Hello,
While learning how to manipulate data with R, I found one example that I could
not understand.
In the following example, the function definition of "maxcor" has an argument
named "i" and I don't understand why.
Could someone explain why the maxcor function definition needs to have this
Dear all,
Is it possible to extract cross-validation results from e1071's svm model?
For example, the following R code shows the result from the 10 fold
cross-validation.
model = svm(spam ~ ., data = spam, cross = 10)
summary(model)
But, I could not figure out how to get to the accuracy values
Hello,
I was looking for a way to evaluate the goodness-of-fit of a logistic
regression model. After googling, I found that I could use "resid(fit, 'gof')"
method implemented in the rms package. However, since I am not used to the "le
Cessie-van Houwelingen normal test statistic," I do not know
By trial and error I have discovered that it works if I don't use the formula
interface in combination with a covariance matrix as input.
If the covariance matrix has the dependent variable as its left-most
variable as the relaimpo documentation suggests, then the relaimpo package
will run by sim
I'm having trouble getting the relaimpo package to use a covariance matrix as
input. I'm getting an error message that reads as follows:
Error in eval(m$weights, data, parent.frame()) :
numeric 'envir' arg not of length one
I'm guessing there is something wrong with the structure of my covar
I just discovered that even with this error message, relaimpo does run and
produce output objects that appear fine. It would be nice to know if this
error message is serious or not.
--
View this message in context:
http://www.nabble.com/Using-a-covariance-matrix-as-input-to-relaimpo-package-tp
6 matches
Mail list logo
