fitPath {condvis2} | R Documentation |
Constructs tours of data space based on fits.
lofPath(
data,
fits,
length = 10,
reorder = TRUE,
conditionvars = NULL,
predictArgs = NULL,
response = NULL,
...
)
diffitsPath(
data,
fits,
length = 10,
reorder = TRUE,
conditionvars = NULL,
predictArgs = NULL,
...
)
hiresponsePath(
data,
response = NULL,
length = 10,
reorder = TRUE,
conditionvars = NULL,
...
)
loresponsePath(
data,
response = NULL,
length = 10,
reorder = TRUE,
conditionvars = NULL,
...
)
data |
A dataframe |
fits |
A model fit or list of fits |
length |
Path length, defaults to 10 |
reorder |
If TRUE (default) uses DendSer to reorder the path |
conditionvars |
A vector of variable names. The returned tour is for this subset of variables. |
predictArgs |
Extra inputs to CVpredict |
response |
The name of the response variable |
... |
ignored |
A dataframe with the path
lofPath()
: Constructs a tour of data space showing biggest absolute residuals from fits.
diffitsPath()
: Constructs a tour of data space showing biggest differences in fits.
hiresponsePath()
: Constructs a tour of data space showing high (numeric) response values
loresponsePath()
: Constructs a tour of data space showing low (numeric) response values
fit1 <- lm(mpg ~ wt+hp+am, data=mtcars)
fit2 <- lm(mpg ~ wt, data=mtcars)
lofPath(mtcars,fit1, response="mpg")
diffitsPath(mtcars,list(fit1,fit2))