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Fix pipeline when barrier column is all NAs #1346

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merged 1 commit into from
Oct 29, 2021
Merged

Fix pipeline when barrier column is all NAs #1346

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27 changes: 20 additions & 7 deletions facebook/delphiFacebook/R/variables.R
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Original file line number Diff line number Diff line change
Expand Up @@ -625,9 +625,15 @@ code_vaccines <- function(input_data, wave) {
if ( all(c("V15a", "V15b") %in% names(input_data)) ) {
# introduced in Wave 11
vaccine_barriers <- coalesce(input_data$V15a, input_data$V15b)
vaccine_barriers <- ifelse(vaccine_barriers == "13", NA, vaccine_barriers)
vaccine_barriers <- split_options(vaccine_barriers)


# 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
if (any(!is.na(vaccine_barriers))) {
vaccine_barriers <- ifelse(vaccine_barriers == "13", NA_character_, 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")
input_data$v_vaccine_barrier_appointment_time <- is_selected(vaccine_barriers, "3")
Expand Down Expand Up @@ -685,12 +691,19 @@ code_vaccines <- function(input_data, wave) {
input_data$v_vaccine_barrier_type_has <- NA
input_data$v_vaccine_barrier_none_has <- NA
}

if ( "V15b" %in% names(input_data) ) {
# introduced in Wave 11
vaccine_barriers <- ifelse(input_data$V15b == "13", NA, input_data$V15b)
vaccine_barriers <- split_options(vaccine_barriers)

# 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
if (any(!is.na(input_data$V15b))) {
vaccine_barriers <- ifelse(input_data$V15b == "13", NA, input_data$V15b)
vaccine_barriers <- split_options(vaccine_barriers)
} else {
vaccine_barriers <- input_data$V15b
}

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")
input_data$v_vaccine_barrier_appointment_time_tried <- is_selected(vaccine_barriers, "3")
Expand Down