search for: reliabity

Hi ! I am new to R, and using the MAC version onto Mac OS 9.1. My question concerns the problem I encounter when I try to read some data I have using the read.table function. I always get an error of type : Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : line 1 did not have 9 elements Here is my code: varnames <- c("names", "symbol",

...n phone system for up at the mountain. The phone system is dying and I'm hoping to bring IP to replace the old phones. It will be about 100 phones at about 20 locations all within about 4 miles of each other. I'm looking for tips on the types of phones to look at. Cost is secondary only to reliabity. Any tips? TIA, -brandt

Dear all, I like the way the Rcmdr package computes reliability. E.g reliability(cov(d[,c("q1", "q2", "q3", "q4", "q5", "q6")], use="complete.obs")) will not only give me the alpha score, but also for each variable, alpha.score if deleted. However - when writing scripts it's very tiresome to load the whole Rcmdr GUI just

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Folks, I've just released the first prelease for the 5.10 series. The intention is to leave 5.02-pre3 where it is and move to 5.10-pre1. The only difference between 5.02-pre3 and 5.10-pre1 is the merge of the lwip branch (and a single commit to fixup the -DDEBUG=2 build), which warranted a bump in the version minor number. See the shortlog below for details of the differences between

Various versions of Linux under various circumstances select TSC as the primary clocksource for the kernel. This is especially true for uniprocessor kernels, but also in some cases for multiprocessor kernels. In most cases, this is because a processor bit (tsc_invariant? constant_tsc?) is passed through directly from the hardware via Xen and tested by the hvm guest and the result implies that