See the package vignette
plotmo package}
plotmo(object = stop("no 'object' arg"),
type=NULL, nresponse = NA, clip = TRUE, ylim = NULL,
center = FALSE, ndiscrete = 5,
degree1 = TRUE, all1=FALSE, degree2 = TRUE, all2=FALSE, int.only.ok = TRUE,
grid.func = median, grid.levels = NULL,
col.response = 0, cex.response = NULL, pch.response = 20,
jitter.response=0, npoints = -1, inverse.func = NULL,
level = 0, shade.pints = "mistyrose2", shade2.pints = "mistyrose4",
trace = 0,
nrug = 0, col.degree1 = 1, lty.degree1 = 1, lwd.degree1 = 1,
col.smooth = 0, lty.smooth = 1, lwd.smooth = 1, smooth.f = .5,
func = NULL, col.func = "lightblue", lty.func = 1, lwd.func = 1,
ngrid1 = 50, grid = FALSE,
type2 = "persp", ngrid2 = 20,
col.image = gray(0:10/10), col.persp = "lightblue",
theta = NA, phi = 30, dvalue = 1, shade = 0.5,
do.par = TRUE, caption = NULL, main = NULL,
xlim = NULL, xlab = "", ylab = "", cex = NULL, cex.lab = 1,
xflip = FALSE, yflip = FALSE, swapxy = FALSE, se = 0, ...)predict.
For allowed values see the predict method for
your object (such as
predict.earthpredict returns multiple columns.
This can be a column index or column name
(which may be abbreviated, partial matching is used).
Ignored when predict returns a single column.TRUE, meaning plot only predicted values that
are in the expected range.
Use FALSE to plot all values.
See clip argumentNULL (default) all y axes have same limits
(where FALSE.
(This is an initial implementation of centering and will change.)5 (a somewhat arbitrary value).
Variables with no more than ndiscrete unique values
are plotted as quantized in plots (a staircase rather than a curve).
Factors are always considered discrete.TRUE, meaning all degree1 plots (the TRUE gets recycled).
Use FALSE (or 0) for no degree1 plots.
Note that this FALSE.
Use TRUE to plot all predictors,
not just those usually selected by plotmo.
See all1 argument increases the TRUE, meaning all degree2 plots.
New in version 1.3-0: degree2 may be a character vector
specifying which variables to plot
(<FALSE.
Use TRUE to plot all pairs of predictors,
not just those usually selected by plotmo.
The all2 argument increases the number of plots;
the degree2 argumeint.only.ok=FALSE to instead issue an error message
for intercept-only mox matrix to fix the values of
variables not on the axes.
Default is median.
(This argument is ignored for factors. The first level of
factNULL.
Else a list of variables and their fixed value to be used
when the variable is not on the axis.
Supersedes grid.func for variables in the list.
Names and values can be abbreviated, partial maty in the data
used to build the model.
Plotting these points is most helpful only when the model has a single predictor.
Can be a vectorNULL, meaning automatic.
Applies only if col.response!=0.20.
Applies only if col.response!=0.col.response!=0.
Default 0, no jitter.
A typical useful value is .3, but it depends on the data.
Points are jittered horizontally and verticalcol.response!=0.
Default is the special value -1 meaning all.
Otherwise a sample of npoints points is taken.NULL.
Else a function applied to the predicted response before plotting.
For example, you could use inverse.func=exp if your
model formula is log(y)~x.level.
Default is 0, bands not plotted.
Else a fraction, something like level=.95.
See level bands. Default is "mistyrose2", a pale pink.
Applies only if level > 0.level bands. Default is "mistyrose4".
Applies only if level > 0 and currently only for lm models.0.
Use 1 (or TRUE) to trace operation.
Use values greater than 1 for more detailed tracing.
Use -1 to inhibit the grid: message usually issued by plotmo.0, no rug.
Special value -1 for all.
Otherwise a sample of nrug points is taken.1.1.1.col.response is set.)
This refers to the response y in the data
used to build the model.
Default is 01.
Applies only if col.smooth!=0.1.
Applies only if col.smooth!=0.f parameter in internal call to lowess.
Default is .5.
Applies only if col.smooth!=0.func(x) if func is not NULL.
Default is NULL.
This is useful if you are comparing the model to a known function.
The func is called for each plot with a single argfunc line.
Default is "lightblue".func line.
Default is 1.func line.
Default is 1.50.FALSE.
Use TRUE to add a grid to the degree1 plots.
You can also specify a color here, e.g. grid="darkgray".
The following arguments are for degreengrid2 x ngrid2 points are plotted,
but less for factors and variables with less than ngrid2 discrete values).
Default is 20.
Note 1: the default will often be too small for image plot.
Default is gray(0:10/10), a range of grays.
Clipped values will be displayed in blue (only applies if clip=TRUE).persp surface. Default is "lightblue".
Use 0 for no color.persp.
Default is NA, meaning automatically rotate each graph
so the highest corner is furthest away.
Use trace=1 to see the calculated value fopersp. Default is 30.
Lower values to view from the side; higher to view from above.persp as d. Default is 1.
The name was changed from d to avoid partial matching problems.persp. Default is 0.5.
The following are related to par and other graphical settings.TRUE, meaning start a new page and call par as
appropriate to display multiple plots on the same page
(this adjusts mfrow, cex, mar, and type, response name, and call.caption, for the overall title.NULL, meaning automatically calculate xlim for each graph.
Else used the given xlim for all degree1 graphs."", no label, which gives more plottable area.
The special value NULL means use the current variable xlab.1.FALSE.
Use TRUE to flip the direction of the x axis.
This argument (and yflip and swapxy) is useful when comparing
to a plot from another source and you want the axes FALSE.
Use TRUE to flip the direction of the y axis of the degree2 graphs.FALSE.
Use TRUE to swap the x and y axes on the degree2 graphs.level argument instead.
So instead of se=2 use level=.95.persp plots, ticktype="d", nticks=2 is useful.)plotmo} packageThere is section on plotmo in the rpart.plot vignette
rpart trees with prp}
if (require(rpart)) {
data(kyphosis)
rpart.model <- rpart(Kyphosis~., data=kyphosis)
plotmo(rpart.model, type="prob", nresponse="present")
}
if (require(earth)) {
data(ozone1)
earth.model <- earth(O3 ~ ., data=ozone1, degree=2, nk=21)
plotmo(earth.model)
}Run the code above in your browser using DataCamp Workspace