plotPowerSig

The <code>data.frame</code> of a significance result, which contains only <code>TRUE</code> for significance and <code>FALSE</code> for not significance.

The <code>data.frame</code> of the predictor values. The number of rows of the <code>x</code> argument should be equal to the number of rows in the <code>object</code>.

The values of predictor that researchers would like to find the fit indices cutoffs from.

xval

mainName

If there are two of sample size, percent completely at random, and percent missing at random are varying, the <code>plotCutoff</code> function will provide 3D graph. Contour graph is a default. However, if this is specified as <code>FALSE</code>, perspect

useContour

This function will plot the significance results given the value of predictors.

This package can be used to generate data using the
        structural equation modeling framework. This package is
        tailored to use those simulated data for various purposes, such
        as model fit evaluation, power analysis, or missing data
        handling and planning.

plotPowerSig: Plot multiple logistic curves given a significance result matrix

Description

Usage

Arguments

Value

See Also

Examples