vecplot | R Documentation |
VEC plot function (to use in conjunction with Importance function).
vecplot(I, graph = "VEC", leg = NULL, xval = 1, sort = FALSE, data = NULL,
digits = c(1, 1), TC = 1, intbar = NULL, lty = 1, pch = 19, col = NULL,
datacol = NULL, main = "", main2 = "", Grid = 0,
xlab = "", ylab = "", zlab = "",
levels = NULL, levels2 = NULL, showlevels = FALSE,
screen = list(z = 40, x = -60), zoom = 1, cex = 1)
I |
the output list of the |
graph |
type of VEC graph:
|
leg |
see |
xval |
the attribute input index (e.g. 1), only used if |
sort |
if factor inputs are sorted:
|
data |
see |
digits |
see |
TC |
see |
intbar |
see |
lty |
see |
pch |
point type for the |
col |
color (e.g. "black", "grayrange", "white") |
datacol |
color of the data histogram for |
main |
see |
main2 |
key title for |
Grid |
see |
xlab |
x-axis label |
ylab |
y-axis label |
zlab |
z-axis label |
levels |
if x1 is factor you can choose the order of the levels to this argument |
levels2 |
if x2 is factor you can choose the order of the levels to this argument |
showlevels |
if you want to show the factor levels in x1 or x2 axis in
|
screen |
select the perspective angle of the
|
zoom |
zoom of the wireframe ( |
cex |
label font size |
For examples and references check: Importance
A VEC curve/surface/contour plot.
Paulo Cortez http://www3.dsi.uminho.pt/pcortez/
To cite the Importance function or sensitivity analysis method, please use:
P. Cortez and M.J. Embrechts.
Using Sensitivity Analysis and Visualization Techniques to Open Black Box Data Mining Models.
In Information Sciences, Elsevier, 225:1-17, March 2013.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ins.2012.10.039")}
Importance
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.