Dryas experiments
In a second experiment, we tested a reduced sample of Dryas iulia, a closely related butterfly, to test if the ability to learn associations was limited to Heliconius. 13 out of 19 D. iulia made both choices in both time periods during training, the remaining 6 were removed from further analyses. An additional individual was removed after making no feeding attempts in the final test. One cage had purple rewarded in the AM and yellow rewarded in the PM with an unreversed final test order (group 1), while the second cage had yellow rewarded in the AM and purple rewarded in the PM with a reversed final test order (group 2). In this sample only Dryas from group 2 met the training criterion (n = 6). However, since the order of the final test has no bearing on how an individual behaves during the training trials, and test order has no effect in H. hecale, we assumed this is unlikely to be problematic.
Dryas all participating individuals
Across analyses on Dryas learning performance we again asked whether the time of day influenced:
In subsections titled Initial preference - shifts in proportional preference for the colour rewarding in the morning when naïve, using a binomial GLMM with response variable “morning reward colour choices/afternoon reward colour choices” and fixed factor “time of day” (morning or afternoon);
In subsections titled Trained preference - shifts in proportional colour preference when trained, using the same specifications.
Identity was included as a random effect throughout.
First we subset our data to remove any individuals who did not make both colour choices in either morning or afternoon during training.
= data %>% group_by(id) %>% filter(all(n.correct.training > 0 & n.incorrect.training > 0)) data2
Furthermore we remove individuals who did not respond at all during a session in final test.
= data2 %>% group_by(id) %>% filter(all(n.morning.colour.test > 0 | n.afternoon.colour.test > 0)) data3
Initial preference
Model
We first ask whether there is there a shift in preference for colours based on the time of day when individuals are naive.
=
naive.model glmer(cbind(n.morning.colour.initial, n.afternoon.colour.initial) ~
+ (1 | cage/id),
time.of.day data= data3, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 0.511 | 0.696 | 0.734 | 0.463 |
| time.of.day2afternoon | 0.367 | 0.233 | 1.574 | 0.116 |
No, p-value = 0.11 for time of day effect
Model Residuals
Trained preference
Model
In this model we ask whether there is a shift in colour preference based on time of day for all butterflies which participated in the experiment.
=
trained.model glmer(cbind(n.morning.colour.test, n.afternoon.colour.test) ~
+ (1 | id),
time.of.day data= data3, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 0.383 | 0.293 | 1.308 | 0.191 |
| time.of.day2afternoon | 0.001 | 0.102 | 0.012 | 0.991 |
No, p = 0.99 for time of day effect
Model Residuals
Dryas high and low performers
Remove individuals who did not achieve greater than 50% correct responses in last 2 days of training
= data3 %>% group_by(id) %>% filter(all(prop.correct.training.last.2 > 0.5)) data4
Initial preference
High Performers
Model
Do individuals who perform well in last 2 days of training shift preference initially
=
naive.model.high.performers glmer(cbind(n.morning.colour.initial, n.afternoon.colour.initial) ~
+ (1 |id),
time.of.day data= data4, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | -0.546 | 0.466 | -1.172 | 0.241 |
| time.of.day2afternoon | 0.536 | 0.321 | 1.670 | 0.095 |
No, p = 0.09
Model Residuals
# pull out individuals below criterion
= data3 %>% group_by(id) %>% filter(any(prop.correct.training.last.2 < 0.51)) data5
Model
In this model we ask whether lower performing individuals shift their colour preference based on the time of day prior to training.
=
naive.model.low.performers glmer(cbind(n.morning.colour.initial, n.afternoon.colour.initial) ~
+ (1 | id),
time.of.day data =data5, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 1.333 | 0.496 | 2.687 | 0.007 |
| time.of.day2afternoon | 0.148 | 0.339 | 0.437 | 0.662 |
No, p = 0.66
Model Residuals
Trained preference
High Performers
Model
In this model we ask whether higher performing individuals shift their colour preference based on the time of day after training.
=
trained.model.high.performers glmer(cbind(n.morning.colour.test, n.afternoon.colour.test) ~
+ (1 | id),
time.of.day data= data4, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 1.435 | 0.398 | 3.604 | < .001 |
| time.of.day2afternoon | -1.819 | 0.195 | -9.334 | < .001 |
We find a significant effect of time of day (p < 0.001). In high performing D. iulia, the preference for the colour that is rewarding in the morning decreased by 40%.
Model Residuals
There’s a slight deviation due to the outlier which increases the variance in the trained afternoon session as seen in Figure 4
Model
In this model we ask whether lower performers shift their colour preference based on the time of day.
=
trained.model.low.performers glmer(cbind(n.morning.colour.test, n.afternoon.colour.test) ~
+ (1 | id),
time.of.day data= data5, family = binomial)
Results
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | 0.063 | 0.489 | 0.129 | 0.898 |
| time.of.day2afternoon | 0.992 | 0.135 | 7.354 | < .001 |
There is a significant effect of time of day for lower performers (p < 0.001). Low performers shift their preference in the incorrect direction by about 12% (Figure 5).
Model Residuals
Dryas activity between time periods
Model
To see whether there was a difference in the total number of choices a butterfly made at a particular time period we used a Poisson generalised linear mixed effect model.
=
dryas.activity.model glmer(total.activity ~ time.of.day + (1 | cage/id),
data= data, family = poisson)
Results
D. iulia butterflies made on average 15 more choices in the afternoon than in the morning.


someone know how can I exit from Hazanchanim street???
you need turn right at the crossroads
thank
there is accros this street?
that mongodb thing looks good, huh? tiny master db, and huge document store


