plot.plspm: Plots for PLS Path Models

In gastonstat/plspm: Tools for Partial Least Squares Path Modeling (PLS-PM)

Plots for PLS Path Models

Description

Plot method for objects of class "plspm". This function plots either the inner (i.e. structural) model with the estimated path coefficients, or the outer (i.e. measurement) model with loadings or weights.

Usage

  ## S3 method for class 'plspm'
 plot(x, what = "inner",
    colpos = "#6890c4BB", colneg = "#f9675dBB",
    box.prop = 0.55, box.size = 0.08, box.cex = 1,
    box.col = "gray95", lcol = "gray95",
    txt.col = "gray40", arr.pos = 0.5, cex.txt = 0.9, ...)

Arguments

x	An object of class "plspm".
what	What to plot: "inner", "loadings", "weights".
colpos	Color of arrows for positive path coefficients.
colneg	Color of arrows for negative path coefficients.
box.prop	Length/width ratio of ellipses and rectangles.
box.size	Size of ellipses and rectangles.
box.cex	Relative size of text in ellipses and rectangles.
box.col	fill color of ellipses and rectangles.
lcol	border color of ellipses and rectangles.
txt.col	color of text in ellipses and rectangles.
arr.pos	Relative position of arrowheads on arrows.
cex.txt	Relative size of text on arrows.
...	Further arguments passed on to plotmat.

Details

plot.plspm is just a wraper of innerplot and outerplot.

Note

Function plot.plspm is based on the function plotmat of package diagram.
http://cran.r-project.org/web/packages/diagram/vignettes/diagram.pdf

See Also

innerplot, outerplot, plspm

Examples

## Not run: 
 ## typical example of PLS-PM in customer satisfaction analysis
 ## model with six LVs and reflective indicators
 # load data satisfaction
 data(satisfaction)

 # define inner model matrix
 IMAG = c(0,0,0,0,0,0)
 EXPE = c(1,0,0,0,0,0)
 QUAL = c(0,1,0,0,0,0)
 VAL = c(0,1,1,0,0,0)
 SAT = c(1,1,1,1,0,0)
 LOY = c(1,0,0,0,1,0)
 sat.inner = rbind(IMAG, EXPE, QUAL, VAL, SAT, LOY)

 # define outer model list
 sat.outer = list(1:5, 6:10, 11:15, 16:19, 20:23, 24:27)

 # define vector of reflective modes
 sat.mod = rep("A", 6)

 # apply plspm
 satpls = plspm(satisfaction, sat.inner, sat.outer, sat.mod, scheme="centroid",
               scaled=FALSE)

 # plot path coefficients
 plot(satpls, what="inner")

 # plot loadings
 plot(satpls, what="loadings")

 # plot outer weights
 plot(satpls, what="weights")
 
## End(Not run)

gastonstat/plspm documentation built on April 8, 2022, 5:59 a.m.