randomMultSelection: randomMultSelection

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

Description

randomMultSelection selects ESM questionnaires randomly as specified by the user.

Usage

randomMultSelection(esDf)

Arguments

esDf	a data.frame. A single ESM dataset. It must contain the 2 columns that hold the date-time object for when an ESM questionnaire was started and finished, respectively.

Details

If randomMultSelection has to be applied it should better be applied only once at the very end of the study. Otherwise the randomness of the selection no longer holds.

Value

The user receives a list containing 2 datasets:

1. esRandSelIn, i.e. the ESM dataset with the lines of data, of which some had to be randomly selected

2. esRandSelOut, i.e. the lines of data that had to be randomly removed.

See Details for more information.

See Also

Exemplary code (fully executable) in the documentation of esmprep (function 25 of 29).

Examples

# o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o
# Prerequisites in order to execute randomMultSelection. Start ------
# RELEVANTINFO_ES is delivered with the package
intoleranceDf <- data.frame(prompt = c(2, 3, 4, 1, 1),
expect = c(1, 1, 1, 2, 3))
# expectedDf is a raw ESM dataset, delivered with the package.
intolLs <- intolerable(expectedDf, intoleranceDf, RELEVANTINFO_ES)
# Prerequisites in order to execute randomMultSelection. End --------
# -------------------------------------------------------
# Run function 25 of 29; see esmprep functions' hierarchy.
# -------------------------------------------------------
# intolLs[["cleanedDf"]] is the result of function 'intolerable'.
randSelLs <- randomMultSelection(intolLs[["cleanedDf"]])
# o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o=o

mmiche/esmprep documentation built on July 7, 2019, 8:23 p.m.