read.table()
readr
dplyr
select()
filter()
arrange()
rename()
mutate()
group_by()
%>%
qplot()
if
else
for
while
repeat
next
break
...
lapply()
sapply()
split()
apply()
mapply()
traceback()
debug()
recover()
system.time()
summaryRprof()
colorRamp()
colorRampPalette()
smoothScatter()
mclapply()
boot
You can download a zip file of all the datasets used in this book:
All datasets [43 MB]