Tools for Splitting, Applying and Combining Data

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Documentation for package ‘plyr’ version 1.8.8

• DESCRIPTION file.

Help Pages

.	Quote variables to create a list of unevaluated expressions for later evaluation.
aaply	Split array, apply function, and return results in an array.
adply	Split array, apply function, and return results in a data frame.
alply	Split array, apply function, and return results in a list.
arrange	Order a data frame by its colums.
as.data.frame.function	Make a function return a data frame.
as.quoted	Convert input to quoted variables.
a_ply	Split array, apply function, and discard results.
baseball	Yearly batting records for all major league baseball players
catcolwise	Column-wise function.
colwise	Column-wise function.
count	Count the number of occurences.
create_progress_bar	Create progress bar.
daply	Split data frame, apply function, and return results in an array.
ddply	Split data frame, apply function, and return results in a data frame.
defaults	Set defaults.
desc	Descending order.
dlply	Split data frame, apply function, and return results in a list.
d_ply	Split data frame, apply function, and discard results.
each	Aggregate multiple functions into a single function.
failwith	Fail with specified value.
here	Capture current evaluation context.
idata.frame	Construct an immutable data frame.
is.quoted	Quote variables to create a list of unevaluated expressions for later evaluation.
join	Join two data frames together.
join_all	Recursively join a list of data frames.
laply	Split list, apply function, and return results in an array.
ldply	Split list, apply function, and return results in a data frame.
liply	Experimental iterator based version of llply.
llply	Split list, apply function, and return results in a list.
l_ply	Split list, apply function, and discard results.
maply	Call function with arguments in array or data frame, returning an array.
mapvalues	Replace specified values with new values, in a vector or factor.
match_df	Extract matching rows of a data frame.
mdply	Call function with arguments in array or data frame, returning a data frame.
mlply	Call function with arguments in array or data frame, returning a list.
mutate	Mutate a data frame by adding new or replacing existing columns.
m_ply	Call function with arguments in array or data frame, discarding results.
name_rows	Toggle row names between explicit and implicit.
numcolwise	Column-wise function.
ozone	Monthly ozone measurements over Central America.
plyr	plyr: the split-apply-combine paradigm for R.
plyr-deprecated	Deprecated Functions in Package plyr
progress_text	Text progress bar.
progress_time	Text progress bar with time.
progress_tk	Graphical progress bar, powered by Tk.
progress_win	Graphical progress bar, powered by Windows.
quoted	Quote variables to create a list of unevaluated expressions for later evaluation.
raply	Replicate expression and return results in a array.
rbind.fill	Combine data.frames by row, filling in missing columns.
rbind.fill.matrix	Bind matrices by row, and fill missing columns with NA.
rdply	Replicate expression and return results in a data frame.
rename	Modify names by name, not position.
revalue	Replace specified values with new values, in a factor or character vector.
rlply	Replicate expression and return results in a list.
round_any	Round to multiple of any number.
r_ply	Replicate expression and discard results.
splat	'Splat' arguments to a function.
strip_splits	Remove splitting variables from a data frame.
summarise	Summarise a data frame.
summarize	Summarise a data frame.
take	Take a subset along an arbitrary dimension
vaggregate	Vector aggregate.