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...em with R misinterpreting (x,y) values in image(). I downloaded the followiing binary version of R: > version _ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 3.0 year 2001 month 06 day 22 language R > q() [janef@cc-jainlabx1 Poster.tahoe]$ gcc -v Reading specs from /usr/lib/gcc-lib/i386-redhat-linux/2.96/specs gcc version 2.96 20000731 (Red Hat Linux 7.1 2.96-81) Here is the transcript of an example: _______________________________________ x1 <- c(6.564103, 13.77149,13.7715,21.66154,21.82564,26.2137...

There seems to be an issue in computing rank correlations with missing values present. I think this comes from the way rank() function works but I am not sure how to go about this. Rank function places missing values at the end by default thus skewing the rank relationship between two vectors: Example: R : Copyright 2003, The R Foundation for Statistical Computing Version 1.8.1 (2003-11-21),

Hi, I have 1.3.0 version on my linux redhat. I wanted to upgrade to 1.4.1 using compiled rpm (R-base-1.4.1-1.i386.rpm and R-recommended-1.4.1-1.i386.rpm ) but made a mistake and used "-i" option to rpm command instead of upgrade U. It was complaining about already having files with that name (from the previous version) in /usr/bin/R and /usr/lib/R so i went ahead and removed those

R-1.7.0 built on NetBSD 1.6, but the validation test suite failed: Machinetype: Intel Pentium III (600 MHz); NetBSD 1.6 (GENERIC) Remote gcc version: gcc (GCC) 3.2.2 Remote g++ version: g++ (GCC) 3.2.2 Configure environment: CC=gcc CXX=g++ LDFLAGS=-Wl,-rpath,/usr/local/lib make[5]: Entering directory `/local/build/R-1.7.0/src/library' >>> Building/Updating

Hi, I am trying to use image() function in R and for the set of the x-locations I am providing, it keeps giving me an error: Error in image(as.double(x), as.double(y), as.integer(zi), col) : invalid x / y values or limits I have looked over the cases which inclusion causes the message but could not identify the problem. I did notice that it does not l accept non-unique x-values

Hi, I am interested in a applying wavelets as a smoothing tool for my (1-dimensional) data. I looked into wavetresh and waveslim packages but could not quite figure out an obvious way to do this after running dwt or wt functions. Would someone be able to point me in the right direction on how to denoise univariate data using one of wavelet packages available in R? Thank you very much Jane ps