I am a health policy professional with a special interest in how intelligent data analysis, visualization, and prediction can improve community health interventions. I have leadership experience in journalism, nonprofits, and student organizations.
As the Community Benefit Specialist at Presence Health, a large healthcare provider based in Chicago, I quantify the benefits that our ministries deliver to our communities, from financial assistance to community health programs. I help design and evaluate programs that proactively address social determinants of health, to keep residents of our communities healthy and happy and reduce expenses, and I analyze and visualize community health data to better understand the challenges our patients face in staying healthy.
As a Master in Public Policy student at The Harris School of Public Policy Studies at the University of Chicago, I studied health policy and program evaluation, with a special focus on data analysis in public policy. Through the Graduate Program in Health Administration and Policy I worked on an interdisciplinary case study for a large health provider in Chicago. As a Research Assistant for Brett Goldstein, the former CIO of the City of Chicago, I was the product manager for Plenario and refined an algorithm for smart spatial clustering.
At The Brooklyn Quarterly, I have served as a Senior Editor since our founding in 2012, playing a role in our editorial process and managing our web presence. I also write pieces for the magazine from time to time.
As an Innovation Fellow intern at the Chicago Department of Public Health, I created an interactive visualization of social determinants in Chicago’s communities. I also helped prepare two datasets for release on Chicago’s open data portal and assisted in the reporting of results from a large telephone survey of health behaviors.
At the Chicago Policy Review, I served as the Senior Editor for Health and then as the first ever Director of Visual Media, in which capacity I created and led perhaps the first data visualization team of any student-run policy journal in the country and represented us at national conferences. I also published two articles, two interviews, and one infographic in the journal, including early coverage of the Ebola epidemic in West Africa.
As a founding executive board member of the Data in Public Policy student group, I worked to advance the culture of data science at the Harris School by leading workshops on R, SQL, and data visualization. Under my leadership, DIPP members partnered with a number of local community organizations and non-profits to help them with data analysis. My work for DIPP included creating the Harris Insider website. I also made the website for DIPP, which is why it looks so much like this one.
At Columbia University, I earned 9 credits toward a post-baccalaureate Certificate in Biotechnology, taking classes in computational genomics, applied statistical methods, and cell biology.
At First Manhattan Consulting Group (FMCG), I conducted statistical modeling and data processing on behalf of retail banking clients, using multivariable regression, customer segmentation, and sophisticated algorithms to improve the results of marketing campaigns. While there, I learned R and C# on my own initiative and used them to greatly improve FMCG’s intellectual property.
As the second-in-command at Network 20/20, a small foreign policy nonprofit in New York, I managed day-to-day business operations, organized and managed more than 20 events with high-profile speakers, and served as the primary contact for more than 500 members and donors and United Nations diplomatic staff. I also built a new database and website to improve the organization’s ability to stay in touch with its constituents.
To contact me, please use the contact information on my resume.


