Blog Post Styling
Writing result-oriented ad copy is difficult, as it must appeal to, entice, and convince consumers to take action. There is no magic formula to write perfect ad copy; it is based on a number of factors, including ad placement, demographic, even the consumer’s mood when they see your ad.
Introducing Splash. Creative UI Kit template for Webflow
So how is any writer supposed to pen a stunning piece of advertising copy — copy that sizzles and sells? The following tips will jumpstart your creative thinking and help you write a better ad. Consumers are inundated with ads, so it’s vital that your ad catches the eye and immediately grabs interest.
You could do this with a headline or slogan (such as VW’s “Drivers Wanted” campaign), color or layout (Target’s new colorful, simple ads are a testimony to this) or illustration (such as the Red Bull characters or Zoloft’s depressed ball and his ladybug friend). All good advertising copy is comprised of the same basic elements.
Simple & Beautiful
How you write your advertising copy will be based on where you will place your ad. If it’s a billboard ad, you’ll need a super catchy headline and simple design due to the speed at which people will pass. Online ads are similar; consumers are so inundated with Internet advertising that your ad must be quick and catchy.
"Writing result-oriented ad copy is difficult, as it must appeal to, entice, and convince consumers to take action. There is no magic formula to write perfect ad copy."
What would the consumer gain by using your product or service? This could be tangible, like a free gift; prestige, power or fame. But remember: you must be able to make good on that promise, so don’t offer anything unreasonable.
Template Features:
- Beautifully Designed
- Fully Responsive
- CMS Content
- Smooth Interactions
Magazine advertising is the most versatile, but this is solely dependent on the size of your ad and how many other ads compete with yours.
Perfect Template for Creative People
Grabbing the consumer’s attention isn’t enough; you have to keep that attention for at least a few seconds. This is where your benefits come into play or a product description that sets your offer apart from the others.
TEMPLATE FEATURES:
- Beautifully Designed
- Fully Responsive
- CMS Content
- Smooth Interactions
If you have a full page ad, feel free to experiment; more page space gives you more creative space. If the ad is tiny, you’ll need to keep things as simple as possible.


---
layout: layouts/post.njk
title: Opensource.com Interview
permalink: /osd-interview/
date: '2015-07-08'
comments: true
tags:
- open source
- design
- interview
subtitle: How designers can contribute to open source, an interview for the OSCon Speaker Interview Series.
link-out: http://opensource.com/business/15/7/interview-una-kravets-ibm
---
If you are not redirected, please visit this think!


| Class # | Date | Topics/Material | Homeworks/assignments, due on date listed at 11:59pm EDT |
|---|---|---|---|
| Week One | |||
| 1 | June 28 | Orientation | Nothing due, welcome to the course!! |
| 2 | June 29 | Orientation | Read through the syllabus |
| 3 | June 30 | Intro to research modules |
Make sure to submit your time zone information Work on the intro to research modules on Canvas |
| 4 | July 1 | Intro to research modules | Work on the intro to research modules on Canvas |
| 5 | July 2 | Intro to research modules |
Submit your initial project idea Complete intro to research modules on Canvas |
| Week Two | |||
| 6 | July 5 | Holiday (no class work) | Enjoy the holiday! |
| 7 | July 6 | Holiday (no class work) | Work on EvSynth Academy Modules for tomorrow. Remember to take notes! Optionally: watch the introduction to one-pager video under lectures You should also read How to prepare notes for quizzes |
| 8 | July 7 | Intro to evidence synthesis + systematic reviews | Complete the Evidence Synthesis Academy courses.
- Watch "the steps of a systematic review" and complete "Introduction to evidence synthesis"
Extra credit: Submit your notes on Canvas by 11:59pm EDT so that other students can compare their notes with yours
- Submit a screenshot showing you completed the introduction to ev synth module on Canvas here |
| 9 | July 8 | Quiz 1 on Evidence Synthesis | Prepare notes for and take Quiz 1. Start on tomorrow's HW if you have time |
| 10 | July 9 | Work on HW2 on narrowing and revising your project idea. - HW 2 is due Sunday night Take quiz 1 if you haven't yet |
|
| Week Three | |||
| 11 | July 12 | Quantitative vs. Qualitative Research, finding data | Watch "What are qualitative and quantitative research?" and "Tips for finding data" under the lectures tab Start looking at HW 3 |
| 12 | July 13 | Using R | Sign up for Datacamp and begin working on the "introduction to R" module (due Thursday) |
| 13 | July 14 | Stats part 1 | Begin watching remaining week 3 videos (Intro to EDA, probability, hypothesis testing, z/t tests, ANOVA, p values and confidence intervals) - You will be quizzed on all of this week's videos, so make sure you're taking notes! Also look at the related lecture notes here Submit HW 3 |
| 14 | July 15 | Stats part 2 | Complete the Datacamp module Keep watching videos |
| 15 | July 16 | Stats + R | Begin work on HW 4 (groupwork) and studying for the quiz |
| Week Four | |||
| 16 | July 19 | Work on HW 4 and quiz prep | Submit HW 4 |
| 17 | July 20 | TBA | TBA/Study for the quiz |
| 18 | July 21 | TBA | Quiz 2: prob and stats |
| 19 | July 22 | Watch "Key parts of a research paper" and "Common types of bias in research" under week 4 on the lectures page If you haven't already, watch "Tips for finding data" under week 3 lectures |
None (just watch videos) |
| 20 | July 23 | Project Work | Begin further refining of your research question and turning it into a hypothesis |
| Week Five | Project Work | Finish working on HW 5 (due Sunday) Prepare for a quiz 3 on Week 4 content (bias and research paper structure) and citation management |
|
| 21 | July 26 | Quiz, project work | Take Quiz 3 |
| 22 | July 27 | Project Work - Finding More Sources | Read The Craft of Research Chapter 5 "From Problems to Sources" |
| 23 | July 28 | Project Work | Submit HW 6 (literature review) |
| 24 | July 29 | Project Work | Read The Craft of Research Chapter 7-9 |
| 25 | July 30 | Project Work | Submit HW 7 on SUNDAY Read The Craft of Research Chapter 10-11 |
| Week Six | |||
| 26 | August 2 | Project Work | Read The Craft of Research Chapter 15-16 |
| 27 | August 3 | Project Work | Project Work |
| 28 | August 4 | Project Work | Project Work |
| 29 | August 5 | Project/Presentation Work | Watch "How to Speak" |
| 30 | August 6 | Project/Presentation Work | Submit your paper DRAFT (in any form) by NOON tomorrow Read The Truth Wears Off and Scientific Method and Experts |
| Week Seven | |||
| 31 | August 9 | Presentations | Finish reading the articles from Friday, final paper due Wednesday |
| 32 | August 10 | Presentations | Final paper due tomorrow! |
| 33 | August 11 | Project Work (Finishing it) | Congrats on finishing the class! |


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Videos beautifully shot by Barnoid
This really awesome Solenoid Percussion made by Jason Hotchkiss was on display during the Noise Toys workshop organised by Build Brighton. Jason wrote in detail about the process of making it, check it out on his blog.


Susan Granger's review of 'SHADRACH" (Columbia Pictures)
Based on a short story by William Styron, "Shadrach" is a piece of Americana, set in the Depression-era of 1935, as a young boy recalls three unforgettable summer days when he was ten years old. As the only child in a proper, middle-class Virginia family, Paul Whitehurst (Scott Terra) often escapes to the ramshackle house of impoverished neighbors, the earthy, volatile Dabneys (Harvey Keitel, Andie MacDowell), who have seven mischievous children, one of whom is his best friend. One hot afternoon while the boys are shooting marbles, a frail, 99 year-old former slave, Shadrach (John Franklin Sawyer), appears, having walked from Alabama to be buried on the old Dabney grounds he fondly remembers from childhood. When the Dabneys, who have fallen on hard times, realize his quest, attempting to fulfill his final wish and allowing him to die in dignity has a profound effect on everyone, as the family embarks on a heartbreaking, hilarious expedition to the dilapidated family plantation, discovering "Death ain't nothing to be afraid of. It's life to be feared of."  First-time writer/director Susanna Styron's integrity scores with her father's fictionalized, autobiographical, character-driven material, touching our human chord of kindness. Curiously, both "Shadrach" and William Styron's "Sophie's Choice" are about living survivors of the defining tragedy of their century: slavery and the Holocaust, respectively. On the Granger Movie Gauge of 1 to 10, "Shadrach" is a poignant, compassionate 8.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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Forms are probably the most crucial aspect of your web application. Angular 2 forms markup can get quite verbose, particularly when displaying validation errors. Formsy provide UI components that simplify forms markup.
Formsy components wrap standard inputs and try to leave you as much flexibility in building forms markup as possible. We have started this project with both simple and advanced forms in mind.
Project was started on AngularAttack 2016 where we have been able to implement only few planned features. We hope to add more features and examples in future, like Material Design input container and inline editing container.
Current github repo: tb/ng2-formsy
Wrap label, input and error messages in easy to use and flexible bs-input-container
component
Display validations with bs-messages
component (currently tied to ng2-translate
).
Allow to control label size on form level, ensure errors are displayed right under field.
npm i --save ng2-formsy
import {FORMSY_BS_DIRECTIVES} from 'ng2-formsy';
{{ template }}


