Compute "Difficulties in Emotion Regulation Scale [Parent] (Negative Secondary): Mean"
Source:R/scores_mh.R
compute_mh_p_ders__negscnd_mean.Rd
Computes the summary score mh_p_ders__negscnd_mean
Difficulties in Emotion Regulation Scale [Parent] (Negative
Secondary): Mean
Summarized variables:
mh_p_ders__negscnd_001
mh_p_ders__negscnd_002
mh_p_ders__negscnd_003
mh_p_ders__negscnd_004
mh_p_ders__negscnd_005
mh_p_ders__negscnd_006
mh_p_ders__negscnd_007
Usage
vars_mh_p_ders__negscnd
compute_mh_p_ders__negscnd_mean(
data,
name = "mh_p_ders__negscnd_mean",
max_na = 1,
exclude = c("999", "777"),
combine = TRUE
)
Format
vars_mh_p_ders__negscnd
is vector of all column names
used to compute summary score of mh_p_ders__negscnd
scores.
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.
NULL
means 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.
Examples
if (FALSE) { # \dontrun{
compute_mh_p_ders__negscnd_mean(data) |>
select(
any_of(c("mh_p_ders__negscnd_mean", vars_mh_p_ders__negscnd))
)
} # }