search for: permax

I'm new to this site so I hope this isn't too naive a problem. I'm trying to use the permax function with a data frame containing gene expression measurements taken from 79 microarray experiments with >3000 genes per array. The data contains missing values and every time I use permax with the data frame I get the error: NA/NaN/Inf in foreign function call (arg 1) Could anyone sugg...

Hello: I am using R 1.9.1 under windows. I am interested in the permax package for analyzing DNA microarray data. I see, from install.packages(), that the windows binary version is 1.2.1, but that source code exists for version 2.2. Version 2.2 has much more functionality, especially for clustered data. So, I wonder whether anyone has made a binary windows release f...

...onds dse e1071 ellipse event.chart exactRankTests fastICA fdim fields foreign fracdiff gafit gee geoR gld gregmisc gss ineq leaps lgtdl lmtest locfit logspline lokern lpridge maptree maxstat mclust mda meanscore mgcv mlbench muhaz multiv mvnmle mvtnorm netCDF nlme nlrq norm odesolve oz panel pcurve permax pinktoe pixmap polymars polynom princurve pspline quadprog quantreg rmeta rpart rpvm scatterplot3d sem sgeostat sm sma sn sna splancs sptests spweights strucchange survival tensor tree tripack tseries twostage vegan wavethresh wle xgobi xtable zmatrix -------------- next part --------------...

I am making some changes to the permax library (so that it will accept NA's). This function performs a permutation analysis to identify discriminating attributes distinguishing two groups of observations. It takes the form (at its most simplistic): permax(data, ig1) where ig1 is one group of interest. The other group (if not sp...

Howdy, I'm experiencing a segmentation fault when trying to load mclust.so from mclust-1.1-4. I'm using R-1.3.1 on RedHat 6.2, and `gcc --version` reports "egcs-2.91.66". Any ideas? -Andy Package install: > install.packages("mclust") [stuff omitted] Installing source package `mclust'

This group impresses me, so far I have been helped with all my questions within 24 hours. Thanks. Therefore another one. I am used to programs (such as STATA) where observations with missing values that are included in a model are simply ignored in the analysis. So far I have not been able to figure out how to deal with missing values in R and have solved the problem by deleting observations

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