INTRO_R_2023

This is an introductory R course for ISU

How to install R and R studio

1. Install R first -- download the version for your computer from - https://cran.r-project.org/ - This is the guts of the system and I refer to it as Base R

2. Then install R studio from - https://posit.co/download/rstudio-desktop/ - Note that they have a link to R at the top as well

3. If you have a PC you will need to install RTools from - https://cran.r-project.org/bin/windows/Rtools/rtools42/rtools.html

4. Make sure you can start RStudio and that it opens on your computer - You should see something like this

5. If you are feeling really up for it you can click the green plus sign in the upper left and create a new script - - - - or you can click FILE -- OPEN and open the attached "install packages.R" file - - - -

6. 

7. 

8. Copy the following code from below and paste it into the upper left window or you can click FILE -- OPEN and open the attached "install packages.R" file

# # Libraries I use on a regular basis-----
install.packages("devtools") # install new things
install.packages("tidyverse") # dplyr and piping and ggplot etc
install.packages("lubridate") # dates and times
install.packages("scales") # scales on ggplot ases
install.packages("readxl") # read in excel files
install.packages("skimr") # quick summary stats
install.packages("janitor") # clean up excel imports
install.packages("patchwork") # arrange multiple plots per page

install.packages("ggThemeAssist") # helps reformat code - only run library one time
install.packages("styler") # helps style your code

# Run Once and in Addins ----
library(styler)
library(ggThemeAssist)

Run Once and appears in Addins ----

library(styler) library(ggThemeAssist) `

7. It should look like this

8. You can move the cursor to line 1 (a comment) and click the green run button in the upper right of the window or on a PC hold down the CTRL + RETURN Button or on a mac the COMMAND + RETURN button. This will install a lot of the packages we will run this term.

Class 1

• Make sure the libraries are installed and you know how

• Learn the basics of R

  • <- the assignment operator

  • How to save values, files and plots as objects in r

  • How to load a file

    • The point and click way

    • The code way - better

  • How look at a file and what it is made of

  • How to save a file

  • How to make a graph

  • How to save a graph

  • Given time we can do some fancy stuff with the graph.... ; ) he says this knowing that there is no way we will get there but I have dreams

• You assigned homework -

  • Take this code - rename the script file to your own name

  • Copy some of your data to the data directory

  • Revise the code - delete stuff and clean to get your data in 

  • Try to make a graph

  • We will want to see your graph in class - feel free to email it to me and I can show what cool stuff you were able to do!!!!

Class 2