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Mushrooms - P. cubensis (Tasmanian strain)
Date: Mar 17, 2003
Substance: P. Cubensis Mushrooms (Tazmanian Strain)
Time: Took the shrooms at 7:45pm
Mindset: A bit nervous but excited to try mushrooms.
Setting: Camping by the lake, under the moon and stars.
Dose: 3.3g each
6.61g of P. Cubensis Mushrooms were recently grown and dried. I recently tried a small dose of less than 1g to see if I was sensitive to mushrooms but I didn’t feel much. I wanted to try a hallucinogen for the first time and this was my spring break. I needed this experience and it turned out perfect, utterly perfect.
We arrived at the campsite around noon and setup camp. Our tent was 50feet from the lake and a few feet from our campfire. The weather was going to be 70F at noon and 55-60F at night. It was also cloudy outside at noon. We collected plenty of firewood and ate lunch and dinner.
My friend, M, also took the prior batch of shrooms to see if he was sensitive to Mushrooms and he was not. We laid out the mushrooms on a dinner plate and divided the mushrooms, 3.3g each. I was quite nervous about taking the shrooms. I have always had a problem about taking the 'leap'. After 30min of preparing myself I was still too nervous. I thought the setting was horrible. The moon was coming out but it was blocked by the clouds. I thought it would be a gloomy setting as the tall pine trees looked scary. I got too nervous but the next day was supposed to rain. We planned this day for weeks and I didn’t want to ruin the trip so I told M to randomly choose a time within the next 30 minutes to take the shrooms. I thought that in this way I would feel calm before I took the shrooms and it worked.
+0:00. We ate the mushrooms with chocolate to mask the taste. I wanted to know the precise time of every moment I was feeling so I looked at my cell phone and it was 7:47pm. The taste was nasty but much better than morning glory seeds. We then started our fire and cleaned up a bit. The weather was very nice but still cloudy. We decide to sit and wait for the effects to kick in.
+0:15 Looking out at the lake I see a dark object moving by the shore. I told M and we started to freak out. It looked like the geese was saw earlier that day but it somehow looked freaky and different. By this time we definitely noticed things becoming different. A few minutes later we saw flickers of lights in our vision. We saw the same flickers but wasn’t sure if they were airplanes or not. There were about 5 flickers of light throughout the sky and I couldn’t tell if it was the shrooms or if there were really there. We start discussing about how beautiful it was outside and it was.
+0:30 The moon came from out of the clouds and casted a cool glow on the area. We decided to walk to the shore and I felt really drunk and walking was difficult. My vision was sharpened greatly. The shoreline looked so awesome as the moonlight struck the white rocks. The contrast is similar to a blacklight on a white t-shirt. It just stood out so beautifully. It was like paradise. We sat on the rocks by the shore and just looked out. The lights from the marinas and on the horizon was beautiful. So beautiful. Now the water looked like dark oil and was so calm. As the wind blew the dark water made wonderful looking ripples. They were so long and calm. It’s indescribable. We both looked toward the bridge and saw a large dark hole in the water. It looked freaky and was moving. It was awesome we shared the same hallucination. We talked effortlessly about life and everything. It’s quite hard to remember but it was awesome.
We walked back to camp and talked for a while there. I looked at the fire and the logs had faces in it like a totem pole. The faces were Aztec looking and some with wolves. We decided to walk along the road. We walked along the road and bumped into each other. There were other campers and I was thinking they must think we are really drunk. But I didn’t care at the same time. As we walked along the road cracks appeared and as we walked it made it look like cracks just spreading from our feet. This was cool and I described it as roots coming from our feet. We got kind of scared and turned back towards our camp. When we walked back we saw an object which looked like it was recently struck by lightning! It looked like a tree with glowing embers from a recent lightning strike! This was cool but when we walked closer and it was a piece of electronic equipment.
+1:30 We arrive from the walk back to our campsite and then we see the park ranger. We got paranoid and decide to get in our tent to “pretend” we are sleeping in hopes of them not disturbing us. This was an unusual feeling. I decided to listen to music. As I was listening to music in the dark tent I saw some awesome closed eye visuals. It was awesome how things morph into something else. I saw a kaleidoscope of spiders morphing into aliens with awesome color. Everything looked like fractals in my eyes. The music sounded so wonderful. I cried. It felt so wonderful and I wasn’t sure if I was really crying or hallucinating it. It was pure Euphoria. I didn’t care if it was the smoke that caused my tears but I was happy for the first time in a long time. I had no worries and was just laughing at the thought. I was having mind loops of the same thought. I continued listening to music for another hour in pure bliss and ecstasy. I was grooving with the tunes. I was melting in my sleeping bag.
My friend mentioned this wasn’t even our peak and I laughed hard from that. I was so happy I took the shrooms at that time. The setting was perfect. It was like it chosen for this occasion. I felt one with nature. Looking out through the tent I saw the moon come out and I saw rainbows coming as halos from it. The stars were multicolored and beautiful. I had a pushbutton light that was dimming but there was some ash on it. I blew it off and it disappeared and reappeared. I looked closely at the ash and the dots were vibrating with color of red, green, blue and purple pulsating with energy. I call it my magical orb of light. It was so fun to look at. I looked at my cell phone and the green indiglo light looked so trippy. Time was almost meaningless and I couldn’t calculate how many hours since we took the shrooms. Minutes seemed like hours.
+3:00 (approx) We decide to get out of the tent and go for a walk along that same road. As we walked we some other campers with a huge fire going. The looked so funny. My friend swore that they were doing some kind of tribal dance around the fire. I noticed this also. It looked really cool like an ancient tribal dance because the orange hue of the fire luminated there bodies with some eerie shadows. The tall pine trees added to this effect. I commented on how it was awesome we shared the same hallucinations and thoughts. This was so fun. The road had the same cracks as we walked and spread. The cracks seemed so giant and they trailed on for a long time. The moon and stars looked so beautiful. We walked to the shore at the end of the road and we came by this giant cliff. It looked 300feet deep. (Later we found it only about 15feet deep) Looking from the top it looked like paradise.
The lights on the horizon were emanating a rainbow. I was eating skittles and suddenly there were rainbows everywhere in the sky. The rainbows came from all the lights in the sky and were so beautiful. I threw a skittle in the air and said “taste the rainbow”. The Rainbows were probably the best hallucination I saw that night.  Visuals were dying off but then I saw a grid like appearance on the water far into the horizon. The rainbows were still there but things seemed so peaceful now. I was scared of nothing.  It was funny how this happened so ironically.
+4:00 (approx) we arrive to our campsite and talk intellectually by the dim glowing fire talking about life’s mysteries. This was an experience we would never forget we both said. We just chilled for another hour or so as the open eye visuals stopped. I could still see closed eye visuals when I listened to music. There were legs in my vision dancing and moving and grooving to the tunes. It was perfect. Everything was perfect. How everything was so perfect was awesome.
As we fell asleep I woke feeling great. I returned home and everything is beautiful and I feel happy to be alive.
I will probably never forget this experience but I decided to write this report as I may forget the details.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


