similar to: Population simulation.

Hello, I'm new with R. I need some help; I have a matrix of data to wich i want to apply the function dudi.acm to perform multiple correspondence analysis. However to use it all variables must be factors, so how can i turn each column of the matrix into a factor? I've tried as.factor. It works isolated for each column, but when I form the matrix of all factors it doesnt work. Please

Hello, can someone tell me how to extract a partial table from a multiway table? Something else: I tried to do basic operations on cross-tables, like subtracting two cross tables with same dimensions and i was unable to do so. Is there another way? thanks! __________________________________________________________

hello, i'm new in writting functions in R. I read the R-help manuals but still couldn't get it right. The problem is: I have data on 16 categorical variables for 335 individuals. the data are lines for individuals and columns for variables. I want to calculate the correlation between two variables using a formula given by Agresti for ordinal categorical variables. I have to calcule the

Moi! A student here has been getting a bit irritated with some side effects of scale() (OS is Windows XP, the behaviour occurs in R 2.0.0, but not 1.7.1). The problem is that she scales a variable in a data frame, then does a regression, and tries to get some predictions for some new data. However, at this point she gets an error (see the example below). This seems to be because the

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

Please consider a data frame A B C D 1 4 5 0 2 3 2 75 3 4 1 84 4 5 1 90 5 3 0 100 Is there a way to plot column B and C as barplot *and* D as line on the same graph?? R-2.0.1 powered by Mandrake 10.1 ------------------------------------------------------------------------------------------------------------------------- Landini dr. Massimiliano Tel. mob. (+39) 347 140 11 94 Tel./Fax. (+39)

Hi all, Currently I am developing some changes on the solr plugin. I want this plugin indexing also the attachment's content. I have already started to look on plugin's source but I am having some problems understanding how it works. I didn't understood yet what is the plugin's design and how the plugins are called from the core system and I was wondering if anyone could help me

Hi Team, I using the syntax as: data.df<- data.frame( city= c(rep(c("Delhi", "Bangalore","Chandigarh"),each=5)), population= c(4000:6000,3500:4300,3000:3200) ) But i am getting the error as arguments imply differing number of rows: 15, 3003. Tried searching google but could not understand & find the solution. Thanks, Shivi [[alternative HTML version

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact

Dear friends, In R, the help of "bic.glm" tells the difference between postmean(the posterior mean of each coefficient from model averaging) and condpostmean(the posterior mean of each coefficient conditional on the variable being included in the model), But it's still unclear about the results explanations, and the artile of Rnews in 2005 on BMA still don't give more detail on

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

Hello, i am a newby on R and i am trying to make a backward selection on a binomial-logit glm on a large dataset (69000 lines for 145 predictors). After 3 days working, the stepAIC function did not terminate. I do not know if that is normal but i would like to try computing a "homemade" backward with a repeated glm ; at each step, the predictor with the max pvalue would be

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

I have a simple (!) problem. What I want to do is to create a legend with Greek letters, and substituting numbers into the legend. Like this: mu=1:3 Mean=rep(mu, each=20) plot(runif(60), rnorm(60,Mean,0.1), pch=Mean) # create a plot legend(0.6,1.7, paste("mu =", 1:3), pch=mu) but with a Greek letter mu. I think the solution has something to do with substitute() possibly along with

The function addmargins() adds margins to a table, but returns a matrix. But even after converted to a table the print.zero="." option of print.table() does not work: > x <- sample( 1:7, 20, replace=T ) > y <- sample( 1:7, 20, replace=T ) > tt <- table( x, y ) > tx <- as.table( addmargins( table( x, y ) ) ) > print( tt, zero.print="." ) y x 1 2

The function addmargins() adds margins to a table, but returns a matrix. But even after converted to a table the print.zero="." option of print.table() does not work: > x <- sample( 1:7, 20, replace=T ) > y <- sample( 1:7, 20, replace=T ) > tt <- table( x, y ) > tx <- as.table( addmargins( table( x, y ) ) ) > print( tt, zero.print="." ) y x 1 2

I had my eye on the Tyan dual-Opteron mobos for awhile. I tried to find a posting *anywhere* sharing experiences with these boards under Linux. No such luck. So placing myself under the heading "Where Angles Fear to Tread," I went ahead and built a system anyway. Here's what I've learned. The specs: Tyan Thunder K8SE S2892, BIOS 1.01 2x Opteron 270, 2Ghz Dual-Core, retail

I can only assume I'm betraying my ignorance here, but this is not what I would expect. I'm getting the following from a stepwise selection (with both step and stepAIC): > step(lm(sqrt(Grids)~ SE + Edge + NH), scope=~ (Edge + SE + NH)^2) Start: AIC= 593.56 sqrt(Grids) ~ SE + Edge + NH Df Sum of Sq RSS AIC <none> 2147.0 593.6 + Edge:NH 1