similar to: Qualitative Data??(String command)

I understand that Rcmdr needs the tcltk package in order to run. However, when I attempt to using the library (Rcmdr) command, I get the message below. I have attempted to start X in R as well as using starting it from the Utilities folder on my Mac to no avail. I can't figure out if there is an issue with X11 or with R itself (I just updated to 1Is there a terminal command I can use

Hello, I have a problem that I am trying to solve and I am not sure how to do it in R. Suppose, that 16 numbers are choosen at random from 0 to 9, what's the probability that their average will be between 4 and 6. I typed the following code: set.seed(100) sample(0:9, 16, replace =TRUE) [1] 3 2 5 0 4 4 8 3 5 1 6 8 2 3 7 6 Is what I got, however I realize the set.seed function

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

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

Hello, I am having trouble reading an spss file into R. I have reset my working directory to the folder where this file is stored. This is what I've typed into R and the error message I received: + getwd() [1] "/Users/daviacox/Graduate School/PLS 801" > read.spss("norwil.spss") Error in read.spss("norwil.spss") : error reading portable-file dictionary

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 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 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, 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

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, 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(

Many thanks, My goal is to make a plott like attached but the Y axis starts in XIV and end at top in I. Generally for instance in excel X axis is categories but Y axis is numbers I want the contrary plotted in lines, your last help is near what I look but barplot is not needed. Hope you can help me thanks in advance. 2018-05-22 0:58 GMT+02:00 Jim Lemon <drjimlemon at gmail.com>: > Hi

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",

All, I'm relatively new to using R, having used it thus far for some simple statistics and plotting. However, I'm not new to programming by any measure. I've been looking at the various modules available for clustering, factor analysis, etc. and find that I need advice on which modules I should be focusing on and their application. I have a data set comprised of columns of both

WinXP, R 2.10.1 I just updated R, and now have trouble. Perhaps it was the method I used to keep all the packages. I copied all the new packages from 2.10.1 back into the 2.10.0 folder, then copied them and all the others I've previously added from the 2.10.0 folder and pasted them back into 2.10.1's appropriate folder. Is this the source of my troubles? I am trying unsuccessfully to

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,

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Thanks, Andrew