similar to: Binary data sets

Hi, I would like to know if there is an algorithm in R for testing if a data set as a normal destribution. Thank you for your time, Pedro Marques

Hi, I'm working with a numeric matrix with 55columns and 581012 rows and I'm having problems in allocation of memory using some of the functions in R: for example lda, rda (library MASS), princomp(package mva) and mvnorm.etest (energy package). I've read tips to use less memory in help(read.table) and managed to use some of this functions, but haven't been able to work with

Hi, I'm doing kolmogorv-smirnov test but I don't know what conclusions to take, I want to know if my data has a normal distribution: > ks.test(dados1,"pnorm") One-sample Kolmogorov-Smirnov test data: dados1 D = 0.972, p-value < 2.2e-16 alternative hypothesis: two-sided Warning message: cannot compute correct p-values with ties in: ks.test(dados1,

Hi all, I'm having this error, since I'm working with a data matrix I don't understand what's happening; I've tried several ways to solve this, even working with sparse matrix, but nothing seems to solve it, I've also tried svm (with a simple matrix 3*3 and still got the same error. > dados<-read.table("b.txt",sep="",nrows=30000) >

Hi all, I'm working with some data: 54 variables and a column of classes, each observation as one of a possible seven different classes: > var.can3<-lda(x=dados[,c(1:28,30:54)],grouping=dados[,55],CV=TRUE) Warning message: In lda.default(x, grouping, ...) : variables are collinear > summary(var.can3) Length Class Mode class 30000 factor numeric ### why?? I

Hi all, Since I was having several problems trying to work with a large matrix I started to use the package R.huge but I'm having the following problem > x<-FileByteMatrix("covtype.data",nrow=581012,ncol=55) Error: cannot allocate vector of size 770.8 Mb In addition: Warning messages: 1: Reached total allocation of 447Mb: see help(memory.size) in: readChar(con = con, nchar =

Hi all, I'm trying to plot my daily time series, with 3650 observations( 10 years), with boxplot but I want 12 boxes, one for each month, can anyone help me doing that. Best regards

I am interested in studying the binary representation of numerics (doubles) in R, so am looking for possibilities of output of the internal binary representations. sprintf() with format "a" or "A" is halfway there: sprintf("%A",pi) # [1] "0X1.921FB54442D18P+1" but it is in hex. The following illustrate the sort of thing I want: 1.1001 0010 0001 1111

I am trying to simulate a series of ones and zeros (1 or 0) and I am using "rbinom" but realizing that the number of successes expected is not accurate. Any advice out there. This is the example: N<-500 status<-rbinom(N, 1, prob = 0.15) count<-sum(status) 15 percent of 500 should be 75 but what I obtain from the "count" variable is 77 that gives the probability of

Hi again! Following up my previous posting below (to which no response as yet), I have located a report which situates this type of question in a longitudinal modelling context. http://www4.stat.ncsu.edu/~dzhang2/paper/glm.ps Generalized Linear Models with Longitudinal Covariates Daowen Zhang & Xihong Lin (This work seems to originally date from around 1999). They consider an outcome Y,

Hi, I would like to draw 10 uniformly distributed sample points from a circle with redius one and centered at (0,0). Is there any R function to do that?   Thanks, [[alternative HTML version deleted]]

Dear All, I am looking for an R function or any other reference to generate a series of correlated Binomial (not a Bernoulli) data. The "bindata" library can do this for the binary not the binomial case. Thank you, Bernard --------------------------------- [[alternative HTML version deleted]]

sorry but how do i accsess r archives __________________________________________________ [[alternative HTML version deleted]]

hello, I want to do a single Imputation method on binary data set. Is it possible to use imp.cat from CAT package? I have a problem defining "theta" when data is binary. Do you know any references on the subject? Thank you, Sigalit. [[alternative HTML version deleted]]

I just installed R on my 64 bit SUSE Linux system -- I compiled with the default x windows support on.. This may be a newbie question (apologies in advance)-- but how does this show up in X? I have SSH'd in to my box and set my display -- I can run xcalc OK -- but when I hit the R binary it just goes to the command line -- if does not give me an x-window. I suspect I need another

Hi Folks, Maybe I've missed it already being available somehow, but if the following isn't available I'd like to suggest it. If you're happy to let plot() choose its own limits, then of course plot(x,y) will do it. If you know what limits you want, then plot(x,y,xlim=c(x0,x1),ylim(y0,y1) will do it. But sometimes one would like to a) make sure that (e.g.) the y-axis has a

Is there any way to "force" 0 * NA to be 0 instead of NA? For example, suppose I have a vector with some valid values, while other values are NA. If I matrix-pre-multiply this by a weight row vector, whose weights that correspond to the NAs are zero, the outcome will still be NA: x <- c(1, NA, 1) wt <- c(2, 0, 1) wt %*% x # NA Alberto Monteiro

Greetings, Folks. I'd appreciate being shown the way out of this one! I've been round the documentation in ever-drecreasing circles, and along other paths, without stumbling on the answer. The background to the question can be exemplified by the example (no graphics window open to start with): set.seed(54321) X0 <- rnorm(50) ; Y0 <- rnorm(50)

Hi Folks, I'm wondering if there's a compact way to achieve the following. The "dream" is that, by analogy with rep(c(0,1),times=c(3,4)) # [1] 0 0 0 1 1 1 1 one could write rep(c(0,1),times=c(3,4,5,6)) which would produce # [1] 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 1 1 in effect "recycling" x through 'times'. The objective is to produce a vector of

I've looked long and hard for this, but maybe I am missing something... There is a nice module that displays histograms reflected in the y axis, i.e. http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=136 but is it possible to reflect in the x-axis, so to have two datasets, one pointing up and one down rather than left and right? I haven't been able to find a way to plot this