similar to: Correlation coefficient of large data sets

I am aware of .packages(all.available = TRUE) but I would like to just ask .packages('base') and get TRUE or even better check a list of packages and get a true/false list back. Is there a way to do this? *Vincent Davis 720-301-3003 * vincent@vincentdavis.net my blog <http://vincentdavis.net> | LinkedIn<http://www.linkedin.com/in/vincentdavis> [[alternative HTML version

hi, suppose you have a for-loop like this: for(i in1:x) {} ... now you want to generate a variable in every cycle (since you do not know the size of x in beforehand you have to do this dynamically). the variable should e.g. look like this: variableName1<-c() (if x==1) variableName2<-c() (ifx==2) variableName3<-c() (if x==3) .. .. i tried this(which obviously didn't work):

Hi, I'm trying to make a boxplot with the data at the end of the message, and when I try to execute the command >boxplot(Diatoms) (or for any other field instead of "Diatoms") I get the following error message: Error in oldClass(stats) <- cl : adding class "factor" to an invalid object Any advice would be much appreciated. Thanks a lot, Miriam Date

Hi, I read somewhere that when carrying out geostatistical analysis in R you should not use latitude and longitude...can anyone expand on this a little for me, and what would be the best coordinate system to use? I have my data in a geographic coordinate system, WGS84, decimal degrees....is this the wrong format for such analyses? I have also converted my data in the UTM projection and so have

I have a univariate binary (1,0) 230,000 records, I need to make 20,000 iterations of random sampling of a fixed size. Where I put the result of the sum of selected records for each repetition Thank's _________________________________________________________________ of your life [[alternative HTML version deleted]]

Hello, I need your help! Probably the answer is quite easy, but still ... How can I sample two (or more) vectors of data from a normal distribution so they are correlated with an exact value I select (for example pearson's r = .30)? Thanks! James [[alternative HTML version deleted]]

Hello, I would be grateful if anybody can help me in finding an R function to compute weighted Spearman correlation coefficient? Kind regards, Daniel

Dear R-listers Is there a R-package that I can use to compute a weighted correlation coefficient along with its p-values? I want to be able to assign weights to the data points before computing a Pearson correlation coefficient. Thanks in advance. Young-Jin [[alternative HTML version deleted]]

Hello. I have got two problems in bootstrapping from dependent data sets. Given two time-series x and y. Both consisting of n observations with x consisting of dependent and y consisting of independent observations over time. Also assume, that the optimal block-length l is given. To obtain my bootstrap sample, I have to draw pairwise, but there is the problem of dependence of the x-observations

veepsirtt wrote: > > corr <- cor(s1,s2) > Error in cor(s1, s2) : incompatible dimensions > > Check lenghts of your series. cor(c(1,2),c(1,2,3)) #Error in cor(c(1, 2), c(1, 2, 3)) : incompatible dimensions Dieter -- View this message in context: http://r.789695.n4.nabble.com/Finding-the-correlation-coefficient-of-two-stocks-tp3246992p3247042.html Sent from the R help

Hi, I am trying to figure out how to get the correlation coefficient for a QQ plot (residual plot). So to be more precise, I am creating the plot like this: qq.plot(rstudent(regrname), main = rformula, col=1) But want to also access (or compute) the correlation coefficient for that plot. Thanks, Tom [[alternative HTML version deleted]]

How do I get non-squared correlation coefficient in some more sensible way than sqrt(summary(lm(y~x))$r.squared)? Thanks Matej -- Matej Cepl, matej at ceplovi.cz, Finger: 89EF 4BC6 288A BF43 1BAB 25C3 E09F EF25 D964 84AC 138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488 The difference between death and taxes is death doesn't get worse every time Congress meets -- Will

Hi All, a colleague asked me if R has a function producing a Partial Rank Correlation Coefficient, sensu Blower and Dowlatabadi 1994 [1]. I personally would not have a clue, and I could not find something like that on the search page... although I would not be surprised if it's there under a different name. Incidentally, unfortunately the function, assuming it exists, is to be fed to some

Howdy Gurus ! I have a different correlation result from the same data. The "corridor1" string variable is expressed as a number like the "corridor2" number variable. -------------------------------------------------------------------------- > levels(corridor1) [1] "A" "B" "C" "D" "E" "F" >

I want the standard error associated with a correlation. I can calculate using cor & var, but am wondering if there are libraries that already provide this function. [[alternative HTML version deleted]]

Hi All, I have got matrix 'data' of dimension 22000x600. I want to make 50 independent samples of dimension 22000x300 from the original matrix 'data'. And then want to calculate pearsons CC for each of the obtained 50 matrices. It seems it is possible to do this using 'boot' function from library boot but I am not able to figure out how? I am really stuck. Please help!

I have the following code:   ## to check correlation between the simulated uniform data x2 <- uni[,1] ; x2[1:10] y2 <- uni[,2] ; y2[1:10] result2 <- boot(cbind(x2,y2), f, 20) # get 95% confidence interval boot.ci(result2, type="bca") cor.test(x2,y2, method="pearson", conf.level=0.95)   part of my data:   > x2 <- uni[,1] ; x2[1:10]  [1] 0.63933145 0.71677785

Hi, I'm currently trying to find/define a relationship between one dependent and several independant variables. The problem is that i cannot use the normal multiple regression/correlation in Spss because the data is not normal distributed. i calculated the spearman roh and Kendalls tau Correlation and also some partial correlations in R. Now i wanna find out the the multiple correlation

Dear All, How to calculate multiple correlation coefficient R, using R. regards, Sukumar [[alternative HTML version deleted]]

Hello, I found an interesting program on Pierre Legendre's webpage: http://www.bio.umontreal.ca/casgrain/en/labo/corr_permute.html With this program one can compute a "Pearson correlation coefficient matrix with permutation test". This is exactly what I need as an R-package because so far I have only analyzed my data with the function cor(). However, I need additional