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plyr (version 1.0.2)

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.

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Version

Install

install.packages('plyr')

Monthly Downloads

358,508

Version

1.0.2

License

MIT

Maintainer

Hadley Wickham

Last Published

July 6th, 2010

Functions in plyr (1.0.2)

as.data.frame.function

Make a function return a data frame.

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

Immutable df subsetting...

Split list, apply function, and discard results.

Convert input to quoted variables.

Descending order.

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

Convert split list to regular list.

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

Immutable df dimensions.

Immutable df names.

Column-wise function.

Apply with built in try.

Count the number of occurences.

Evaluate a quoted list of variables.

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

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

Fail with specified value.

Order a data frame by its colums.

Split iterator that returns values, not indices.

Try, with default in case of error.

list_to_dataframe

List to data frame.

Split a data frame by variables.

Extract single column from immutable data frame.

Replicate expression and return results in a array.

Text progress bar.

Dimension names.

Reduce dimensions.

Aggregate multiple functions into a single function.

An indexed data frame.

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

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

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

Join two data frames together.

rbind.fill.matrix

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

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

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

Replicate expression and return results in a data frame.

Summarise a data frame.

Replicate expression and discard results.

List to vector.

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

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

`Splat' arguments to a function.

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

Number of dimensions.

Add margins to a data frame.

Numeric id for a vector.

Determine if a vector is discrete.

Combine data...

Experimental iterator based version of llply.

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

Null progress bar...

Graphical progress bar, powered by Windows.

Compute names of quoted variables.

Print quoted variables.

Quote variables.

Graphical progress bar, powered by Tk.

as.data.frame.idf

Convert immutable df to regular data frame.

Check if a data frame is empty.

Function that always returns true.

Figure out margining variables.

Split an array by...

Quick data frame.

Number of unique values.

An indexed array.

Generate labels for split data frame.

Split data frame, apply function, and discard results.

Replicate expression and return results in a list.

Split array, apply function, and discard results.

create_progress_bar

Create progress bar.

Construct an immutable data frame.