Transform PSCIS Assessment Worksheet Data by Calculating Outlet Drop Score

This function calculates the outlet drop score for PSCIS data based on conditions involving outlet drop meters.

Usage

fpr_xfm_paw_score_outlet_drop(
  dat,
  col_outlet_drop_meters = outlet_drop_meters,
  col_outlet_drop_score = outlet_drop_score,
  drop_risk_low = 0.15,
  drop_risk_high = 0.3,
  risk_mod = 5,
  risk_high = 10,
  risk_low = 0
)

Arguments

dat

[dataframe] A dataframe containing the PSCIS data.

col_outlet_drop_meters

[character] A column name specifying the outlet drop meters, as a string or tidy-select syntax. Default is `outlet_drop_meters`.

col_outlet_drop_score

[character] A column name for the output outlet drop score, as a string or tidy-select syntax. Default is `outlet_drop_score`.

drop_risk_low

[numeric] A numeric value representing the lower threshold for low outlet drop risk. Default is `0.15`.

drop_risk_high

[numeric] A numeric value representing the threshold for high outlet drop risk. Default is `0.30`.

risk_mod

[numeric] A numeric value representing the risk score for moderate outlet drop conditions. Default is `5`.

risk_high

[numeric] A numeric value representing the risk score for high outlet drop conditions. Default is `10`.

risk_low

[numeric] A numeric value representing the risk score for low outlet drop conditions. Default is `0`.

Value

[dataframe] A dataframe with the specified column for outlet drop score added or updated.

See also

Other xfm paw: fpr_xfm_paw_all_scores_result(), fpr_xfm_paw_barrier_result(), fpr_xfm_paw_score_cv_len(), fpr_xfm_paw_score_cv_slope(), fpr_xfm_paw_score_embed(), fpr_xfm_paw_score_final(), fpr_xfm_paw_score_swr(), fpr_xfm_paw_swr()

Examples

dat <- data.frame(
  outlet_drop_meters = c(0.1, 0.2, 0.35, NA)
)
fpr_xfm_paw_score_outlet_drop(
  dat
)
#>   outlet_drop_meters outlet_drop_score
#> 1               0.10                 0
#> 2               0.20                 5
#> 3               0.35                10
#> 4                 NA                 0