Open snystrom opened 5 years ago
8 days, 1.5 hr each.
Need students to use ? function to read documentation for how things work.
?
before class students will create github account to access lessons & login to rstudio cloud.
Intro (Day 1)
install.packages("tidyverse")
Plotting (Day 2)
<-
p + ggtitle('test')
Data Manipulation (Day 3)
filter
mutate
select
group_by
summarize
Can we combine data import & tidying?
Data import & Export (Day 4)
Alternative: Tidy data (Day 4)
Lists/vectors & looping
Now that students feel comfortable in R environment we'll dig into programming a bit more
2019 Plan:
8 days, 1.5 hr each.
Need students to use
?
function to read documentation for how things work.before class students will create github account to access lessons & login to rstudio cloud.
Part1: Data analysis
Intro (Day 1)
install.packages("tidyverse")
Plotting (Day 2)
<-
p + ggtitle('test')
Data Manipulation (Day 3)
filter
,mutate
,select
group_by
,summarize
Can we combine data import & tidying?
Data import & Export (Day 4)
Alternative: Tidy data (Day 4)
Lists/vectors & looping
Part 2: Programing?
Now that students feel comfortable in R environment we'll dig into programming a bit more
2018 Schedule:
2018 Schedule: