psyteachr tracking form

book/appendix-y-license.Rmd

@@ -1,7 +1,15 @@
-# License {-}
+# Using our materials {-}
+
+
+All PsyTeachR resources are open-access with Creative Commons licences (see below). You are free to reuse, remix, and adapt our materials with attribution. If you do use any of our work, please complete this [short form](https://forms.office.com/e/v8Sk0UpP6Q) so that we can track our impact.
+
+## Licence
 
 This book is licensed under Creative Commons Attribution-ShareAlike 4.0 International License [(CC-BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/){target="_blank"}. You are free to share and adapt this book. You must give appropriate credit [@psyteachr-template], provide a link to the license, and indicate if changes were made. If you adapt the material, you must distribute your contributions under the same license as the original. 
 
 
 
 
+
+
+

book/packages.bib

@@ -33,9 +33,9 @@ @Manual{R-forcats
 
 @Manual{R-ggplot2,
   title = {ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics},
-  author = {Hadley Wickham and Winston Chang and Lionel Henry and Thomas Lin Pedersen and Kohske Takahashi and Claus Wilke and Kara Woo and Hiroaki Yutani and Dewey Dunnington},
-  year = {2023},
-  note = {R package version 3.4.2},
+  author = {Hadley Wickham and Winston Chang and Lionel Henry and Thomas Lin Pedersen and Kohske Takahashi and Claus Wilke and Kara Woo and Hiroaki Yutani and Dewey Dunnington and Teun {van den Brand}},
+  year = {2024},
+  note = {R package version 3.5.1},
   url = {https://CRAN.R-project.org/package=ggplot2},
 }
 
@@ -51,7 +51,7 @@ @Manual{R-lubridate
   title = {lubridate: Make Dealing with Dates a Little Easier},
   author = {Vitalie Spinu and Garrett Grolemund and Hadley Wickham},
   year = {2023},
-  note = {R package version 1.9.2},
+  note = {R package version 1.9.3},
   url = {https://CRAN.R-project.org/package=lubridate},
 }
 

docs/01-intro.md

@@ -265,7 +265,7 @@ My name is `r name` and I am `r age` years old. It is `r birthday - today` days
 
 As if by magic, that slightly odd bit of text you copied and pasted now appears as a normal sentence with the values pulled in from the objects you created. 
 
-**My name is Emily and I am 39 years old. It is 273 days until my birthday.**
+**My name is Emily and I am 39 years old. It is 267 days until my birthday.**
 
 We're not going to use this function too often in the rest of the course but hopefully you can see just how useful this would be when writing up a report with lots of numbers. R Markdown is an incredibly powerful and flexible format - this book was written using it! 
 
@@ -295,6 +295,35 @@ The key thing we want you to take away from this chapter is that R isn't scary.
 
 The glossary at the end of each chapter defines common jargon you might encounter while learning R. This specialised vocabulary can help you to communicate more efficiently and to search for solutions to problems. The terms below link to our [PsyTeachR glossary](https://psyteachr.github.io/glossary/), which contains further information and examples.
 
-|term      |definition                                                                                                                                                                 | |:---------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |character |A data type representing strings of text.                                                                                                                                  | |IDE       |Integrated Development Environment: a program that serves as a text editor, file manager, and provides functions to help you read and write code. RStudio is an IDE for R. | |numeric   |A data type representing a real decimal number or integer.                                                                                                                 | |object    |A word that identifies and stores the value of some data for later use.                                                                                                    | |panes     |RStudio is arranged with four window "panes".                                                                                                                              |
+<table>
+ <thead>
+  <tr>
+   <th style="text-align:left;"> term </th>
+   <th style="text-align:left;"> definition </th>
+  </tr>
+ </thead>
+<tbody>
+  <tr>
+   <td style="text-align:left;"> character </td>
+   <td style="text-align:left;"> A data type representing strings of text. </td>
+  </tr>
+  <tr>
+   <td style="text-align:left;"> IDE </td>
+   <td style="text-align:left;"> Integrated Development Environment: a program that serves as a text editor, file manager, and provides functions to help you read and write code. RStudio is an IDE for R. </td>
+  </tr>
+  <tr>
+   <td style="text-align:left;"> numeric </td>
+   <td style="text-align:left;"> A data type representing a real decimal number or integer. </td>
+  </tr>
+  <tr>
+   <td style="text-align:left;"> object </td>
+   <td style="text-align:left;"> A word that identifies and stores the value of some data for later use. </td>
+  </tr>
+  <tr>
+   <td style="text-align:left;"> panes </td>
+   <td style="text-align:left;"> RStudio is arranged with four window "panes". </td>
+  </tr>
+</tbody>
+</table>
 
