similar to: Problem in installing R add-on package(not from CRAN)

Hello, I just tried to install R (unix version), but I have not successed. I download the file and uncompresssed it in a R folder. then I used the following commands: ./configure make The attached are error message: Could any one tell me how to fix it?? Thanks R is now configured for sparc-sun-solaris2.6 Source directory: . Installation directory: /usr/local C compiler:

Hi there, How to solve the conflicts as to the same object between two packages, for example, like margins in both randomForest and supclust? When both libraries are installed, supclust will complain "margins" defined in randomForest. I can only solve it by re-starting R, which is very inconvenient, any clever way? Thanks, Weiwei -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc.

Hi, I am using dlda algorithm from supclust package and I am wondering if the output can be a continuous probability instead of discrete class label (zero or one) since it puts some restriction on convariance matrix, compared with lda, while the latter can. thanks, -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..."

Hi, I have a dataset which has more than two clusters (say 3 clusters). I used kmeans to cluster the dataset. I am wondering how I can plot the clustering result on a two-dimensional figure???? The example in the kmeans help file is as follows: x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2), matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2)) cl <- kmeans(x, 2, 20)

Could any one tell me there is a search function for R-help Archives? Thanks

Hi, I am using kmeans to cluster a dataset. I test this example: > data<-matrix(scan("data100.txt"),100,37,byrow=T) (my dataset is 100 rows and 37 columns--clustering rows) > c1<-kmeans(data,3,20) > c1 $cluster [1] 1 1 1 1 1 1 1 3 3 3 1 3 1 3 3 1 1 1 1 3 1 3 3 1 1 1 3 3 1 1 3 1 1 1 1 3 3 [38] 3 1 1 1 3 1 1 1 1 3 3 3 1 1 1 1 1 1 3 1 3 1 1 3 1 1 1 1 3 1 1 1 1 1 1 3

Does R have a comparison operator similar to the Like function, for example: a<-"Is a Fish" b<-"Fish" if(b in a){c<-TRUE} Michael R Howard Micron Technology Inc. Boise ID. Fab C Engineering Software (FCES) Software Engineer

Hi Guys, Recently I wrote a package for dealing with Markov Switching Regressions in R and it is included in the Rmetrics project. https://r-forge.r-project.org/projects/rmetrics/ Everything works fine when I use it in computer. But, the package depends on the use of optimization functions from the package Rdonlp2, which is not available on CRAN. So, if I have Rdonlp2 in my laptop (or any

Hi useRs, Many studies of the link between red meat and colorectal cancer use Cox proportional hazards with (among other things) a gender covariate. If it is true that men eat more red meat, drink more alcohol and smoke more than women, and if it is also true that alcohol and tobacco are known risk factors then why does it make sense to "adjust" for gender? I would think that in this

Hi All, I a C function code, which has been successed in integrating with Splus on Unix. Now I want to move it on windows. So I want to integrate this C function with R on windows XP. I download tools.zip and saved it in c:\bin directory, download MinGW and saved it in c:\MinGw directory, download Perl and saved it in c:\Perl directory. My path is set as:

Hi, I have a factor and I would like to find the most frequent level. I think my current approach is a bit long winded and I was wondering if there was a more elegant way to do it: x <- factor(sample(1:0, 5,replace=TRUE)) levels(x)[ which( as.logical((table(x) == max(table(x)))) == TRUE ) ] (The length of x will always be an odd number, so I wont get a tie in max()) Thanks,

I have data in a file named hands.dat, which is given at the end of this question. (It's from a stats textbook example on anova). I'd like to do an aov on this, which I guess would be d <- read.table("~/hands.dat", header=TRUE) aov(Bacterial.Counts ~ Water + Soap + Antibacterial.Soap + Alcohol.Spray, data=d) but this fails. Do I need to break d$Method up into columns for

Dear all I have a character vector of dates something like: timevec<-c("15.5.2003 00:00", "15.5.2003 00:01", "15.5.2003 00:02", "15.5.2003 00:03","15.5.2003 00:04") and I would like to transform it to some more convenient date class. Is there a way how to do it directly without previous reformating to ISO like structure and adding a

the data is : >table.8.3<-data.frame(expand.grid( marijuana=factor(c("Yes","No"),levels=c("No","Yes")), cigarette=factor(c("Yes","No"),levels=c("No","Yes")), alcohol=factor(c("Yes","No"),levels=c("No","Yes"))), count=c(911,538,44,456,3,43,2,279))

Dear All I am trying to include sampling weights in multilavel regression analysis using packege lme4 using following codes print(fm1 &lt;- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting), dataset,REML = FALSE), corr = FALSE) print(fm2 &lt;- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting), dataset,REML = FALSE), corr = FALSE,weights=sweight) The problem is both the

This is probably very simple but I'm new to R so apologies for being stupid. I have some data with No coded as 0 and yes coded as 1. e.g. id sex alcohol smoker 1 M 0 1 2 F 1 0 3 M 0 0 I realise I can covert the numerical variable back to a factor by falcohol<-factor(alcohol,levels=0:1) levels<-c("No","Yes")

Hi, I think I have configured everything correctly but for some reason I can?t get a list of the shared mailboxes to show up. When I run: doveadm acl debug -u m.markov Shared/d.marteva/INBOX doveadm(root): Debug: Skipping module doveadm_fts_plugin, because dlopen() failed: /usr/lib/dovecot/modules/doveadm/lib20_doveadm_fts_plugin.so: undefined symbol: fts_backend_rescan (this is usually

Dear Oscar,   Thanks for your help.It's so nice of you to explain this package to me.   Best Regards,   James LAN 发件人： Oscar Rueda [via R] <ml-node+s789695n4431468h14@n4.nabble.com> 收件人： monkeylan <lanjinchi@yahoo.com.cn> 发送日期： 2012年2月29日, 星期三, 下午 9:21 主题: Re: Bayesian Hidden Markov Models Dear James, The distances are normalized between zero and 1, so in your case all of

On 08/13/2017 05:18 AM, ken wrote: > Also, cowboys scoff, but I always wear a grounded wrist strap when > handling electronics. It's a good idea, especially in low-humidity climates. Also noteworthy: the air moving through a hose can cause a vacuum's hose or attachment to build up a static charge, which is another reason it can be a bad idea to use a vacuum in a computer.

I don?t seem to have that install on my Debian machine. But I have done this: 1 LIST "" % * LIST (\HasNoChildren) "/" confirmed-spam * LIST (\HasChildren) "/" Archive * LIST (\HasNoChildren \Sent) "/" Sent * LIST (\HasChildren \Trash) "/" Trash * LIST (\HasNoChildren) "/" Spam * LIST (\HasChildren) "/" Archives * LIST