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DataCombine (version 0.2.18)
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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Install
install.packages('DataCombine')
Monthly Downloads
2,077
Version
0.2.18
License
GPL (>= 3)
Maintainer
Christopher Gandrud
Last Published
December 24th, 2015
Functions in DataCombine (0.2.18)
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TimeFill
Creates a continuous Unit-Time-Dummy data frame from a data frame with Unit-Start-End times
FillDown
Fills in missing (NA) values with the previous non-missing value
TimeExpand
Expands a data set so that it includes an observation for each time point in a sequence. Works with grouped data.
change
Calculate the changes (absolute, percent, and proportion) changes from a specified lag, including within groups
slide
A function for creating lag and lead variables, including for time-series cross-sectional data.
shiftMA
Internal function for slideMA
slideMA
Create a moving average for a period before or after each time point for a given variable
dMerge
Merges 2 data frames and report/drop/keeps only duplicates.
VarDrop
Drop one or more variables from a data frame.
rmExcept
Remove all objects from a workspace except those specified by the user.
shift
A function for creating lag and lead variables.
InsertRow
Inserts a new row into a data frame
MoveFront
Move variables to the front of a data frame.
NaVar
Create new variable(s) indicating if there are missing values in other variable(s)
StartEnd
Find the starting and ending time points of a spell
CountSpell
Count spells, including for grouped data
FillIn
A function for filling in missing values of a variable from one data frame with the values from another variable.
DropNA
Drop rows from a data frame with missing values on a given variable(s).
FindReplace
Replace multiple patterns found in a character string column of a data frame
SpreadDummy
Spread a dummy variable (1's and 0') over a specified time period and for specified groups
FindDups
Find duplicated values in a data frame and subset it to either include or not include them.
PercChange
Calculate the percentage change from a specified lag, including within groups
grepl.sub
Subset a data frame if a specified pattern is found in a character string