 

docs/02-stroop.md

@@ -204,7 +204,7 @@ library(cowsay)
 ```
 
 ```
-## Warning: package 'cowsay' was built under R version 4.3.1
+## Warning: package 'cowsay' was built under R version 4.3.3
 ```
 
 You'll see `library(cowsay)` appear in the console. There's no warning messages or errors so it looks like it has loaded successfully.

docs/09-big5.md

@@ -30,14 +30,14 @@ For the next set of chapters we're going to use data from the most popular model
 <br>
 
 1. The trait 'Agreeableness' in the Big Five personality model refers to:
-<div class='webex-radiogroup' id='radio_ERQEPTBNUC'><label><input type="radio" autocomplete="off" name="radio_ERQEPTBNUC" value=""></input> <span>The tendency to be organized, careful, and disciplined</span></label><label><input type="radio" autocomplete="off" name="radio_ERQEPTBNUC" value="answer"></input> <span>The tendency to be compassionate, cooperative, and warm towards others</span></label><label><input type="radio" autocomplete="off" name="radio_ERQEPTBNUC" value=""></input> <span>The tendency to be outgoing, energetic, and sociable</span></label><label><input type="radio" autocomplete="off" name="radio_ERQEPTBNUC" value=""></input> <span>The tendency to experience mood swings, anxiety, and irritability.</span></label></div>
+<div class='webex-radiogroup' id='radio_TGGQFYLUVK'><label><input type="radio" autocomplete="off" name="radio_TGGQFYLUVK" value=""></input> <span>The tendency to be organized, careful, and disciplined</span></label><label><input type="radio" autocomplete="off" name="radio_TGGQFYLUVK" value="answer"></input> <span>The tendency to be compassionate, cooperative, and warm towards others</span></label><label><input type="radio" autocomplete="off" name="radio_TGGQFYLUVK" value=""></input> <span>The tendency to be outgoing, energetic, and sociable</span></label><label><input type="radio" autocomplete="off" name="radio_TGGQFYLUVK" value=""></input> <span>The tendency to experience mood swings, anxiety, and irritability.</span></label></div>
 
 
 <br>
 
 2. In the context of the Big Five Personality model, which trait might be associated with a person who is diligent, efficient, and follows a schedule?
 
-<div class='webex-radiogroup' id='radio_UDHIOZDXNK'><label><input type="radio" autocomplete="off" name="radio_UDHIOZDXNK" value=""></input> <span>Neuroticism</span></label><label><input type="radio" autocomplete="off" name="radio_UDHIOZDXNK" value="answer"></input> <span>Conscientiousness</span></label><label><input type="radio" autocomplete="off" name="radio_UDHIOZDXNK" value=""></input> <span>Extraversion</span></label><label><input type="radio" autocomplete="off" name="radio_UDHIOZDXNK" value=""></input> <span>Agreeableness</span></label></div>
+<div class='webex-radiogroup' id='radio_BSHWGLQTDS'><label><input type="radio" autocomplete="off" name="radio_BSHWGLQTDS" value=""></input> <span>Neuroticism</span></label><label><input type="radio" autocomplete="off" name="radio_BSHWGLQTDS" value="answer"></input> <span>Conscientiousness</span></label><label><input type="radio" autocomplete="off" name="radio_BSHWGLQTDS" value=""></input> <span>Extraversion</span></label><label><input type="radio" autocomplete="off" name="radio_BSHWGLQTDS" value=""></input> <span>Agreeableness</span></label></div>
 
 
 <br>
@@ -51,7 +51,7 @@ For the next set of chapters we're going to use data from the most popular model
 <br>
 
 5. Which of these traits in the Big Five Personality model is most closely associated with creativity and a preference for novelty?
-<div class='webex-radiogroup' id='radio_FYHYJONUOB'><label><input type="radio" autocomplete="off" name="radio_FYHYJONUOB" value=""></input> <span>Extraversion</span></label><label><input type="radio" autocomplete="off" name="radio_FYHYJONUOB" value=""></input> <span>Conscientiousness</span></label><label><input type="radio" autocomplete="off" name="radio_FYHYJONUOB" value=""></input> <span>Neuroticism</span></label><label><input type="radio" autocomplete="off" name="radio_FYHYJONUOB" value="answer"></input> <span>Openness to Experience</span></label></div>
+<div class='webex-radiogroup' id='radio_EJLDYXDTYN'><label><input type="radio" autocomplete="off" name="radio_EJLDYXDTYN" value=""></input> <span>Extraversion</span></label><label><input type="radio" autocomplete="off" name="radio_EJLDYXDTYN" value=""></input> <span>Conscientiousness</span></label><label><input type="radio" autocomplete="off" name="radio_EJLDYXDTYN" value=""></input> <span>Neuroticism</span></label><label><input type="radio" autocomplete="off" name="radio_EJLDYXDTYN" value="answer"></input> <span>Openness to Experience</span></label></div>
 
 
 

