Displaying 4 results from an estimated 4 matches for "ytypes".
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types
2004 Jul 15
1
areg.boot use of inverseTrans and ytype
Hi R helpers!
I'm still a bit ( alot) confused by the use of "inverseTrans" and "ytype" in areg.boot (Hmisc): What I want to do seems very simple, but I do not get the result I want:
plot the predicted values in the original scale. (I did not understand the documentation, sorry!)
for instance the following code
2007 Jan 22
0
Recursive-SVM (R-SVM)
I am trying to implement a simple r-svm example using the iris data (only two of the classes are taken and data is within the code). I am running into some errors. I am not an expert on svm's. If any one has used it, I would appreciate their help. I am appending the code below.
Thanks../Murli
#######################################################
### R-code for R-SVM
### use leave-one-out
2009 Jan 22
1
maintaining variable types in data frames
...s reason for that: Y was not changed, and
more specifically, Y$V2 was not changed, so no change was made to the
variable types.
It all makes sense, but I want an easy way to maintain the structure of a
data frame when I do this kind of operation. I ought to be able to do
something like this:
Ytypes <- get_types(Y)
Y[is.na(Y)] <- X[is.na(Y)]
use_types(Y, Ytypes)
That kind of system would ensure that the basic structure of the data
frame can be maintained. I don't want to have to check by hand, and
sometimes it would be impossible to do so.
So what's the trick? Is there a...
2005 Sep 06
2
Predicting responses using ace
Hello everybody,
I'm a new user of R and I'm working right now with the ACE function
from the acepack library. I Have a question: Is there a way to predict
new responses using ACE? What I mean is doing something similar to the
following code that uses PPR (Projection Pursuit Regression):
library(MASS)
x <- runif(20, 0, 1)
xnew <- runif(2000, 0, 1)
y <- sin(x)
a <- ppr(x, y,