Tidyverse is a collection of R packages developed for data science

• tidyverse was initiated (and is to a large part programmed) by Hadley Wickham.

• It is continuously developed and heavily promoted by RStudio.
• The core idea is to implement (more) functional programming into R.
• All packages share an underlying design philosophy, grammar, and data structure.
• Although tidyverse is loved by many, there are also critics to it worth reading.
• Tidyverse can be installed through R (install.packages(“tidyverse”)).

An Example:

%>% takes the return of a function and pipes it to the next function.

# Without pipes (nested option):
kable(round(describe(select(dat, "iq", "age")), 2))

# or a second, better, alternative:
newdat <- select(dat, "iq", "age")
newdat <- describe(newdat)
newdat <- round(newdat, 2)
kable(newdat)

# And with pipes it looks like:
dat %>%
  select("iq", "age") %>%
  describe() %>%
  round(2) %>%
  kable()

Task

• Take the mtcars data set (included in base R).
• Apply the describe() function from the psych library (make sure you have installed psych).
• Round the values to the first decimal (Note: round() is your friend here).
• Use pipes %>% to do this all.
• … and don’t forget to activate the tidyverse library :-)

:-)