Remove value labels and missing tags.

Remove meta data for specific values (value) of a single variable (varName). This includes value labels and missings tags.

Usage

removeValLabels(GADSdat, varName, value, valLabel = NULL)

Arguments

GADSdat

GADSdat object imported via eatGADS.

varName

Character string of a variable name.

value

Numeric values.

valLabel

[optional] Regular expressions in the value labels corresponding to value.

Value

Returns the GADSdat object with changed meta data.

Details

If the argument valLabel is provided the function checks for value and valLabel pairs in the meta data that match both arguments.

Examples

# Remove a label based on value
extractMeta(pisa, "schtype")
#>   varName     varLabel format display_width labeled value
#> 5 schtype School track   F8.0            NA     yes     1
#> 6 schtype School track   F8.0            NA     yes     2
#> 7 schtype School track   F8.0            NA     yes     3
#>                                    valLabel missings
#> 5                Gymnasium (academic track)    valid
#> 6                                Realschule    valid
#> 7 schools with several courses of education    valid
pisa2 <- removeValLabels(pisa, varName = "schtype", value = 1)
extractMeta(pisa2, "schtype")
#>   varName     varLabel format display_width labeled value
#> 6 schtype School track   F8.0            NA     yes     2
#> 7 schtype School track   F8.0            NA     yes     3
#>                                    valLabel missings
#> 6                                Realschule    valid
#> 7 schools with several courses of education    valid

# Remove multiple labels based on value
extractMeta(pisa, "schtype")
#>   varName     varLabel format display_width labeled value
#> 5 schtype School track   F8.0            NA     yes     1
#> 6 schtype School track   F8.0            NA     yes     2
#> 7 schtype School track   F8.0            NA     yes     3
#>                                    valLabel missings
#> 5                Gymnasium (academic track)    valid
#> 6                                Realschule    valid
#> 7 schools with several courses of education    valid
pisa3 <- removeValLabels(pisa, varName = "schtype", value = 1:3)
extractMeta(pisa3, "schtype")
#>   varName     varLabel format display_width labeled value valLabel missings
#> 5 schtype School track   F8.0            NA      no    NA     <NA>     <NA>

# Remove multiple labels based on value - valLabel combination
extractMeta(pisa, "schtype")
#>   varName     varLabel format display_width labeled value
#> 5 schtype School track   F8.0            NA     yes     1
#> 6 schtype School track   F8.0            NA     yes     2
#> 7 schtype School track   F8.0            NA     yes     3
#>                                    valLabel missings
#> 5                Gymnasium (academic track)    valid
#> 6                                Realschule    valid
#> 7 schools with several courses of education    valid
pisa4 <- removeValLabels(pisa, varName = "schtype",
                        value = 1:3, valLabel = c("Gymnasium", "other", "several courses"))
extractMeta(pisa4, "schtype")
#>   varName     varLabel format display_width labeled value   valLabel missings
#> 6 schtype School track   F8.0            NA     yes     2 Realschule    valid