New repository https://github.com/new Import repository https://github.com/new/import New gist https://gist.github.com share 1,more file public privated. New organization https://github.com/organizations/new
https://github.com/settings/profile Public profile Contributions GitHub Developer Program Jobs profile https://github.com/settings/admin Change password Change username Delete account https://github.com/settings/emails Email Your primary GitHub email address will be used for account-related notifications (e.g. account changes and billing receipts) as well as any web-based GitHub operations (e.g. edits and merges). Keep my email address private We will use<EMAIL_ADDRESS>when performing web-based Git operations and sending email on your behalf. If you want command line Git operations to use your private email you must set your email in Git. Email preferences https://github.com/settings/notifications Notifications Email notification preferences Custom routing https://github.com/settings/billing Billing overview Payment history https://github.com/settings/keys SSH keys This is a list of SSH keys associated with your account. Remove any keys that you do not recognize. GPG keys New GPG key There are no GPG keys with access to your account. Learn how to generate a GPG key and add it to your account. https://github.com/settings/security Two-factor authentication Two-factor authentication provides another layer of security to your account. Sessions This is a list of devices that have logged into your account. Revoke any sessions that you do not recognize Security history This is a security log of important events involving your account https://github.com/settings/blocked_users Block a user Blocking a user prevents the following on all your repositories: opening or commenting on issues or pull requests starring, forking, or watching adding or editing wiki pages Additionally, blocked users are not able to: invite you as a collaborator to their repositories follow your account's public activity send you notifications by @mentioning your username in public repositories https://github.com/settings/repositories https://github.com/settings/organizations https://github.com/settings/replies Saved replies are re-usable text snippets that you can use throughout GitHub comment fields. Saved replies can save you time if you’re often typing similar responses. Learn more. https://github.com/settings/applications Read more about connecting with third-party applications at GitHub Help. https://github.com/settings/installations Integrations augment and extend your workflows on GitHub with commercial, open source, and homegrown tools. Browse our directory to discover and install some of our favorites or build your own. https://github.com/settings/developers OAuth applications are used to access the GitHub API. Read the docs to find out more. https://developer.github.com/ https://github.com/settings/integrations User owned integrations Want to build something that integrates with and extends GitHub? Register a new integration to get started developing on the GitHub API. You can also read more about building integrations in our developer documentation. https://github.com/settings/tokens Personal access tokens Generate new token Revoke all Tokens you have generated that can be used to access the GitHub API. EditDelete Personal access tokens function like ordinary OAuth access tokens. They can be used instead of a password for Git over HTTPS, or can be used to authenticate to the API over Basic Authentication.
examples: repositories remove-css-not-need.
https://github.com/tranquangchau/remove-css-not-need/settings Features Wikis GitHub Wikis is a simple way to let others contribute content. Any GitHub user can create and edit pages to use for documentation, examples, support, or anything you wish. Restrict editing to collaborators only Public wikis will still be readable by everyone. Issues GitHub Issues adds lightweight issue tracking tightly integrated with your repository. Add issues to milestones, label issues, and close & reference issues from commit messages. Merge button When merging pull requests, you can allow any combination of merge commits, squashing, or rebasing. At least one option must be enabled. Allow merge commits Add all commits from the head branch to the base branch with a merge commit. Allow squash merging Combine all commits from the head branch into a single commit in the base branch. Allow rebase merging Add all commits from the head branch onto the base branch individually. GitHub Pages GitHub Pages is designed to host your personal, organization, or project pages from a GitHub repository. Source GitHub Pages is currently disabled. Select a source below to enable GitHub Pages for this repository. Learn more. Theme chooser Select a theme to build your site with a Jekyll theme using the master branch. Learn more. https://help.github.com/articles/creating-a-github-pages-site-with-the-jekyll-theme-chooser/ Danger Zone Make private Make this repository private Please upgrade your plan to make this repository private. Transfer Transfer ownership Transfer this repository to another user or to an organization where you have the ability to create repositories. Delete this repository Delete this repository Once you delete a repository, there is no going back. Please be certain. https://github.com/tranquangchau/remove-css-not-need/settings/collaboration https://github.com/tranquangchau/remove-css-not-need/settings/branches The default branch is considered the “base” branch in your repository, against which all pull requests and code commits are automatically made, unless you specify a different branch. Protect branches to disable force pushing, prevent branches from being deleted, and optionally require status checks before merging. New to protected branches? Learn more. https://github.com/tranquangchau/remove-css-not-need/settings/hooks Webhooks allow external services to be notified when certain events happen within your repository. When the specified events happen, we’ll send a POST request to each of the URLs you provide. Learn more in our Webhooks Guide. More Webhooks Guide Webhooks allow you to build or set up integrations which subscribe to certain events on GitHub.com. When one of those events is triggered, we'll send a HTTP POST payload to the webhook's configured URL. Webhooks can be used to update an external issue tracker, trigger CI builds, update a backup mirror, or even deploy to your production server. You're only limited by your imagination. Each webhook can be installed on an organization or a specific repository. Once installed, they will be triggered each time one or more subscribed events occurs on that organization or repository. https://developer.github.com/webhooks/ https://github.com/tranquangchau/remove-css-not-need/settings/installations Integrations augment and extend your workflows on GitHub with commercial, open source, and homegrown tools. Browse our directory to discover and install some of our favorites or build your own. Services are pre-built integrations that perform certain actions when events occur on GitHub. https://github.com/tranquangchau/remove-css-not-need/settings/keysBackhome


{% extends "base.html" %} {% import 'bootstrap/wtf.html' as wtf %} {% block app_content %}
GroupGen.io helps educators create groups for projects and seating charts.
Inspiration and user testing provided by S.L.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object javagene.seq.SeqFast
public class SeqFast
A SeqI implementation that keeps the entire sequence in memory. The sequence must be ungapped (ie contiguous) and is untyped (ie might be dna, rna, codons, ambiguous, etc.).
| Constructor Summary | |
|---|---|
SeqFast(SeqI sequence)
Construct SeqFast object from an arbitrary SeqI object. |
|
SeqFast(java.lang.String seqData,
java.lang.String id,
java.lang.String description)
Construct SeqFast object from string data. |
| Method Summary | |
|---|---|
Location |
bounds()
Get the bounding location of this sequence. |
java.lang.String |
description()
Get the text description of the sequence. |
java.lang.String |
id()
Get the (single-word) identifier of the sequence. |
Location |
locationOf(java.lang.String searchText)
Return the location of the parameter string in this sequence. |
SeqFast |
subseq(Location location)
Create a new sequence containing only the portion specified by the location parameter. |
SeqFast |
subseq(Location location,
java.lang.String id,
java.lang.String description)
Create a new sequence containing only the portion specified by the location parameter, with the specified id and description. |
java.lang.String |
toReverseString(Location location)
Get the IUPAC character string representation of the subsequence specified by the location parameter, in reverse order. |
java.lang.String |
toString()
Get the IUPAC character string representation of this entire sequence. |
java.lang.String |
toString(Location location)
Get the IUPAC character string representation of the subsequence specified by the location parameter. |
java.lang.String |
toTaggedString(Location location,
java.lang.String beginTag,
java.lang.String endTag)
Get the IUPAC representation of the entire sequence, bracketing the portion specified by the location parameter with the specified begin and end tags. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public SeqFast(SeqI sequence)
sequence
- A SeqI object.public SeqFast(java.lang.String seqData, java.lang.String id, java.lang.String description)
seqData
- id
- description
- | Method Detail |
|---|
public Location bounds()
bounds
in interface SeqI
public java.lang.String description()
SeqI
description
in interface SeqI
public java.lang.String id()
SeqI
id
in interface SeqI
public Location locationOf(java.lang.String searchText)
searchText
- The string to search for.
public SeqFast subseq(Location location)
subseq
in interface SeqI
location
- The portion of the sequence to get.
java.lang.IndexOutOfBoundsException
- The location parameter was not within the bounding location
of the sequence.public SeqFast subseq(Location location, java.lang.String id, java.lang.String description)
subseq
in interface SeqI
location
- The portion of the sequence to get.id
- The new single-word id.description
- The new description line.
java.lang.IndexOutOfBoundsException
- The location parameter was not within the bounding location
of the sequence.public java.lang.String toReverseString(Location location)
location
- The portion of the sequence to get.
java.lang.IndexOutOfBoundsException
- The location parameter was not within the bounding location
of the sequence.public java.lang.String toString()
SeqI
toString
in interface SeqI
toString
in class java.lang.Object
public java.lang.String toString(Location location)
SeqI
toString
in interface SeqI
location
- The portion of the sequence to get.
public java.lang.String toTaggedString(Location location, java.lang.String beginTag, java.lang.String endTag)
location
- Location of the interesting portion of the sequence.beginTag
- The string to put before the portion of interest.endTag
- The string to put after the portion of interest.
java.lang.IndexOutOfBoundsException
- The location parameter was not within the bounding location
of the sequence.
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Online research showed that the majority of accidents occur during 5-7 pm. There are a lot of cars in the road at this time, and it becomes darker. Pedestrian scrambles generally lead to safer intersections. When an accident occurs between a driver and a pedestrian, it is usually the pedestrian's fault
After spending an hour watching intersections in downtown San Diego, we witnessed cars making the wrong turn onto one way streets, pedestrians crossing streets when its red for them, and drivers interacting with cyclists and pedestrians to signal who's turn it was to proceed.
We interviewed people who are from other countries, and they were surprised at how cars are allowed to make right turns, even when it is the pedestrian's right of way. Others felt as though a pedestrian scramble was the safest means of crossing streets. Another pedestrian expressed concern that often drivers don't notice him when he is walking
We came up with an idea to utilize the smart street lights that are in place around San Diego. These lights can process images in real time. We want to take that information and display it to drivers so they have an close up view of an intersection. The information relayed would be important street signs, nearby pedestrians and cyclists, and obstructions in the road.
We tested our design with 7 drivers all of different ages and different amounts of experience with driving. We compared how distracted they were using google maps vs our design.
We pivoted our design to be audio based. The app would alert drivers in a situation of danger. This design would mimic a front seat driver who warns the driver of pedestrians, cyclists, and other drivers. This new prototype is called P.A.C (Personal Assistant for your car)
Alexander Chen
Product Design, 3rd year
Marie Schneider
Cognitive Science, 5th year
Tamar Esserman
Cognitive Science, 4th year
Yuka Okina
Product Design, 4th year


Our app consists of an uber-inspired laundry cleaning service. You put your laundry in a basket and put it in the designated drop-off point, where a pickup truck will take it to your preferred dry cleaners. After your request is fulfilled the distributor will make the return journey and return it promptly. Its main users are threefold: students that either don’t have time or don’t know how to do their laundry, city-residents that don’t have the proper conditions to do so and people that just want to not have the work. Not mutually exclusive of course!


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“Yoga is not about touching your toes, it’s about what you learn on the way down.”
-Judith Lasate
“The success of Yoga does not lie in the ability to perform postures but in how it positively changes the way we live our life and our relationships.”
“Yoga is the restraining of the operations of mind born of conditioning.” Patanjali Yoga Sutras 1:2


Match Play. Red leads 5-1 to 7. How should Red play 43?
pips Red=108 White=81
(CorrectAnswer= 0/0, ErrorScore= 0)
Red worried about losing a freak gammon here and played the weak 11/4, leaving only one exposed blot.
However, he should just have played ‘normal’ backgammon. The best way to win the game is to close out White and that should start with the correct play of 9/2*. Any other play is at least a blunder.
Many players tighten up when leading and play over-cautiously and this position is a classic example of that.
However, he should just have played ‘normal’ backgammon. The best way to win the game is to close out White and that should start with the correct play of 9/2*. Any other play is at least a blunder.
Many players tighten up when leading and play over-cautiously and this position is a classic example of that.
1. Cubeful 2-ply 9/2* Eq.: +0.697 0.865 0.284 0.011 - 0.135 0.031 0.000 2. Cubeful 2-ply 13/10 6/2* Eq.: +0.664 (-0.033) 0.852 0.267 0.012 - 0.148 0.038 0.000 3. Cubeful 2-ply 11/8 6/2* Eq.: +0.654 (-0.044) 0.852 0.260 0.010 - 0.148 0.048 0.000 4. Cubeful 2-ply 9/6 9/5 Eq.: +0.632 (-0.065) 0.825 0.232 0.009 - 0.175 0.017 0.000 5. Cubeful 2-ply 11/4 Eq.: +0.619 (-0.078) 0.820 0.229 0.009 - 0.180 0.019 0.000


