similar to: How to create arbitrary number of loops

Dear R users, I'm wondering how I can generate an arbitrary number of loops in R. For instance, I can generate two "for" loops to get ICC among any two-way combination among 10 variables. Here is the code n<-10 for (i in 1:(n-1)) { for (j in (i+1):n) { icc(cbind(DATA[,i],DATA[,j])) } } If I need three-way combination, then a code with three "for" loops will be:

Dear R users, I have a microRNA (similar to microarray) data set with gene expressions and group variables. I'd like to perform (class) prediction analysis to see which genes or gene sets predict the group variable well. I'm at the beginner level. Is there any free software in R or in point/click format that is commonly used and highly recommended? I googled this topic and found

Hi sbr-services, Could you give me some idea? ### abrt reported the error as below. [root at cupop4 log]# abrt-cli list --since 1488267244 id ad716dbfd3a68bbe0f055e32ebfe562f4f75df43 reason: imap killed by SIGBUS time: Sun Mar 19 2017 10:58:27 AM JST cmdline: dovecot/imap package: dovecot-2.2.10-7.el7 uid: 80180 (acaa2325) count: 2 Directory:

I have 2 DCs running 4.1.12 that have stopped replicating and are producing these error messages: from dc1: Failed to commit objects: WERR_GENERAL_FAILURE/NT_STATUS_INVALID_NETWORK_RESPONSE [2014/09/23 10:43:35.530000, 0] ../source4/rpc_server/drsuapi/getncchanges.c:1646(dcesrv_drsuapi_DsGetNCChanges) ../source4/rpc_server/drsuapi/getncchanges.c:1646: DsGetNCChanges 2nd replication on

Dear R users, When I run the code below, I get the error "Error in integrate(integrand, 0, Inf) : non-finite function value". The code works if the function returns only "sum(integ)". However, I want to add "cmh" to it. When I add "cmh" I get that error. I can't figure out why this is happening because my integrate function has nothing to do with

In SAS, for a two-way (or 3-way, stratified) table, the CMH option in SAS PROC FREQ gives 3 tests that take ordinality of the factors into account, for both variables, just the column variable or neither. Is there an equivalent in R? The mantelhaen.test in stats gives something quite different (a test of conditional independence for *nominal* factors in a 3-way table). e.g. I'd like to

I am reading dates in Excel2007 into R. Here are the functions I used: library(RODBC) channel<-odbcConnectExcel2007("myfile.xlsx") tmp<-sqlFetch(channel,"1",as.is=T) The dates in myfile.xlsx are all in this format: mm/dd/yyyy. But when I read it to R, some columns look like "yyyy-mm-dd 00:00:00", some columns look like "yyyy-mm-dd", and some

Dear all, I always encounter a crash when running hazard.ratio.plot from rms package with my predictor as a factor. It works fine when the predictor is a continous score. Anyone encounters this too? Is this a bug or something? Thanks, Lilian [[alternative HTML version deleted]]

I know that this maybe a trivial question. I am not able to plot pedices in graph axes. Instead I am able to plot different math symbols : XLABEL <- expression(paste(cmH,lim(f(x), x %->% 0),"O PEEP")) works well XLABEL <- expression(paste(cmH,[2],"O PEEP")) is considered a wrong expression. Thanks

Hello Everyone, Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am getting horrible system performance.? /var/log/messages is full of HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like this: Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped Apr 22 08:55:04 daisy ata_id[21513]: HDIO_GET_IDENTITY failed for '/dev/sdb' Apr 22

>> Hello Everyone, >> >> Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am >> getting horrible system performance.? /var/log/messages is full of >> HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like >> this: >> >> Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped >> Apr 22 08:55:04

http://bugs.freedesktop.org/show_bug.cgi?id=10933 Summary: nouveau defaults to first graphics card in system even when xorg instructed differently Product: xorg Version: 7.2 Platform: Other OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

Hello and thanks for helping. #some data L3 <- LETTERS[1:3] dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE))) #When x==1 and y==1 I want to replace the 1 values with NA #I can select the rows I want: dat2<-subset(dat1,x==1 & y==1) #replace the 1 with NA dat2$x<-rep(NA,nrow(dat2) dat2$y<-rep(NA,nrow(dat2) #select the other rows and rbind

Hello help, I have changed around some graphing code and made it into a function. Previously they y label of the axis was inserted as text in its own layout box. text(1,1, expression(~degree~C),cex=1) This worked great and resulted in the symbol for degree. In the function, I have changed it so: text(1,1,paste(b_unit),cex=1) and b_unit<-expression(~degree~C) This now inserts ~degree~C

Hi, According to daisy function from cluster documentation, it can compute dissimilarity when NA (missing) value(s) is present. http://stat.ethz.ch/R-manual/R-devel/library/cluster/html/daisy.html But why when I tried this code library(cluster) x <- c(1.115,NA,NA,0.971,NA) y <- c(NA,1.006,NA,NA,0.645) df <- as.data.frame(rbind(x,y)) daisy(df,metric="gower") It gave this

Hello, I've tried to analyze some data with a CMH test. My 3 dimensional contingency tables are 2x2xN where N is usually between 10 and 100. The problem is that there may be 2 strata with opposite counts (the 2x2 contigency table for these are reversed), producing opposite odds ratios that cancle out in the overall statistics. These opposite counts are very important for my analysis, since

Hi, I'm using the cluster library to examine multivariate data. The data come from a connection to a postgres database, and I did a short R script to do the analisys. With the cluster version included in R1.8.0, daisy worked well for my data, but now, when I call daisy, I obtain the following messages: --------- Error in if (any(sx == 0)) { : missing value where TRUE/FALSE needed In

Hi All - I am using the daisy function from the cluster library to create a dissimilarity matrix. I'm going to use that matrix to run a cluster analysis. My participants are identified with the variable, hhid. However, when I try to keep hhid in the dataset that I use to create the dissimilarity matrix, daisy uses it to create the matrix rather than ignoring it as an ID variable. I need to

http://bugs.freedesktop.org/show_bug.cgi?id=10858 Summary: glxgears with mesa-git on PCI 10de0322 (NV34) GeForce FX 5200 crashes X Product: xorg Version: 7.2 Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

Hello, I am not sure where to begin with this problem or what to search for in r-help. I just don't know what to call this. If I have 5 columns, the first 2 are the x,y, locations and the last three are variables about those locations. x<-seq(1860,1950,by=10) y<-seq(-290,-200,by=10) ANN<-c(3,0,0,0,1,0,1,1,0,0) CTA<-c(0,1,0,0,0,0,1,0,0,2) GLM<-c(0,0,2,0,0,0,0,1,0,0)