similar to: Spearman correlation confidence interval

?"=", ?"==", ?"!=", ?">=", and ?"<=" sends me to the documentation for ?help on Windows, while returning the correct documentation on Linux. Robert > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

The following can't be right, first rw2010: > 1 %% 0.001 [1] 0.001 Then rw2001: > 1 %% 0.001 [1] -2.081668e-17 > and the last seems about right. -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra -- No virus found in this outgoing message. Checked by AVG Anti-Virus.

Hi. I am currently trying to run some Spearman correlations, and have encountered two issues. 1) When using cor.test() with a variable that includes ties, I get the "Cannot compute exact p-values with ties" error. I have read that this function now uses an asymptotic formula that allows for ties, so do not understand why I am getting this error. (I am running version 2.4.0.) I

FYI, I've tried posting the below message twice to the bug tracking system, once by email (below), and the second time 5 days later directly to the bugs.r-project.org website. As far as I can tell, the bug tracking system hasn't picked this up. Also it looks like the latest "incoming" bug is dated 25 May 2008, so perhaps others are having difficulty as well. (cc: r-bugs)

I was recently browsing through CRAN's Finance task view to remind myself of the publicly available packages relevant to my work. As the reference manuals are all online, I am able to flip through the available functions to get an idea of the package's scope before downloading. That said, many authors have taken the time to additionally provide a useful vignette which provides a better

Dear all, Suppose my data frame is as follows: id price distance 1 2 4 1 3 5 ... 2 4 8 2 5 9 ... n 3 7 n 8 9 I would like to calculate the rank-order correlation between price and distance for each id. cor(price,distance,method = "spearman") calculate a correlation for all. Then I tried to use apply(data,list='id',cor(price , distance , method =

R-help, Given a simple linear model, say lm(x ~ y + z), I would like to remove model terms that are factors with only one level. Thus, if 'z' were a factor with only one level, lm(x ~ y + z) becomes lm(x ~ y + 1). Likewise, if both 'y' and 'z' are one-level factors, then the resulting calculation is simply lm(x ~ 1). Unfortunately, I have not been able to come up with an

Hi all, Is there a convenient way to calculate Spearman correlation coefficients in R? Nick Nianqing Xiao, Ph.D NCI Center for Bioinformatics, NIH SAIC/Advanced Systems Group > 6116 EXECUTIVE BLVD 4026J > MSC 8335 > BETHESDA MD 20852 Phone: 301-451-6357 Fax: 301-480-4222 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

R-Developers, I'm looking for some help computing on the R language. I'm hoping to write a function that parses a language or expression object and returns another expression with all instances of certain argument of a given function altered. For instance, say I would like my function, myFun to take an expression and whenever the argument 'x' appears within the function FUN inside

Hello R gurus, I want to calculate the Spearman rho between two ranked lists. I am getting results with cor.test that differ in comparison to my own spearman function: > my.spearman function(l1, l2) { if(length(l1) != length(l2)) stop("lists must have same length") r1 <- rank(l1) r2 <- rank(l2) dsq <- sapply(r1-r2,function(x) x^2) 1 - ((6 * sum(dsq))

Hallo, does anybody know if there is an implementation of the Spearman rank correlation in R that gives a correct (or at least 'safe') p-value in the case of ties?? I have browsed the R-help archives but I found nothing. Thanks a lot in advance for any help, Antonino Casile

Hello, I found a potential problem in R 2.1.0 (and R 2.0.1) I expect that > tmp <- FUN(x1, x2, x3, x4) > as.data.frame(tmp) is the same as > as.data.frame(FUN(x1, x2, x3, x4)) since the tmp variable in this case is unnecessary. However, below I will demonstrate that under an odd set of conditions, I can correctly perform as.data.frame(tmp), but not as.data.frame(FUN(x1, x2, x3,

Hi, How can I make the cor(x, y, method="spearman") call to produce an error when the input to it (x, y) produces an error? Here is a simple example: > a <- c(0, 1, 2) > b <- c(100, 2, 4) ## error: > log(a) [1] -Inf 0.0000000 0.6931472 ## error, as expected: > cor(log(a), log(b), method="pearson") [1] NaN ## not an error any more (not expected): >

I have found a solution to the new("call") problem that I believe produces the correct behavior for the default call object, and am also reclassifying this as a bug, as I believe the current behavior to be incorrect. Recap, the following error occurs: > new("call") Error in print("<undef>"()) : couldn't find function "<undef>" It looks

Hello, I've decided to take the leap and try my hand at the lattice package, though I am getting stuck at what one might consider a trivial problem, plotting text at a point in a graph. Apologies in advance if (that) I'm missing something extremely basic. Consider in base graphics: > plot(1:10) > text(2, 4, "Text") In the above you will see text centered at the point (2,

I was unaware until recently that partial matching was used to index data frames and lists. This is now causing a great deal of problems in my code as I sometimes index a list without knowing what elements it contains, expecting a NULL if the column does not exist. However, if partial matching is used, sometimes R will return an object I do not want. My question, is there an easy way of getting

Hello all, I just upgraded to R 2.7.0 and found that the behavior of 'var' and 'sd' have changed in the presence NAs (this wasn't explicit in the NEWS file, though I see it probably has to do with the change for cor/cov). Anyway, I just want to make sure that it was intentional to produce an error when there was all NAs and na.rm=TRUE, rather than returning an NA (like R

Hello, I'm trying to convert times in the EST/EDT (New York) format to times in the GMT/BST (London) and UTC+9 format (Tokyo). That is, if I know what time it is in New York, what is local time in London and Tokyo? Ex: Here's the conversion from New York EST/EDT time to London's GMT/BST time zone for three days in 2007. Note that the US and London change to daylight savings on

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

Hi, I am not really familiar with Correlation foundations, although I read a lot. So maybe if someone kindly help me to interpret the following results. I had the following R commands: correlation <-cor( vector_CitationProximity , vector_Impact, method = "spearman", use="na.or.complete") cor_test<-cor.test(vector_CitationProximity, vector_Impact,