plot {intRegGOF} | R Documentation |
Methods to develop model validation and visualization of Integrated Regression Goodness of Fit technique.
plotAsIntRegGOF(obj, covar = 1, ADD = FALSE, ...) pointsAsIntRegGOF(obj,covar=1,...) linesAsIntRegGOF(obj,covar=1,...)
obj |
|
covar |
Variable name, number or vector for which Int. Reg. is computed. If it is a number, it reference a covariate in the model frame, while if it is a name refer to data in data frame using in the fitting process. |
ADD |
If |
... |
Further parameters to for plotobj command. |
Currently, the implementation computes the accumulated residual
process against a single covariate (covar
). When the value
of covar
is set to 0, the response is used as the variable
whose residual are accumulated against.
Notice that if covar
is a vector its lenght should be equal
to the number of residuals.
lm
objects that does not have a data parameter set
when the call is executed does not work presently when the covar
parameter is different than 0.
Jorge Luis Ojeda Cabrera (jojeda@unizar.es).
lm
, glm
, nls
its
associated plot
method and intRegGOF
.
n <- 50 d <- data.frame( X1=runif(n),X2=runif(n)) d$Y <- 1 + 2*d$X1 + rnorm(n,sd=.125) par(ask=TRUE) plot( d ) plotAsIntRegGOF(lm(Y~X1+X2,d),covar="X1") plotAsIntRegGOF(a <- lm(Y~X1-1,d)) plotAsIntRegGOF(a,c("X1")) plotAsIntRegGOF(a,0) plotAsIntRegGOF(a,fitted(a)) par(ask=FALSE)