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.

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Description file content

Package
esmprep
Type
Package
Version
0.1.4
Date/Publication
2018-04-18 12:00:32 UTC
Title
Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)
Description
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.
Author
Marcel Miché
Maintainer
Marcel Miché
Depends
R (>= 3.2)
Imports
lubridate (>= 1.6.0)
License
GPL (>= 2)
Repository
CRAN
URL
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2018-04-18 10:09:07 UTC; mmiche

install.packages('esmprep')

0.1.4

2 months ago

https://github.com/mmiche/esmprep

Marcel Miché

GPL (>= 2)

Depends on

R (>= 3.2)

Imports

lubridate (>= 1.6.0)

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