Compute "KSADS - Drug Use Disorders [Youth] (Symptom: Stimulants - Past): Mean"
Source:R/scores_su.R
compute_su_y_ksads__dud__stim__past__sx_mean.RdComputes the summary score su_y_ksads__dud__stim__past__sx_mean
KSADS - Drug Use Disorders [Youth] (Symptom: Stimulants - Past): Mean
[Validation: No more than 3 missing or declined]
Summarized variables:
su_y_ksads__dud__actvdecr__stim__past_sxsu_y_ksads__dud__crave__stim__past_sxsu_y_ksads__dud__dwi__stim__past_sxsu_y_ksads__dud__failrespons__stim__past_sxsu_y_ksads__dud__haz__stim__past_sxsu_y_ksads__dud__negimpct__interprs__stim__past_sxsu_y_ksads__dud__negimpct__obl__stim__past_sxsu_y_ksads__dud__overuse__stim__past_sxsu_y_ksads__dud__prob__phys__stim__past_sxsu_y_ksads__dud__prob__psych__stim__past_sxsu_y_ksads__dud__reduce__dsr__stim__past_sxsu_y_ksads__dud__reduce__unsucces__stim__past_sxsu_y_ksads__dud__time__stim__past_sxsu_y_ksads__dud__tol__stim__past_sxsu_y_ksads__dud__withdr__stim__past_sx
Excluded values:
555
Validation criterion: maximally 3 of 15 items missing
Usage
vars_su_y_ksads__dud__stim__past__sx_mean
compute_su_y_ksads__dud__stim__past__sx_mean(
data,
name = "su_y_ksads__dud__stim__past__sx_mean",
max_na = 3,
exclude = c("555"),
combine = TRUE
)Format
vars_su_y_ksads__dud__stim__past__sx_mean is a character vector
of all column names used to compute summary score of
su_y_ksads__dud__stim__past__sx_mean
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 calculation.
- 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.
Details
KSADS summary scores are mostly calculating the means over variables, but there are two special codes to handle:
"888": item skipped by branching. When at least one input value is observed, any888value is converted to "0" prior to averaging."555": module not administered. If any input variable is "555" leave the score asNA.NA: missing value. If at least one input value is observed, anyNAvalues are converted to "0" prior to averaging. If all inputs areNA, the summary score remainsNA.