similar to: Switch language

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

Hi all, I try to generate sets of strategies that contain probability distributions for a defined number of elements, e.g. imagine an animal that can produce 5 different types of offspring and I want to figure out which percentage of each type it should produce in order to maximize its fitness. In order to do so, I need to calculate the fitness for all potential strategies. As an example, if I

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

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

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

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

Hei R Users, i have the following dataframe: Datetime Temperature and many more collumns 1 2008-6-1 00:00:00 5 2 2008-6-1 02:00:00 5 3 2008-6-1 03:00:00 6 4 2008-6-1 03:00:00 0 5 2008-6-1 04:00:00 6 6 2008-6-1 04:00:00 0 7 2008-6-1 05:00:00 7 8 2008-6-1 06:00:00

Is there any possibility to divide too long text in a plot to two or more lines, when using labels-parameter in the text()-command? Here is an example picture: http://users.utu.fi/attenka/253.jpeg My example script is something like this: text(1,0.7,labels=Chordnames[fnid(pcs%%12)]) # according to Larry Solomon's table http://solomonsmusic.net/pcsets.htm Chordnames is a long vector with

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"

Is there some way to change the line widths of plot borders? I couldn't find any parameters for that purpose. Atte Tenkanen University of Turku, Finland

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

Dear R-users, I would like to test, whether a sample distribution differs significantly from a population distribution. They are not normally distributed. How should I proceed? Using somehow glm-models? How? The population and the sample data are here. They can be loaded using the load-command. http://users.utu.fi/attenka/D_Pop http://users.utu.fi/attenka/D_Samp Best regards, Atte Tenkanen

Dear R-users, I want to check if certain values are from random distribution, that includes values between 0-1. So, it is not really normal even though shapiro.test says it is highly normal... Can I do something like this and think that the values given are right. z.test is from package TeachingDemos. -------------------------------------------------------------------------------

Hi, What's wrong here?: > v=c(`-`,`+`,1,`^`,`^`,NA,NA,"X",9,"X",2) > i2=16 > v[i2] [[1]] NULL > is.null(v[i2]) [1] FALSE Is it a bug or have I misunderstood something? Atte Tenkanen University of Turku, Finland

Is there some (much) more efficient way to do this? VECTOR=c(3,2,4,5,5,3,3,5,1,6,6); NEWVECTOR=VECTOR[1]; for(i in 1:(length(VECTOR)-1)) { if((identical(VECTOR[i], VECTOR[i+1]))==FALSE){ NEWVECTOR=c(NEWVECTOR,VECTOR[i+1])} } > VECTOR [1] 3 2 4 5 5 3 3 5 1 6 6 > NEWVECTOR [1] 3 2 4 5 3 5 1 6 _______________________________ Atte Tenkanen University of Turku, Finland

Hello! Does nsd support ALIAS records or is there a plan to support it somewhen in the future? I didn't find anything about this topic in conjunction with nsd. Afaik there is no RFC for it and I guess therefore nsd does not support it. PowerDNS does for example: https://doc.powerdns.com/authoritative/guides/alias.html Br, Christof -------------- next part -------------- An HTML attachment

Hi! Using (among others) the pretty old SuSE8.1, I cant get puppet to install packages. The rpm programms bahaviour was changed somewhen between versions 3 and 4 (sry, don´t know exactly when) and the old version does not support the "--nosignature" and "--nodigest" params and "--oldpackage" is purely an update parameter so when trying to install a package I

Hi Christof! AFAIK, PowerDNS is the only open source name server that supports ALIAS. There was an idea to standardize ALIAS as "ANAME" (https://datatracker.ietf.org/doc/draft-ietf-dnsop-aname/), but the idea was dropped in favor of SVCB/HTTPS record https://datatracker.ietf.org/doc/rfc9460/. So now we have to wait until all Browser vendors implement SVCB/HTTPS. Regards Klaus PS: If

Hello, I have tried to change the margin widths so that mtext (here "sd of consecutive pc intervals", look at the picture) and plot(...,xlab="bar") fits to the picture. Here is an example: http://users.utu.fi/attenka/margins.png This doesn't help: par(mar=c(5.1, 7.1, 4.1, 2.1)) And here are the commands: png(filename="/Users/kone/Vaitostutkimus/Pictures/

Hi, I would like to know whether there is some deeper rationale behind or is it just an established practice that the lenghts of principal components, giving for example by prcomp-function, are normalised to 1? Best regards, Atte Tenkanen University of Turku, Finland Department of Musicology +35823335278 http://users.utu.fi/attenka/