vm_sev_dat: Generate Nonnormal Data Using the Vale and Maurelli (1983)...

In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

Description

Generate Nonnormal Data Using the Vale and Maurelli (1983) Approach following a Simple Mediation Model (Skewness = 3, Kurtosis = 21)

Usage

vm_sev_dat(taskid)

Arguments

taskid

Numeric. Task ID.

Author(s)

Ivan Jacob Agaloos Pesigan

See Also

Other multivariate normal data functions: mvn_dat_simulation(), mvn_dat_task(), mvn_dat(), mvn(), setparamsmvn(), useparamsmvn(), vm_mod_dat_simulation_simulation_summary(), vm_mod_dat_simulation_task_summary(), vm_mod_dat_simulation(), vm_mod_dat_task(), vm_mod_dat(), vm_sev_dat_simulation_simulation_summary(), vm_sev_dat_simulation_task_summary(), vm_sev_dat_simulation(), vm_sev_dat_task()

Examples

data <- vm_sev_dat(taskid = 1)
colMeans(data)
cov(data)
apply(X = data, MARGIN = 2, FUN = jeksterslabRdist::skew)
apply(X = data, MARGIN = 2, FUN = jeksterslabRdist::kurt)
fit.ols(data, minimal = TRUE)
fit.ols(data, minimal = TRUE, std = TRUE)
fit.ols(data, minimal = FALSE)

jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.