datastepr: An Implementation of a SAS-Style Data Step
Version 0.0.2

Based on a SAS data step. This allows for row-wise dynamic building of data, iteratively importing slices of existing dataframes, conducting analyses, and exporting to a results frame. This is particularly useful for differential or time-series analyses, which are often not well suited to vector- based operations.

AuthorBrandon Taylor
Date of publication2016-08-20 10:31:35
MaintainerBrandon Taylor <brandon.taylor221@gmail.com>
LicenseCC0
Version0.0.2
URL https://github.com/bramtayl/datastepr
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("datastepr")

Getting started

README.md
Data Stepping"

Popular man pages

dataStepClass: An implementation of a SAS datastep in a class
toDf: Append an object to a dataframe.
toEnv: Append an object to an environment
See all...

All man pages Function index File listing

Man pages

dataStepClass: An implementation of a SAS datastep in a class
toDf: Append an object to a dataframe.
toEnv: Append an object to an environment

Functions

Files

inst
inst/doc
inst/doc/datastepping.html
inst/doc/datastepping.Rmd
inst/doc/datastepping.R
tests
tests/testthat.R
tests/testthat
tests/testthat/test.R
NAMESPACE
R
R/datastepr.R
vignettes
vignettes/datastepping.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/toEnv.Rd
man/dataStepClass.Rd
man/toDf.Rd
datastepr documentation built on May 19, 2017, 2:30 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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