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plyr (version 1.5.2)

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. The development of plyr has been generously supported by BD (Becton Dickinson).

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Version

Install

install.packages('plyr')

Monthly Downloads

462,444

Version

1.5.2

License

MIT

Maintainer

Hadley Wickham

Last Published

April 24th, 2011

Functions in plyr (1.5.2)

Convert input to quoted variables.

Graphical progress bar, powered by Windows.

Text progress bar.

Join two data frames together.

Null progress bar...

Experimental iterator based version of llply.

Summarise a data frame.

Count the number of occurences.

An indexed array.

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

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

Replicate expression and return results in a list.

Split an array by...

Dimension names.

Print quoted variables.

Column-wise function.

Split a data frame by variables.

Numeric id for a vector.

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

Fail with specified value.

`Splat' arguments to a function.

Function that always returns true.

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

Descending order.

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

An indexed data frame.

list_to_dataframe

List to data frame.

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

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

Generate labels for split data frame.

Modify names by name, not position.

Quick data frame.

Split data frame, apply function, and discard results.

Replicate expression and return results in a array.

Try, with default in case of error.

List to vector.

Evaluate a quoted list of variables.

Convert split list to regular list.

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

Construct an immutable data frame.

Graphical progress bar, powered by Tk.

Quote variables to create a list of unevaluated expressions for later...

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

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

Apply with built in try.

Extract matching rows of a data frame.

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

as.data.frame.function

Make a function return a data frame.

Determine if a vector is discrete.

Vector aggregate.

Number of dimensions.

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

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

Split iterator that returns values, not indices.

Split array, apply function, and discard results.

Replicate expression and return results in a data frame.

Reduce dimensions.

Check if a data frame is empty.

Number of unique values.

rbind.fill.matrix

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

Combine data...

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

Round to multiple of any number.

create_progress_bar

Create progress bar.

Aggregate multiple functions into a single function.

Order a data frame by its colums.

Compute names of quoted variables.

Remove splitting variables from a data frame.

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

Split list, apply function, and discard results.

Replicate expression and discard results.