docs/13-probability-1.md

@@ -47,10 +47,10 @@ How you tackle probability depends on the type of data/variables you are working
 
 What types of data are the below measurements?
 
-* Time taken to run a marathon (in seconds): <select class='webex-select'><option value='blank'></option><option value=''>ordinal</option><option value='answer'>ratio</option><option value=''>interval</option><option value=''>categorical</option></select>
-* Finishing position in marathon (e.g. 1st, 2nd, 3rd): <select class='webex-select'><option value='blank'></option><option value='answer'>ordinal</option><option value=''>categorical</option><option value=''>ratio</option><option value=''>interval</option></select>
-* Which Sesame Street character a runner was dressed as: <select class='webex-select'><option value='blank'></option><option value=''>ordinal</option><option value='answer'>categorical</option><option value=''>interval</option><option value=''>ratio</option></select>
-* Temperature of a runner dressed in a cookie monster outfit (in degrees Celsius): <select class='webex-select'><option value='blank'></option><option value=''>ordinal</option><option value=''>categorical</option><option value=''>ratio</option><option value='answer'>interval</option></select>
+* Time taken to run a marathon (in seconds): <select class='webex-select'><option value='blank'></option><option value=''>interval</option><option value=''>ordinal</option><option value=''>categorical</option><option value='answer'>ratio</option></select>
+* Finishing position in marathon (e.g. 1st, 2nd, 3rd): <select class='webex-select'><option value='blank'></option><option value=''>categorical</option><option value=''>ratio</option><option value=''>interval</option><option value='answer'>ordinal</option></select>
+* Which Sesame Street character a runner was dressed as: <select class='webex-select'><option value='blank'></option><option value='answer'>categorical</option><option value=''>interval</option><option value=''>ordinal</option><option value=''>ratio</option></select>
+* Temperature of a runner dressed in a cookie monster outfit (in degrees Celsius): <select class='webex-select'><option value='blank'></option><option value=''>ratio</option><option value='answer'>interval</option><option value=''>categorical</option><option value=''>ordinal</option></select>
 
 ## Probability distributions
 
@@ -131,9 +131,9 @@ As with any probabilities, real-world data will come close to the normal distrib
 
 Complete the sentences so that they are correct.
 
-* In a normal distribution, the mean, median, and mode <select class='webex-select'><option value='blank'></option><option value=''>sum to zero</option><option value='answer'>are all equal</option><option value=''>are always different</option></select>.
-* In a normal distribution, the further away from the mean an observation is <select class='webex-select'><option value='blank'></option><option value='answer'>the lower its probability of occuring</option><option value=''>the higher its probability of occuring</option></select>.
-* Whereas the binomial distribution is based on situations in which there are two possible outcomes, the normal distribution is based on situations in which the data <select class='webex-select'><option value='blank'></option><option value=''>has three possible values</option><option value='answer'>is a continuous variable</option><option value=''>is a categorical variable</option></select>.
+* In a normal distribution, the mean, median, and mode <select class='webex-select'><option value='blank'></option><option value='answer'>are all equal</option><option value=''>sum to zero</option><option value=''>are always different</option></select>.
+* In a normal distribution, the further away from the mean an observation is <select class='webex-select'><option value='blank'></option><option value=''>the higher its probability of occuring</option><option value='answer'>the lower its probability of occuring</option></select>.
+* Whereas the binomial distribution is based on situations in which there are two possible outcomes, the normal distribution is based on situations in which the data <select class='webex-select'><option value='blank'></option><option value=''>has three possible values</option><option value=''>is a categorical variable</option><option value='answer'>is a continuous variable</option></select>.
 
 ## Activity 4: Distribution test
 

docs/15-simulation.md

@@ -35,7 +35,7 @@ sample(x = c("HEADS", "TAILS"), size = 4, replace = TRUE)
 ```
 
 ```
-## [1] "HEADS" "HEADS" "HEADS" "TAILS"
+## [1] "HEADS" "TAILS" "HEADS" "HEADS"
 ```
 
