search for: hydrophob_p

...0.0004514713 0.001366561 0.0009096419 1.736749 acid_per 0.0125815445 0.023360179 0.0179634375 21.131681 base_per 0.0070077737 0.012196570 0.0096129124 13.675893 charge_per 0.0095668425 0.024125997 0.0168345956 20.969665 hydrophob_per 0.0185736697 0.031941513 0.0252200036 25.994903 polar_per 0.0169369327 0.023633413 0.0202776247 20.890415 -- Sincerely, Changbin -- [[alternative HTML version deleted]]

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, n.trees=best.iter, plotit=TRUE, order=TRUE, cBars=14) # based on the estimated best number of trees var rel.i...

...80 0.09252669 0.016014235 4 0.00149 0.00448 0.00448 0.00000 0.16591928 0.11509716 0.022421525 5 0.00000 0.00156 0.00000 0.00156 0.13084112 0.10903427 0.009345794 6 0.00293 0.00000 0.00000 0.00000 0.07038123 0.08797654 0.002932551 7 0.00000 0.00346 0.00000 0.00346 0.05536332 0.08650519 0.010380623 hydrophob_per polar_per num_cell num_genes position out 1 0.3804348 0.1929348 1 4 1 0 3 0.3540925 0.2508897 1 4 3 0 4 0.3393124 0.2032885 1 4 4 1 5 0.3753894 0.2305296 2 7 1 0 6 0.486...

...training data valid<-rbind(valid.cc, valid.nn) # validation data #creat data set contains the following variables myvar<-names(gh5_h) %in% c(varr, "num_cell","num_genes","position", "acid_per", "base_per", "charge_per", "hydrophob_per", "polar_per", "out") train<-train[myvar] # update training set valid<-valid[myvar] control<-rpart.control(xval=10, cp=0.01, minsplit=5, minbucket=5) #control the size of the initial tree tree.fit <- rpart(out ~ ., method="class&quo...