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--- layout: post title: "Sharing your iTunes Library between OS X and Windows" postId: 194 ---
My main computer is an Apple MacBook Pro running both OS X Snow Leopard and Windows 7 using Boot Camp. I tend to boot between the two operating systems quite frequently so I wanted to see if it was possible to share my iTunes library between them.
It turns out that this is quite easy to set up. This guide assumes that the OS X iTunes library is your 'main' library and that iTunes is set to "Keep iTunes Music Folder organized".
By default, the OS X version of iTunes stores your iTunes library in a file called "iTunes Library" under ~/Music/iTunes. You'll need to rename this file in order to give it a .itl extension in order for the windows version of iTunes to use it (the OS X version of iTunes can use the file both with or without the .itl file extension).
On your Windows partition install MacDrive. This is a $49 piece of software that allows you to read and write mac-formatted drives from under Windows*. Once this is installed, your OS X partition will be available to read and write (in my case, as the "E:" drive)
In Windows, delete your existing iTunes folder (under %USERPROFILE%MusiciTunes) and then create a symbolic link that points to your Mac iTunes library. This can be done by opening a command prompt and issuing the following commands:
cd %USERPROFILE%Music
mklink /d iTunes E:Users<Your username>MusiciTunes
You should see output like this:
Note: The mlink command is only available in Windows Vista or newer
At this point you should be able to open iTunes and your library should be available. The only irritation I've found is that each time you switch operating systems iTunes has to re-build the library. My library is very small so this only takes a few seconds. On a larger library this could be more problematic.
* Note: if you don't want to pay for MacDrive you could always reverse the process and keep the main iTunes library under Windows and then use MacFuse to read/write your windows partition from under OS X.


Timothy Robert Reed
Unafffiliated
Human Resources executive. Currently employed by Relevant Play, LLC, as the Vice President of People Operations
BA in Recreation Administration, MS in Recreation Administration, MA in Organizational Psychology, Ph.D. in Organizational Psychology.
80512
I have abstained from actively organizing for any single interest group in Colorado, other than activities related to representing state chartered credit unions.
Donations have been made to Credit Union Legislative Action Council (CULAC), the federal PAC of the Credit Union National Association (CUNA). Total donation amount over the last 5 years was $350 or less.
I serve on the Board of Canvas Credit Union, currently as the Chair of the Board. I have served on neighborhood road associations in the past.
I believe I am impartial to the major issues that both major political parties strive to represent, and can better serve the people of Colorado in this capacity.
I have been working as a trained facilitator for nearly 30 years. In my professional life I assume the role of seeking consensus and pragmatic solutions that consider as many interests as possible, while not over weighting any single issue, unless there is a data-driven argument to do so. Because of my background, and political neutrality, I believe I am best suited to help Colorado address the next legislative redistricting.
My academic background includes heavy data analysis, interpretation, and reasoning to suggest potential solutions. My professional background requires the same, and additionally requires the application of logic and reasoning to solve problems.
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| I l@ve RuBoard |
7.3 The select ModuleThis select module, shown in Example 7-6, allows you to check for incoming data on one or more sockets, pipes, or other compatible stream objects. You can pass one or more sockets to the select function to wait for them to become readable, writable, or signal an error:
Example 7-6. Using the select Module to Wait for Data Arriving Over SocketsFile: select-example-1.py import select import socket import time PORT = 8037 TIME1970 =<PHONE_NUMBER>L service = socket.socket(socket.AF_INET, socket.SOCK_STREAM) service.bind(("", PORT)) service.listen(1) print "listening on port", PORT while 1: is_readable = [service] is_writable = [] is_error = [] r, w, e = select.select(is_readable, is_writable, is_error, 1.0) if r: channel, info = service.accept() print "connection from", info t = int(time.time()) + TIME1970 t = chr(t>>24&255) + chr(t>>16&255) + chr(t>>8&255) + chr(t&255) channel.send(t) # send timestamp channel.close() # disconnect else: print "still waiting" listening on port 8037 still waiting still waiting connection from ('<IP_ADDRESS>', 1469) still waiting connection from ('<IP_ADDRESS>', 1470) ... In Example 7-6, we wait for the listening socket to become readable, which indicates that a connection request has arrived. We treat the channel socket as usual, since it's not very likely that writing the four bytes will fill the network buffers. If you need to send larger amounts of data to the client, you should add the data to the is_writable list at the top of the loop and write only when told to by select. If you set the socket in non-blocking mode (by calling the setblocking method), you can use select to wait for a socket to become connected, but the asyncore module (see the next section) provides a powerful framework that handles all this for you, so I won't go into further detail here. |
| I l@ve RuBoard |


--- layout: post status: publish published: true title: Color Schemes in SQL 2005 Management Studio author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 938 wordpress_url: http://winterdom.com/2007/10/colorschemesinsql2005managementstudio date: '2007-10-31 06:23:32 +0000' date_gmt: '2007-10-31 06:23:32 +0000' categories: - VS Color Scheme tags: [] comments: - id: 659 author: Damien Guard author_email<EMAIL_ADDRESS>author_url: http://damieng.com/ date: '2007-10-31 14:41:29 +0000' date_gmt: '2007-10-31 14:41:29 +0000' content: | Cool, look forward to trying this back in the office tomorrow. [)amien - id: 660 author: Murat Topçu author_email<EMAIL_ADDRESS>author_url: http://www.murattopcu.com date: '2007-12-10 07:15:48 +0000' date_gmt: '2007-12-10 07:15:48 +0000' content: | Thanx ;) - id: 1035 author: Pradeep K. author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-15 15:20:59 +0000' date_gmt: '2009-07-15 15:20:59 +0000' content: Took me some time to convert this to VB .Net, and figure out a way to make it work between VS 2008 and SSMS 2008... But it was well worth it! Many thanks. - id: 1067 author: Chris author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-31 19:27:31 +0000' date_gmt: '2009-07-31 19:27:31 +0000' content: Pradeep, can you share? - id: 1090 author: Simon Morley author_email<EMAIL_ADDRESS>author_url: '' date: '2009-08-13 12:34:23 +0000' date_gmt: '2009-08-13 12:34:23 +0000' content: "Just change the registry values to the following for Visual Studio 2008 -> SSMS 2008\r\n\r\nSRC_KEY = @\"Software\\Microsoft\\VisualStudio\\9.0\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}\";\r\n\r\nDST_KEY = @\"Software\\Microsoft\\Microsoft SQL Server\\100\\Tools\\Shell\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}\";\r\n\r\nThanks to Tomas for this handy tool!" - id: 1104 author: TextMate theme for SSMS 2005/2008 - blah blah blah author_email: '' author_url: http://slinkysoftware.com/blog/?p=10 date: '2009-08-25 23:23:02 +0000' date_gmt: '2009-08-25 23:23:02 +0000' content: "[...] after a little digging on google I managed to find this post by Tomas Restrepo where he had actually written a tool to import the registry settings from [...]" - id: 1203 author: Dragos author_email<EMAIL_ADDRESS>author_url: http://adchubs.com date: '2009-11-05 11:40:23 +0000' date_gmt: '2009-11-05 11:40:23 +0000' content: Thanks a lot man! - id: 1318 author: kostya author_email<EMAIL_ADDRESS>author_url: http://www.wordz.ru date: '2010-03-04 10:01:33 +0000' date_gmt: '2010-03-04 10:01:33 +0000' content: "Great job!!!\r\nYou save my eyes ;-)" - id: 1319 author: Stu author_email<EMAIL_ADDRESS>author_url: '' date: '2010-03-04 12:15:58 +0000' date_gmt: '2010-03-04 12:15:58 +0000' content: "Hey Tomas\r\n\r\nI've been using one of your dark themes (Ragnarok Grey) with VS2008 for a while and I love it. I'm looking to use this in SSMS2008 too but I'm struggling to find by reg key to back it up. You might say that if I don't even know where to find this I really shouldn't be messing about with it, but I'm dying to bring SSMS to the dark side!" - id: 1320 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ date: '2010-03-04 23:32:18 +0000' date_gmt: '2010-03-04 23:32:18 +0000' content: "@Stu: Did you see the comment left by Simon above about which keys to change in the app to do the migration for you?" - id: 1322 author: Stu author_email<EMAIL_ADDRESS>author_url: '' date: '2010-03-09 12:27:46 +0000' date_gmt: '2010-03-09 12:27:46 +0000' content: "@Tomas - I saw that, sorry my question wasn't clear. The part I'm having difficulty with is backing up my existing registry key in case of catastrophe! Should I modify the code to do this before the settings are transferred over or is there a way of doing this through Windows explorer?" - id: 1323 author: Stu author_email<EMAIL_ADDRESS>author_url: '' date: '2010-03-09 12:33:44 +0000' date_gmt: '2010-03-09 12:33:44 +0000' content: "@Tomas\r\n\r\nSorry - I've done some googling as I should have in the first place and found some regedit docs... I'll figure it out. Thanks a lot!" - id: 1397 author: Mareo Code » List of freeware goodies for C# developer – tools, libraries, visualizers, controls etc. for free author_email: '' author_url: http://code.mareoblo.pl/2010/04/05/freeware-list-csharp-developer-toolbox-tools-libraries-visualizers/ date: '2010-04-15 08:22:33 +0000' date_gmt: '2010-04-15 08:22:33 +0000' content: "[...] http://winterdom.com/2007/10/colorschemesinsql2005managementstudio This is a simple utility that will port your current VS2005/2008 Fonts And Colors Settings (just [...]" - id: 1481 author: Jeff S author_email<EMAIL_ADDRESS>author_url: '' date: '2010-05-07 20:07:33 +0000' date_gmt: '2010-05-07 20:07:33 +0000' content: "This worked fine with Visual Studio 2010 as well. Just change Simon's suggestion from above:\r\n\r\nJust change the registry values to the following for Visual Studio 2010 -> SSMS 2008\r\n\r\nSRC_KEY = @”Software\\Microsoft\\VisualStudio\\10.0\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}”;\r\n\r\nDST_KEY = @”Software\\Microsoft\\Microsoft SQL Server\\100\\Tools\\Shell\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}”;" - id: 1490 author: Rodolfo author_email<EMAIL_ADDRESS>author_url: '' date: '2010-05-18 21:57:47 +0000' date_gmt: '2010-05-18 21:57:47 +0000' content: "What happens if im using windows 7 64bits (sql server 2005, visual studio 2008)\r\ndo the keys referenced on the program change?\r\n\r\nthanks" - id: 1491 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ date: '2010-05-19 00:19:22 +0000' date_gmt: '2010-05-19 00:19:22 +0000' content: "@Rodolfo: They shouldn't, I think, but not sure; I don't usually run my main dev environment on x64. However, both VS and SQL management tools are 32-bit, so you'd likely be fine if you force the tool to run as a 32-bit process as well." - id: 1547 author: Chris Grove author_email<EMAIL_ADDRESS>author_url: '' date: '2010-07-29 07:59:27 +0000' date_gmt: '2010-07-29 07:59:27 +0000' content: Top utility, thanks. - id: 1549 author: Shardul author_email<EMAIL_ADDRESS>author_url: '' date: '2010-08-07 18:30:42 +0000' date_gmt: '2010-08-07 18:30:42 +0000' content: "This worked like a charm !\r\nJust the kind of stuff that makes me more productive while not being bothered by the unnecessary eye-strain.\r\nBy the way, with a bit of tweak, I got my SSMS2008 to wear the Ragnarök Grey theme by borrowing it from VS2010. Pretty neat." - id: 1565 author: kyrisu author_email<EMAIL_ADDRESS>author_url: http://codingzombies.com date: '2010-09-15 11:20:23 +0000' date_gmt: '2010-09-15 11:20:23 +0000' content: Just stopped by to say thanks! Great tool! - id: 1592 author: rene martin author_email<EMAIL_ADDRESS>author_url: '' date: '2010-10-14 16:55:35 +0000' date_gmt: '2010-10-14 16:55:35 +0000' content: great utility, thanks man - id: 1626 author: Greg author_email<EMAIL_ADDRESS>author_url: '' date: '2010-12-01 13:28:52 +0000' date_gmt: '2010-12-01 13:28:52 +0000' content: "Is there a simple way to port the VS2010 editor colors to a different computer\r\nalso running VS2010?" - id: 1639 author: Dave author_email<EMAIL_ADDRESS>author_url: '' date: '2010-12-23 01:55:37 +0000' date_gmt: '2010-12-23 01:55:37 +0000' content: Just want to say thank you. Saved me loads of time instead of doing this manually. - id: 1662 author: Maverik Gately author_email<EMAIL_ADDRESS>author_url: '' date: '2011-01-27 11:07:23 +0000' date_gmt: '2011-01-27 11:07:23 +0000' content: "Thanks a lot for this utility.\r\n\r\n@Greg: use the Import/Export Settings from Tools menu in VS2010\r\n\r\n@Tomas Restrepo: The utility is doing the registry magic in HKEY_CURRENT_USER, so bitness of OS doesn't matter :) Confirmed working on 64bit OS with VS2010-SSMS2008 (Thanks @Jeff S for saving me time to find the tweak myself :) )." - id: 1682 author: Richie author_email<EMAIL_ADDRESS>author_url: '' date: '2011-03-17 15:50:22 +0000' date_gmt: '2011-03-17 15:50:22 +0000' content: Thanks a million! - id: 1690 author: Adam author_email<EMAIL_ADDRESS>author_url: '' date: '2011-04-05 15:22:28 +0000' date_gmt: '2011-04-05 15:22:28 +0000' content: Thanks so much, awesome tool! Saved my time and sanity! - id: 1755 author: Sekhar author_email<EMAIL_ADDRESS>author_url: '' date: '2011-07-13 00:30:31 +0000' date_gmt: '2011-07-13 00:30:31 +0000' content: "Thnaks alot for this tool\r\n\r\nIt is working perfectly with VS2010 to SSMS 2008.\r\n\r\nDo you know any to way change the color settings for message window and result window in SSMS 2008 ?" - id: 1777 author: Rich F author_email<EMAIL_ADDRESS>author_url: '' date: '2011-08-26 15:33:30 +0000' date_gmt: '2011-08-26 15:33:30 +0000' content: Thank you for doing this! Dark backgrounds are so much easier on my aging feeble eyes. - id: 1803 author: ald author_email<EMAIL_ADDRESS>author_url: http://afrael.loquesea.org date: '2011-10-04 14:41:46 +0000' date_gmt: '2011-10-04 14:41:46 +0000' content: Awesome tool -- buen trabajo pana =) - id: 1806 author: Tomislav author_email<EMAIL_ADDRESS>author_url: '' date: '2011-10-09 11:14:25 +0000' date_gmt: '2011-10-09 11:14:25 +0000' content: Great, thanks a lot!!! - id: 1831 author: Jim author_email<EMAIL_ADDRESS>author_url: '' date: '2011-11-03 03:37:32 +0000' date_gmt: '2011-11-03 03:37:32 +0000' content: SSMS is so much easier on the eyes now -- thank you! - id: 1836 author: Pek author_email<EMAIL_ADDRESS>author_url: '' date: '2011-11-07 15:59:43 +0000' date_gmt: '2011-11-07 15:59:43 +0000' content: "Thanks! But for some reason the column names and the table names are not being coloured. I tried the son-of-obsidian_vs2008.vssettings which is the one I have in VS2008, but for some reason it does not make it completely. Have some run into this and knows have to solve it?\r\nThanks!" - id: 1846 author: Novice author_email<EMAIL_ADDRESS>author_url: '' date: '2011-11-16 07:08:11 +0000' date_gmt: '2011-11-16 07:08:11 +0000' content: This is great..! color tweaking to prevent your eyes from getting too much stress. ^.^ - id: 1851 author: debuke author_email<EMAIL_ADDRESS>author_url: '' date: '2011-12-02 17:46:55 +0000' date_gmt: '2011-12-02 17:46:55 +0000' content: i just lost my system (thx safeboot) and was restoring my colours... since the Oren Ellenbogen's Dark Scheme links don't work anymore, i found another good one (close to that one)... and it looks awesome in my sql ide... thx again! - id: 2065 author: John DelNostro author_email<EMAIL_ADDRESS>author_url: '' date: '2012-03-09 16:25:06 +0000' date_gmt: '2012-03-09 16:25:06 +0000' content: "Any ideas on how to apply this to SSMS 2012? I'm not seeing the registry key. This color scheme is awesome would love to use it in 2012. Any ideas on the font, colors etc might have to manually edit it for the time being.\r\n\r\nThanks!" - id: 2154 author: Duncan author_email<EMAIL_ADDRESS>author_url: '' date: '2012-03-21 16:43:45 +0000' date_gmt: '2012-03-21 16:43:45 +0000' content: Mr. Restrepo, any chance of an upgrade for 2012? I love this tool.... - id: 2319 author: Tony Carolla author_email<EMAIL_ADDRESS>author_url: http://www.medamericabilling.com/ date: '2012-04-12 14:51:47 +0000' date_gmt: '2012-04-12 14:51:47 +0000' content: "Thanks for the utility! I am running Win7 with Microsoft SSMS 2008 R2, and Visual Studio 2010 Pro, and I had success by changing the two variables to:\r\n\r\n \ private const string SRC_KEY = @\"Software\\Microsoft\\VisualStudio\\10.0\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}\";\r\n \ private const string DST_KEY = @\"Software\\Microsoft\\Microsoft SQL Server\\100\\Tools\\Shell\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}\";\r\n\r\nAgain, thanks much, this will make my forays into SQL easy on the peepers!" - id: 2629 author: Chirag author_email<EMAIL_ADDRESS>author_url: '' date: '2012-06-13 15:12:08 +0000' date_gmt: '2012-06-13 15:12:08 +0000' content: 'Thanks a lot .! it Saved my lots of time : )' - id: 2866 author: Eric Sabine author_email<EMAIL_ADDRESS>author_url: https://twitter.com/esabine date: '2012-08-04 21:11:42 +0000' date_gmt: '2012-08-04 21:11:42 +0000' content: Porting to SSMS 2012, use @"Software\Microsoft\SQL Server Management Studio\11.0\FontAndColors\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0} - id: 3348 author: Keith author_email<EMAIL_ADDRESS>author_url: '' date: '2012-10-23 15:59:17 +0000' date_gmt: '2012-10-23 15:59:17 +0000' content: The src will change with VS2012. I entered 11.0 for the version and no go. Any ideas? - id: 6660 author: John author_email<EMAIL_ADDRESS>author_url: '' date: '2013-01-15 16:08:10 +0000' date_gmt: '2013-01-15 16:08:10 +0000' content: Doesn't work with Visual Studio 2012, there is no Software\Microsoft\SQL Server Management Studio\11.0\FontAndColors\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}. The dark theme for Visual Studio 2012 is excellent as well - id: 7077 author: ike author_email<EMAIL_ADDRESS>author_url: http://zonafriki.apphb.com date: '2013-01-20 22:33:17 +0000' date_gmt: '2013-01-20 22:33:17 +0000' content: i have a little problem with numbers on sql, it’s black color like the background, exist any solution??? - id: 8917 author: SQL Server Management Studio Color Schemes? author_email: '' author_url: http://denihow.com/sql-server-management-studio-color-schemes/ date: '2013-02-14 03:21:33 +0000' date_gmt: '2013-02-14 03:21:33 +0000' content: "[...] With some googling, I came across: Color Schemes in SQL 2005 Management Studio. [...]" - id: 11483 author: Muthu author_email<EMAIL_ADDRESS>author_url: '' date: '2013-04-03 18:45:12 +0000' date_gmt: '2013-04-03 18:45:12 +0000' content: Cool tool to use. Thanks a lot. - id: 22045 author: patrick author_email<EMAIL_ADDRESS>author_url: '' date: '2013-08-22 21:47:57 +0000' date_gmt: '2013-08-22 21:47:57 +0000' content: How to apply color theme to SSMS 2008. I do not have VS installed in the Laptop and I do not have admin rights so I cannot make changes to the registry. Please help and my eyes would appreciate very much. Thanks - id: 25343 author: Bill author_email<EMAIL_ADDRESS>author_url: '' date: '2013-09-11 19:47:34 +0000' date_gmt: '2013-09-11 19:47:34 +0000' content: "Awesome! Thank you! I got it to work with VS 2012 to SSMS 2008 R2 by modifying the source code in the following manner:\r\n\r\n1 - Add a new private const string for the category the Plain Text registry values are in 'private const string SRC_PT_KEY = @\"Software\\Microsoft\\VisualStudio\\11.0\\FontAndColors\\{58E96763-1D3B-4E05-B6BA-FF7115FD0B7B}\";'\r\n2 - Comment out old ' // hack: ' in CopyValue function that was for older VS.\r\n3 - Add new '_map' key/value pair(s) for 'Plain Text' registry values.\r\n \ a - Plain Text Background, Plain Text FontFlags, Plain Text Foreground\r\n4 - Done! Run program!" - id: 25344 author: Bill author_email<EMAIL_ADDRESS>author_url: '' date: '2013-09-11 19:51:00 +0000' date_gmt: '2013-09-11 19:51:00 +0000' content: "I forgot to mention one more step after step 3 in my previous post. Add the following to the Copy method.\r\n\r\nRegistryKey PTsrc = Registry.CurrentUser.OpenSubKey(SRC_PT_KEY);\r\n\r\n \ // now copy plain text from seperate category (VS2012) \r\n \ foreach (KeyValuePair valname in _map)\r\n {\r\n if (valname.Key.StartsWith(\"Plain Text\"))\r\n {\r\n dst.SetValue(valname.Key, PTsrc.GetValue(valname.Key));\r\n }\r\n }" - id: 27445 author: barquerol author_email<EMAIL_ADDRESS>author_url: '' date: '2013-10-10 22:23:04 +0000' date_gmt: '2013-10-10 22:23:04 +0000' content: Thank you very much!! - id: 27543 author: KL author_email<EMAIL_ADDRESS>author_url: '' date: '2013-10-11 20:53:40 +0000' date_gmt: '2013-10-11 20:53:40 +0000' content: Absolutely a wonderful tool. Ported SSMS 2008 R2 color scheme to SSMS 2012. It is an eye sore for me to look at the teal table/column color scheme in SSMS 2012, glad it is back to black color just like SSMS 2008. Thank you so much, I love everything about SSMS 2012 and almost abandon using it because I hate the query color scheme. Thanks again. - id: 41129 author: Jeff author_email<EMAIL_ADDRESS>author_url: '' date: '2013-12-09 03:46:12 +0000' date_gmt: '2013-12-09 03:46:12 +0000' content: "Can someone explain step by step for a complete noob how to do this? I read this comment and found the registry file and dont undertand what in the world i am exactly needing to do. I want to Change SSMS 2008 to dark as its easier on my eyes. \r\n\r\nJust change the registry values to the following for Visual Studio 2008 -> SSMS 2008\r\n\r\nSRC_KEY = @”Software\\Microsoft\\VisualStudio\\9.0\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}”;\r\n\r\nDST_KEY = @”Software\\Microsoft\\Microsoft SQL Server\\100\\Tools\\Shell\\FontAndColors\\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}”;" - id: 46538 author: Diego Galeano author_email<EMAIL_ADDRESS>author_url: '' date: '2013-12-24 16:02:40 +0000' date_gmt: '2013-12-24 16:02:40 +0000' content: "Hi\r\nCould someone please post the code to export VS2012 to SSMS 2008 ?\r\nor email it to me at diego.galeano at gmail ?\r\nI tried to follow Bill's instructions and couldn't make it work.\r\nThanks in advance" - id: 515761 author: Joshua Himing author_email<EMAIL_ADDRESS>author_url: '' date: '2015-04-30 06:05:36 +0000' date_gmt: '2015-04-30 06:05:36 +0000' content: To target SMSS 2014, update DST_KEY to "Software\Microsoft\SQL Server Management Studio\12.0\FontAndColors\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}" ---
As many of you know, I spend time every now and then coming up with new color schemes for Visual Studio 2005. It's fun, and having a good color scheme can make all the difference in the world to your eyes when spending long times in front of your screen writing code.
I use dark backgrounds, so it was always painful to switch to SQL Server 2005 Management Studio to write SQL code, because I had not configured a custom color scheme there. I also didn't want to have to spend more time doing so, particularly since Management Studio has no Import/Export Settings wizard.
Enter VSColorsToSql
This is a simple utility I wrote last night that will port your current VS2005 Fonts And Colors Settings (just for the code editor, mind you) to Management Studio. It's nothing fancy, so all it does is copy some registry settings around. Here's my current scheme:
It does make some assumptions and and a few changes: Turns out the SQL and XML editors in VS use different settings than the corresponding ones in Management Studio! Hopefully, the mappings I selected will give you something usable as well.
Just to be on the safe side, you can export your existing Management Studio settings by backing up this registry key:
HKEY_CURRENT_USER\Software\Microsoft\Microsoft SQL Server\90\
Tools\Shell\FontAndColors\{A27B4E24-A735-4D1D-B8E7-9716E1E3D8E0}
You can download the code from here.


