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[CTIS] Make split_options return list of character missing if all input values are NA #1446

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Merged
merged 3 commits into from
Jan 10, 2022
Merged

[CTIS] Make split_options return list of character missing if all input values are NA #1446

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626e55e
split_options returns NA if all input is NA
nmdefries Jan 3, 2022
e82b934
remove na-checking logic
nmdefries Jan 4, 2022
2214a30
make split_options input and output more regular
nmdefries Jan 5, 2022
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20 changes: 7 additions & 13 deletions facebook/delphiFacebook/R/variables.R
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,11 @@
#' @return list of same length, each entry of which is a vector of selected
#' options
split_options <- function(column) {
return(strsplit(column, ",", fixed = TRUE))
if ( any(!is.na(column)) ) {
return(strsplit(column, ",", fixed = TRUE))
} else {
return(rep(NA_character_, length(column)))
}
}

#' Test if a specific selection is selected
Expand Down Expand Up @@ -649,15 +653,10 @@ code_vaccines <- function(input_data, wave) {
# introduced in Wave 11
vaccine_barriers <- coalesce(input_data$V15a, input_data$V15b)

# If the entire column is NA, ifelse() results in a logical vector, not a
# character vector, which confuses split_options; since the result should be
# NA anyway
vaccine_barriers <- as.character(
ifelse(vaccine_barriers == "13", NA_character_, vaccine_barriers)
)
if (any(!is.na(vaccine_barriers))) {
vaccine_barriers <- split_options(vaccine_barriers)
}
vaccine_barriers <- split_options(vaccine_barriers)

input_data$v_vaccine_barrier_eligible <- is_selected(vaccine_barriers, "1")
input_data$v_vaccine_barrier_no_appointments <- is_selected(vaccine_barriers, "2")
Expand Down Expand Up @@ -769,15 +768,10 @@ code_vaccines <- function(input_data, wave) {

if ( "V15b" %in% names(input_data) ) {
# introduced in Wave 11
# If the entire column is NA, ifelse() results in a logical vector, not a
# character vector, which confuses split_options; since the result should be
# NA anyway
vaccine_barriers <- as.character(
ifelse(input_data$V15b == "13", NA, input_data$V15b)
)
if (any(!is.na(vaccine_barriers))) {
vaccine_barriers <- split_options(vaccine_barriers)
}
vaccine_barriers <- split_options(vaccine_barriers)

input_data$v_vaccine_barrier_eligible_tried <- is_selected(vaccine_barriers, "1")
input_data$v_vaccine_barrier_no_appointments_tried <- is_selected(vaccine_barriers, "2")
Expand Down