Displaying 5 results from an estimated 5 matches for "num_gener".
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num_genes
2010 Apr 07
2
help in attach function
Hi, r-community,
This morning, I MET the following problem several times when I try to attach
the data set.
When I closed the current console and reopen the R console, the problem
disappear. BUt with the time passed on, the problem occurs again.
Can anyone help me with this?
> attach(total)
The following object(s) are masked from total ( position 3 ) :
acid base cell_evalue
2010 Apr 29
1
variable importance in Random Forest
HI, Dear Andy,
I run the RandomFOrest in R, and get the following resutls in variable
importance:
What is the meaning of MeanDecreaseAccuracy and MeanDecreaseGini?
I found they are raw values, they are not scaled to 1, right?
Which column if most similar to the variable rel.influence in Boosting?
Thanks so much!
> fit$importance
0 1
2010 Apr 28
0
relative influence plot
HI, Dear Greg,
I have one question about the variable relative influence plot: THE
following is the rel.inf value of 25 variables, but wen I plot, not all the
variables are labeled.
i.e. num_genes, wg, hydrophob_per etc are not labeled on the y-axis. also
the variables are labeled vertically, can it be labeled horizontally just
like the summary table?
Thanks!
> summary(gbm1,
2010 Jun 24
1
help in SVM
HI, GUYS,
I used the following codes to run SVM and get prediction on new data set hh.
dim(all_h)
[1] 2034 24
dim(hh) # it contains all the variables besides the variables in all_h
data set.
[1] 640 415
require(e1071)
svm.tune<-tune(svm, as.factor(out) ~ ., data=all_h,
ranges=list(gamma=2^(-5:5), cost=2^(-5:5)))# find the best parameters.
bestg<-svm.tune$best.parameters[[1]]
2010 May 26
1
how to Store loop output from a function
HI, Dear R community,
I am writing the following function to create one data set(*tree.pred*) and
one vector(*valid.out*) from loops. Later, I want to use the data set from
this loop to plot curves. I have tried return, list, but I can not use the
*tree.pred* data and *valid.out* vector.
auc.tree<- function(msplit,mbucket) {
* tree.pred<-data.frame()