$
sort
order
max
which.max
rank
which
match
%in%
plot
hist
boxplot
image
mutate
filter
select
|>
%>%
summarize
group_by
pull
tibble
data.frame
case_when
between
ggplot
qplot
facet_wrap
lm
pivot_longer
pivot_wider
separate
unite
setdiff
setequal
\s
*
?
+
extract
train
predict
apply
ls
mkdir
rmdir
cd
mv
cp
rm
less
Rafael A. Irizarry
This is the website for the first edition of Introduction to Data Science. This book is now out-of-date. We recommend using the second edition which is now divided into two parts:
Data Wrangling and Visualization with R.
Statistics and Prediction Algorithms Through Case Studies.