Hello, Jay Here an enthusiastic full stack web devloper who loves to create a projects that helps the community. I describe myself as a passionate developer who loves coding, open source, and the web platform
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Form-Bulider
Dynamic Form-Builder made with html, css, php with the various functionality present in the normal form.


Time Series analysis tsa
¶
statsmodels.tsa
contains model classes and functions that are useful
for time series analysis. Basic models include univariate autoregressive models (AR),
vector autoregressive models (VAR) and univariate autoregressive moving average models
(ARMA). Non-linear models include Markov switching dynamic regression and
autoregression. It also includes descriptive statistics for time series, for example autocorrelation, partial
autocorrelation function and periodogram, as well as the corresponding theoretical properties
of ARMA or related processes. It also includes methods to work with autoregressive and
moving average lag-polynomials.
Additionally, related statistical tests and some useful helper functions are available.
Estimation is either done by exact or conditional Maximum Likelihood or conditional least-squares, either using Kalman Filter or direct filters.
Currently, functions and classes have to be imported from the corresponding module, but the main classes will be made available in the statsmodels.tsa namespace. The module structure is within statsmodels.tsa is
stattools : empirical properties and tests, acf, pacf, granger-causality, adf unit root test, kpss test, bds test, ljung-box test and others.
ar_model : univariate autoregressive process, estimation with conditional and exact maximum likelihood and conditional least-squares
arima_model : univariate ARMA process, estimation with conditional and exact maximum likelihood and conditional least-squares
statespace : Comprehensive statespace model specification and estimation. See the statespace documentation.
vector_ar, var : vector autoregressive process (VAR) and vector error correction models, estimation, impulse response analysis, forecast error variance decompositions, and data visualization tools. See the vector_ar documentation.
kalmanf : estimation classes for ARMA and other models with exact MLE using Kalman Filter
arma_process : properties of arma processes with given parameters, this includes tools to convert between ARMA, MA and AR representation as well as acf, pacf, spectral density, impulse response function and similar
sandbox.tsa.fftarma : similar to arma_process but working in frequency domain
tsatools : additional helper functions, to create arrays of lagged variables, construct regressors for trend, detrend and similar.
filters : helper function for filtering time series
regime_switching : Markov switching dynamic regression and autoregression models
Some additional functions that are also useful for time series analysis are in other parts of statsmodels, for example additional statistical tests.
Some related functions are also available in matplotlib, nitime, and scikits.talkbox. Those functions are designed more for the use in signal processing where longer time series are available and work more often in the frequency domain.
Descriptive Statistics and Tests¶
|
Autocovariance for 1D |
|
Autocorrelation function for 1d arrays. |
|
Partial autocorrelation estimated |
|
Partial autocorrelation estimated with non-recursive yule_walker |
|
Calculate partial autocorrelations via OLS |
|
Burg’s partial autocorrelation estimator |
|
crosscovariance for 1D |
|
cross-correlation function for 1d |
Returns the periodogram for the natural frequency of X |
|
|
Augmented Dickey-Fuller unit root test |
|
Kwiatkowski-Phillips-Schmidt-Shin test for stationarity. |
|
Test for no-cointegration of a univariate equation |
|
Calculate the BDS test statistic for independence of a time series |
|
Return’s Ljung-Box Q Statistic |
|
four tests for granger non causality of 2 timeseries |
|
Levinson-Durbin recursion for autoregressive processes |
|
Innovations algorithm to convert autocovariances to MA parameters |
|
Filter observations using the innovations algorithm |
|
Levinson-Durbin algorithm that returns the acf and ar coefficients |
|
Returns information criteria for many ARMA models |
|
Perform automatic seaonal ARIMA order identification using x12/x13 ARIMA. |
|
Perform x13-arima analysis for monthly or quarterly data. |
Estimation¶
The following are the main estimation classes, which can be accessed through statsmodels.tsa.api and their result classes
Univariate Autogressive Processes (AR)¶
|
Autoregressive AR(p) model |
|
Class to hold results from fitting an AR model. |
Autogressive Moving-Average Processes (ARMA) and Kalman Filter¶
The basic ARIMA model and results classes that should be the starting point for for most users are:
|
Autoregressive Moving Average ARMA(p,q) Model |
|
Class to hold results from fitting an ARMA model. |
|
Autoregressive Integrated Moving Average ARIMA(p,d,q) Model |
|
Methods |
Some advanced underlying low-level classes and functions that can be used to compute the log-likelihood function for ARMA-type models include (note that these are rarely needed by end-users):
Kalman Filter code intended for use with the ARMA model. |
|
Compute innovations using a given ARMA process |
|
Compute loglikelihood of the given data assuming an ARMA process |
|
Compute loglikelihood for each observation assuming an ARMA process |
|
Compute the score (gradient of the loglikelihood function) |
|
Compute the score per observation (gradient of the loglikelihood function) |
Exponential Smoothing¶
|
Holt Winter’s Exponential Smoothing |
Simple Exponential Smoothing |
|
|
Holt’s Exponential Smoothing |
|
Holt Winter’s Exponential Smoothing Results |
ARMA Process¶
The following are tools to work with the theoretical properties of an ARMA process for given lag-polynomials.
|
Theoretical properties of an ARMA process for specified lag-polynomials |
|
Find arma approximation to ar process |
|
Get the AR representation of an ARMA process |
|
Get the MA representation of an ARMA process |
|
Theoretical autocorrelation function of an ARMA process |
|
Theoretical autocovariance function of ARMA process |
|
Generate a random sample of an ARMA process |
Get the impulse response function (MA representation) for ARMA process |
|
|
Partial autocorrelation function of an ARMA process |
|
Periodogram for ARMA process given by lag-polynomials ar and ma |
|
Deconvolves divisor out of signal, division of polynomials for n terms |
|
Expand coefficients to lag poly |
Remove zeros from lag polynomial |
|
|
AR representation of fractional integration |
|
MA representation of fractional integration |
return coefficients for seasonal difference (1-L^s) |
|
fft tools for arma processes |
Statespace Models¶
See the statespace documentation..
Vector ARs and Vector Error Correction Models¶
See the vector_ar documentation..
Regime switching models¶
First-order k-regime Markov switching regression model |
|
|
Markov switching regression model |
Time Series Filters¶
|
Baxter-King bandpass filter |
|
Hodrick-Prescott filter |
|
Christiano Fitzgerald asymmetric, random walk filter |
Linear filtering via convolution. |
|
|
Autoregressive, or recursive, filtering. |
|
use nd convolution to merge inputs, then use lfilter to produce output |
|
Convolve two N-dimensional arrays using FFT. |
|
Convolve two N-dimensional arrays using FFT. |
|
Seasonal decomposition using moving averages |
TSA Tools¶
|
Adds a trend and/or constant to an array. |
|
Detrend an array with a trend of given order along axis 0 or 1 |
|
Create 2d array of lags |
|
Generate lagmatrix for 2d array, columns arranged by variables |
VARMA Process¶
|
class to keep track of Varma polynomial format |
Interpolation¶
|
Modified Denton’s method to convert low-frequency to high-frequency data. |


Some months ago we turned our attention to the modern pig, and I am pleased to post this letter received from Outa_Spaceman in which he recalls his very own modern pig experience:
Many years ago one of my ‘in-between-jobs' was as a security guard. I had to look after a ‘pig trap’. It looked like a bungalow-sized oil refinery, all red painted pipes, valves and exciting gauges. It was positioned in a small village called Lofthouse at the top of Nidderdale.
The ‘intelligent’ pig (iPig?) had been inserted at Billingham and trundled down the pipeline inspecting and cleaning as it went. Boffins monitored its progress, via in-built T.V. cameras, in a portakabin alongside the pig trap. My job was to make sure no yokels attempted to interfere with the installation, as the pipeline carried a highly explosive pressurised gas (methane I think).
At the end of my night-long vigil I decided to stay and wait for the pig to arrive and watch the trap being ‘blown’.  It created the biggest sheet of flame I've ever seen and, even though I was a good way off, singed my eyebrows. After tests and recalibration the pig was reinserted and sent off toward Stanlow.
For me the most amazing fact is that there's a pipeline that connects one side of the country to the other via the Pennines.


