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

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 <esmprep@gmail.com>
MaintainerMarcel Miché <esmprep@gmail.com>
LicenseGPL (>=2)
Version0.2.0
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("remotes")
remotes::install_github("mmiche/esmprep")
mmiche/esmprep documentation built on July 7, 2019, 8:23 p.m.