SU(1) User Commands SU(1) NAME su - change user ID or become superuser SYNOPSIS su [options] [username] DESCRIPTION The su command is used to become another user during a login session. Invoked without a username, su defaults to becoming the superuser. The optional argument - may be used to provide an environment similar to what the user would expect had the user logged in directly. Additional arguments may be provided after the username, in which case they are supplied to the user's login shell. In particular, an argument of -c will cause the next argument to be treated as a command by most command interpreters. The command will be executed by the shell specified in /etc/passwd for the target user. You can use the -- argument to separate su options from the arguments supplied to the shell. The user will be prompted for a password, if appropriate. Invalid passwords will produce an error message. All attempts, both valid and invalid, are logged to detect abuse of the system. The current environment is passed to the new shell. The value of $PATH is reset to /bin:/usr/bin for normal users, or /sbin:/bin:/usr/sbin:/usr/bin for the superuser. This may be changed with the ENV_PATH and ENV_SUPATH definitions in /etc/login.defs. A subsystem login is indicated by the presence of a "*" as the first character of the login shell. The given home directory will be used as the root of a new file system which the user is actually logged into. OPTIONS The options which apply to the su command are: -c, --command COMMAND Specify a command that will be invoked by the shell using its -c. The executed command will have no controlling terminal. This option cannot be used to execute interractive programs which need a controlling TTY. -, -l, --login Provide an environment similar to what the user would expect had the user logged in directly. When - is used, it must be specified as the last su option. The other forms (-l and --login) do not have this restriction. -s, --shell SHELL The shell that will be invoked. The invoked shell is chosen from (highest priority first): The shell specified with --shell. If --preserve-environment is used, the shell specified by the $SHELL environment variable. The shell indicated in the /etc/passwd entry for the target user. /bin/sh if a shell could not be found by any above method. If the target user has a restricted shell (i.e. the shell field of this user's entry in /etc/passwd is not listed in /etc/shells), then the --shell option or the $SHELL environment variable won't be taken into account, unless su is called by root. -m, -p, --preserve-environment Preserve the current environment, except for: $PATH reset according to the /etc/login.defs options ENV_PATH or ENV_SUPATH (see below); $IFS reset to “<space><tab><newline>”, if it was set. If the target user has a restricted shell, this option has no effect (unless su is called by root). Note that the default behavior for the environment is the following: The $HOME, $SHELL, $USER, $LOGNAME, $PATH, and $IFS environment variables are reset. If --login is not used, the environment is copied, except for the variables above. If --login is used, the $TERM, $COLORTERM, $DISPLAY, and $XAUTHORITY environment variables are copied if they were set. Other environments might be set by PAM modules. CAVEATS This version of su has many compilation options, only some of which may be in use at any particular site. CONFIGURATION The following configuration variables in /etc/login.defs change the behavior of this tool: CONSOLE_GROUPS (string) List of groups to add to the user's supplementary groups set when logging in on the console (as determined by the CONSOLE setting). Default is none. Use with caution - it is possible for users to gain permanent access to these groups, even when not logged in on the console. DEFAULT_HOME (boolean) Indicate if login is allowed if we can't cd to the home directory. Default is no. If set to yes, the user will login in the root (/) directory if it is not possible to cd to her home directory. ENV_PATH (string) If set, it will be used to define the PATH environment variable when a regular user login. The value is a colon separated list of paths (for example /bin:/usr/bin) and can be preceded by PATH=. The default value is PATH=/bin:/usr/bin. ENV_SUPATH (string) If set, it will be used to define the PATH environment variable when the superuser login. The value is a colon separated list of paths (for example /sbin:/bin:/usr/sbin:/usr/bin) and can be preceded by PATH=. The default value is PATH=/sbin:/bin:/usr/sbin:/usr/bin. SULOG_FILE (string) If defined, all su activity is logged to this file. SU_NAME (string) If defined, the command name to display when running "su -". For example, if this is defined as "su" then a "ps" will display the command is "-su". If not defined, then "ps" would display the name of the shell actually being run, e.g. something like "-sh". SYSLOG_SU_ENAB (boolean) Enable "syslog" logging of su activity - in addition to sulog file logging. FILES /etc/passwd User account information. /etc/shadow Secure user account information. /etc/login.defs Shadow password suite configuration. EXIT VALUES On success, su returns the exit value of the command it executed. If this command was terminated by a signal, su returns the number of this signal plus 128. If su has to kill the command (because it was asked to terminate, and the command did not terminate in time), su returns 255. Some exit values from su are independent from the executed command: 0 success (--help only) 1 System or authentication failure 126 The requested command was not found 127 The requested command could not be executed SEE ALSO login(1), login.defs(5), sg(1), sh(1). shadow-utils <IP_ADDRESS> 05/25/2012 SU(1)


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.imaging.formats.png.chunks; | |
| 18 | ||
| 19 | import java.io.ByteArrayInputStream; | |
| 20 | ||
| 21 | import org.apache.commons.imaging.common.BinaryFileParser; | |
| 22 | ||
| 23 | public class PngChunk extends BinaryFileParser { | |
| 24 | public final int length; | |
| 25 | public final int chunkType; | |
| 26 | public final int crc; | |
| 27 | private final byte bytes[]; | |
| 28 | ||
| 29 | private final boolean propertyBits[]; | |
| 30 | public final boolean ancillary, isPrivate, reserved, safeToCopy; | |
| 31 | ||
| 32 | public PngChunk(final int Length, final int ChunkType, final int CRC, final byte bytes[]) { | |
| 33 | this.length = Length; | |
| 34 | this.chunkType = ChunkType; | |
| 35 | this.crc = CRC; | |
| 36 | this.bytes = bytes; | |
| 37 | ||
| 38 | propertyBits = new boolean[4]; | |
| 39 | int shift = 24; | |
| 40 |
3
1. 2. 3. |
for (int i = 0; i < 4; i++) { |
| 41 |
2
1. 2. |
final int theByte = 0xff & (ChunkType >> shift); |
| 42 |
1
1. |
shift -= 8; |
| 43 | final int theMask = 1 << 5; | |
| 44 |
3
1. 2. 3. |
propertyBits[i] = ((theByte & theMask) > 0); |
| 45 | } | |
| 46 | ||
| 47 | ancillary = propertyBits[0]; | |
| 48 | isPrivate = propertyBits[1]; | |
| 49 | reserved = propertyBits[2]; | |
| 50 | safeToCopy = propertyBits[3]; | |
| 51 | } | |
| 52 | ||
| 53 | public byte[] getBytes() { | |
| 54 |
1
1. getBytes : mutated return of Object value for org/apache/commons/imaging/formats/png/chunks/PngChunk::getBytes to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return bytes; |
| 55 | } | |
| 56 | ||
| 57 | public boolean[] getPropertyBits() { | |
| 58 |
1
1. getPropertyBits : mutated return of Object value for org/apache/commons/imaging/formats/png/chunks/PngChunk::getPropertyBits to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return propertyBits.clone(); |
| 59 | } | |
| 60 | ||
| 61 | protected ByteArrayInputStream getDataStream() { | |
| 62 | final ByteArrayInputStream is = new ByteArrayInputStream(getBytes()); | |
| 63 |
1
1. getDataStream : mutated return of Object value for org/apache/commons/imaging/formats/png/chunks/PngChunk::getDataStream to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return is; |
| 64 | } | |
| 65 | ||
| 66 | } | |
Mutations | ||
| 40 |
1.1 2.2 3.3 |
|
| 41 |
1.1 2.2 |
|
| 42 |
1.1 |
|
| 44 |
1.1 2.2 3.3 |
|
| 54 |
1.1 |
|
| 58 |
1.1 |
|
| 63 |
1.1 |


