search for: mnevil

Hi Everyone, I have some data that predicts both a nominal and ordinal response variable. I was wondering what packages in R would help me analyze the data? I was also curious if anyone could recomend me some textbooks that would help with the analysis of such data? I have the 5th edition of "Applied Multivariate Statistical Analysis" by Richard A. Johnson and Dean W. Wichern

Hi everyone! I've recently begun to learn R for my job as the IT department suffers from lack of funding for new software. I was talking to the guy in charge of Requisitions and have found out the budget for books is in great shape. So, I'm curious what books people know of that have R examples and are good for: 1.) Uni and Multivariate Time Series Analysis/Forecasting 2.) GLMs (at

Hi Everyone, I did a quick search of the list and it looks like this may not have been asked before... I'm trying to generate a matrix of random numbers between 0 and 1, with 6 columns, 10000 rows. About all I know is that runif(1) gives me the random number I'm looking for. Any help would be great! thanks, -Max

Hi Everyone, I did a quick search of the list and it looks like this may not have been asked before... I'm trying to generate a matrix of random numbers between 0 and 1, with 6 columns, 10000 rows. About all I know is that runif(1) gives me the random number I'm looking for. Any help would be great! thanks, -Max

Hi everyone, I'm trying to understand some R output here for ordinal regression. I have some integer data called "A" split up into 3 ordinal categories, top, middle and bottom, T, M and B respectively. I have to explain this output to people who have a very poor idea about statistics and just need to make sure I know what I'm talking about first. Here's the output:

Hi Guys, I am trying to show a plot of means with two groups. i.e. > plotMeans(s$CON, s$GENERAL.STARTING.DEPT, s$Cat, error.bars="se") and I get the error in Rcmdr: ERROR: need finite 'ylim' values Pasting the code in R gets the following error: x) : no non-missing arguments to min; returning Inf Warning in max(x) : no non-missing arguments to max; returning -Inf Error

Hi Everyone, I'm apologize for asking this in the R-general list, but I'm unsure of where else to ask this burning question of mine: Where do statisticians talk on the internet about professional/ career developement/ issues? I've found many a list (much like this one) that specailize in talking about statistics, but not about *being* a statistician. Any pointers to a message

Hi everyone, This is not so much of an R question as a statistics question. I currently work for the largest pre employment screening company in Canada. Upper management has noticed that noticed that usually a month or so before any big kind of economic shock happens, that our incoming files (requests for a background check) jump up or down. As the company statistician, they've asked me

Hi Everyone, I've got a question about data representation. I have some psychometric data with 5 scores for 15 different groups. I've been asked to show some kind of mean plots. The data below is the mean and SD for a given group, unfortunately my employer doesn't want me posting full datasets. :( The groups V,W,X,Y,Z are divided into Bottom, (B), Middle (M) and Top (T). An

I've used the scatterplot3d function to graph some data and had it graph a "smooth" fit. Is there a way to actualy find out the function of the surface? I've looked through the help and figured out how to get it to report the following: Family: gaussian Link function: identity Formula: y ~ s(x, z) Parametric coefficients: Estimate Std. Error t value Pr(>|t|)

Dear UseRs, I'm curious about the derivative of n!. We know that Gamma(n+1)=n! So when on takes the derivative of Gamma(n+1) we get Int(ln(x)*exp(-x)*x^n,x=0..Inf). I've tried code like > integrand<-function(x) {log(x)*exp(x)*x^n} > integrate(integrand,lower=0,upper=Inf) It seems that R doesn't like to integrate for any n, and I was wondering if anyone knew a way around