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plyr (version 1.6)

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

1.6

License

MIT

Maintainer

Hadley Wickham

Last Published

July 29th, 2011

Functions in plyr (1.6)

as.data.frame.function

Make a function return a data frame.

Descending order.

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

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

Column-wise function.

Count the number of occurences.

Join keys. Given two data frames, create a unique key for each row.

Dimension names.

Fail with specified value.

Join two data frames together.

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

Split iterator that returns values, not indices.

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

Null progress bar

Number of dimensions.

Number of unique values.

Numeric id for a vector.

Experimental iterator based version of llply.

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

create_progress_bar

Create progress bar.

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

An indexed array.

Convert split list to regular list.

An indexed data frame.

Check if a data frame is empty.

Split array, apply function, and discard results.

Order a data frame by its colums.

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

Is a formula? Checks if argument is a formula

Convert input to quoted variables.

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

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

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

Extract matching rows of a data frame.

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

Determine if a vector is discrete.

Print quoted variables.

Replicate expression and discard results.

Function that always returns true.

Quick data frame.

Generate labels for split data frame.

Summarise a data frame.

Graphical progress bar, powered by Windows.

Split data frame, apply function, and discard results.

Remove splitting variables from a data frame.

Replicate expression and return results in a list.

rbind.fill.matrix

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

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

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

Reduce dimensions.

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

Round to multiple of any number.

Modify names by name, not position.

Split a data frame by variables.

Replicate expression and return results in a array.

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

Combine data.frames by row, filling in missing columns.

Vector aggregate.

Split an array by .margins.

Monthly ozone measurements over Central America.

Try, with default in case of error.

list_to_dataframe

List to data frame.

Compute names of quoted variables.

Yearly batting records for all major league baseball players

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

Apply with built in try. Uses compact, lapply and tryNULL

`Splat' arguments to a function.

Graphical progress bar, powered by Tk.

Evaluate a quoted list of variables.

Text progress bar.

List to vector.

Aggregate multiple functions into a single function.

Split list, apply function, and discard results.

Replicate expression and return results in a data frame.

Construct an immutable data frame.