similar to: For-loop

>Hi Petr, > >thank you, I got it. In fact I was looking for the function aggregate() which I didn't know. > >aggregate(x = t(data), by = list(cov$Month, cov$Area), FUN = "sum") > >that is doing exactly what I need. > >Anne >-----Urspr?ngliche Nachricht----- >Von: "Petr PIKAL" >Gesendet: 20.12.2010 14:23:50 >An: "Anne-Christine

Hello, I have a multi-year dataset (see below) with date, a data value and a flag for the data value. I want to find the monthly median for each month in this dataset and then plot it. If anyone has suggestions they would be greatly apperciated. It should be noted that there are some dates with no values and they should be removed. Thanks Emily > print ( str(data$flow$daily) )

can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':

Hi, Excuse me for asking this silly question. But I really couldn't understand why cov() and ccov() don't work for my calculation of covariance matrix. a <- matrix(1:8, 2, 4) a [,1] [,2] [,3] [,4] [1,] 1 3 5 7 [2,] 2 4 6 8 > ccov(a) Error in solve.default(cov, ...) : Lapack routine dgesv: system is exactly singular I also tried colume bind, but it

Dear helpers in this forum, This is a clarified version of my previous questions in this forum. I really need your generous help on this issue. > Suppose I have the following data set: > > id x y > 023 1 2 > 023 2 5 > 023 4 6 > 023 5 7 > 412 2 5 > 412 3 4 > 412 4 6 > 412 7 9 > 220 5 7 > 220 4 8 > 220 9 8 > ...... > Now I want to compute the

Dear R users, I face to a nested pattern and despite the numerous examples in the help I am still confused. I sampled bugs in different habitats within sites which were within rivers themselves within different regions. The habitat correspond to different substrata (not systematically present in all sites). For rivers and sites, I have environemental variables (e.g. altitude and slope of

Hello everyone. I would like to find the sample covariance matrix using R. So far I read on the wikipedia what a sample_covariance is http://en.wikipedia.org/wiki/Sample_covariance according to wikipedia one vector is enough to calculate the sample covariance matrix. In R I tried cov(myvector) and I get the reply that I need to pass either two argument or one matrix with x,y values . How can I

Hello all, I am very new to R and i am facing two problems. First i didn't succeed changing the konsole language in english even after trying the line command set language='en'. I would like to plot ROC curves. I have a serie of 10 threshold tests that i do for 10 patients. The prediction for the patients is always the same but the status can change given to the considered threshold.

Hi, I'm using the "ncdf" library for creating ncdf files. But I need to create about 100 variables per file (e.g. single rivers), So I do not like to create each variable separately. Unfortunately I found no way to make this work, as I'm unable to create a correct list of class "var.ncdf". ###code piece river=list(mode='var.ncdf', length=nriv)

Hallo, I didn´t found any facilities for Halbergs cosinor analysis in R. This analysis is well known in the Chronobiology as the least square approximation of time series using cosine function of known period (in my case of 24hours-period). I tried to write a script but crashed... Can you give me some advices, please!? Thanks Anne Berger Institute of Zoo- and Wildlife Research, Berlin, Germany

Hi! Something funny happens to me in lnme. I don't know if it's a bug or not. Here's a short sketch of the problem (you could skip the introduction and just go to the models): I'm counting the number of spider webs ( = response variable) along two rivers, with a two-level treatment: free-flowing and dammed. There are three field sites (random factor) along each river, and

I do not understand some colums in the output to ''shorewall show connections'' /root> shorewall show connections Shorewall-2.0.2f Connections at firewall - Mon Jan 3 13:12:52 PST 2005 .. tcp 6 353296 ESTABLISHED src=112.129.244.121 dst=224.81.133.205 sport=3647 dport=443 src=224.81.133.205 dst=112.129.244.121 sport=443 dport=3647 [ASSURED] use=1 I would like to know

Hello, I'm trying to set up the flowwing data structure in R: A data frame with 7,000 rows and 4 colums. The rownames have some special meaning (they are names of genes). The 1st column per row is itself a data frame, and columns 2 to 4 will keep numeric values. The data frame contained in the 1st column will have 54 rows (with special names) and 4 colums (1st col is a response, cols 2- 4

Hello, I've a data frame with 15 colums and 6000 rows, and I need the data in a single vector of size 90000 for ttest. Is there such a conversion function in R, or would I have to write my own loop over the colums? thanks for your help + kind regards Arne

Hi, I need some help to export a data frame with 83 rows and 1411 colums. I have used the package RODBC until now. But now, I have 1411 colums that I can't send to the old excel. If anybody knows a package to convert my data frame in xlsx tell me! Thanks for help in advance! Pamela Botrel -- View this message in context:

Hello, I have a vector {a, b1, b2, b3, b4}. How can I calculate the following matrix: var(a) cov(a, b1) cov(a, b2) cov(a, b3) cov(a, b4) cov(a, b1) var(b1) cov(a, b2) cov(a, b3) cov(a, b4) ... ... cov(a, b1) cov(a, b2) cov(a, b3) cov(a, b4) var(b4) I would very appreciate your inputs. Thank you very much. Sincerely, Jialin Huang [[alternative HTML version deleted]]

Dear Mr. Therneau, Mr. Fox, or to whoever, who has some time... I don't find a solution to use the "survfit" function (package: survival) for a defined pattern of covariates with a Cox-Model including a time dependent interaction term. Somehow the definition of my "newdata" argument seems to be erroneous. I already googled the problem, found many persons having the

Dear R community Have just recently got back into R after a long break and have been amazed at how much it has grown, and how active the list is! Thank you so much to all those who contribute to this amazing project. My question: I am trying to calculate Mahalanobis distances for a matrix called "fgmatrix" >dim(fgmatrix) [1] 76 15 >fg.cov <- cov.wt(fgmatrix)

Hi All, I've the following data frame with 54 rows and 4 colums: > x Ratio Dose Time Batch R.010mM.04h.NEW 0.02 010mM 04h NEW R.010mM.04h.NEW.1 0.07 010mM 04h NEW ... R.010mM.24h.NEW.2 0.06 010mM 24h NEW R.010mM.04h.OLD 0.19 010mM 04h OLD ... R.010mM.04h.OLD.1 0.49 010mM 04h OLD R.100mM.24h.OLD 0.40 100mM 24h OLD I'd

rkotler at mipsswbrd006-le:~/caviumllvm/build/test$ make Making LLVM 'lit.site.cfg' file... Making LLVM unittest 'lit.site.cfg' file... ( ulimit -t 600 ; ulimit -d 512000 ; ulimit -m 512000 ; ulimit -s 8192 ; \ /usr/bin/python /home/rkotler/workspace/llvm/utils/lit/lit.py -s -v . ) XPASS: LLVM :: tools/llvm-cov/llvm-cov.test (8916 of 9784) ******************** TEST