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I'm looking to buy a new desktop which will primarily be used for analyses of large datasets (100s of MB). I've seen postings from several years back re the 'optimal' platform for running R, but nothing more recently. Specifically, I want to know: 1) if I run R under Windows, does having a dual-processor machine help speed things up? And 2) is it still true that R performs

Hi, I have been trying to add labels to the rows of a heatmap produced using image() function. It is simply not working. Here is what I did. A2Rplot.hclust(hcc,k=length(num),col.up="black",col.down=num,lty.up=2,lty.down=1,lwd.up=1,lwd.down=2,show.labels=FALSE) #used the above external program to create a colored dendrogram xsort <- x[1:nrow(x), hcc$labels[hcc$order]]

Dear R users, I have a linear model of the kind outcome ~ treatment + covariate where 'treatment' is a factor with three levels ("0", "1", and "2"), and the covariate is continuous. Treatments "1" and "2" both have regression coefficients significantly different from 0 when using treatment contrasts with treatment "0" as the