Tools for Splitting, Applying and Combining Data

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Documentation for package ‘plyr’ version 1.8.6

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. 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.