 How many heads did you get? Don't worry if it's different to our example. Run the code again. How many heads did you get this time? How many do you get on each turn if you run the code five more times? 
@@ -53,7 +53,7 @@ sample(x = 0:1, size = 4, replace = TRUE)
 ```
 
 ```
-## [1] 1 0 1 1
+## [1] 1 0 1 0
 ```
 
 ## Activity 3: `sum()`
@@ -70,7 +70,7 @@ sample(x = 0:1, size = 4, replace = TRUE) %>% sum()
 ```
 
 ```
-## [1] 3
+## [1] 1
 ```
 
 Run this function multiple times (you can use the green markdown play arrow at the top right of the code chunk to make this easy). In our simulation of five sets of four flips we got 1, 3, 2, 2, and 3 heads. So in only one out of the five simulations did we get exactly one heads, i.e., a proportion of .2 or 20% of the time.
@@ -90,7 +90,7 @@ replicate(n = 20, expr = sample(0:1, 4, TRUE) %>% sum())
 ```
 
 ```
-##  [1] 2 2 2 2 3 1 1 3 1 3 2 2 2 3 4 2 3 1 1 1
+##  [1] 2 2 0 2 3 1 2 2 1 2 1 2 1 4 1 2 2 3 2 1
 ```
 
 
@@ -110,8 +110,8 @@ heads50
 ```
 
 ```
-##  [1] 3 3 3 4 1 1 3 2 1 1 0 1 2 2 2 1 3 1 2 1 4 1 1 0 3 1 2 3 2 3 1 2 1 3 2 1 3 2
-## [39] 2 1 1 2 3 2 1 2 3 1 2 2
+##  [1] 0 2 2 1 2 3 2 1 2 3 4 3 3 2 2 4 2 1 3 3 2 2 2 0 4 0 2 0 4 4 2 2 4 2 3 2 4 3
+## [39] 3 1 2 2 1 3 3 2 1 1 2 2
 ```
 
 ## Activity 6: probability
@@ -129,11 +129,11 @@ data50 <- tibble(heads = heads50) %>%   # convert to a table
 
 | heads|  n|    p|
 |-----:|--:|----:|
-|     0|  2| 0.04|
-|     1| 18| 0.36|
-|     2| 16| 0.32|
-|     3| 12| 0.24|
-|     4|  2| 0.04|
+|     0|  4| 0.08|
+|     1|  7| 0.14|
+|     2| 21| 0.42|
+|     3| 11| 0.22|
+|     4|  7| 0.14|
 
 Your numbers may be slightly different to the ones presented in this book - remember that by default, each time you run a simulation, you will get a different random sample.
 
@@ -213,7 +213,7 @@ data10K %>%
 
 |     p2|
 |------:|
-| 0.6872|
+| 0.6896|
 
 </div>
 
@@ -245,8 +245,8 @@ sd(normal)
 ```
 
 ```
-## [1] 10.08731
-## [1] 2.427028
+## [1] 10.11161
+## [1] 2.224537
 ```
 
 Finally, you can visualise your data with a density plot. Try changing the number of data points generated by `rnorm()` from 50 to 500 to 5000 and then see how the shape of the distribution changes.

docs/404.html

@@ -19,7 +19,7 @@
 <meta name="twitter:image" content="https://psyteachr.github.io/data-skills-v3/images/logos/logo.png">
 <!-- JS --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://kit.fontawesome.com/6ecbd6c532.js" crossorigin="anonymous"></script><script src="libs/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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-<script src="libs/bootstrap-4.6.0/bootstrap.bundle.min.js"></script><script src="libs/bs3compat-0.4.2/transition.js"></script><script src="libs/bs3compat-0.4.2/tabs.js"></script><script src="libs/bs3compat-0.4.2/bs3compat.js"></script><link href="libs/bs4_book-1.0.0/bs4_book.css" rel="stylesheet">
+<script src="libs/bootstrap-4.6.0/bootstrap.bundle.min.js"></script><script src="libs/bs3compat-0.5.0/transition.js"></script><script src="libs/bs3compat-0.5.0/tabs.js"></script><script src="libs/bs3compat-0.5.0/bs3compat.js"></script><link href="libs/bs4_book-1.0.0/bs4_book.css" rel="stylesheet">
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@@ -99,7 +99,7 @@ <h1>
 <li><a class="" href="symbols.html"><span class="header-section-number">A</span> Symbols</a></li>
 <li><a class="" href="conventions.html"><span class="header-section-number">B</span> Conventions</a></li>
 <li><a class="" href="server-troubleshooting.html"><span class="header-section-number">C</span> Server troubleshooting</a></li>
-<li><a class="" href="license.html">License</a></li>
+<li><a class="" href="using-our-materials.html">Using our materials</a></li>
 <li><a class="" href="references.html">References</a></li>
 </ul>
 
@@ -328,7 +328,7 @@ <h1>Page not found<a class="anchor" aria-label="anchor" href="#page-not-found"><
 <footer class="bg-primary text-light mt-5"><div class="container"><div class="row">
 
   <div class="col-12 col-md-6 mt-3">
-    <p>"<strong>Data Skills</strong>" was written by Emily Nordmann. It was last built on 2024-10-11.</p>
+    <p>"<strong>Data Skills</strong>" was written by Emily Nordmann. It was last built on 2024-10-17.</p>
   </div>
 
   <div class="col-12 col-md-6 mt-3">