simulatePredictionData: Simulate data to test logistic regression.

In jbryer/IRRsim: Simulate Inter-Rater Reliability Statistics

Simulate data to test logistic regression.

Description

Simulate data to test logistic regression.

Usage

simulatePredictionData(
  mean1 = -0.1,
  n1 = 100,
  mean2 = -mean1,
  n2 = n1,
  mean_unknown = (mean1 + mean2)/2,
  n_unknown = round(n1/2),
  ratio_unknown = 0.5,
  sd = 0.2,
  group_labels = c("A", "B", "NA")
)

Arguments

mean1	the mean of group 1.
n1	the size of group 1.
mean2	the mean of group 2.
n2	the size of group 2.
mean_unknown	the mean of the group with a random outcome.
n_unknown	the size of the group with a random outcome.
ratio_unknown	the probability of outcome 1 occurring in the random group.
sd	the standard deviation for each group (i.e. parameter passed to rnorm). Variance is assumed to be equal across all groups.
group_labels	the labels for the groups in the data.frame.

Value

a data.frame with n1 + n2 + n_unknown rows and 3 variables (Group, X, and Y).

jbryer/IRRsim documentation built on April 23, 2023, 1:58 a.m.