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DataCombine (version 0.2.9)

Tools for Easily Combining and Cleaning Data Sets

Description

Tools for combining and cleaning data sets, particularly with grouped and time series data.

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Version

Install

install.packages('DataCombine')

Monthly Downloads

90

Version

0.2.9

License

GPL (>= 3)

Maintainer

Christopher Gandrud

Last Published

February 11th, 2015

Functions in DataCombine (0.2.9)

TimeFill

Creates a continuous Unit-Time-Dummy data frame from a data frame with Unit-Start-End times
SpreadDummy

Spread a dummy variable (1's and 0') over a specified time period and for specified groups
MoveFront

Move variables to the front of a data frame.
DropNA

Drop rows from a data frame with missing values on a given variable(s).
NaVar

Create new variable(s) indicating if there are missing values in other variable(s)
TimeExpand

Expands a data set so that it includes an observation for each time point in a sequence. Works with grouped data.
VarDrop

Drop one or more variables from a data frame.
InsertRow

Inserts a new row into a data frame
StartEnd

Find the starting and ending time points of a spell
shift

A function for creating lag and lead variables.
slide

A function for creating lag and lead variables, including for time-series cross-sectional data.
FillIn

A function for filling in missing values of a variable from one data frame with the values from another variable.
slideMA

Create a moving average for a period before or after each time point for a given variable
FindReplace

Replace multiple patterns found in a character string column of a data frame
PercChange

Calculate the percentage change from a specified lag, including withing group
dMerge

Merges 2 data frames and report/drop/keeps only duplicates.
grepl.sub

Subset a data frame if a specified pattern is found in a character string
shiftMA

Internal function for slideMA
rmExcept

Remove all objects from a workspace except those specified by the user.
FillDown

Fills in missing (NA) values with the previous non-missing value
CountSpell

Count spells, including for grouped data