plot.treemox: Plot PATHMOX and TECHMOX trees

In gastonstat/pathmox: Pathmox Approach of Segmentation Trees in Partial Least Squares Path Modeling

Description

The function plot.treemox allows to display binary trees of PATHMOX and TECHMOX analyses. If shadow.size=0, no shadows are drawn.

Usage

  ## S3 method for class 'treemox'
 plot(x, root.col = "#eeeeee",
    root.bor = "#cccccc", root.txt = "#757575",
    root.cex = 0.8, root.lwd = 3, root.shadow = "gray40",
    node.col = "#feb769", node.bor = "#FE9929",
    node.txt = "#555555", node.cex = 0.7, node.lwd = 3,
    node.shadow = "gray30", leaf.col = "#93c4e5",
    leaf.bor = "#5a99c5", leaf.txt = "#555555",
    leaf.cex = 0.7, leaf.lwd = 3, leaf.shadow = "gray30",
    shadow.size = 0, arr.lwd = 3, lcol = "#ddddddbb",
    arr.col = "gray95", seg.cex = 0.7, seg.col = "#2cb0a7",
    cat.cex = 0.8, cat.col = "#555555", show.pval = TRUE,
    pval.col = "#2cb0a7", main = NULL, cex.main = 1,
    col.main = "gray50", ...)

Arguments

x	An object of class "treemox" returned by pathmox or techmox.
root.col	Fill color of root node.
root.bor	Border color of root node.
root.txt	Text color of root node.
root.cex	magnification to be used for text in root node.
root.lwd	Line width of border in the root node.
root.shadow	Color of shadow of root node.
node.col	Fill color of child nodes.
node.bor	Border color of child nodes.
node.txt	Text color of child nodes.
node.cex	magnification to be used for text in child nodes.
node.lwd	Line width of border in child nodes.
node.shadow	Color of shadow of child nodes.
leaf.col	Fill color of leaf nodes.
leaf.bor	Border color of leaf nodes.
leaf.txt	Text color of leaf nodes.
leaf.cex	magnification to be used for text in leaf nodes.
leaf.lwd	Line width of border in leaf nodes.
leaf.shadow	Color of shadow of leaf nodes.
shadow.size	Relative size of shadows.
arr.lwd	Line width of the tree branches.
lcol	color of lines
arr.col	color of arrows
seg.cex	A numerical value indicating the magnification to be used for plotting text.
seg.col	The color to be used for the labels of the segmentation variables.
cat.cex	magnification to be used for the categories
cat.col	The color to be used for the labels of the categories
show.pval	Logical value indicating whether the p-values should be plotted.
pval.col	The color to be used for the labels of the p-values.
main	A main title for the plot.
cex.main	The magnification to be used for the main title.
col.main	Color to be used for the main title
...	Further arguments are ignored.

Examples

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

 # select manifest variables
 data_mobile = csimobile[,8:33]

 # define path matrix (inner model)
 IMAG = c(0, 0, 0, 0, 0, 0, 0)
 EXPE = c(1, 0, 0, 0, 0, 0, 0)
 QUAL = c(0, 1, 0, 0, 0, 0, 0)
 VAL = c(0, 1, 1, 0, 0, 0, 0)
 SAT = c(1, 1, 1, 1, 0, 0, 0)
 COM = c(0, 0, 0, 0, 1, 0, 0)
 LOY = c(1, 0, 0, 0, 1, 1, 0)
 mob_path = rbind(IMAG, EXPE, QUAL, VAL, SAT, COM, LOY)

 # blocks of indicators (outer model)
 mob_outer = list(1:5, 6:9, 10:15, 16:18, 19:21, 22:24, 25:26)
 mob_modes = rep("A", 7)

 # apply plspm
 mob_pls = plspm(data_mobile, mob_path, mob_blocks, modes = mob_modes,
                 scheme = "factor", scaled = FALSE)

 # re-ordering those segmentation variables with ordinal scale
 # (Age and Education)
 csimobile$Education = factor(csimobile$Education,
     levels=c("basic","highschool","university"),
     ordered=TRUE)

 # select the segmentation variables
 seg_vars = csimobile[,1:7]

 # Pathmox Analysis
 mob_pathmox = pathmox(mob_pls, seg_vars, signif=.10, size=.10, deep=2)

 # plot pathmox tree
 plot(mob_pathmox, root.col="lightblue", node.col="turquoise", leaf.col="skyblue3",
      shadow.size=0, seg.col="blue2", pval.col="magenta")
 
## End(Not run)

gastonstat/pathmox documentation built on May 16, 2019, 5:46 p.m.