| recode_to_binary | R Documentation | 
Recodes a character variable into a binary result, a two-level factor.  All values matching of the supplied character strings in the to_match vector are coded into the first level of the factor; all other values are coded into the other level.  NA remains NA.  The default factor labels are "Selected"  and "Not selected" but these can be overridden.
This recoding is not case-sensitive; if you specify "agree" as a top-2 value, "Agree" will be counted as Top-2, and vice versa.
recode_to_binary(
  x,
  to_match = c("strongly agree", "agree"),
  label_matched = "Selected",
  label_unmatched = "Not selected"
)
| x | the character or factor vector to be recoded | 
| to_match | a character vector with the strings that should be put in the first level of the factor. Defaults to "strongly agree" and "agree" but can be overwritten. | 
| label_matched | what should be the factor label of values that match the strings specified in  | 
| label_unmatched | what should be the factor label of values that don't match the strings specified in  | 
a factor variable (for nicer ordering in calls to janitor::tabyl) with values mapped to the two levels.
agreement <- c(
  "Strongly agree", "Agree", "Somewhat agree",
  "Somewhat disagree", "Strongly disagree", "Frogs", NA
)
recode_to_binary(agreement) # default values of "strongly agree" and "agree" are used for recoding
recode_to_binary(agreement,
  label_matched = "Top-2 Agree",
  label_unmatched = "Not in Top-2"
) # custom labels of factor levels
recode_to_binary(agreement, "frogs")
recode_to_binary(
  agreement,
  "frogs",
  "FROGS!!!",
  "not frogs"
) # custom matching values & labels of factor levels
freq <- c("always", "often", "sometimes", "never")
recode_to_binary(freq, "always", "always", "less than always")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.