search for: altbs

...= alls.dir alls.txt = alls.txt allsmall = allsmall allsmall.dir = allsmall.dir allsmall.txt = allsmall.txt AlTbIgSm = AlTbIgSm AlTbIgSm.DiR = AlTbIgSm.DiR AlTbIgSm.TxT = AlTbIgSm.TxT AlTbS.dIr = AlTbS.dIr AlTbS.tXt = AlTbS.tXt aLtSb.tXt = aLtSb.tXt aLtSmBiG = aLtSmBiG aLtSmBiG.dIr = aLtSmBiG.dIr aLtSmBiG.tXt = aLtSmBiG.tXt ONESMALl = ONESMALl ONESMALL.TXt = ONESMALL.TXt oNESMALL.D...

I want to analyse data with an unordered, multi-level outcome variable, y. I am asking for the appropriate method (or R procedure) to use for this analysis. > N <- 500 > set.seed(1234) > data0 <- data.frame(y = as.factor(sample(LETTERS[1:3], N, repl = T, + prob = c(10, 12, 14))), x1 = sample(1:7, N, repl = T, prob = c(8, + 8, 9, 15, 9, 9, 8)), x2 = sample(1:7, N, repl =

[Added CC:virtualization at lists.linux-foundation.org] On Mon, Feb 18, 2008 at 11:28:41AM +0800, Dong, Eddie wrote: > Hi, Tony & all: > Recently Xen-IA64 community is considering to add paravirt_ops > support to keep sync with X86 and reduce maintenance effort. With > pv_ops, sensitive instructions or some high level primitive > functionalities (such as MMU ops) are replaced

[Added CC:virtualization at lists.linux-foundation.org] On Mon, Feb 18, 2008 at 11:28:41AM +0800, Dong, Eddie wrote: > Hi, Tony & all: > Recently Xen-IA64 community is considering to add paravirt_ops > support to keep sync with X86 and reduce maintenance effort. With > pv_ops, sensitive instructions or some high level primitive > functionalities (such as MMU ops) are replaced

In R, square brackets [] are called "extraction operators" as they are interpreted so as to "extract" the parts of an object specified by the information within them. Your message contained only part of the line below: AltB<-svdatstr[row,indicesA][svdatstr[row,indicesA]<svdatstr[row,"maxB"]] Extraction operators may be specified sequentially or nested. Both

Hi sri, I think that I see what you mean. Your statements: x = Count_A_less_than_max of (Count type B) y = Count_A_higher_than_max of (Count type B). I took to mean that you wanted a logical value for x and y. Looking more closely at your initial message, I see that you wanted _all_ values of A with respect to maxB in x and y. The error with maximum values was due to a typo. Perhaps this will do

Hi Jim, Thanks for your time. But somehow this code did not help me to achieve my expected output. Problems: 1) x, y are coming as logical rather than values as I mentioned in my post 2) The values that I get for Max A and Max B not correct 3) It looks like a pretty big data, but I just need to concatenate the values with a comma, the final output will be a character

Hi sri, As your problem involves a few logical steps, I found it easier to approach it in a stepwise way. Perhaps there are more elegant ways to accomplish this. svdat<-read.table(text="Count id name type 117 335 sally A 19 335 sally A 167 335 sally B 18 340 susan A 56 340 susan A 22 340 susan B 53 340 susan B 135 351 lee A 114 351 lee A 84 351 lee A 80 351 lee A 19 351 lee A 8 351 lee A