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)
Importance
function.
VEC
-- 1-D VEC curve;
VECB
-- 1-D VEC curve with box plots (only valid for SA methods: "DSA", "MSA");
VEC3
-- 2-D VEC surface;
VECC
-- 2-D VEC contour;
mgraph
graph="VEC"
or (graph="VEC3" or "VECC"
and length(interactions)=1
, see Importance
). if a vector, then several VEC curves are plotted (in this case, x-axis is scaled).increasing
-- sorts the first attribute (if factor) according to the response values, increasing order;
decreasing
-- similar to increasing
but uses reverse order;
TRUE
-- similar to increasing
;
increasing2
-- sorts the second attribute (for graph="VEC3" or "VECC"
, if factor, according to the response values), increasing order;
decreasing2
-- similar to increasing2
but uses reverse order;
FALSE
-- no sort is used;
mgraph
mgraph
mgraph
mgraph
mgraph
graph="VEC"
curve, can be a vector if there are several VEC curve plotsgraph="VEC"
mgraph
graph="VECC"
mgraph
graph="VEC3"
:
FALSE
or TRUE
-- do not (do) show the levels in x1, x2 and z axis for factor variables;
c(FALSE,FALSE,TRUE)
only shows for z-axis).
VEC3
graph:
x
-- assumes list(z=0,x=-90,y=0)
;
X
-- assumes list(x=-75)
;
y
-- assumes list(z=0,x=-90,y=-90)
;
Y
-- assumes list(z=10,x=-90,y=-90)
;
z
-- assumes list(z=0,x=0,y=0)
;
xy
-- assumes list(z=10,x=-90,y=-45)
;
wireframe
graph="VEC3"
)Importance
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.
Importance