prep_ordinal: Ordinal x-axis by grouping

In discAUC: Linear and Non-Linear AUC for Discounting Data

Ordinal x-axis by grouping

Description

Helper function to create ordinal values for x-axis variable. This helper function is designed to be used if the x-axis values are identical across every set of indifference points or if you desire ordinal x-axis values by subject. For the second case, if one subject was exposed to delays of 1 day and 1 month and a second subject was exposed to delays of 1 week and 1 month. In such a case, prep_ordinal() would return ordinal delays of (1, 2) for subject 1 and ordinal delays of (1, 2) for subject 2. If zeroes exist, will code as ordinal 0.

Usage

prep_ordinal(dat, x_axis, groupings = NULL, prob_disc = FALSE)

Arguments

dat	Discounting data tibble
x_axis	Delays/probabilities/social distance variable
groupings	Variables for grouping (e.g., subject, expeirmental group)
prob_disc	Boolean for probability discounting, if set to true function will calculate ordinals based on descending x_axis values which would be in line with increasing odds against.

Value

Tibble that has ordinal values for each x_axis value based on all possible x_axis values. Output tibble is arranged in the same order as original tibble.

Examples

library(dplyr)

PD <- tibble(
  prob = c(
    c(.05, 1 / 100, 1 / 300, 1 / 750, 1 / 1000, 1 / 3000),
    c(.1, 1 / 100, 1 / 300, 1 / 750, 1 / 1000, 1 / 4000)
  ),
  indiff = c(c(95, 75, 50, 20, 5, 1), c(95, 75, 50, 20, 5, 1) + .25),
  sub = c(rep(1, 6), rep(2, 6))
)

# Scramble data to demonstrate preserved original order
PD <- PD %>%
  mutate(scramble = rnorm(NROW(PD), 0, 1)) %>%
  arrange(scramble)

PD

prep_ordinal(PD, "prob", prob_disc = TRUE, "sub")

discAUC documentation built on March 31, 2023, 5:26 p.m.