plot-methods {fRegression} | R Documentation |
Regression Model Plot Methods
Description
Plots results obtained from a fitted regression model.
Usage
## S4 method for signature 'fREG,missing'
plot(x, which = "ask", ...)
Arguments
x |
an object of class 'fREG'. |
which |
a character string selecting which plot should be displayed.
By default |
... |
additional arguments to be passed to the underlying plot functions. |
Details
The plots are a set of graphs which are common to the regression
models implemented in the function regFit
. This includes
linear regression models use="lm"
,
robust linear regression models use="rlm"
,
generalized linear regression models use = "glm"
,
generalized additive regression models use = "gam"
,
projection pursuit regression models use = "ppr"
,
neural network regression models use = "nnet"
, and
polychotomous MARS models use = "polymars"
.
In addition one can also use the original plot functions of the
original models, .e.g. plot(slot(object, "fit")
.
Methods
- x = "ANY", y = "ANY"
-
Generic function.
- x = "fREG", y = "missing"
-
Plot function to display results obtained from a fitted regression model.
Author(s)
Diethelm Wuertz for the Rmetrics R-port.
Examples
## regSim -
x = regSim(model = "LM3", n = 50)
## regFit -
fit = regFit(Y ~ X1 + X2 + X3, data = x, use = "lm")
## plot -