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Dear list, I'm brand new to R (started using it few days ago...), so sorry for possibly stupid question. Anyways, I'm using R to cluster my data. I do have the dissimilarity matrix as a text file, numbers separated by space. It's at its best something like 2300x2300 matrix. Now, it seems to me, that the process of importing the matrix into R is rather slow. For the peak size of

This is maybe not directly an R problem but I have used R to try to solve it so I think somebody may be able to help. I have a mixture model with three components and a quadratic Scheffe polynomial p1x1+p2x2+p3x3+p12x1x2+p13x1x3+p23x2x3 fitted to the response. Now I'd like to compute the mixture corresponding the maximum response. Model for Y1 has the parameters p1=124.02 p2=60.973 p3=41.479

I have managed to get the master quota working, but cannot get individual user quota to do anything. Here is a line from /etc/dovecot/passwd: _kari at karico.ca:XXXXXXXXX:502:502::/var/mail/vhosts/karico.ca/kari::userdb_quota_rule=*:bytes=600M_ Also, based on this, the expire cron job says: Unknown dict module: db # 1.1.6: /etc/dovecot.conf # OS: Linux 2.6.18-92.1.18.el5.centos.plusxen i686

I am trying to fit the 4-parameter logistic model with SSfpl. The estimation is terminated with a message "step factor 0.000488281 reduced below 'minFactor' of 0.000976562". I tried to change the minFactor with nls.control(minFactor=yy) with no apparent success. A call of nls.control() without arguments always shows the value of 0.000976562. Also the estimation terminates as

Hi there, I've installed R somewhen in German but I'd like to have it in English. The installation of a new version does not change the language setting though I think I've chosen "English" in the installation process (this choice was available, right?). Can anybody give me a hint? (Error-Messages in German are not easy to get a solution for...) Antje

Is there an existing function to compute Cook-Weisberg confidence curves for non-linear model parameters in R? Kari Ruohonen -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !)

Hi, How do you get the most common row from a matrix? If I have a matrix like this array(1:3,dim=c(4,5)) [,1] [,2] [,3] [,4] [,5] [1,] 1 2 3 1 2 [2,] 2 3 1 2 3 [3,] 3 1 2 3 1 [4,] 1 2 3 1 2 in which rows 1 and 4 are similar, I want to find that vector c (1,2,3,1,2). Atte Tenkanen University of Turku, Finland

I'd like to pick every imbricated five character long subsets from a vector. I guess there is some efficient way to do this without loops... Here is a for-loop-version and a model for output: VECTOR=c(1,4,2,6,5,0,11,10,4,3,6,8,6); ADDRESSES=c(); for(i in 1:(length(VECTOR)-4)){ ADDRESSES[i]=paste(VECTOR[i:(i+4)],collapse="") } > ADDRESSES [1] "14265"

Hi, I have data that looks like this: ASA1 ASA2 C1_C2 C M 9.0225 S S 2.4315 M C 3.4894 M S 4.5282 C M 1.3183 C S 1.3735 S C 1.0488 S M 7.948 M C 4.5827 I need to plot Boxplots for a given ASA1 (either C,S, or M) with respect to C1_C2. However, instead of one boxplot I want to plot

I don't want to bother anyone with specific questions because I am a R newbie and I see that there is TON ( emphasis on Ton ) of documentation out there but could someone just tell me the best placed to look/read for learning about ( for R-2-2.1 in Windows ) .Rprofile .REnviron. .Rdata .First function ( analogous to the one in Splus ). Analog of Splus Chapter Basically, I want to

I have recently upgraded samba to 3.6.23-9.el5_11 and have noticed all new users created can not be seen with using the samba config tool within CentOS or within the samba webmin module. I can manually log in and look the account information within the smbpasswd file and can query it using pdbedit. I need to be able to edit this information from within the webmin module as there are a number

Is it possible to plot an image (currently a jpeg) in the margins? Thanks, Kari [[alternative HTML version deleted]]

Hi, Can somebody tell me, which is the fastest way to make comparisons between all rows in a matrix (here A) and put the results to the new symmetric matrix? I have here used cosine distance as an example, but the comparison function can be any other, euclidean dist etc. A=rbind(c(2,3),c(4,5),c(-1,2),c(5,6)) M=matrix(nrow=length(A[,1]),ncol=length(A[,1])) for(i in 1:length(A[,1])) { for(j in

Dear all, I did a non-linear least square model fit y ~ a * x^b (a) > nls(y ~ a * x^b, start=list(a=1,b=1)) to obtain the coefficients a & b. I did the same with the linearized formula, including a linear model log(y) ~ log(a) + b * log(x) (b) > nls(log10(y) ~ log10(a) + b*log10(x), start=list(a=1,b=1)) (c) > lm(log10(y) ~ log10(x)) I expected coefficient b to be identical

Could somebody program this kind of plot type to R, if none exists, based on mds or correlation tables or some more suitable method? What do you think about idea? Does it work? None similar or better exists? http://weightedassociationmap.blogspot.com/ Atte Tenkanen University of Turku, Finland

After launching the command several times, with debug (posted by new code in a new branch for the investigation) confirming that the same daemon handles operations from the new client instances, its strace now has numerous FDs to report after select() - so I guess it is a problem of detecting an exit of the counterpart. 0.000000 [D2] parse_at: is 'heartbeat at localhost' in AT

After launching the command several times, with debug (posted by new code in a new branch for the investigation) confirming that the same daemon handles operations from the new client instances, its strace now has numerous FDs to report after select() - so I guess it is a problem of detecting an exit of the counterpart. 0.000000 [D2] parse_at: is 'heartbeat at localhost' in AT

Hi, I wonder if predict.gam is supposed to work with family=negbin() definition? It seems to me that the values returned by type="response" are far off the observed values. Here is an example output from the negbin examples: > set.seed(3) > n<-400 > dat<-gamSim(1,n=n) > g<-exp(dat$f/5) > dat$y<-rnbinom(g,size=3,mu=g) >

Hi, Great work Jim! I?m glad you could reproduce the problem and found a potential culprit. Just for my own interest I restored upsshed from my backups (version 2.7.4-13) and it seems to running ok, so no big runtime changes regarding that with Debian 12. It is not hogging CPU. From the daemon log the heartbeat seems to be working ok. Only difference between the old logs (pre Debian 12 update)

Hi, Great work Jim! I?m glad you could reproduce the problem and found a potential culprit. Just for my own interest I restored upsshed from my backups (version 2.7.4-13) and it seems to running ok, so no big runtime changes regarding that with Debian 12. It is not hogging CPU. From the daemon log the heartbeat seems to be working ok. Only difference between the old logs (pre Debian 12 update)