An iRODS use case was presented where geographically disparate participants wanted to belong to the same iRODS Zone for ease of search and discovery, but also wanted all nodes to be provider nodes with their own catalog. There was a desire to be able to decentralize the normally singular ICAT catalog database in a way that all participants could make use of whichever ICAT provider was closest to them without having to federate iRODS zones if new nodes came online.
Initial requirements:
The proof of concept solution being presented here uses MariaDB configured as a Galera cluster to decentralize the ICAT catalog database across all participating iRODS provider nodes.
WAN replication will use ample latency values commensurate for an international WAN deployment. Example latency values would be something like:
A proof of concept testbed comprised of three iRODS provider nodes has been stood up to form a single zone named tempZone within a MariaDB Galera cluster. Each node within the testbed is a single CentOS 7 VM, and can be configured to use differing latency values via NetEm to simulate the kind of network traffic that would be experienced in a WAN configuration.
Docker Usage and configuration
Testbed deployment Proof of concept and metrics
What is iRODS: The Integrated Rule-Oriented Data System (iRODS) is open source data management software used by research organizations and government agencies worldwide.
iRODS is released as a production-level distribution aimed at deployment in mission critical environments. It virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored.
The development infrastructure supports exhaustive testing on supported platforms.
The plugin architecture supports microservices, storage systems, authentication, networking, databases, rule engines, and an extensible API.
Learn more at: irods.org
Why MariaDB: MariaDB is an open source leader, collaborating with innovators like Alibaba, Google and Facebook to develop and incorporate new features and improvements for the whole community, while at the same time helping customers like DBS Bank standardize on MariaDB solutions – ensuring enterprise and architecture requirements are met, now and in the future.
Learn more at: mariadb.com
What is MariaDB Galera cluster?
About
MariaDB Galera Cluster is a synchronous multi-master cluster for MariaDB. It is available on Linux only, and only supports the XtraDB/InnoDB storage engines (although there is experimental support for MyISAM - see the wsrep_replicate_myisam system variable).
Starting with MariaDB 10.1, the wsrep API for Galera Cluster is included by default. This is available as a separate download for MariaDB 10.0 and MariaDB 5.5.
Features
Benefits
The above features yield several benefits for a DBMS clustering solution, including:
The Getting Started with MariaDB Galera Cluster page has instructions on how to get up and running with MariaDB Galera Cluster.
Learn more at: what-is-mariadb-galera-cluster