Guards on duty when Jeffrey Epstein died face charges of falsifying records
Two prison officers responsible for guarding Jeffrey Epstein on the night he killed himself have been charged with falsifying prison records.
A grand jury indictment made public in New York on Tuesday accused guards Toval Noel and Michael Thomas of failing to perform checks on Epstein every half hour, as required, and of fabricating log entries to show they had.
Epstein was found dead in his cell in August.
A message left with union officials representing the guards was not immediately returned.
Epstein, whose influential circle of friends had included Donald Trump and the Duke of York, was facing charges of sex trafficking.
READ MORE
Andrew project suffers sponsorship blow amid Epstein statement calls


Scientists have developed a blood test which they say may be able to spot who is at most risk of getting severe COVID-19 disease, and which may help doctors to develop new treatments. Some people have only mild symptoms after being infected with SARS-CoV-2, the virus that causes COVID-19, while others are much more severely affected. It is not clear why some people are affected more than others. This test suggests the immune system response to the virus may explain this variation. The blood test identified 27 proteins which were either higher or lower than the normal range in people who had more severe disease. If the test is validated, these proteins could be used as ‘biomarkers’ to identify people likely to need oxygen or ventilation. However, in the study, the test was used on just 48 people with COVID-19. Bigger studies would be needed to make sure the test is reliable.
The Sun and The Times carried news stories about the research, from the Francis Crick Institute in the UK and the Charite Universitatsmedizin Berlin in Germany. Both reports focused on the potential of the tests to identify those at highest risk of severe illness or death
The study the reports were based on was published in the journal Cell Press. In the study, the researchers explain how they developed a system to rapidly analyse proteins in blood samples using mass spectrometry. The automated system can analyse almost 800 samples a day, the researchers say. It was developed before the COVID-19 outbreak started. They ‘trained’ the system using blood tests from a random population-level sample of 199 people from Scotland. The system used a form of artificial intelligence, deep neural networks, to analyse the data from the Scottish blood samples. Then, once the coronavirus outbreak began, they worked with doctors in Germany to analyse blood samples from 31 patients admitted to hospital with COVID-19. The research identified 27 biomarkers which were higher or lower than normal for patients who were more severely ill. A separate group of 17 COVID-19 patients and 15 healthy volunteers then had their blood tested for these biomarkers. The biomarkers found to be different in people who were more severely ill included proteins involved in inflammation and immune response, as well as proteins relating to blood clotting and tissue repair. Inflammation, an over-active immune response, blood clots and damage to lung tissue have all been seen in sicker COVID-19 patients. The researchers say their test might not only help identify patients likely to have worse disease and need more care, but could also help researchers trying to work out how best to target the disease with drugs or other treatments.


TAILOR OF PANAMA, THE (director/writer: John Boorman; screenwriters: John le Carré/Andrew Davies/based on the book by Mr. le Carré; cinematographer: Philippe Rousselot; editor: Ron Davis; cast: Pierce Brosnan (Andy Osnard), Geoffrey Rush (Harry Pendel), Jamie Lee Curtis (Louisa Pendel), Leonor Varela (Marta), Brendan Gleeson (Mickie Abraxas), Harold Pinter (Uncle Benny), Catherine McCormack (Francesca), Leonor Varela (Marta), Lola Boorman (Sarah, Harry's daughter), Daniel Radcliffe (Mark, Harry's son-he will be the actor to play Harry Potter), Martin Ferrero (Teddy), John Fortune (Ambassador Maltby), David Hayman (Luxmore), Jon Polito (Ramon), Dylan Baker (American General), Mark Margolis (Rafi Domingo); Runtime: 120; Columbia Pictures; 2001-USA/Ireland)
Reviewed by Dennis Schwartz
An amusing and sophisticated espionage thriller, only slightly flawed by some of its contrivances. This British spy spoof is about a colorful tailor who gets off on being respected by the prominent people he surrounds himself with, who is a storyteller with a shady past. The self-exiled tailor lives in Panama by the decree of his Uncle Benny (Harold Pinter). He reluctantly becomes a spy for an unscrupulous British agent.  He's a disgraced M.I.-6 agent exiled to Panama City to cool his heels. But Andy is a go-getter, a schemer and an opportunist without scruples. He's one of those handsome womanizer types (he's not exactly James Bond in this role, but plays a parody of that role), who only looks out for himself and is quite adept at leaving others in the lurch after seducing them.
Arriving in Panama the first thing he does is look up the fidgety tailor Harry Pendel (Geoffrey Rush), a half-Jewish cockney ex-convict who reinvented himself as the Saville Row tailor who makes up a tale that he was partners with the WASP Brathwaite. He learned the craft in prison and after serving his time, his beloved Uncle Benny set him up in business far away from him. Here he sells old-fashioned custom-made suits at steep prices, working out of a shop decorated with leather club chairs where he serves class and Scotch to his pampered wealthy clientele. He always speaks with utter praise for his late partner, the revered Brathwaite; even though, Brathwaite never existed for him. The oil painting that hangs on Harry's fitting-room wall that is supposed to be a portrait of Brathwaite is actually a portrait of Harry's late Uncle Benny, an East End rag man, whose dreamlike face appears at troubled times to offer Harry advice on how to deal with his current state of being.
Andy knows all this already and also knows that the tailor owes $50,000 on a farm he bought where he mortgaged his business and home, and now the loan is being called in by the bank. His American wife, Louisa (Jamie Lee Curtis), the respected daughter of an engineer who worked on the canal, doesn't know Harry's dark secret from the past or how he has put their two children Sarah and Mark in financial danger because of his rash actions. But Harry has an offer from Andy he can't refuse. If he sells Andy info about what's going on in Panama the loan will be paid back by the Brits, as the Brits like the Americans are worried about the canal now that it has been handed back to Panama. They are worried that those in power shouldn't sell this very valuable trade route to another country. And, since the tailor's wife is the high-powered executive assistant to the Canal director, Andy gets him to spy on her. Harry can't resist this temptation to tell tall stories and soon he's telling Andy what he wants to hear. Andy knows that he's making this up, but pays him anyway because it fits in with the scheme he's cooking up.
Geoffrey Rush is the timid man trapped in the post-Noriega Panamanian intrigues, and Pierce Brosnan is the seducer without morals. They play one another off in a most refreshingly joyous way, as for a while is hard to tell who has the upper hand. Under John Boorman's (Deliverance/Hope and Glory) competent direction, the film has air to breathe for its smart storytelling tale and parody. It is based on the popular 1996 novel by John John le Carré, who also was the screenwriter and the executive producer, making sure his work was translated onto the screen in a reasonable facsimile from the book. Which he said it was.
The supporting actors of note that lent a hand in making this spy story edgy: were Chilean actress Leonor Varela's role as Harry's receptionist, whose one side of the face is scarred because of the beating Noriega's henchmen gave her. Noriega is the puppet the CIA head man Bush put in power, but when his criminal activities and dealings in drugs became too great for even President Bush, he was forcibly removed from power in an invasion of the country. The country is now supposedly a democracy, but as Boorman wryly points out these are the sames faces running the country who were with Noriega. Brendan Gleeson plays the wino, a one time rebel against Noriega, who is now too weak after spending some jail time to be anything but a broken down man. Harry's tale to Andy is that he's head of the 'silent opposition.' He says that this freedom-fighting organization, headed by Gleeson, is planning to take back control of the Panama Canal from the corrupt government. The joke is how readily the Americans buy into this unreliable info without thoroughly checking it out, and how this quickly turns into an international disagreement between Panama and the U.S.. Catherine McCormack is part of the British Embassy staff, who succumbs to Andy's sexual charms.
This farce works out fairly well. The script is tight. The directing is impeccable, the acting finely tuned, and the mood it sets is for a thinking man's picture to develop amidst all the comedy. Boorman gets his digs in on what is going on down Panama way, now that Noriega is in jail. The digs I liked best were: 'You know what the poor call those?' pointing to the city's skyline, 'Cocaine towers! And the 85 banks? Launderettes!' This is not an ordinary commercial formula film, but it's more like Harry's handmade suits rather than those suits bought off the rack.
REVIEWED ON 6/3/2001 GRADE: B+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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At the begining of the game the chips are placed in the home of its own color.
Players roll the dice in successive turns. It is usually decided which is the player who starts playing by throwing it
with the die at the highest number. From the beginning, the game will continue to assign successive turns from left to
right.
The players will be incorporating chips in the playing area only when they roll five, and at the rate of only one chip
per spin. This incorporation will be mandatory every time a player in his turn has a five and has a chip at home. In
these cases, and after the subsequent 5, the player will remove one of his house chips by placing it in the exit box /
insurance of his color.


