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plyr (version 1.1)

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.

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Version

Install

install.packages('plyr')

Monthly Downloads

462,768

Version

1.1

License

MIT

Maintainer

Hadley Wickham

Last Published

July 24th, 2010

Functions in plyr (1.1)

Compute names of quoted variables.

Figure out margining variables.

List to vector.

Descending order.

Immutable df dimensions.

Quick data frame.

Experimental iterator based version of llply.

as.data.frame.idf

Convert immutable df to regular data frame.

Count the number of occurences.

Column-wise function.

Null progress bar...

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

Convert input to quoted variables.

Apply with built in try.

Split an array by...

Text progress bar.

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

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

Replicate expression and return results in a list.

Summarise a data frame.

Replicate expression and return results in a data frame.

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

Try, with default in case of error.

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

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

Immutable df subsetting...

list_to_dataframe

List to data frame.

Split iterator that returns values, not indices.

Check if a data frame is empty.

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

Construct an immutable data frame.

Function that always returns true.

Graphical progress bar, powered by Tk.

create_progress_bar

Create progress bar.

Determine if a vector is discrete.

Combine data...

Numeric id for a vector.

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

rbind.fill.matrix

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

Number of dimensions.

Replicate expression and discard results.

Convert split list to regular list.

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

Reduce dimensions.

Aggregate multiple functions into a single function.

Dimension names.

Quote variables.

Number of unique values.

Order a data frame by its colums.

Immutable df names.

Extract single column from immutable data frame.

Join two data frames together.

Split a data frame by variables.

Evaluate a quoted list of variables.

`Splat' arguments to a function.

Generate labels for split data frame.

Graphical progress bar, powered by Windows.

Split data frame, apply function, and discard results.

Split list, apply function, and discard results.

Add margins to a data frame.

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

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

Replicate expression and return results in a array.

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

Split array, apply function, and discard results.

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

An indexed data frame.

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

Print quoted variables.

Fail with specified value.

An indexed array.

as.data.frame.function

Make a function return a data frame.