Last updated: 2018-01-08
Code version: ca6e6f8
Tutor: Cas Kruitwagen
First decide goal:
\[y_{ij} = \beta_0+\beta_{1}x_{i1}+\beta_{2}x_{i2}+...+\epsilon_i = \beta_0 + \sum_{j}{\beta_{j}x_j} + \epsilon_i\]
With \(\epsilon_i \sim N(0,\sigma^2)\)
Assumptions
Problems arise when the predictors are correlated.
Intrepretation of \(/beta_i\). Given all \(x_j, j \neq i\) are constant, a unit increase of \(x_i\) will lead to an increase in \(y_i\) with \(\beta_i\).
Calculated by applying least squares
\[min\ \sum_i{(y_i - \beta_0 + \sum_{j}{\beta_{j}x_j} + \epsilon_i)^2}\]
For 2 predictors, the residual variance has \(n-3\) degrees of freedom. (3 parameters fitted). This can be put in an ANOVA table.
Adjusted \(R^2\) is explained variation in population. \(R^2\) is variance explained in sample.
\[R_{adj}^2 = 1 - (1-R^2)\frac{n-1}{n-k-1}\]
In the case of \(k/n\) approaches 1, \(R_{adj}^2\) will be very low.
fit0 <- lm(y~1)
fit1 <- lm(y~x1)
fit2 <- lm(y~x2)
fit12 <- lm(y~x1+x2)
summary(fit0)$adj.r.squared
[1] 0
summary(fit1)$adj.r.squared
[1] 0.527822
summary(fit2)$adj.r.squared
[1] 0.01295315
summary(fit12)$adj.r.squared
[1] 0.9643388
anova(fit0, fit1, fit2, fit12)
Analysis of Variance Table
Model 1: y ~ 1
Model 2: y ~ x1
Model 3: y ~ x2
Model 4: y ~ x1 + x2
Res.Df RSS Df Sum of Sq F Pr(>F)
1 19 1.59622
2 18 0.71403 1 0.88219 294.46 3.598e-12 ***
3 18 1.49262 0 -0.77859
4 17 0.05093 1 1.44168 481.21 6.575e-14 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(fit1, fit12)
Analysis of Variance Table
Model 1: y ~ x1
Model 2: y ~ x1 + x2
Res.Df RSS Df Sum of Sq F Pr(>F)
1 18 0.71403
2 17 0.05093 1 0.6631 221.33 3.527e-11 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(fit0, fit2)
Analysis of Variance Table
Model 1: y ~ 1
Model 2: y ~ x2
Res.Df RSS Df Sum of Sq F Pr(>F)
1 19 1.5962
2 18 1.4926 1 0.1036 1.2493 0.2784
Formal testing: \(H_0:\ \beta_1=0|\beta_2 \neq 0\), \(H_1:\ \beta_1 \neq 0|\beta_2 \neq 0\)
Test by using t-test for coefficients. Degrees of freedom are lowered by all necessary estimated parameters.
‘Expensive models’ is using op degrees of freedom.
ANOVA table tests whether the effects of all explenatory variables in a model are zero or not.
Acaida information criteria for checking significant difference between non-nested models
With \(k\) explenatory variables, there are \(2^k\) possible models.
LASSO, cross-validation, and shrinkage by bootstrap
Noise and predictor variables, without correlation in between predictors
set.seed(2)
n_patients = 1000
n_noise_variables = 10
n_explenatory_variables = 10
real_coefficients = runif(n_explenatory_variables, min = -1, max = 1)
s_response = 0.2
predictors <- matrix(runif(n_patients * n_explenatory_variables), nrow = n_patients)
noise <- matrix(runif(n_patients * n_noise_variables), nrow = n_patients)
# response is dot-product of each row with the coefficients
# can be calculated with matrix multiplication
response = rowSums(predictors %*% real_coefficients) + rnorm(n_patients, sd = s_response)
myData <- data.frame(
y = response, cbind(predictors, noise)
)
fit_all <- lm(y~., data = myData)
summary(fit_all)
Call:
lm(formula = y ~ ., data = myData)
Residuals:
Min 1Q Median 3Q Max
-0.78260 -0.13659 -0.00092 0.14053 0.58946
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.0262295 0.0509943 0.514 0.60712
X1 -0.6446580 0.0221505 -29.103 < 2e-16 ***
X2 0.4238112 0.0223328 18.977 < 2e-16 ***
X3 0.1510867 0.0228293 6.618 5.98e-11 ***
X4 -0.6470950 0.0228776 -28.285 < 2e-16 ***
X5 0.8623342 0.0224493 38.413 < 2e-16 ***
X6 0.8880544 0.0227584 39.021 < 2e-16 ***
X7 -0.7678504 0.0226384 -33.918 < 2e-16 ***
X8 0.6791997 0.0228070 29.780 < 2e-16 ***
X9 -0.0505276 0.0228661 -2.210 0.02736 *
X10 0.0972956 0.0228929 4.250 2.34e-05 ***
X11 0.0098150 0.0228936 0.429 0.66822
X12 -0.0217505 0.0228562 -0.952 0.34152
X13 -0.0104170 0.0221047 -0.471 0.63756
X14 0.0205645 0.0223007 0.922 0.35668
X15 -0.0660169 0.0228954 -2.883 0.00402 **
X16 0.0001305 0.0226399 0.006 0.99540
X17 -0.0242034 0.0225604 -1.073 0.28361
X18 0.0126597 0.0223977 0.565 0.57205
X19 0.0212047 0.0221814 0.956 0.33932
X20 0.0169994 0.0229204 0.742 0.45846
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.2062 on 979 degrees of freedom
Multiple R-squared: 0.8812, Adjusted R-squared: 0.8788
F-statistic: 363 on 20 and 979 DF, p-value: < 2.2e-16
US \(SO_2\) pollution.
load(amstR::fromParentDir("data/so2.RData"))
hist(so2$SO2)
Skewed predictors is not necessarily a problem.
require(dplyr); require(ggplot2)
so2 %>%
select(-c(SO2, city, region)) %>%
data.table::melt() %>%
ggplot(aes(x = value)) +
geom_histogram() +
facet_wrap(~variable, scales = "free")
pairs(so2)
Full model (without city due to too many levels)
fit <- lm(SO2~., data = (so2 %>% dplyr::select(-city)))
summary(fit)
Call:
lm(formula = SO2 ~ ., data = (so2 %>% dplyr::select(-city)))
Residuals:
Min 1Q Median 3Q Max
-31.138 -8.660 -0.319 5.948 39.116
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 95.13637 43.09542 2.208 0.034563 *
temp -0.91163 0.57062 -1.598 0.119955
factories 0.06244 0.01430 4.368 0.000123 ***
population -0.03533 0.01370 -2.579 0.014723 *
wind -2.65271 1.79926 -1.474 0.150162
rainfall 0.24013 0.39457 0.609 0.547102
daysrain -0.04838 0.14669 -0.330 0.743667
regionNortheast 14.13675 7.53188 1.877 0.069672 .
regionMidwest/West -5.25371 7.83874 -0.670 0.507524
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 13.18 on 32 degrees of freedom
Multiple R-squared: 0.7478, Adjusted R-squared: 0.6848
F-statistic: 11.86 on 8 and 32 DF, p-value: 1.152e-07
Stepwise selection
library(MASS)
fit_step <- stepAIC(fit, direction = "both")
Start: AIC=219.29
SO2 ~ temp + factories + population + wind + rainfall + daysrain +
region
Df Sum of Sq RSS AIC
- daysrain 1 18.9 5576.8 217.43
- rainfall 1 64.3 5622.2 217.76
<none> 5557.9 219.29
- wind 1 377.5 5935.4 219.98
- temp 1 443.3 6001.2 220.43
- population 1 1154.9 6712.8 225.03
- region 2 1725.4 7283.3 226.37
- factories 1 3313.9 8871.8 236.46
Step: AIC=217.42
SO2 ~ temp + factories + population + wind + rainfall + region
Df Sum of Sq RSS AIC
- rainfall 1 49.2 5626.0 215.78
<none> 5576.8 217.43
- wind 1 358.9 5935.7 217.98
+ daysrain 1 18.9 5557.9 219.29
- temp 1 662.8 6239.6 220.03
- population 1 1160.0 6736.8 223.17
- region 2 1728.6 7305.4 224.50
- factories 1 3316.6 8893.4 234.56
Step: AIC=215.78
SO2 ~ temp + factories + population + wind + region
Df Sum of Sq RSS AIC
<none> 5626.0 215.78
- wind 1 309.8 5935.8 215.98
+ rainfall 1 49.2 5576.8 217.43
+ daysrain 1 3.8 5622.2 217.76
- temp 1 614.6 6240.6 218.04
- population 1 1247.5 6873.5 222.00
- region 2 2464.8 8090.8 226.68
- factories 1 3589.2 9215.2 234.02
summary(fit_step)
Call:
lm(formula = SO2 ~ temp + factories + population + wind + region,
data = (so2 %>% dplyr::select(-city)))
Residuals:
Min 1Q Median 3Q Max
-33.912 -7.646 0.102 5.037 39.960
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 84.66810 28.26707 2.995 0.00509 **
temp -0.71117 0.36900 -1.927 0.06234 .
factories 0.06387 0.01371 4.657 4.76e-05 ***
population -0.03638 0.01325 -2.746 0.00958 **
wind -2.17945 1.59285 -1.368 0.18020
regionNortheast 12.63719 6.92759 1.824 0.07692 .
regionMidwest/West -8.35751 5.55350 -1.505 0.14158
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 12.86 on 34 degrees of freedom
Multiple R-squared: 0.7447, Adjusted R-squared: 0.6997
F-statistic: 16.53 on 6 and 34 DF, p-value: 8.184e-09
anova(fit_step)
Analysis of Variance Table
Response: SO2
Df Sum Sq Mean Sq F value Pr(>F)
temp 1 4143.3 4143.3 25.0397 1.698e-05 ***
factories 1 7230.8 7230.8 43.6983 1.403e-07 ***
population 1 2125.2 2125.2 12.8431 0.001048 **
wind 1 447.9 447.9 2.7068 0.109136
region 2 2464.8 1232.4 7.4478 0.002078 **
Residuals 34 5626.0 165.5
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(fit, fit_step)
Analysis of Variance Table
Model 1: SO2 ~ temp + factories + population + wind + rainfall + daysrain +
region
Model 2: SO2 ~ temp + factories + population + wind + region
Res.Df RSS Df Sum of Sq F Pr(>F)
1 32 5557.9
2 34 5626.0 -2 -68.08 0.196 0.823
Stepwise:
SPSS: p-value for forward selection is 0.05, for backward selection: 0.1
fit_leap <- leaps::regsubsets(SO2~., data = (so2 %>% dplyr::select(-city)))
summary(fit_leap)
Subset selection object
Call: (function (rmd, seed, ...)
{
if (!(is.character(rmd) && length(rmd) == 1))
stop("rmd must be a one element character vector")
if (!(is.numeric(seed) && length(seed) == 1))
stop("seed must be a one element numeric vector")
if (!file.exists(rmd))
stop("rmd must exist")
set.seed(seed)
rmarkdown::render_site(rmd, ...)
})("c9_multiple_regression.Rmd", 12345)
8 Variables (and intercept)
Forced in Forced out
temp FALSE FALSE
factories FALSE FALSE
population FALSE FALSE
wind FALSE FALSE
rainfall FALSE FALSE
daysrain FALSE FALSE
regionNortheast FALSE FALSE
regionMidwest/West FALSE FALSE
1 subsets of each size up to 8
Selection Algorithm: exhaustive
temp factories population wind rainfall daysrain regionNortheast
1 ( 1 ) " " "*" " " " " " " " " " "
2 ( 1 ) " " "*" " " " " " " " " "*"
3 ( 1 ) " " "*" "*" " " " " " " "*"
4 ( 1 ) " " "*" "*" "*" " " " " "*"
5 ( 1 ) "*" "*" "*" " " " " " " "*"
6 ( 1 ) "*" "*" "*" "*" " " " " "*"
7 ( 1 ) "*" "*" "*" "*" "*" " " "*"
8 ( 1 ) "*" "*" "*" "*" "*" "*" "*"
regionMidwest/West
1 ( 1 ) " "
2 ( 1 ) " "
3 ( 1 ) " "
4 ( 1 ) " "
5 ( 1 ) "*"
6 ( 1 ) "*"
7 ( 1 ) "*"
8 ( 1 ) "*"
plot(fit_leap)
When \(x_1\) and \(x_2\) are correlated, the \(\beta_1\) may increase by adding \(x_2\) to the models, and \(SE(\beta_1)\) may increase too. It’s T-statistic will remain approximately the same.
Assumptions
NB: no conditions for the distribution of the explenatory assumptions
lm(SO2~factories, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ factories, data = so2)
Residuals:
Min 1Q Median 3Q Max
-26.976 -12.968 -3.495 6.710 67.177
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 17.610574 3.691587 4.770 2.58e-05 ***
factories 0.026859 0.005099 5.268 5.36e-06 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 18.17 on 39 degrees of freedom
Multiple R-squared: 0.4157, Adjusted R-squared: 0.4007
F-statistic: 27.75 on 1 and 39 DF, p-value: 5.363e-06
lm(SO2~population, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ population, data = so2)
Residuals:
Min 1Q Median 3Q Max
-32.545 -14.456 -4.019 11.019 72.549
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 17.868316 4.713844 3.791 0.000509 ***
population 0.020014 0.005644 3.546 0.001035 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 20.67 on 39 degrees of freedom
Multiple R-squared: 0.2438, Adjusted R-squared: 0.2244
F-statistic: 12.57 on 1 and 39 DF, p-value: 0.001035
lm(SO2~factories+population, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ factories + population, data = so2)
Residuals:
Min 1Q Median 3Q Max
-22.389 -12.831 -1.277 7.609 49.533
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 26.32508 3.84044 6.855 3.87e-08 ***
factories 0.08243 0.01470 5.609 1.96e-06 ***
population -0.05661 0.01430 -3.959 0.000319 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 15.49 on 38 degrees of freedom
Multiple R-squared: 0.5863, Adjusted R-squared: 0.5645
F-statistic: 26.93 on 2 and 38 DF, p-value: 5.207e-08
Added effect of another predictor is limited, because it information was already used in the earlier included predictors.
Perfectly independent explenatory variables: adding the second does not alter the first. Perfectly correlated explenatory variables: there are multiple solutions.
set.seed(2)
n = 10
x1 <- runif(n)
x2 <- 2*x1
y <- 3*x1 + rnorm(n, sd = .1)
lm(y~x1+x2) %>% summary()
Call:
lm(formula = y ~ x1 + x2)
Residuals:
Min 1Q Median 3Q Max
-0.155531 -0.059312 -0.001356 0.046648 0.136305
Coefficients: (1 not defined because of singularities)
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.10664 0.06284 1.697 0.128
x1 2.88231 0.10065 28.636 2.39e-09 ***
x2 NA NA NA NA
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.09426 on 8 degrees of freedom
Multiple R-squared: 0.9903, Adjusted R-squared: 0.9891
F-statistic: 820 on 1 and 8 DF, p-value: 2.392e-09
With high correlation:
Indicators:
Tolerance is \(1-R^2\) in a model with one of the explanatory variables is taken as the dependent variable and (some of) the other explanatory variables are taken as the independents.
Rule of thumb: tolerance of 0.4 is acceptable (0.1 or 0.2 is sometimes stated)
Variance inflation factor (VIF): \(VIF = \frac{1}{tolerance}\)
The variance of the estimates of the coefficients is inflated with the VIF.
Pick the more logical factor Mean-centering may help (correlation between x1 and x2 may be more than between x1-(mean(x1) and x2)).
Create dummy variables
boxplot(SO2~region, data = so2)
lm(SO2~region, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ region, data = so2)
Residuals:
Min 1Q Median 3Q Max
-39.25 -13.00 -4.00 8.00 83.00
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 21.917 6.245 3.509 0.00117 **
regionNortheast 28.333 9.874 2.869 0.00668 **
regionMidwest/West 5.083 7.829 0.649 0.52003
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 21.63 on 38 degrees of freedom
Multiple R-squared: 0.193, Adjusted R-squared: 0.1505
F-statistic: 4.544 on 2 and 38 DF, p-value: 0.017
This makes sure that the degrees of freedom still equals that of an ANOVA.
So 1 variable in linear regression takes up 1 degree of freedom. 1 categorical variable in ANOVA with j levels takes up j-1 degrees of freedom. When creating dummy variables, j-1 dummy variables will be created.
The p-values of the dummy categories are usually not corrected for multiple testing, while in ANOVA they would be, as part of the post-hoc testing.
NB the dummy variables need to be entered ‘en block’. This messes up stepwise selection, because p-values are calculated for each dummy variable separately.
Large to do exact sample size calculation, it takes many assumptions.
Rule of thumb: 10-15 cases for each parameter (except the constant, but including dummy variables, interactions etc).
For precision: only the final model matters For over-fitting: all considered models matter.
In R: do not add them to the scope
of drop1
, add1
or step
.
Default in R and SPSS is doing a complete cases on all potentially included variables.
Both R and SPSS have functions for “missing values analysis”. Detection and detection of patterns.
Problems with complete cases: * selection bias (systematic missings) * loss of power
Solutions
5-10% ** remove variable (sub-optimal) ** multiple imputation
Practical: take the product of 2 variables as a new variable
lm(SO2 ~ factories*population, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ factories * population, data = so2)
Residuals:
Min 1Q Median 3Q Max
-21.666 -11.919 -1.223 7.661 49.634
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.735e+01 5.204e+00 5.256 6.38e-06 ***
factories 7.909e-02 1.866e-02 4.238 0.000144 ***
population -5.692e-02 1.451e-02 -3.922 0.000366 ***
factories:population 1.215e-06 4.088e-06 0.297 0.767959
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 15.68 on 37 degrees of freedom
Multiple R-squared: 0.5873, Adjusted R-squared: 0.5538
F-statistic: 17.55 on 3 and 37 DF, p-value: 2.991e-07
lm(SO2 ~ factories+population, data = so2) %>% summary()
Call:
lm(formula = SO2 ~ factories + population, data = so2)
Residuals:
Min 1Q Median 3Q Max
-22.389 -12.831 -1.277 7.609 49.533
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 26.32508 3.84044 6.855 3.87e-08 ***
factories 0.08243 0.01470 5.609 1.96e-06 ***
population -0.05661 0.01430 -3.959 0.000319 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 15.49 on 38 degrees of freedom
Multiple R-squared: 0.5863, Adjusted R-squared: 0.5645
F-statistic: 26.93 on 2 and 38 DF, p-value: 5.207e-08
\[y_i = \beta_0 + \beta_{1}x_1 + \sum_{j}{\beta_{0j}x_{dummy,j}} + \sum_{j}{\beta_{1j}x_1}\]
Where \(x_{dummy,j} \in (0,1)\).
df from anova(fit12), compare with ANOVA result from slides
sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: macOS Sierra 10.12.6
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] MASS_7.3-47 ggplot2_2.2.1 dplyr_0.7.4
loaded via a namespace (and not attached):
[1] Rcpp_0.12.14 survcomp_1.22.0 plyr_1.8.4
[4] RColorBrewer_1.1-2 git2r_0.20.0 bindr_0.1
[7] tools_3.3.2 digest_0.6.13 gtable_0.2.0
[10] evaluate_0.10.1 tibble_1.3.4 lattice_0.20-35
[13] pkgconfig_2.0.1 rlang_0.1.6 Matrix_1.2-10
[16] yaml_2.1.16 prodlim_1.6.1 bindrcpp_0.2
[19] bootstrap_2017.2 amstR_0.1.3 stringr_1.2.0
[22] knitr_1.18 SuppDists_1.1-9.4 rprojroot_1.2
[25] grid_3.3.2 glue_1.2.0 data.table_1.10.4
[28] R6_2.2.2 survival_2.41-3 rmarkdown_1.8
[31] lava_1.5 rmeta_2.16 reshape2_1.4.2
[34] magrittr_1.5 leaps_3.0 scales_0.4.1
[37] backports_1.1.0 htmltools_0.3.6 survivalROC_1.0.3
[40] splines_3.3.2 assertthat_0.2.0 colorspace_1.3-2
[43] labeling_0.3 KernSmooth_2.23-15 stringi_1.1.6
[46] lazyeval_0.2.0 munsell_0.4.3
This R Markdown site was created with workflowr


