similar to: rank(*) with NAs -- new option "keep" desired

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))

I"ve got a data frame with a selection of columns I want to compute a rank-order correlation matrix from without disturbing the original data frame. foo[,c("a","b","d","f","g")] What I wanted to do, intuitively, was: > cor(rank(foo[,c("a","b","d","f","g")])) but rank in that context

Full_Name: Ian Wilson Version: R-1.8.0 OS: Windows (but own compilation) Submission from: (NULL) (139.133.7.38) the p-value is incorrect for cor.test using method "spearman" in R-1.8.0. This was not the case in R-1.7.1. Version R-1.8.0 on Windows > cor.test(rnorm(50),rnorm(50),method="spearman") Spearman's rank correlation rho data: rnorm(50) and rnorm(50) S

As many of you have probably realized, the spam filtering at @stat.math.ethz.ch has been dead for since yesterday (09-25) ~16:50 till today ~08:30. The sudden death may have been caused by unrelated installation of some perl modules (spamassassin *is* running on perl) by our IT staff. We are very sorry for this event. On the bright side: You have been able to get a glimpse of what you are

We have locally collected good experience the last few weeks using procmail-spam filtering, inclduing spamassassin to the procmail filters. The last two spams that went past the majordomo filters (the "traditional ones I've been using) through to R-devel both were not delivered to me, be but caught by the filters. I have now collected a bit more of a week experience using the new scheme

Q: When R does 'plot()' in a context that yields boxplots, is there a way to force it to draw something even if there are only 1 or two data in the category? I'd like for it to draw the data, perhaps using the outlier symbols. My code is (*** marks the line in question) is the following, for R-1.0.0: d <- read.table("nserc-results-pgsb", header=FALSE,

hello help, i''ve searched through the manual pages and the only reference i can find to spearman rank correlation is cor.test, which only seems to give the significance value of the correlation. is there any way to get the actual value of rho? david. [[alternate HTML version deleted]]

This is was something like a request for your comments, thoughts on the topic... Many of you will know that the "..." (aka \dots) argument is very useful for passing ``further graphical parameters'', but can be a pain when itself is passed to too many plotting functions inside your own function. An artificial example being myplot <- function(x,y, ...) { plot(0:1, 0:1,

I've had a need for multinomial "random number generation" occasionally. And other people too. The following code is currently in the (very small ``not very high importance'') CRAN package normix --- which I will rename to "nor1mix" very seen because of a ``name registration'' problem I want to add "this" (well the functionality) to a

>>>>> "Marc" == Marc Schwartz <mschwartz@medanalytics.com> >>>>> on Thu, 03 Apr 2003 09:24:20 -0600 writes: Marc> Martin, Marc> Not sure if you are aware of this, but since yesterday Marc> there seems to be multi-hour delays in outbound e-mail Marc> from r-help and r-devel. Inbound mail seems to show Marc> up

>>>>> "Marc" == Marc Schwartz <mschwartz@medanalytics.com> >>>>> on Thu, 03 Apr 2003 09:24:20 -0600 writes: Marc> Martin, Marc> Not sure if you are aware of this, but since yesterday Marc> there seems to be multi-hour delays in outbound e-mail Marc> from r-help and r-devel. Inbound mail seems to show Marc> up

Dear R maintainers, R is great. Now that I have that out of the way, I believe I have encountered a bug, or at least an inconsistency, in how Spearman and Kendall rank correlations are handled. Specifically, cor() and cor.test() do not produce the same answer when the data contain NAs. cor() treats the NAs as data, while cor.test() eliminates them. The option use="complete.obs" has

I have moved the R-announce mailing list from the Majordomo software to a combination of procmail & mailman an hour or so ago. You find a link in the footer of this message giving an URL where you can modify your subscription, look at the archives (everything from the beginning in 1997) and more. CHANGE: Postings to R-announce are now moderated, ie. they have to be approved by a list

I have moved the R-announce mailing list from the Majordomo software to a combination of procmail & mailman an hour or so ago. You find a link in the footer of this message giving an URL where you can modify your subscription, look at the archives (everything from the beginning in 1997) and more. CHANGE: Postings to R-announce are now moderated, ie. they have to be approved by a list

As reported on R-help by Ming-Chung Li, the cor() function has a new bug in R 1.8.0 when used with matrix arguments (to give the Cor-Matrix) and the non-default use = "pairwise.complete.obs" argument (which can be abbreviated, e.g. to use = "pair"). A quite minimal example is > x <- cbind(1:3, c(0,4,5)) > cor(x)[1,2] [1] 0.9449112 >

Vince Carey found this (thank you!). Since the fix to the problem is not entirely obvious, I post this to R-devel as RFC: help(dist) says: >> Missing values are allowed, and are excluded from all computations >> involving the rows within which they occur. If some columns are >> excluded in calculating a Euclidean, Manhattan or Canberra >> distance, the sum is

(RFC := Request For Comments) >>>>> "Tim" == Tim Keighley <Tim.Keighley@csiro.au> >>>>> on Thu, 23 Oct 2003 11:45:22 +1000 writes: Tim> Hi Martin, Tim> In October 2000 you wrote to r-help: >>> which reminds me that I've had a desire for something like >>> the old S function [from the blue book, and

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 =

Dear R-helpers, I would like to do a Spearman rank order test, and used the cor() function with the method "spearman". It gives me a number (correlation coefficient?) , but how can I get the p-value? Thank you for the help in advance! Regards, Anne-Katrin -- [[alternative HTML version deleted]]

Martin Maechler asked me to restate my problem. Compiling the file (slightly modified w.r.t. the formerly attached file) that can be found at http://www.geo.uni-bayreuth.de/~martin/filetransfer/xswms2d.Rd terminates with the error message ******* Syntax error: mismatched or missing brackets in /----- ..... \----- when compiled by R CMD Rdconv -t txt xswms2d.Rd However, the file does