![[Experimental]](figures/lifecycle-experimental.svg)
Arguments
- data
A dataframe.
- cols
A tidy selection of item columns.
- newcol
Name of the index as a character value. Set to NULL (default) to automatically build a name from the common column prefix, prefixed with "idx_".
- reverse
A tidy selection of columns with reversed codings. For example, if you want to calculate an index of the two items "I feel bad about this" and "I like it", both coded with 1=not at all to 5=fully agree, you need to reverse one of them to make the codings compatible.
- clean
Prepare data by data_clean.
Value
The input tibble with an additional column that contains the index values. The column contains the result of the alpha calculation in the attribute named "psych.alpha".
Examples
ds <- volker::chatgpt
volker::idx_add(ds, starts_with("cg_adoption"))
#> # A tibble: 97 × 20
#> case use_private use_work cg_adoption_advantage_01 cg_adoption_advantage_02
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 170 4 4 3 4
#> 2 183 1 1 4 3
#> 3 195 2 4 5 5
#> 4 212 5 5 4 4
#> 5 222 2 3 3 2
#> 6 236 3 1 3 2
#> 7 255 3 1 3 1
#> 8 297 3 4 4 3
#> 9 309 3 3 3 4
#> 10 325 2 1 4 1
#> # ℹ 87 more rows
#> # ℹ 15 more variables: cg_adoption_advantage_03 <dbl>,
#> # cg_adoption_advantage_04 <dbl>, cg_adoption_fearofuse_01 <dbl>,
#> # cg_adoption_fearofuse_02 <dbl>, cg_adoption_fearofuse_03 <dbl>,
#> # cg_adoption_fearofuse_04 <dbl>, cg_adoption_social_01 <dbl>,
#> # cg_adoption_social_02 <dbl>, cg_adoption_social_03 <dbl>,
#> # cg_adoption_social_04 <dbl>, adopter <fct>, sd_age <dbl>, …