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Dear All, I tried to plot a variety of lines(curves) on same figure. What I did is, plot(x=x1,y=y1) lines(x=x2,y=y2) lines(x=x3,y=y3) ... In my data, the maximum of y1 is much smaller than those maximums of other y vectors. So, in the figure I got, there are some curves which are not complete, I mean, they were cut off at the maximum of y1 at the y axis. Could anybody point out some right

Dear All, I have a data, suppose it is an N*M matrix data. All I want is to classify it into, let see, 3 classes. Which method(s) do you think is(are) appropriate for this purpose? Any reference will be welcome! Thanks! Best, Baoqiang Cao

Dear All, I am producing a figure with many curves on it. How do I make the legends for all those curves smaller so that it can fit the figure itself? The commands I used for ploting are: plot(x1,y1,col=1,lty=1) lines(x2,y2,col=2,lty=2) ... legend(0.3,0.4,c("name1","name2",...),col=1:20,lty=1:20) Any tips for making the legend fit the figure will very welcome! Thanks! Best,

Hi there, I really couldn't find out how to plot histogram with point/line instead of rectangle for each bin? Any help please? Thanks! Best, -Cao

Dear All, I am using wilcox.test to test two samples, data_a and data_b, earch sample has 3 replicates, suppose data_a and data_b are 20*3 matrix. Then I used the following to test the null hypothesis (they are from same distribution.): wilcox.test(x=data_a, y=data_b, alternative="g") I got pvalue = 1.90806170863311e-09. When I switched data_a and data_b by doing the following:

Dear All, Just start to use the long expected R, my focus will be doing clustering on microarray data, just wonder, anyone can show me any references to conquer the steep learning curve? Thanks! Best regards, Baoqiang Cao

Dear All, I'm learning to train a neural network with my training data by using nnet package, then evaluate it with a evaluation set. My problem here is that, I need the trained network to be used in future, so, what should I store? and How? Any other options other than nnet package? Any example will be highly appreciated! Best, Baoqiang Cao

Dear All, I have such a two-class problem, one class is very large(~98% of total), and the other is just 2%. According to manual of nnet, I need setup "weights", so I intend to set 1 for class one, 49 for class 2. How do I do that? Just weights=49? Meanwhile I'd like to try svm(e1071), again, how do I setup "class.weights"? Thanks. BTW: Many thanks to Jake and Uwe for

======= At 2005-07-22, 12:56:12 you wrote: ======= >On Fri, 22 Jul 2005, Baoqiang Cao wrote: > >> Dear All, >> >> I have such a two-class problem, one class is very large(~98% of total), >> and the other is just 2%. According to manual of nnet, I need setup >> "weights", so I intend to set 1 for class one, 49 for class 2. How do I >> do that?

Dear All, After followed the help of nnet, I could get the networks trained and, excitedly, get the prediction for other samples. It is a two classes data set, I used "N" and "P" to label the two. My question is, how do I get the predicted numerical value for each sample? Not just give me the label(either "N" or "P")? Thanks! FYI: The nnet example I

Hi Everyone, I'm trying to use cutree to get the clusters after hclust. What I used is: mycluster<-cutree(cnclust,h=0.5) Now, my problem is, how can I get the actual clusters? Thanks! Best, Baoqiang Cao

Hi There, I got some results from using nnet on a two-class problem, and I'd like to hear your comments to understand well about the algorithm. In the training set, the ratio of class 1 to class 2 is about 23:77. I did a 5-fold cross validation. The networks were trained twice, one with 'weights=1', one with 'weights=ifelse(species=="class1", 77/33, 1)'(pointed

Dear All, I'm running the latest R on WinXP by using Rgui.exe --max-mem-size=30000Mb . After read in a huge data file to a data matrix, I tried to get a subset of the data matrix but failed with: Error: cannot allocate vector of size 12079 Kb Any tips to get out of it? If helps, > memory.limit() [1] 3145728000 > memory.size() [1] 842735624 Thanks! Best, Cao

---- Original message ---- >Date: Thu, 14 Jul 2005 19:50:41 +0200 >From: Uwe Ligges <ligges at statistik.uni-dortmund.de> >Subject: Re: [R] East Asian language >To: Nan Lin <nlin at math.wustl.edu> >Cc: r-help at stat.math.ethz.ch > >Nan Lin wrote: > >> Dear all, >> >> I just installed R 2.1.1. The installation program automatically