ECS 189e (Fall 2018)
iOS and Android fundamentals
General information
| Information | Details |
|---|---|
| Lecture time and location | Monday, Wednesday, and Friday from 9-9:50am in Art 204 |
| Discussion time and location | Friday from 10-10:50am in Art 204 |
| Instructor | Sam King<EMAIL_ADDRESS>|
| TA | Zhiyi Xu<EMAIL_ADDRESS>|
| Sam's Office Hours | Monday and Wednesday 10:15-11am in Kemper 3061 |
| Final | No final exam! |
| Canvas | https://canvas.ucdavis.edu/courses/274727 |
| Piazza | https://piazza.com/class/jmjhqdp127p726 |
Overview
This course will teach you how to write apps for both Android and iOS. We will focus on how these systems work behind the scenes, and discuss why they do things the way they do. At the end, students will be able to write moderately complex iOS and Android apps.
The prerequisite for this class is undergraduate operating systems (ECS 150 or equivalent).
Lectures
You are responsible for knowing about all announcements made in lecture. We will discuss expectations about the project, suggestions for how to succeed, and grading guidelines in class, and general class policy issues, so make sure you don't miss any lectures.
Do I need ECS 150 (undergrad OS)?
Yes, but I'm not going to enforce it. Among the topics I'm going to assume you're comfortable with are threads and synchronization, networking, and file systems and storage. Pragmatically, without these you can still get quite a bit out of the class and not having 150 will only hurt you for about 1/3 of the content in the class. Specifically, this means that:
- You are likely to struggle with 3 of the quizzes.
- You will likely get less out of about 1/3 of the lectures.
- You will still be able to write iOS and Android apps at the end of the quarter, even though you'll miss some of the most important parts of the class.


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At S3 we know there is not a single solution to any problem so we don’t sell solutions, we help you find yours.
Find Out More
The word serendipity became known from The Three Princes of Serendip - a Persian fairy tail about adventures of three princes who made series of accidental discoveries in their quest of a lost camel.
What do you have in common with the three princes of serendip?
Louis Pasteur, French microbiologist, chemist, and innovator, famously stated, “Chance favors the prepared mind.”
At S3 we will help you prepare for new opportunities that will lead to successful outcomes.
S3 helps people in organizations to re-envision and re-invent their authentic best. We co-create with our partners the right conditions for them to succeed and thrive.
If you had a magic wand and could make any change to your organization in a split second what would it be?
Form coming soon
Get Started!
Most problems are like icebergs, you only see a small part of the whole piece. We use a facilitated approach to expand your view to see the foundation of a problem and allow you successfully navigate the waters by using a testable and impactful solution. We help create and facilitate a Design Thinking workshop to help you define the right thing to solve and the right way to solve it.
We offer a guided workshop to understand the key concepts of S3 and develop innovative ideas for the new challenges of a company or organisation.
Is your team whole? Is your team’s collective intelligence and output greater than the sum of its individuals? Team Whole is an approach that allows your team to re-imagine collaboration by envisioning the team’s true goal, identifying and respecting each individual’s perspective and strengths and aligning them in the pursuit of that goal.
We also design custom solutions based on your needs and preferences. Email us to chat about what comes next<EMAIL_ADDRESS>We are a collective of curious individuals who like to learn, think, and do. Our diverse backgrounds allow for complementary perspectives and mindsets. We created S3 because we share a genuine desire to help people and organizations thrive.
Say hello@scubed.io


