Simulate a single data set with an interaction (y ~ x1 + x2 + x1*x2). All values other than 'N' are population-level effects - the values within any single simulated data set will vary around the defined values.
Usage
generate_interaction(
N,
r.x1.y,
r.x2.y,
r.x1x2.y,
r.x1.x2,
rel.x1 = 1,
rel.x2 = 1,
rel.y = 1,
k.x1 = 0,
k.x2 = 0,
k.y = 0,
adjust.correlations = TRUE,
tol = 0.005,
iter = 10,
N.adjustment = 1e+06,
r.x1.y.adjust = NULL,
r.x2.y.adjust = NULL,
r.x1.x2.adjust = NULL,
r.x1x2.y.adjust = NULL,
internal.adjust = FALSE,
skew.x1 = NA,
skew.x2 = NA,
skew.y = NA
)Arguments
- N
Sample size. Must be a positive integer. Has no default value.
- r.x1.y
Pearson's correlation between x1 and y. Must be between -1 and 1. Has no default value.
- r.x2.y
Pearson's correlation between x2 and y. Must be between -1 and 1. Assumed to be the 'moderator' in some functions. Has no default value.
- r.x1x2.y
Pearson's correlation between the interaction term x1x2 (x1 * x2) and y. Must be between -1 and 1. Has no default value.
- r.x1.x2
Pearson's correlation between x1 and x2. Must be between -1 and 1. Has no default value.
- rel.x1
Reliability of x1 (e.g. test-retest reliability, ICC, Cronbach's alpha). Default is 1 (perfect reliability). Must be greater than 0 and less than or equal to 1.
- rel.x2
Reliability of x2 (e.g. test-retest reliability, ICC, Cronbach's alpha). Default is 1 (perfect reliability). Must be greater than 0 and less than or equal to 1.
- rel.y
Reliability of xy (e.g. test-retest reliability, ICC, Cronbach's alpha). Default is 1 (perfect reliability). Must be greater than 0 and less than or equal to 1.
- k.x1
Number of discrete values for x1. Can be used to make a variable binary or ordinal.
- k.x2
Number of discrete values for x2. Can be used to make a variable binary or ordinal.
- k.y
Number of discrete values for y.Can be used to make a variable binary or ordinal.
- adjust.correlations
If variables are ordinal or binary, should correlations be adjusted so that output data has the specified correlation structure? Default is TRUE.
- tol
Correlation adjustment tolerance. When adjust.correlations = TRUE, correlations are adjusted so that the population correlation is within r='tol' of the target. Default = 0.005.
- iter
Max number of iterations to run the correlation adjustment for. Typically only a couple are needed. Default = 10.
- N.adjustment
Sample size to use when adjusting correlations. Default = 1000000.
- r.x1.y.adjust
Internal use only.
- r.x2.y.adjust
Internal use only.
- r.x1.x2.adjust
Internal use only.
- r.x1x2.y.adjust
Internal use only.
- internal.adjust
Internal use only.
- skew.x1
No longer supported.
- skew.x2
No longer supported.
- skew.y
No longer supported.