vm_sev_std_jack: Jackknife Estimates of Indirect Effect in a Simple Mediation...

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

Description

Jackknife Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)

Usage

vm_sev_std_jack(data, taskid)

Arguments

data	n by 3 matrix or data frame. data[, 1] correspond to values for x. data[, 2] correspond to values for m. data[, 3] correspond to values for y.
taskid	Numeric. Task ID.

Author(s)

Ivan Jacob Agaloos Pesigan

See Also

Other jackknife functions: beta_jack_simulation(), beta_jack_task(), beta_jack(), exp_jack_simulation(), exp_jack_task(), exp_jack(), jack(), mvn_jack_simulation(), mvn_jack_task(), mvn_jack(), mvn_std_jack_simulation(), mvn_std_jack_task(), mvn_std_jack(), vm_mod_jack_simulation(), vm_mod_jack_task(), vm_mod_jack(), vm_mod_std_jack_simulation(), vm_mod_std_jack_task(), vm_mod_std_jack(), vm_sev_jack_simulation(), vm_sev_jack_task(), vm_sev_jack(), vm_sev_std_jack_simulation(), vm_sev_std_jack_task()

Examples

taskid <- 1
data <- vm_sev_dat(taskid = taskid)
vm_sev_std_jack(data = data, taskid = taskid)

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