Learn R Programming

⚠️There's a newer version (0.7.6) of this package.Take me there.

statar (version 0.2)

Tools Inspired by Stata to Manipulate Tabular Data

Description

Tools inspired by Stata for tabular datasets. It includes a set of functions to summarize and tabulate datasets, to join datasets using an SQL-syntax, to manipulate datasets with a panel structure (elapsed dates, lead/lag, rolling functions, fill in missing values based on previous dates, add rows for missing dates).

Copy Link

Version

Install

install.packages('statar')

Monthly Downloads

718

Version

0.2

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/matthieugomez/statar

Maintainer

Matthieu Gomez

Last Published

June 3rd, 2015

Functions in statar (0.2)

Demean a vector

Keep only certain columns in place

Elapsed dates (monthly, quarterly)

String and expression interpolation

Create new data.table after discarding certain rows

compute_distance

Find minimum distance of each word to other groups

Bin a numeric vector and return integer codes for the binning (corresponds to Stata command xtile)

Add rows corresponding to gaps in some variable

select variables in a data.frame

Create unique names within a list, a data.frame, or an environment

Join two data.tables together

Create new data.table by keeping only certain columns (equivalent to dplyr::select)

count_combinations

Find best string combinations that identify an id

Returns cross tabulation

Create a new data.table by discarding certain columns

Fuzzy join two data.tables together

find_duplicates

returns a data.frame with duplicated rows

Apply rolling functions within time intervals

Experimental function to graph a dataset

Create new data.table by keeping only certain rows(equivalent to dplyr::filter)

Winsorize a numeric vector

floor_date Round date-times down.

Gives summary statistics (corresponds to Stata command summarize)

discard certain columns in place

Check whether data.table is a panel data

lead and lag with respect to a time variable

fill NA in place based on non missing observations

Creates a vector of zero except for one subscript

A package for applied research