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Welcome to our new site! We hope you are as exited as we are for our leap into the digital age. With these changes there will undoubtedly be growing pains but if you come across a problem please click the Feedback link here or in the footer and we will work to rectify things as quickly as possible! Also feel free to just let us know what you think, good or bad. With that out of the way, go ahead and play around!
| Bracket Name | Winner | Score |
|---|


This Week in Near-Earth Objects
We don't want to go the way of the dinosaurs, so let's keep our eyes on the sky! The following is a list of Neos will be passing by Earth over the next week:
Near-Earth Objects (Neos) are comets and asteroids that have been nudged by the gravitational attraction of nearby planets into orbits that allow them to enter the Earth's neighborhood.
Stay informed on what's going on in the skys overhead. Get the latest near-earth object news from Nasa's Jet Propulsion Labratory blog.


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Linux Guest Account
Table of Contents
In public computers (e.g. in schools, libraries, universities, etc.) it is useful to have a frozen guest account. This means that the content of the account is temporary and is erased immediately after logout or reboot. This is important because it reverts automatically all the default settings, no matter how much the users mess with them, therefore minimising the need for maintenance. It is also important for the safety of the users, because it ensures that no open accounts or passwords are left behind.
For example a user may login to his gmail account and forget to logout (or maybe the electricity goes out). Then the next user will be able to read his emails because the session is open in the browser. Or maybe a user writes a personal document (e.g. a homework) and forgets to delete it when he is done. Then the next user will be able to copy it. Or maybe a user changes the settings of the desktop and makes it difficult for the other users to use it. Then the administartor has to fix it back again. The guest account is a good solution for all these kind of problems.
Ubuntu already has a guest account, but we will see how to improve it and customize it.
1 Automatic login of the guest account
Since the guest account is the one that will be mostly used in a
public computer, it may be nice to enable automatic login for it.
It can be done by editing the file /etc/lightdm/lightdm.conf
and making sure that it has a config line like this:
[SeatDefaults] autologin-guest=true
Another option that may be usefull is:
autologin-user-timeout=10
2 Customize the guest account
In case that we want to modify the default settings of the guest acount, we can use a trick like this: create a skeleton account with the right settings and then configure the guest session to copy those settings from the skeleton account.
This is how you can do it:
Create a new user account, called "Hospitality". You can do that by launching "Users and Groups" from the menu. This should be a normal user account with no special priviliges.
Note: the "Full Name" of this new user should begin with a capital letter! Not the "Username", because user names have to be all lowercase. But in "Users and Groups" the new "Full Name" should begin with a capital letter, because otherwise a malfunction might occur.
Ensure that a password is required for logging into this new user account. It's best to set the same password as the one for the account of the system administrator (your personal account), because only the system administrator should be able to log into it.
Log out and then log into the new user account Hospitality, and configure it the way you want the Guest session to become. For example with different settings for Firefox and Libre Office.
In the next step you'll ensure that the Guest session will copy all of it's settings from the new account Hospitality. You can change those settings later on as well: later changes will also land automatically in the Guest session.
- Log out from the Hospitality account and log into the account of the system administrator (your personal account).
Launch a terminal window and copy/paste the following command line into it:
sudo mkdir /etc/guest-session
Press Enter. When prompted, type your password. Your password will remain entirely invisible, not even dots will show, this is normal. Press Enter again.
Then copy/paste this command line into the terminal:
sudo ln -s /home/hospitality /etc/guest-session/skel
Press Enter. (Note that hospitality doesn't begin with a capital letter in the command.)
- Log out from your account and log into the Guest session. Now it should have the same settings as the new user account Hospitality.
The only disadvantage is, that you now have an extra "useless" user account in the login window.


Hello World and Problem statement
This is my first entry for the blog! On this blog I’ll be talking about the different purposed exercises on the JdeRobot platform. The first one is the line follower explained after this brief intro.
Blog configuration
For this blog I’ll be using Jekyll Now combined with Github pages. To easily setup your own blog on Github pages head over to the Jekyll Now repository on GitHub.
Problem statement
The follow line project consists in… Exactly that. With a F1 car. Fast. But keep calm, this will be comfortably done on a web platform with a simulated car capable of taking images with a camera on its front.
The control is directly focused on the basic movements, speed and angular speed. No more steering wheels, gears or pedals, with only two controllable actuators the control is simplified to what really matters. The goal is to keep the car as close as possible to the line while completing the full lap. And then… make it faster without crashing on the attempt.


WHIPPED A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): *
How's this for an original concept?  Pretty tired. The only possible twist in writer/director/producer Peter M. Cohen's WHIPPED is whether the women are as innocent and vulnerable as they seem or whether they are scamming the men just like they are being scammed. The twist, of course, is no twist at all since anyone with any intelligence whatsoever can guess it.
All of this might be ignored if there was good acting or a bright script. WHIPPED, however, features some of the worst acting this side of a high school play. The movie, which badly wants to be a THERE'S SOMETHING ABOUT MARY version of DINER, has a script that is disgustingly crude but almost never funny. Its repulsive humor includes anal-oral sex on someone who suffers from diarrhea. The talented Farrelly brothers might find a way to make this scene work, but Cohen is in no danger of being mistaken for a third Farrelly brother.
 Their shoot their favorite questions at each other -- "Did you nail her?" "Did you stuff her?" -- with salivating coarseness. The movie's harsh sound makes listening to them about as enjoyable as enduring a heavy rainstorm under a cheap metal roof.
The leader of the pack and the self-described "good catch" is named Brad (Brian Van Holt). He is a broker with an electronic stock ticker over his bed. Zeke (Zorie Barber) is a martial arts type who likes to buy extra-large-sized condoms although he needs extra small. Told that he needs to be nice to women, he replies with "Man, that sucks!"  He carefully dispels this notion by confiding to the camera that he isn't homosexual and is just more in touch with his feminine side than his friends.
The odd-man out is the constantly blinking Eric (Judah Domke), an unhappily married guy. He was in charge of "jumping on the grenade" when the four of them used to cruise bars looking for chicks. He would jump on the ugliest one to save the other guys. He married one of these "grenades" and now relegates himself to using various pieces of kitchen cutlery to spice up their sex life.
Mel, who is the proud owner of a 5-speed that's not a bicycle, meets and falls for each of the guys, except Eric. In the first act, the men talk about her constantly but somehow never manage to mention her name so that they don't realize that they are dating the same woman. In the second act, they find out but still keep dating her. And in the third and final act, their situation gets resolved exactly as you would expect.
Consider what this movie teaches the teenage and young adult audience for which the movie is clearly aimed. Sex is only something to be "scammed" from someone and to be snickered at. The movie reinforces this by making the sex acts themselves happen fast and under cover. After making sex so filthy, they certainly wouldn't want to show it to us. The act of love is considerably cheapened by this film without any comedic payoff in return. Our packed audience, which had just the right demographics for the picture, produced only sporadic and scattered laugher.
On a more positive note. The film is short -- albeit not near short enough.
WHIPPED runs 1:25. It is rated R for strong sexual content and language and would be acceptable for college students and older.
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And the computer said: Keyboard not found
Press F1 to continue.
The volume of a box is l × w × h, where l represents the length, w the width and h the height of the box.
This quote is from the IETF, about avian carriers:
Avian carriers can provide high delay, low throughput, and low altitude service. The connection topology is limited to a single point-to-point path for each carrier, used with standard carriers, but many carriers can be used without significant interference with each other, outside of early spring. This is because of the 3D ether space available to the carriers, in contrast to the 1D ether used by IEEE802.3. The carriers have an intrinsic collision avoidance system, which increases availability.
This quote is from the IETF, about avian carriers:
Avian carriers can provide high delay, low throughput, and low altitude service. The connection topology is limited to a single point-to-point path for each carrier, used with standard carriers, but many carriers can be used without significant interference with each other, outside of early spring. This is because of the 3D ether space available to the carriers, in contrast to the 1D ether used by IEEE802.3. The carriers have an intrinsic collision avoidance system, which increases availability.
The HST is among the most productive scientific instruments ever constructed. It has been in orbit for over 20 years, scanning the sky and returning data and photographs of unprecedented quality and detail.
Firmware used to perform hardware initialization during the booting process (power-on startup), and to provide runtime services for operating systems and programs.
The HTML tag <dfn> is usually present on text that includes the term to define but doesn't want to get into definition details.
Several species of salamander inhabit the temperate rainforest of the Pacific Northwest.
Most salamanders are nocturnal, and hunt for insects, worms, and other small creatures.


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// Created by Mark Larsen on 6/24/14.
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// Copyright (c) 2014 marklarr. All rights reserved.
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//
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#import <XCTest/XCTest.h>
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#import "fixtures.h"
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#import "fixturesTwo.h"
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@interface fixturesTests : XCTestCase
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@end
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@implementation fixturesTests
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- (void)setUp
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{
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[super setUp];
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// Put setup code here. This method is called before the invocation of each test method in the class.
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}
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- (void)tearDown
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{
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// Put teardown code here. This method is called after the invocation of each test method in the class.
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[super tearDown];
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}
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- (void)testExample
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{
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fixtures *f = [[fixtures alloc] init];
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[f testedMethod];
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}
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- (void)testFixturesTwo
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{
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fixturesTwo *f2 = [[fixturesTwo alloc] init];
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XCTAssertEqual([f2 doSomething], 11);
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}
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@end
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--- title: "Average salaries per pupil in Hamilton County, Tennessee" date: 2016-03-17 15:30:00 -0400 layout: post related: embed_source: "/charts/average-teacher-salary-per-pupil/" description: Comparing school personnel salaries from 2008 to 2016. ---


Functions
- Set of commands for doing something, that may or may not take some input and that generates some output.
- Called by typing the function name, followed by parentheses which may contain arguments that are passed to the function.
- Entering the function name without parentheses returns the function's code. (Try this for one of the functions you have learned.)
- Creating a function involves specifying arguments (if any), listing the expressions to be evaluated, and specifying the value(s) to be returned
Functions
Writing your own function -- example:
my_super_function <- function(a, b=10){
x1 <- a*b
x2 <- x1-45
x3 <- x2^2
return(x3)
}
Basic Organization and Workflow
- Create a directory for each data analysis project you are working on .
- Use the RStudio projects to automatically start R with the correct working directory for the project; or use
setwd()
to set the desired working directory.
- Use file names that mean something.
- Decide if you want to keep the
.RData
file when closing sessions. (I usually do not keep this.).
Packages
- Install using
install.packages()
function.
- Load using
library()
function or require()
function.
Packages
Install then load the Hmisc and tidyverse package
install.packages(c("Hmisc", "tidyverse"))
library(Hmisc)
library(tidyverse)
Wrangling
- For practice, I have taken a random sample of 1000 records from the Chicago 2017 crimes database.
- Download it from here and place it in your the working directory for this class project.
- Import it into R using the
read.csv
function, assigning it to a variable called D
.
Wrangling
- What should we do with this data?
Wrangling
- Follow along with this demonstration script.


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