similar to: model formula

If I make a scatterplot and several (e.g. 5) points lie on top of each other at a given x,y location I would like the plot symbol to be the number of superimposed points (e.g. "5"). Could someone please tell me how to do this in R? Thanks! Bill Simpson

If I used a groupedData object, if I do fit<-lme(blah) then plot(augPred(fit)) produces a nice trellis plot of the data along with the fitted lines However I find that the lines and the data points are in the same colour (light blue against a medium grey background). Is there a way to make the lines in a different colour (e.g. black)? It would also be nice if the line were plotted after the

I have a student that I'm encouraging to use R rather than SAS or Stata and within just 2 weeks he has come up with a question that stumps me. What does a person do about endogeneity in generalized linear models? Suppose Y1 and Y2 are 5 category ordinal dependent variables. I see that MASS has polr for estimation of models like that, as long as they are independent. But what if the

I've been working on a document describing the use of XEmacs and ESS with R for Windows users, along with configuration files that are meant to make things simple for Windows users. This was initially intended for my students, but with recent discussions of Windows (and other) editors on the the R-help list, I thought that I'd make the material more widely available. The document

I've been working on a document describing the use of XEmacs and ESS with R for Windows users, along with configuration files that are meant to make things simple for Windows users. This was initially intended for my students, but with recent discussions of Windows (and other) editors on the the R-help list, I thought that I'd make the material more widely available. The document

Full_Name: Volker Franz Version: Version 1.6.2 (2003-01-10) OS: Debian Submission from: (NULL) (192.124.28.104) Hi there, it seems to me that data.ellipse of package "car" (Version 1.0-1) produces confidence interval's which are too big. To see this, do: library(car) plot(c(-2,2),c(-2,2),pch=0) data.ellipse(rnorm(10000),rnorm(10000),levels=0.68,plot.points=F) abline(v=+1)

I fit the model fit<-lm(thresh~cond*Ne) where thresh is the reponse cond is a factor with levels a, b, and c Ne is a continuous indep var I think of this full model as having three lines: thresh as a function of Ne for each condition. Thus we have slopea, slopeb, slopec, inta, intb, intc. lm output my params ------------------------- (Intercept) inta condb intb - inta condc

I've prepared preliminary versions of two packages that I plan eventually to contribute to CRAN: car (for "Companion to Applied Regression") is a package that provides a variety of functions in support of linear and generalized linear models, including regression diagnostics (e.g., studentized residuals, hat-values, Cook's distances, dfbeta, dfbetas, added-variable plots,

I've prepared preliminary versions of two packages that I plan eventually to contribute to CRAN: car (for "Companion to Applied Regression") is a package that provides a variety of functions in support of linear and generalized linear models, including regression diagnostics (e.g., studentized residuals, hat-values, Cook's distances, dfbeta, dfbetas, added-variable plots,

I've prepared preliminary versions of two packages that I plan eventually to contribute to CRAN: car (for "Companion to Applied Regression") is a package that provides a variety of functions in support of linear and generalized linear models, including regression diagnostics (e.g., studentized residuals, hat-values, Cook's distances, dfbeta, dfbetas, added-variable plots,

I am new to R and would like to get some practice analyzing multilevel data. I wonder if anyone can point me to a sample data set and command lines that I might replicate for a sample session. I would then compare my output with HLM output. Any help is appreciated. ------ Harold C. Doran Director of Research and Evaluation New American Schools 675 N. Washington Street, Suite 220 Alexandria,

I've just installed R 1.6.1 and would like to install all the contributed packages I had used in 1.5.1. It's not too hard to do this manually from Rgui, but I wondered if there is an easier way, something like writing the results of installed.packages() from 1.5.1 to a file and using that with install.packages() in 1.6.1, or just having 1.6.1 read what's in rw151/library. --

Dear Listers, I am having trouble figuring out how to build a formula using a variable list. For example, I have: a _ data.frame(a=rnorm(1000)) a$b_rnorm(1000)+.5*a$a a$c_rnorm(1000)+.5*a$b a$d_rnorm(1000)+.5*a$b+.1*a$a attach(a) and I estimate, lm(d ~ b+c+d) BUT, I wish to construct a generalized solution in which, ListOfVar _ c('b','c','d') The question is how

Dear R People: I have a few questions about multiple comparisons and contrasts for ANOVA, please. I've tried some things but with no success. Suppose I have a completely randomized design, and I want to have the contrast \mu_1 - 0.5 \mu_2 - 0.5 \mu_2 How do I set that up, please? I used the C command, and ran aov, but the results were identical to those with no contrasts. Also, is there

I am used to using R under unix. I have a problem with R under Windows-2000: Suppose I have a is a plain text file code.r full of R code that I want to source into R. My problem is that Windows invisibly tacks ".txt" onto the end of the filename (the name looks like code.r but it is really code.r.txt). How to get windows to both allow me to call it code.r (for real! Not code.r.txt) and

I am using the loglin function of the base package to fit log-linear models. I am interested in obtaining the parameter values and their standard errors. Parameters are easily obtained, but I haven't found the way of obtaining their standad errors. Is this possible with the loglin function? If not, is there any other function to get them? Many thanks, -- Vicente Piorno Departamento de Ecolox?a

R Users I am a new user of R. I have sample weights that I would like to apply to some of the variables in my data set. Where can I go for information on how to do that? Richard

Dear list, Is there a function (or an equivalent way) in R resembling the lsmeans command in SAS? The objective is to get the (adjusted) means for design models. Thanks in advance. Regards, Washington Santos da Silva.

hey what should I do to replace in a data frame NA?s with zeroes? Thanks in advance Juan Pablo

Hi, A simple question. I want to assign values to columns (or rows) of a matrix. It seems that AA[,i]<-A; # A is a vector or array; doesn't work. How can I accomplish that? Thanks alot. -MY