plyr: Tools for Splitting, Applying and Combining Data

> library(plyr)
-------------------------------------------------------------------------
You have loaded plyr after dplyr - this is likely to cause problems.
If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
library(plyr); library(dplyr)
-------------------------------------------------------------------------

Attaching package: 'plyr'
The following objects are masked from 'package:dplyr':

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

バージョン: 1.8.4


関数名 概略
. Quote variables to create a list of unevaluated expressions for later evaluation.
a_ply Split array, apply function, and discard results.
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.
baseball Yearly batting records for all major league baseball players
colwise Column-wise function.
count Count the number of occurences.
create_progress_bar Create progress bar.
d_ply Split data frame, apply function, and discard results.
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.
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.
join Join two data frames together.
join_all Recursively join a list of data frames.
l_ply Split list, apply function, and discard results.
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.
m_ply Call function with arguments in array or data frame, discarding 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.
name_rows Toggle row names between explicit and implicit.
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.
r_ply Replicate expression and discard results.
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.
splat 'Splat' arguments to a function.
strip_splits Remove splitting variables from a data frame.
summarise Summarise a data frame.
take Take a subset along an arbitrary dimension
vaggregate Vector aggregate.