Computes the summary score mh_y_bpm_sum
Brief Problem Monitor [Youth]: Sum
Summarized variables:
mh_y_bpm__attn_001mh_y_bpm__attn_002mh_y_bpm__attn_003mh_y_bpm__attn_004mh_y_bpm__attn_005mh_y_bpm__attn_006mh_y_bpm__ext_001mh_y_bpm__ext_002mh_y_bpm__ext_003mh_y_bpm__ext_004mh_y_bpm__ext_005mh_y_bpm__ext_006mh_y_bpm__ext_007mh_y_bpm__int_001mh_y_bpm__int_002mh_y_bpm__int_003mh_y_bpm__int_004mh_y_bpm__int_005mh_y_bpm__int_006
Excluded values:
777
999
Validation criterion: maximally 1 of 19 items missing
Usage
compute_mh_y_bpm_sum(
data,
name = "mh_y_bpm_sum",
max_na = 1,
exclude = c("777", "999"),
combine = TRUE
)Arguments
- data
tbl. Data frame containing the columns to be summarized.
- name
character. Name of the summary score column.
- max_na
numeric, positive whole number. Number of missing items allowed.
NULLmeans no limit.- exclude
character vector. Values to be excluded from the summary score.
- combine
logical. If
TRUE(default), the summary score is is appended as a new column to the input data frame. IfFALSE, the summary score is returned as a separate one-column data frame.
Examples
if (FALSE) { # \dontrun{
compute_mh_y_bpm_sum(data) |>
select(
any_of(c("mh_y_bpm_sum", vars_mh_y_bpm))
)
} # }