DataCombine is a set of miscellaneous tools intended to make combining data sets--especially time-series cross-section data--easier. The package is continually being developed as I turn lines of code that I frequently use into single functions. It currently includes the following functions:
dMerge: merges 2 data frames and report/drop/keeps only duplicates.
DropNA: drops rows from a data frame when they have missing (NA) values on a given variable(s).
FillIn: fills in missing values of a variable from one data frame with the values from another variable.
FindReplace: replaces multiple patterns found in a character string column of a data frame.
grepl.sub: subsets a data frame if a specified pattern is found in a character string.
MoveFront: moves variables to the front of a data frame. This can be useful if you have a data frame with many variables and want to move a variable or variables to the front.
PercChange: calculates the percentage change from a specified lag, including within groups.
shift: creates lag and lead variables, including for time-series cross-sectional data. The shifted variable is returned to a new vector. This function is largely based on TszKin Julian's
slide: creates lag and lead variables, including for time-series cross-sectional data. The slid variable are added to the original data frame. This expands the capabilities of
rmExcept: removes all objects from a workspace except those specified by the user.
TimeFill: creates a continuous
Dummy data frame from a data frame with
VarDrop: drops one or more variables from a data frame.
I will continue to add to the package as I build data sets and run across other pesky tasks I do repeatedly that would be simpler if they were a function.
DataCombine is on CRAN.
You can also install the most recent stable version with
install_github from the devtools: