mmiche/esmprep: Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)
Version 0.1.6

Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.

Getting started

Package details

AuthorMarcel Miché <[email protected]>
Date of publication2018-06-27 09:05:58 CEST
MaintainerMarcel Miché <[email protected]>
LicenseGPL (>=2)
Version0.1.6
URL https://github.com/mmiche/esmprep
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mmiche/esmprep")
mmiche/esmprep documentation built on July 9, 2018, 11:27 a.m.