search for: ksub

...dicates that the 0 is a subscript. (A la LaTeX.) But the values ``42'' and ``17'' are to be substituted in from the numeric values of R objects. After a bit of struggle I found that > nn <- 42 > kk <- 17 > plot(1:10,1:10, main=substitute(list(n==nsub~~k[0]==ksub),list(nsub=nn,ksub=kk))) gets pretty close to what I want. But how do I fold in the text strings ``Sample size'', "; critical value", and "." (at the end)? Is this simply impossible? I'd like to be able to do something like form e1 <- substitute(list(n==nsub...

Dear all, I was trying to understand how "multcomp" package works by running the examples given in the documentation. However I still don't understand when it comes to multiple comparison set by user (please refer to "Ksub" in the code). Therefore I run 2 other cases along with the original example (case 1), with the expectation I'll get the point from the output. The three cases only differ in the index I gave for "Ksub". ### Script start#### library(mvtnorm) library(multcomp) data("chole...

Dear Sir, I am stuck with a nagging problem in using R for SVM regression. My data has 5 dimensions and 400 observations. The independent variables are : Peb, Ksub, Sub, and Xtt. The dependent variable is: Rexp. I tried using the svm.tune function as well as <_tune(svm.....), to tune the hyper parameters: gamma, epsilon and C. Since I am new to R, I am probably not using the svm.tune function properly. I am getting the following error message: Error in...

...owing error message. > Error in predict.svm(ret, xhold, decision.values = TRUE) : > ?Model is empty! > 4) 10 random data as per your instructions are: > structure(list(Peb = c(225.0282, 514.4835, 66.6346, 221.4287, > 366.8782, 429.7749, 161.9826, 124.2772, 98.63578, 160.9544), > ? Ksub = c(7.892368, 21.07559, 66.61676, 43.01224, 113.7249, > ? 2.642293, 4.475745, 113.4638, 43.69712, 46.29462), Sub = c(50, > ? 30, 98.96, 73.96, 77.43, 30, 100, 99.65, 100, 96.88), Xtt = c(6.632812, > ? 0.751595, 5.664743, 1.630639, 1.49907, 26.39829, 11.07653, > ? 3.319892, 8.356013, 4.4...

Dear Sir/Madam, I am stuck with a nagging problem in using R for SVM regression. My data has 5 dimensions and 400 observations. The independent variables are : Peb, Ksub, Sub, and Xtt. The dependent variable is: Rexp. I tried using the svm.tune function to tune the hyper parameters: gamma, epsilon and C. I am getting the following error message: Error in predict.svm(ret, xhold, decision.values+TRUE): Model is empty! May you please help me! SADAF ZAIDI Associate Pr...