similar to: factanal and plotting?

Hi there! I use an gnome-terminal for using R. When I resize the termial to the maximum size, R uses only the left side of the window. Can I tell R to use the whole window somehow? Thanks, Martin -- Ihr Partner f?r Webdesign, Webapplikationen und Webspace. http://www.roomandspace.com/ Martin Kaffanke +43 650 4514224 -------------- next part -------------- A non-text attachment was

Hi there! I have i.e. v = c(0.43554, -0.22343), and so on. Now I'd like to make a format like format(v, digits=2) but without the leading 0, so 0.43554 becomes .44, -0.22343 becomes -.22 How can I do that? runnable example for copy and paste: v = c(0.43554, -0.22343) format(v, digits=2) Thanks, Martin -- Ihr Partner f?r Webdesign, Webapplikationen und Webspace.

Hi there, When i do mean(fl[1:20], na.rm=T) sd(fl[1:20], na.rm=T) I get 20 Results, but now I'd like to know from how many numbers my mean and sd are calculated. How to I use the length() for this, or is this possible? Because there are missing values in some, but not in all columns. So there should be a different count of numbers. Thanks, Martin -- Ihr Partner f?r Webdesign,

Hi there! In my case, cor(d[1:20]) makes me a good correlation matrix. Now I'd like to have it one sided, means only the left bottom side to be printed (the others are the same) and I'd like to have * where the p-value is lower than 0.05 and ** lower than 0.01. How can I do this? And another thing: Is there a way to output that table as a latex table? Thanks, Martin -- Ihr

Hi there! I'd like to make many tests and plots, for each variables. i.E. i <- 1 repeat { print (t.test(e[i], f[i])) i <- i + 1 if (i == 21) break } but the output is: Welch Two Sample t-test data: e[i] and f[i] ... so I don't know which data was calculated. Is there a way to tell the t.test or I'll make the same with plotmeans (from the gplots library)

Hi there, When I make two correlations matrices of the same size from a <- cor(el[1:20]) b <- cor(fl[1:20]) how can I compare if this matrices are equal? Thanks, Martin -- Ihr Partner f?r Webdesign, Webapplikationen und Webspace. http://www.roomandspace.com/ Martin Kaffanke +43 650 4514224 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available

Hi there! I have two little different data. One is a computer test on people, the other is a paper and pencil test. two boxplots show me that the data is almost the same. So now I'd like to know if I could handle all data as one, by testing with ks.test: ==== > ks.test(el$angststoer, fl$angststoer) Two-sample Kolmogorov-Smirnov test data: el$angststoer and fl$angststoer D =

I am a newcomer to R trying to convert a SAS program to R. Does anyone know if there is a functional equivalent of the SAS 'Factor' procedure? For example in SAS: proc factor DATA=cor method=principal rotate=varimax proportion=0.9 scree where 'cor' is a correlation matrix (as in the R 'cor' function) This should get you a list of eigen values as well as a factor

I've read through many postings about principle component analysis in the R-help archives, but haven't been able to piece together the information I need. I'd like to recreate an SPSS-like experience of factor analysis using R. Here's what SPSS produces: 1. Scatterplots of all possible variable pairs, with regression lines. xyplot(my.dataframe) is perfect but for the lack of

Am 2013-10-28 15:42, schrieb Ilia Mirkin: > On Mon, Oct 28, 2013 at 3:45 AM, Martin Kaffanke <martin.kaffanke at gmx.at> wrote: >> Hi there, >> >> Sometimes my computer crashes since i use now ubuntu 13.10 with >> unity/compiz. > > You're on NV4C. Do you have mesa 9.2.1 or later (or pre-9.2)? If you > have 9.2.0, there are known issues with shader

hello, I've two questions today. 1) I'm trying to do a scree diagram, I did a Google for a specific command I could used to do so. All I could find is a screeplot. Are they the same command? 2) what command can I used to present a PC scores, eigenvectors of the PC scores, and component correlations? thanks! -- View this message in context:

https://bugs.freedesktop.org/show_bug.cgi?id=71382 Priority: medium Bug ID: 71382 Assignee: nouveau at lists.freedesktop.org Summary: Nouveau dmesg error, computer hangs QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: All Reporter: martin.kaffanke at gmx.at

Hi there, Sometimes my computer crashes since i use now ubuntu 13.10 with unity/compiz. dmesg tells me: [ 686.209019] nouveau E[ PBUS][0000:00:0d.0] MMIO write of 0x00000000 FAULT at 0x00b020 and later: [ 1425.565441] nouveau E[ PGRAPH][0000:00:0d.0] ERROR nsource: DATA_ERROR nstatus: BAD_ARGUMENT [ 1425.565462] nouveau E[ PGRAPH][0000:00:0d.0] ch 3 [0x00056000 compiz[1970]] subc 2

Hi, I am using R to do a principal components analysis for a class which is generally using SPSS - so some of my question relates to SPSS output (and this might not be the right place). I have scoured the mailing list and the web but can't get a feel for this. It is annoying because they will be marking to the SPSS output. Basically I'm getting different values for the component

Hi. It seems that nearly every time I try to use factanal I get the following response: >faa2db1<-factanal(mretdb1,factors=2,method="mle",control=list(nstart=25)) Error in factanal(mretdb1, factors = 2, method = "mle", control = list(nstart = 25)) : unable to optimize from these starting value(s) > In the case cited above, mretdb1 is synthetic data created

Dear R users: I'm wondering if it's possible to get the residual correlation matrix when using factanal. Since factanal assumes that the errors are normally distributed and independent (provided the factor model fits the data) this would be useful. Of course you would need to submit the data to the function to get the residuals (not just their correlation matrix), but it should be possible

Dear friends, I'm using R to produce the following Factor Analysis: > matriz.cor<-hetcor(matrix(as.factor(data), ncol=variables, byrow=T))$correlations > factanal(x=data, factors=2, covmat=matriz.cor, scores='regression') Then the screen output shows the following message: Error en factanal(x = data, factors = 2, covmat = matrix, : requested scores without

Hi Can anybody please suggest me about the documentation of "factanal.fit.mle()" (Not factanal()------ searching factanal.fit.mle() in R always leads to factanal()). Is there any function for doing principal component factor analysis in R. Regards Souvik Bandyopadhyay JRF, Dept Of Statistics Calcutta University [[alternative HTML version deleted]]

hi, Does factanal() force the user to use the formula interface if they wish to specify an na.action? v1 <- c(1,1,1,1,1,1,1,1,NA,1,3,3,3,3,3,4,5,6) v2 <- c(1,2,1,1,1,1,2,1,2,1,3,NA,3,3,3,4,6,5) v3 <- c(3,3,3,3,3,1,1,1,1,1,1,1,1,1,1,5,4,6) v4 <- c(3,3,4,NA,3,1,1,2,1,1,1,1,2,NA,1,5,6,4) v5 <- c(1,1,1,1,1,3,3,3,3,3,1,1,1,1,1,6,4,5) v6 <- c(1,1,1,2,1,3,3,3,4,3,1,1,1,2,1,6,5,4) m1

Hi, I am currently trying to execute the following command: f<-factanal(factors=k$Components$nparallel,covmat=m,n.obs=2287,rotation="varimax",control=list(opt=list(method=c("BFGS")))) but keep getting the error: L-BFGS-B needs finite values of 'fn' I can't figure out what I am doing wrong here, why isn't optim being told to use BFGS instead of L-BFGS-B...