similar to: Concept Mapping of Qualitative Data

I have one other problem and then I'll stop and get back to writing. I want to plot a missing data matrix (the R matrix a la Little and Rubin) to graphically depict where the missing data lie in the matrix. Some statistical packages produce a graphical depiction of the missing data patterns by plotting the matrix, color-coding the plot with contrasting colors for either missing or

Hello, My name is Dontrece Smith. I am creating figures for my GAMs. I change my qualitative variables to 1 or 2 in my dataset, so I would be able to run my GAMs. However, R will only display plots for my quantitative variables and not my qualitative variables. Is there any way to fix this issue? I listed some of my code below: > library(mgcv) This is mgcv 1.7-13. For overview type

I am using the read.table function to load an Excel data set into R. It has a few variables with very long qualitative (free response typically in sentences) response that I would like to keep, but would like to limit the "length" of the response that R shows. Is there some sort of string or column width command I can include in the read.table function to limit the length of words used

Dear R experts: I have following problem: # myfunction mfun1 <- function(x) { if ( x == 2){ xv <- sample(c(2,1,0),100, replace = T, prob = c(0.6, 0.2, 0.2)) } if ( x == 1){ xv <- sample(c(1,0),100, replace = T, prob = c(0.6, 0.4)) } if ( x == 0) { xv <- sample(c(0,0),100, replace = T, prob = c(0.5, 0.5)) } return(xv) } # applying the function x = mfun1(1) # just what I

The problem remain unsolved. If you have any idea please do suggest .................... thank you; Ram H On Wed, Aug 31, 2011 at 12:06 PM, Ram H. Sharma <sharma.ram.h@gmail.com>wrote: > Dear R experts: > > I have following problem: > > # myfunction > mfun1 <- function(x) { > if ( x == 2){ > xv <- sample(c(2,1,0),100, replace = T, prob = c(0.6, 0.2,

Hello, I have a question regarding competing risk regression using cmprsk package (function crr()). I am using R2.9.1. How can I do to assess the effect of qualitative predictor (gg) with more than two categories (a,b,c) categorie c is the reference category. See above results, gg is considered like a ordered predictor ! Thank you for your help Jan > # simulated data to test > set.seed(10)

Hi, I have some doubt about how qualitative factors are coded in R. For instance, I consider a response y, a quantitative factor x and a qualitative factor m at 3 levels, generated as follow : y_c(6,4,2.3,5,3.5,4,1.,8.5,4.3,5.6,2.3,4.1,2.5,8.4,7.4) x_c(3,1,3,1,2,1,4,5,1,3,4,2,5,4,3) m_gl(3,5) lm(y~x+m) Coefficients: (Intercept) x m2 m3 3.96364 0.09818

Hi, I want to know is there other functions in R to estimate qualitative response model besides multinom() in library nnet, if this is the only possibility, I have a question about the application: for example: there is three transportation choice : car, bus , subway. each alternative has own characteristic variables, I want to apply conditional logit model to analysis the choice of three

Hi John, > A "volatile error" indicates a case where a compiler failed to respect > the volatile invariant. The volatile invariant is simply that changing > the optimization level of a strictly conforming C program must not > change the number of dynamic loads or stores to any variable that is > volatile-qualified in the compiler's input. We check this with a hacked

Hi Pedro, Not too hard. Just have to watch the order of the variables: ppdf<-read.table(text="N M W I 10 106 II 124 484 III 321 874 IV 777 1140 V 896 996 VI 1706 1250 VII 635 433 VIII 1437 654 IX 693 333 X 1343 624 XI 1221 611 XII 25 15 XIII 3 NA XIV 7 8", header=TRUE) plot(rev(ppdf[,2]),1:14,col="blue",lty=1,type="l",

Hi John, > > does this also check that writes are atomic: that they are performed in > > one processor operation? > > Can you elaborate a bit? I don't think volatile has any atomicity > requirements. Of course I can make a struct, an int128_t, or whatever > volatile (on AVR even an int16_t is updated non-atomically!). that's not entirely true in practice: if

See ?barplot and set the horiz argument to TRUE. (This is in the base R plotting version. The ggplot2 and lattice systems have other ways of doing this) Note: if you search on e.g. "barplots in R" or similar, you should find numerous examples with code. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into

Hi Duncan- > does this also check that writes are atomic: that they are performed in > one processor operation? Can you elaborate a bit? I don't think volatile has any atomicity requirements. Of course I can make a struct, an int128_t, or whatever volatile (on AVR even an int16_t is updated non-atomically!). Lack of atomicity is one of many problems with using volatile as a basis

Hi all, I?m trying to plot this data N M W I 10 106 II 124 484 III 321 874 IV 777 1140 V 896 996 VI 1706 1250 VII 635 433 VIII 1437 654 IX 693 333 X 1343 624 XI 1221 611 XII 25 15 XIII 3 XIV 7 8 So that in de Y axis will be the level (qualitative data) and in the X axis will be M and W variables. So x axis will be wwith a lenght between 0 and 2000. I would like to plot a line with M and other

Hi, Arvind Sudarsanam: I know some of Open64. Above all, Open64 is designed for a high performance compiler. It is now supported by AMD, HP, ICT Chinese Academy of Science, etc. and has been ported to X86, Itanium, Loongson CPU etc. And to your questions 1, Open64 already have some main optimization phases, Inline for aggressive inline opt. LNO for loop opt, WOPT for machine independent opt(

Hi, I have been working towards developing compiler optimization tools targeting multi core processors while using LLVM IR as the starting point and building on top of the analysis and optimization passes available in the llvm source. Recently, I looked into Open64 and its intermediate representation WHIRL. Documentation for developers to use Open64 seems to be inadequate (when compared to LLVM

Hello, I have attempted several times to compile openssh3.1p1 that will use a random package called ANDIrand. How can I compile and get ssh to use this random number generator? I have tried the --rand-helper switch with my configure and still it does not work. I am compiling in Solaris 8, and need to then create a package that can be used on Solaris 6, Solaris 7, and Solaris 8. Thanks, Eric

Hi folks, We recently generated some data that seemed interesting enough to share here. This is a comparison between compilers that ignores the performance of the generated code and focuses only on compiler correctness. volatile checksum errors errors avr-gcc-3.4 1.879% 0.378% avr-gcc-4.1 0.037% 0.256% avr-gcc-4.2

Hi Pedro, melt() is probably working. The problem is I did not finish the copy and paste.? It would have been better if I had included the ggplot() command. Try ============================================================== library(reshape2) library(ggplot2) dat1? <- structure(list(N = c("I", "II", "III", "IV", "V", "VI",

useRs, Don't know if this requires a bug report, but using the read.spss function on files written by the new SPSS 12.0 produces the following warning message: Warning message: C:\data\spss.sav: Unrecognized record type 7, subtype 13 encountered in system file. The data files appear to be read correctly. The warning likely results from changes to the file format due to SPSS increasing