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plyr (version 1.4.1)

Tools for splitting, applying and combining data

Description

plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of plyr has been generously supported by BD (Becton Dickinson).

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Version

Install

install.packages('plyr')

Monthly Downloads

462,768

Version

1.4.1

License

MIT

Maintainer

Hadley Wickham

Last Published

April 5th, 2011

Functions in plyr (1.4.1)

Dimension names.

Split array, apply function, and return results in an array.

Immutable df subsetting...

Convert split list to regular list.

Call function with arguments in array or data frame, returning an array.

Split data frame, apply function, and return results in an array.

Number of dimensions.

Count the number of occurences.

Column-wise function.

Fail with specified value.

Split list, apply function, and discard results.

Split array, apply function, and return results in a data frame.

Call function with arguments in array or data frame, returning a data frame.

Check if a data frame is empty.

Split data frame, apply function, and discard results.

Split list, apply function, and return results in a data frame.

Graphical progress bar, powered by Windows.

Split data frame, apply function, and return results in a data frame.

Immutable df names.

Number of unique values.

Quick data frame.

Immutable df dimensions.

list_to_dataframe

List to data frame.

Split an array by...

Null progress bar...

Replicate expression and return results in a data frame.

Compute names of quoted variables.

Try, with default in case of error.

Order a data frame by its colums.

Generate labels for split data frame.

Numeric id for a vector.

Quote variables.

Replicate expression and return results in a list.

Split array, apply function, and discard results.

Combine data...

Print quoted variables.

Aggregate multiple functions into a single function.

as.data.frame.function

Make a function return a data frame.

List to vector.

Descending order.

Apply with built in try.

Join two data frames together.

Extract single column from immutable data frame.

Graphical progress bar, powered by Tk.

Summarise a data frame.

Replicate expression and discard results.

Experimental iterator based version of llply.

Determine if a vector is discrete.

Convert input to quoted variables.

Split list, apply function, and return results in an array.

Call function with arguments in array or data frame, returning a list.

Split a data frame by variables.

rbind.fill.matrix

Bind matrices by row, and fill missing columns with NA.

An indexed array.

An indexed data frame.

A unique numeric id for each unique row in a data frame.

`Splat' arguments to a function.

Function that always returns true.

Vector aggregate.

as.data.frame.idf

Convert immutable df to regular data frame.

Evaluate a quoted list of variables.

Split iterator that returns values, not indices.

Split list, apply function, and return results in a list.

Mutate a data frame by adding new columns or replacing existing.

Round to multiple of any number...

Reduce dimensions.

Call function with arguments in array or data frame, discarding results.

create_progress_bar

Create progress bar.

Replicate expression and return results in a array.

Split data frame, apply function, and return results in a list.

Split array, apply function, and return results in a list.

Construct an immutable data frame.

Text progress bar.

Baseball batting

Yearly batting records for all major league baseball players

Ozone measurements

Monthly ozone measurements over Central America