rescale_informed_4: Rescale 4-level informedness level

Description Usage Arguments Examples

Description

Rescale Eurobarometer 4-level informedness level, "Very well informed" and "Fairly well informed" and "Not very well informed", "Not at all informed". This is a wrapper function around the rescale_categories function.

Usage

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rescale_informed_4(column, from = c("Very well informed",
  "Fairly well informed", "Not very well informed", "Not at all informed"),
  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 the level of informnedss is recorded.

from

Defaults "Very well informed", "Fairly well informed" and "Not very well informed", "Not at all informed".

to

Defaults to c(2,1,-1,-2). If return_class = "character" or return_class = "factor" is selected it returns the abbreviated category names c("very_informed", "informed", "not_well_informed", "not_informed").

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_optimism_4  (column =
c("Very well informed",
  "Fairly well informed",
  "Not very well informed",
  "Not at all informed",
  "DK", "NT/NV"),
na_labels = "default",
return_class = "character")

rescale_optimism_4  (column =
                     c("Very well informed",
                     "Fairly well informed",
                     "Not very well informed",
                     "Not at all informed",
                     "DK", "NT/NV"),
                     na_labels = "default",
                     return_class = "numeric")

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