rescale_effective_4: Rescale 4-level effectiveness evaluation level

Description Usage Arguments Examples

Description

Rescale Eurobarometer 4-level effectiveness evaluation, i.e. "Very effective" and "Fairly effective" and "Not very effective", "Not at all effective". This is a wrapper function around the rescale_categories function.

Usage

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rescale_effective_4(column, from = c("Very effective", "Fairly effective",
  "Not very effective", "Not at all effective"), to = c(2, 1, -1, -2),
  na_labels = "default", underscore = TRUE, exact_from = TRUE,
  return_class = "numeric")

Arguments

column

A column from a survey data frame where level of effectiveness is being evaluated.

from

Defaults "Very effective", "Fairly effective" and "Not very effective", "Not at all effective".

to

Defaults to c(2,1,-1,-2). If return_class = "character" or return_class = "factor" is selected it returns the abbreviated category names ("very_effective", "fairly_effective", "not_very_effective", "not_effective").

na_labels

Defaults to "default".

underscore

Defaults to TRUE in which case factor names or character strings contain underscore_between_words. This is a better approach for further programming, but you can choose FALSE for nicer printing results. See examples.

exact_from

Deafults to TRUE. If FALSE you can use the partial matching, but beware that in this case, "twenty" will be replaced by

return_class

Default is "numeric", alternatives "character" or "factor".

Examples

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rescale_effective_4 (column =
c("Very effective",
  "Fairly effective",
  "Not very effective",
  "Not at all effective",
  "DK", "NT/NV"),
na_labels = "default",
return_class = "character")

rescale_effective_4  (column =
                     c("Very effective",
                     "Fairly effective",
                     "Not very effective",
                     "Not at all effective",
                     "DK", "NT/NV"),
                     na_labels = "default",
                     return_class = "numeric")

antaldaniel/surveyreader documentation built on May 16, 2019, 2:29 a.m.