Plotting routines¶
This program will plot the final temperature map using the temperatures calculated from sherpa and the binnings from WVT
-
class
TemperatureMapPipeline.Plots.
Bin
(number)¶ Class which contains bin information: bin number, pixels in bin, temperature, reduced chi statistic, and abundance.
-
TemperatureMapPipeline.Plots.
plot_Ab
(bin_file, temp_file, file_dir, filename, color_map, stn, wcs_image)¶ Plot the Abundance from Fits and create png and fits image with the following ending: file_dir+’/’+filename+”_”+str(stn)+”_Met.png”
- Parameters
bin_file (str) – WVT bin data file
temp_file (str) – Temperature file containing fit information
file_dir (str) – Full path to location of new image (and fits)
filename (str) – Name of new output file
color_map (str) – Matplotlib Colormap (default = Viridis)
stn (int) – Target Signal-to-Noise of WVT bins
wcs_image (str) – Path to initial image for WCS information (not used for anything else)
- Returns
PNG and FITS image of fitted abundances
-
TemperatureMapPipeline.Plots.
plot_Bins
(bin_file, temp_file, file_dir, filename, color_map, stn, wcs_image)¶ Plot the Temperatures from Fits and create png and fits image with the following ending: file_dir+’/’+filename+”_”+str(stn)+”_Met.png”
- Parameters
bin_file (str) – WVT bin data file
temp_file (str) – Temperature file containing fit information
file_dir (str) – Full path to location of new image (and fits)
filename (str) – Name of new output file
color_map (str) – Matplotlib Colormap (default = Viridis)
stn (int) – Target Signal-to-Noise of WVT bins
wcs_image (str) – Path to initial image for WCS information (not used for anything else)
- Returns
PNG and FITS image of fitted temperatures


"use strict";
var Client = function() {
this.argv = require('minimist')(process.argv.slice(2));
this.config = new require("user-appdata")({appname : "deep-data"});
this.log = new require("./log")(this);
return this;
};
"use strict";
var Client = function() {
this.argv = require('minimist')(process.argv.slice(2));
this.config = new require("user-appdata")({appname : "deep-data"});
this.log = new require("./log")(this);
return this;
};
This is a normal comment, that will become part of the annotations after running through the Docco tool. Use this space to describe the function or other code just below this comment. For example:
The DoSomething
method does something! It doesn’t take any
parameters… it just does something.
Client.prototype.dbconnection2 = function() {
console.log(this.argv, this.config.dataFolder);
};
This is a normal comment, that will become part of the annotations after running through the Docco tool2. Use this space to describe the function or other code just below this comment. For example:
The DoSomething
method does something! It doesn’t take any
parameters… it just does something.
Client.prototype.dbconnection = function() {
console.log(this.argv, this.config.dataFolder);
};
Client.prototype.execute = function() {
if (this[this.argv._[0]]){
this[this.argv._[0]]();
} else {
this.log.error("Command " + this.argv._[0] + " not found");
}
};
module.exports = Client;


WHO?
WHAT?
WHERE?
WHEN?
HOW?
Who needs labels? I am what I am. I am a creative, interested in all things beautiful.
Logos
Websites
Code Examples
Tutorials
painting
sculpture
photography
film
HELLO WORLD


[name]
Projects points between spaces.
Constructor
[name]()
Methods
.projectVector( [page:Vector3 vector], [page:Camera camera] ) [page:Vector3]
.unprojectVector( [page:Vector3 vector], [page:Camera camera] ) [page:Vector3]
.pickingRay( [page:Vector3 vector], [page:Camera camera] ) [page:Ray]
Translates a 2D point from NDC to a [page:Ray] that can be used for picking.
.projectGraph( [page:Object3D root], [page:Boolean sort] ) [page:Object]
.projectScene( [page:Scene scene], [page:Camera camera], [page:Boolean sort] ) [page:Object]
Source
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


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%inherit file="base.html"/> % if not client:
| ZeroMQ endpoint used to connect clients like circusctl or circushttpd | ${goptions['endpoint']} |
| ZeroMQ endpoint used for pub/sub | ${goptions['pubsub_endpoint']} |
| If True, Circus detects flapping processes. | ${goptions['check_flapping']} |
| Delay in seconds for the ZMQ polling. | ${goptions['check_delay']} |
| ZeroMQ endpoint used to connect clients like circusctl or circushttpd | ${goptions['endpoint']} |
| ZeroMQ endpoint used for pub/sub | ${goptions['pubsub_endpoint']} |
| If True, Circus detects flapping processes. | ${goptions['check_flapping']} |
| Delay in seconds for the ZMQ polling. | ${goptions['check_delay']} |


A simple tool to display, add and remove disruptions on the 4 metro lines in Toronto operated by the TCC. In the app state an array of disruptions is maintained. Each disruption has the following format
disruption: {
line: 1,
branch: 0,
notes: 'Closing all stretches of track',
stops:[6, 7, 8, 9]
}


We are currently {{ vm.status }}.
Our hours of operation are:
| Sunday | 12:00 pm - 6:00 pm |
| Monday | 10:00 am - 5:00 pm |
| Tuesday | 10:00 am - 5:00 pm |
| Wednesday | 10:00 am - 5:00 pm |
| Thursday | 10:00 am - 5:00 pm |
| Friday | 12:00 pm - 5:00 pm |
| Saturday | 10:00 am - 6:00 pm |


Reports calls to Thread.setPriority().
Modifying priorities of threads is an inherently non-portable operation, as no guarantees
are given in the Java specification of how priorities are used in scheduling threads, or even
whether they are used at all.


{% block sidebar_previous_posts %}
Was hoping to put a index of dates here
{% endblock %}
Support Styleshout
If you are interested in supporting the work of Styleshout and would like to contribute, you are
welcome to make a small donation through the
donate link on the companies website - it will
be a great help and will surely be appreciated.


| Top |
GFileDescriptorBased is implemented by GUnixInputStream and GUnixOutputStream.
GFileDescriptorBased is implemented by streams (implementations of GInputStream or GOutputStream) that are based on file descriptors.
Note that <gio/gfiledescriptorbased.h>
belongs to the UNIX-specific
GIO interfaces, thus you have to use the gio-unix-2.0.pc
pkg-config
file when using it.
int
g_file_descriptor_based_get_fd (GFileDescriptorBased *fd_based
);
Gets the underlying file descriptor.
Since 2.24


Starting with version 2.4 PyObjC provides a more efficient, lazy loading metadata system. This can greatly reduce the memory use and startup time for PyObjC based applications while still providing full access to Cocoa APIs.
A framework wrapper with the new metadata system is always a python package. The package contains an “__init__.py” file that creates the lazy loader, a “_metadata.py” file with the compiled metadata and optionally other modules and extensions.
The general structure of the “__init__.py” file is:
import sys, objc
import Foundation
from . import _metadata
sys.modules['FrameworkName'] = objc.ObjCLazyModule('FrameworkName',
"com.apple.FrameworkName',
objc.pathForFramework("/System/Library/Frameworks/FrameworkName.framework"),
_metadata.__dict__, None, {
'__doc__': __doc__,
'objc': objc,
'__path__': __path__,
}, (Foundation,))
The framework name, identifier and path should be replaced by the correct values for the wrapped framework. The import of “Foundation” can be replaced by imports of other framework this framework relies on (also add those to the last argument of objc.ObjCLazyModule).
The exact contents of the “_metadata” module will be described later.
The “objective-metadata” project contains a tool for collecting information about frameworks and compiling that information and manual additions into a “_metadata” module.
That project currently is not a stable as I’d like, this documentation will be updated with more information when that changes.
A subclass of the built-in module type that adds lazy-loading of values defined in PyObjC metadata.
| Parameters: |
|
|---|
Note
This is the primary entry point for the framework wrappers shipped with PyObjC.


|
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||
|
|
Δf {{getDeltaFrequency()}} kHz | |
| RFBW kHz | FM dev kHz | BT |
|
Mode
|
Gain dB | |
|
|
||
|
|
Delay s |
Number
|
| Data | ||
|
Baud
|
Symb span | |
| Ramp up | Ramp down | Ramp range dB |
|
|
|
|
| MMSI |
Status
|
Type
|
| Lat | Lon | |
| Course ° | Speed kt | Heading ° |
|
|
Addr | Port |
|
|
Device | Channel |
| Addr | Port | |


{% extends "base.html" %} {% block title %}
Medieval catalogues > REGISTRUM ANGLIE > Union catalogue by author and title, early 14th cent.
{% endif %}32 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


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