pathmox (version 0.2.0)

plot.treemox: Plot PATHMOX and TECHMOX trees

Description

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

Usage

"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)