similar to: problems in cross validation of SVM in pakage "e1071"

Dear guangchuang, I was stopped by the following error when using Package: clusterProfiler on R 2.15.3 on windows 7. Error in xzfile(file, “wb”, compression = 9) : Cannot open the connection In addition: warning message: cannot initialize lzma encoder, error 5 The too functions: Gff2GeneTable() and buildGOmap() are not working because of this error. Could you please let me know how to fix these

Hello, I want to update my samba server 3.0.7 - Suse 9.2 pro. Before I' m destroying my whole smb/ldap configuration, I ask the NG. Can I use an 3.0.13 rpm samba, samba-client package? And what's about the smb.conf after updating? Many thanks in advance Andreas

I have the problem with rcom 1.2.2 package. It does't work with R 2.2.0. Is there any opportunities to correct the work of this package? Thanks for your help. Yulia

Hi, I'm struggling with foreign to import a SAS file. The file, for lack of imagination, is d.sas7bdat and is in my root directory (c:\) under Windows XP. When I type read.ssd("c:\\", "d") which I think I'm suppose to enter, I get SAS failed. SAS program at C:\DOCUME~1\Owner\LOCALS~1\Temp\Rtmp32758\file19621.sas The log file will be file19621.log in the current

Hi all; I recently have been used 'maxLik' function for maximizing G2StNV178 function with gradient function gradlik; for receiving this goal, I write the following program; but I have been seen an error  in calling gradient  function; The maxLik function can't enter gradlik function (definition of gradient function); I guess my mistake is in line ******** ,that the vector  ‘h’ is

Dear All, It's been several times I observed a very strange behaviour with R 1.2.0 under Windows NT 4.0 (with sp5): accuracies are lost in many cases. Things are back to normal when I exit R and restart it. Here is an example of my last encounter with this: > bt1 <- c(7.3, 8.1, 8.4, 7, 6, 7.2, 6.7, 8.3, 9, 7.4, 8.6, 6.2, 6.9, 7.6, 5.3, 5.6) > bt1 [1] 7 8 8 7 6 7 6 8 9 7 8 6 6 7 5 5

Hi all - I am trying to tune an SVM model by optimizing the cross-validation accuracy. Maximizing this value doesn't necessarily seem to minimize the number of misclassifications. Can anyone tell me how the cross-validation accuracy is defined? In the output below, for example, cross-validation accuracy is 92.2%, while the number of correctly classified samples is (1476+170)/(1476+170+4) =

I am implementing an image classification algorithm using the randomForest package. The training data consists of 31000+ training cases over 26 variables, plus one factor predictor variable (the training class). The main issue I am encountering is very low overall classification accuracy (a lot of confusion between classes). However, I know from other classifications (including a regular decision

Hi, I am using lmer (from the package lme4) to predict a binary response variable (REL) from a bunch of fixed effects and two random effects (Speaker_ID and NPhead_lemma): fit <- lmer(REL ~ SPEAKER_GENDER + log(SPEECHRATE) + SQSPEECHRATE + ..... + (1|Speaker_ID) + (1|NPhead_lemma), family="binomial", data=data.lmer, method="Laplace", model=T, x=T) I

Hi Duncan, I'm not sure about this: + if (!Accuracy) + // If it's not a floating point number then it must be 'fast'. + return getFastAccuracy(); Since you allow accuracies bigger than 1 in setFPAccuracy(), integers should be treated as float. Or at least assert. Also, I'm thinking you should carry the annotation forward on all uses of an annotated result, or make

If we use the ROCR package to find the accuracy of a classifier pred <- prediction(svm.pred, testset[,2]) perf.acc <- performance(pred,"acc") Do we?find the maximum accuracy?as follows?(is there a simplier way?): > max(perf.acc at x.values[[1]]) Then to find the cutoff point that maximizes the accuracy?do we do the following?(is there a simpler way): > cutoff.list <-

Not sure if this document will be shown to any dtrace users but here is a link if you want to comment on it http://sources.redhat.com/systemtap/wiki/SystemtapDtraceComparison I have went line by line and commented on its content and in accuracies and posted it both to the systemtap email list and my blog, you can see the blogged version at

Hi all - (Re my previous question to the list, I managed to generate an ROC plot for my SVM by ranking the data using the Decision.Values property. Thanks for your responses) I have now started tuning the SVM to get optimal parameters for the RBF kernel and I ran into a problem. Whatever parameter ranges I specify, I always get the same error values for all combinations of parameters it

hi! this is a question about lda (MASS) in R on a particular dataset. I'm not a specialist about any of this but: First with the well-known "iris" dataset, I tried using lda to discriminate versicolor from the other to classes and I got approx. 70% of accuracy testing on train set. In iris, versicolor stands "between" the 2 other so one can expect lda not to perform well

Sorry, for disturbing the list again. > Also I got one suggestion of using ORDPACK at http://www.netlib.org/. It's ODRPACK at http://www.netlib.org/, not ORDPACK. Best, -- Etsushi Kato ekato at ees.hokudai.ac.jp -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hello, I'm looking for a solution for the following problem: 1) I have a folder with several csv files; each contains a set of measurement values 2) The measurements of each file belong to a position in a two dimensional matrix (lets say "B02.csv" belongs to position 2,2 3) The size of the matrix is fix 4) I cannot assure to have a csv file for each position 5) Each position

I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +

On Jan 27, 2012, at 3:40 PM, Devang Patel wrote: > [ removing cfe-dev from the cc list ] > > On Jan 27, 2012, at 1:31 PM, Dan Gohman wrote: > >> On Jan 27, 2012, at 11:20 AM, Devang Patel wrote: >> >>> >>> On Jan 26, 2012, at 2:10 PM, Dan Gohman wrote: >>> >>>> On Jan 26, 2012, at 12:54 PM, Devang Patel wrote:

Hi Renato, > I'm not sure about this: > > + if (!Accuracy) > + // If it's not a floating point number then it must be 'fast'. > + return getFastAccuracy(); > > Since you allow accuracies bigger than 1 in setFPAccuracy(), integers > should be treated as float. Or at least assert. the verifier checks that the accuracy operand is either a floating

Good Morning i am in doctorate. i want to ask for the packages of R, i tried to install it, but it appears " not found". each time i have to delete and install again the programme R. Are there another method for installing the package? thank you