search for: altb

...!= Allbigxx.dir ALLBIGXX.TXT != Allbigxx.txt alls = alls alls.dir = 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 aL...

...= data1, reflevel = "A", method = "nr", print.level = 0) Frequencies of alternatives: A B C 0.282 0.338 0.380 nr method 3 iterations, 0h:0m:0s g'(-H)^-1g = 8.8E-07 gradient close to zero Coefficients : Estimate Std. Error t-value Pr(>|t|) altB 0.269645 0.569943 0.4731 0.6361 altC 0.642654 0.551250 1.1658 0.2437 altB:x1 0.018484 0.061061 0.3027 0.7621 altC:x1 0.075489 0.059837 1.2616 0.2071 altB:x2 -0.102349 0.068194 -1.5008 0.1334 altC:x2 -0.031934 0.065491 -0.4876 0.6258 altB:x3 0.034394 0.115189...

...isor type. > The pseudo code of the MACRO could be: (take read CR.IVR > as example) > > AltA: > #define ASM_READ_IVR /* read IVR to GR24 */ > #ifdef XEN > breg1 = return address > br xen_readivr > #else /* native > mov GR24=CR.IVR; > #endif > Or > AltB: > #define ASM_READ_IVR /* read IVR to GR24 */ > #ifdef XEN > in place code of function xen_readivr > #else /* native > mov GR24=CR.IVR; > #endif > > From maintenance effort point of view, it is minimized, > but not exactly what X86 pv_ops look like. > > Bo...

...isor type. > The pseudo code of the MACRO could be: (take read CR.IVR > as example) > > AltA: > #define ASM_READ_IVR /* read IVR to GR24 */ > #ifdef XEN > breg1 = return address > br xen_readivr > #else /* native > mov GR24=CR.IVR; > #endif > Or > AltB: > #define ASM_READ_IVR /* read IVR to GR24 */ > #ifdef XEN > in place code of function xen_readivr > #else /* native > mov GR24=CR.IVR; > #endif > > From maintenance effort point of view, it is minimized, > but not exactly what X86 pv_ops look like. > > Bo...

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 are used in this line. However, to understand how it works, first look at the line that defines the value of "indicesA": indicesA<-...

...)) { indicesA<-count_ind[as.logical(match(svdatstr[row,type_ind],"A",0))] svdatstr[row,"maxA"]<-max(svdatstr[row,indicesA]) indicesB<-count_ind[as.logical(match(svdatstr[row,type_ind],"B",0))] svdatstr[row,"maxB"]<-max(svdatstr[row,indicesB]) AltB<-svdatstr[row,indicesA][svdatstr[row,indicesA]<svdatstr[row,"maxB"]] svdatstr[row,"x"]<-paste(AltB,collapse=",") AgeB<-svdatstr[row,indicesA][svdatstr[row,indicesA]>=svdatstr[row,"maxB"]] svdatstr[row,"y"]<-paste(AgeB,collapse=&...

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