similar to: [libsvm] predict function error

Steffen, When the new biomaRt tries to load it errors out because I do not have RMySQL installed. There is not a Windows binary for RMySQL and it does contain C code that I do not know how to build. I do not use the MySQL option in biomaRt. Does RMySQL need to be a required dependency? Below is my screen output and sessionINfo. require(biomaRt) Loading required package: biomaRt Loading required

Sometimes, for specific models, I get this error from predict.gam in library mgcv: Error in complete.cases(object) : negative length vectors are not allowed Here's an example: model.calibrate <- gam(meansalesw ~ s(tscore,bs="cs",k=4), data=toplot, weights=weight, gam.method="perf.magic") > test <- predict(model.calibrate,newdata) Error in

Hi, I can run the code some days ago . But cant run now.  Problem 1: Output is ok ensembl = useDataset("hsapiens_gene_ensembl",mart=ensembl) utr5 = getSequence(chromosome=3, start=185514033, end=185535839, type="entrezgene",seqType="5utr", mart=ensembl)  Output :                                                                                                5utr

I use R 2.3.0 under windows. > Sys.getlocale() [1] "LC_COLLATE=Chinese_People's Republic of China.936;LC_CTYPE=Chinese_People's Republic of China.936;LC_MONETARY=Chinese_People's Republic of China.936;LC_NUMERIC=C;LC_TIME=Chinese_People's Republic of China.936" > localeToCharset() [1] "CP936" Now I want to use JGR,which uses UTF-8 encoding. So when I use

hii all!!! could anyone tell me how to use libsvm in R.. i am not able to find good way to use it.... -- View this message in context: http://r.789695.n4.nabble.com/about-libsvm-tp3007214p3007214.html Sent from the R help mailing list archive at Nabble.com.

Hi all, It is recommended in ?'if' that we use 'else' right after '}' instead of starting a new line, but I noticed deparse() will separate '}' and 'else' when the 'if...else' clause is used inside {...} (e.g. function body). Here is an example: ## if/else inside {} > cat(deparse(parse(text='function(){if (TRUE) {1} else {2}}')),

>example(lm) Error in switch(x[2], "1250" = return("ISO 8859-2"), "1251" = return("KOI8-U"), : argument is missing, with no default > Sys.getlocale(category = "LC_ALL") [1] "LC_COLLATE=Chinese_People's Republic of China.936;LC_CTYPE=Chinese_People's Republic of China.936;LC_MONETARY=Chinese_People's Republic of

Hi Everyone, I want to get the commands history as a character vector instead of just displaying them, but the function history() just returns NULL. I checked the source code of 'history' and could not find a solution. Anybody has an idea? Thanks! P. S. My original problem is, when a user opens a graphics device like png() or pdf(), I want to know the file name used by this device. I

It try to put all basicblock in a switch in a loop, like that for example: int main() { if(something) somethingelse: else another; } become: int main() { while(true) { switch(var) { case 0: if(something) var+=1; else: var+=2; break; case1:

I used the c binary svm-train in LIBSVM to create a model file. How do I load this model file into R? Is there a function in R package e1071 that accomplishes this operation? Thanks, Yin -- View this message in context: http://r.789695.n4.nabble.com/Loading-externally-created-LIBSVM-model-into-R-tp4407853p4407853.html Sent from the R devel mailing list archive at Nabble.com.

Dear all, I get the error when I use maxent.jar: Error .jcall(mxe, "S", "fit", c("autorun", "-e", afn, "-o", dirout, : java.lang.NoSuchMethodError: density.Params.readFromArgs([Ljava/lang/String;)Ljava/lang/String; sessionInfo() result: R version 2.14.0 (2011-10-31)Platform: i386-pc-mingw32/i386 (32-bit)locale:[1]

Hello all, I'm working with the svm (libsvm) implementation from library(e1071). Currently I'm trying to extend recursive feature elimination (R-SMV) to work with multiclass classification. My problem is that if I run svm for a 3 class problem I get a 2-D vector back from model$coefs, can someone explain me what this values are? I understand them in the 2-class problem where this is a

Hello, When calling several times the svm() function, I get different results. Do I miss something, or is there some random generation in the C library? In this second hypothesis, is it possible to fix an eventual seed? Thank you Pierre ### Example library('e1071') x = rnorm(100) # train set y = rnorm(100) c = runif(100)>0.5 x2 = rnorm(100)# test set y2 = rnorm(100) # learning a

Dear R Developer, It seems to be a problem with help file. Not sure if it is related to the new format of Rd parser. Multiple lines are joined together without proper line break. > ?mean There were 14 warnings (use warnings() to see them) ## All lines are joined together and not easy to read. > warnings() Warning messages: 1: In grepl("^[[:blank:]]*$", buffer[length(buffer)]) :

Hi there, With the helps from this list, I can set specific CJK fonts for character string using text() function. for example: song <- CIDFont("SimSun", "GBK-EUC-H", "GBK", "") postscriptFonts(song = song) postscript("test.ps", height = 7, width =7, family = "Times", fonts = c("song"), horizontal = FALSE, onefile =

Dear John Fox, these is still error in Rcmdr package when locale is cp936. > Loading required package: tcltk > Loading Tcl/Tk interface ... done > Error in parse(file, n, text, prompt) : syntax error on line 5090 > Error: unable to load R code in package 'Rcmdr' > Error: package/namespace load failed for 'Rcmdr' > version _ platform

Hi everyone, I want to modify two base R functions 'parse' and 'deparse' immediately after R has started, so I added some code in the file 'Rprofile.site' under the 'etc' directory. Here is a simple example: parse=function(...){ base::parse(...) } I'll get an error when I start R as follows: Error: cannot change value of locked binding for

I needed to compute a complicated cross tabulation to show weighted means and standard deviations and the only method I could get that worked uses a series of nested for next loops. I know that there must be a better way to do so, but could use some assistance pointing the way. Here is my working, but inefficient script: library(Hmisc) rm(list=ls()) load('NHTS.Rdata') day.wt <-

Hi Steve, On 2019/12/17 22:40, Steven Price wrote: > On Tue, Dec 17, 2019 at 01:55:49PM +0000, yezengruan at huawei.com wrote: >> From: Zengruan Ye <yezengruan at huawei.com> >> >> Support the vcpu_is_preempted() functionality under KVM/arm64. This will >> enhance lock performance on overcommitted hosts (more runnable vcpus >> than physical cpus in the

Support the vcpu_is_preempted() functionality under KVM. This will enhance lock performance on overcommitted hosts (more runnable vcpus than physical cpus in the system) as doing busy waits for preempted vcpus will hurt system performance far worse than early yielding. Use one field of struct kvm_steal_time to indicate that if one vcpu is running or not. unix benchmark result: host: kernel