K10 scoring

K10 scoring

Usage

k10_score(
  data,
  col_map = list(),
  na_action = c("keep", "omit", "error"),
  missing_prop_max = 0.2,
  impute = c("none", "mean"),
  prefix = "K10",
  verbose = FALSE
)

Arguments

data

Data frame containing questionnaire item columns.

col_map

Named list mapping canonical item IDs to column names; defaults assume items are already named.

na_action

How to handle rows with missing items: keep, omit, or error.

missing_prop_max

Maximum allowed proportion of missing items per row before the score is set to NA.

impute

Imputation strategy for missing items when under the threshold: none or mean (row-wise mean).

prefix

Prefix for output column names.

verbose

Logical flag for verbose messaging (reserved).

Value

A tibble of score columns only: K10_total. Input columns are not included.

Examples

df <- data.frame(k10_01 = 0, k10_02 = 1, k10_03 = 2, k10_04 = 1, k10_05 = 0,
                 k10_06 = 1, k10_07 = 2, k10_08 = 1, k10_09 = 0, k10_10 = 1)
k10_score(df)
#> # A tibble: 1 × 1
#>   K10_total
#>       <dbl>
#> 1         9