Calculate proportion of guaranteed choices at each PDQ h rank

The PDQ analog of prop_ss(): pools all subjects' responses and reports, for each of the 10 h ranks (one item per block per rank), the proportion choosing the smaller guaranteed reward. 1 - prop_sc is the risky-choice proportion at that rank.

Usage

prop_sc(dat)

Arguments

dat

Dataframe (longform) with subjectid, questionid (1-30), and response (0 for the guaranteed reward and 1 for the risky reward)

Value

Dataframe with proportion of guaranteed choices at each h rank

Examples

prop_sc(pdq)
#> # A tibble: 10 × 2
#>    h_rank prop_sc
#>     <int>   <dbl>
#>  1      1     0.5
#>  2      2     0.5
#>  3      3     0.5
#>  4      4     0.5
#>  5      5     0.5
#>  6      6     0  
#>  7      7     0  
#>  8      8     0  
#>  9      9     0  
#> 10     10     0