Tools for splitting, applying and combining data

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Documentation for package ‘plyr’ version 0.1.1

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. Quote variables
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
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
compact Compact list
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
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
laply Split list, apply function, and return results in an array
ldply Split list, apply function, and return results in a data frame
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
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
m_ply Call function with arguments in array or data frame, discarding results
ninteraction Numerical interaction
numcolwise Column-wise function
ozone Monthly ozone measurements over Central America
print.split Print split
progress_none Null progress bar
progress_text Text progress bar
progress_tk Graphical progress bar, powered by Tk
progress_win Graphical progress bar, powered by Windows
quoted Quote variables
raply Replicate expression and return results in a array
rbind.fill Combine objects by row, filling in missing columns
rdply Replicate expression and return results in a data frame
rlply Replicate expression and return results in a list
r_ply Replicate expression and discard results
splat ‘Splat’ arguments to a function
splitter_a Split an array by .margins
splitter_d Split a data frame by variables
unrowname Un-rowname
[.split Subset splits