Let’s start at the very beginning…
Researchers who are interested in open science, replication, and reproducibility often use R. But how did they learn it? Research methods courses are typically not taught in R. If you are not terribly familiar with coding in general, teaching yourself how to code in R is a big task, and doing it by yourself is lonely and frustrating.
If you have been thinking of trying R but been scared of “writing code”, this session is for you. Join folks from R-Ladies and start your journey towards reproducible analysis. You will learn how to find your way around RStudio, get your OWN data into R, clean it up a little, and generate some summary stats and plots.
here
package to avoid filepath dramareadr
packagejanitor
packagetidyr
skimr
and dplyr
ggplot
But perhaps most importantly, we will show you how to use google to find solutions to your R problems and how to recognise when your google search has found a solution.
Bring a datafile (preferably in .csv format but .sav, .xls, .sas are also fine) that you would like to work with in R.