vars_mh_y_pps__severity | R Documentation |
Computes the summary score mh_y_pps__severity_nm
Prodromal Psychosis Scale [Youth] (Severity Score): Number missing
Summarized variables:
mh_y_pps__severity_001
mh_y_pps__severity_002
mh_y_pps__severity_003
mh_y_pps__severity_004
mh_y_pps__severity_005
mh_y_pps__severity_006
mh_y_pps__severity_007
mh_y_pps__severity_008
mh_y_pps__severity_009
mh_y_pps__severity_010
mh_y_pps__severity_011
mh_y_pps__severity_012
mh_y_pps__severity_013
mh_y_pps__severity_014
mh_y_pps__severity_015
mh_y_pps__severity_016
mh_y_pps__severity_017
mh_y_pps__severity_018
mh_y_pps__severity_019
mh_y_pps__severity_020
mh_y_pps__severity_021
Excluded values: none
vars_mh_y_pps__severity
compute_mh_y_pps__severity_nm(
data,
name = "mh_y_pps__severity_nm",
combine = TRUE
)
data |
tbl, Dataframe containing the columns to be summarized. |
name |
character, Name of the new column to be created. Default is the name in description, but users can change it. |
combine |
logical, If |
vars_mh_y_pps__severity is a character vector of all column names
used to compute summary of mh_y_pps__severity
scores.
The number of missing values in the mh_y_pps__severity
score is
calculated by subtracting the number of valid pairs from the total
bother count for each subject
(mh_y_pps__bother_yes_count - severity_pair_good_sum).
A good pair is defined as a pair where the mh_y_pps__bother__yes_count
is 1 and the mh_y_pps__severity
is not missing.
compute_mh_y_pps__bother__yes_count()
## Not run:
compute_mh_y_pps__severity_nm(data) |>
select(
any_of(c("mh_y_pps__severity_nm", vars_mh_y_pps__severity))
)
## End(Not run)
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