Merge pull request #52 from kaijagahm/tidyverse-fix

Tidyverse fix

episodes/1-intro-reproducible-examples.md

@@ -23,7 +23,7 @@ exercises: 2
 #### Welcome and introductions
 - Welcome to "RRRR, I'm Stuck!" We're glad you're here! Let's first take care of a few setup steps. You should have all followed the setup instructions on the [workshop website](kaijagahm.github.io/R-help-reprexes/), and you should have both R and RStudio installed.
 
-- You should also have the following packages installed: {**reprex**}, {**ratdat**}, {**tidyverse**}.
+- You should also have the following packages installed: {**reprex**}, {**ratdat**}, {**dplyr**}, and {**ggplot2**}.
 
 - We have a range of levels of experience here. This workshop assumes that you are researcher in ecology/biology who has some prior experience working with R in RStudio.
 

learners/setup.md

@@ -85,12 +85,12 @@ While this may sound scary, it is **far more common** to run into issues due to
 
 ### Install required R packages
 
-During the course we will need a number of R packages. Packages contain useful R code written by other people. We will use the packages `ratdat`, `reprex`, and `tidyverse`. 
+During the course we will need a number of R packages. Packages contain useful R code written by other people. We will use the packages `ratdat`, `reprex`, `dplyr`, and `ggplot2`. 
 
 To try to install these packages, open RStudio and copy and paste the following command into the console window (look for a blinking cursor on the bottom left), then press the <kbd>Enter</kbd> (Windows and Linux) or <kbd>Return</kbd> (MacOS) to execute the command.
 
 ```{r}
-install.packages(c("ratdat", "reprex", "tidyverse"))
+install.packages(c("ratdat", "reprex", "dplyr", "ggplot2"))
 ```
 
 Alternatively, you can install the packages using RStudio's graphical user interface by going to `Tools > Install Packages` and typing the names of the packages separated by a comma.
@@ -102,7 +102,8 @@ When the installation has finished, you can try to load the packages by pasting
 ```r
 library(ratdat)
 library(reprex)
-library(tidyverse)
+library(dplyr)
+library(ggplot2)
 ```
 
 If you do not see an error like `there is no package called ‘...’` you are good to go! 

scripts/exploring_ratdat.R

@@ -1,6 +1,7 @@
 # Exploring the ratdat dataset
 library(ratdat)
-library(tidyverse)
+library(dplyr)
+library(ggplot2)
 head(complete_old)
 summary(complete_old)
 

scripts/ratdat_lubridate_toy_example.R

@@ -1,4 +1,5 @@
-library(tidyverse)
+library(dplyr)
+library(ggplot2)
 library(lubridate)
 library(ratdat)
 rat_data <- ratdat::complete