similar to: Suggestions ?!?!

hi chaps: a simple suggestion: R tells me who the contributors() are, but this should also tell me where I should mail suggestions to. Is it this mailing list? a repository of suggestions? an individual? this came up because i wanted to suggest two small enhancements: the first is for the summary() method for plain data frames. it would seem to me that the number of "NA"s

Dear all,=20 without taking sides here, I see two major advantage of keeping the redundancy in any documentation minimal. First, it makes the maintanance of the documentation as simple as possible. This in turn, minimizes the risk for getting inconsistent documentation in new updates. Otherwise, someone has to have a really good overview and know where to update when, say, one default argument is

hi henrik (all): A better solution would be to have levels: set.help(level="beginner"), which then provides expanded explanations. However, I do not think this is necessary: For the most part, the online R docs are great. It is not more detailed explanations that beginners crave. My primary wishes arise as I stumble onto a need, and then wish for a few more examples of different

I think many people share your view and are aghast at the reception that some well-intentioned posts receive. There have been past discussions on this and many people feel the way you and I do. Just to head off another round, let me acknowledge that there appears to be multiple viewpoints and although hard to believe by myself, there actually is a contingent that views what I see as

Ivo, Let me address your points in reverse order: 1. There is a `wishlist' category for bug reports, which I guess you've overlooked. 2. There is also a `Contributed Documentation' section on the R web site, which you can submit your contribution. As well, there are a few introductory level documents there already that you might be interested. 3. I must repectfully disagree about

Apologies, basic question on plot. y <- c(-4,3,-2,1); x <- c("time 1", "time 2", "time 3", "time 4"); plot(x,y, type="b"); of course fails. x <- 1:4 makes it succeed, but then I have too many ticks on my X axis. I want exactly 4 tickmarks. It would also be nicer if I could name the ticks. I looked at ?par and Venables&Ripley,

I sent this privately to ivo welch yesterday, and he thinks it might be useful to someone else as well. Since I'm on a Mac the screen device is quartz(): > quartz() > plot( c(0,1), c(0,1) ); > text( 0.5, 0.5, "\u2113" ) # and then File/Save As/ -- David. Begin forwarded message: > From: David Winsemius <dwinsemius at comcast.net> > Date: August 17,

dear wizards: FYI: gentoo is a linux meta distribution, which compiles all packages. Once running, gentoo is stable on most applications. (it has some problems with system tools, such as grub.) the compiler is gcc 3.3.3. I do not expect anyone to track down for me why R fails on the gentoo amd64+gcc3.3.3 system, but I thought that it would be good to put it on the record to save

dear wizards: FYI: gentoo is a linux meta distribution, which compiles all packages. Once running, gentoo is stable on most applications. (it has some problems with system tools, such as grub.) the compiler is gcc 3.3.3. I do not expect anyone to track down for me why R fails on the gentoo amd64+gcc3.3.3 system, but I thought that it would be good to put it on the record to save

Dear all, I met a problem when installing new packages on R, my system is linux fedora 6.0, the following is output. please help me. Thanks. > install.packages('lars') --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://www.stathy.com/cran/src/contrib/lars_0.9-5.tar.gz' Content type 'application/x-tar' length

Dear all, There is this delcol() function in Splus. It is a support function for drop1.lm(). But it seems it disappears from R. Could some one tell me whether there is any equivalent function of delcol() in R or is there any other way that I can implement its functionality? Your help is highly appreciated!!! Regards, -Ji

dear R experts---I am struggling with the requirements to prepare my files for my printers. I am printing in 2/2 format, which means cyan and black for me, which they take from my color-separated pdf files. R comes into play, because it produces all the figures that are embedded in my book (pdflatex). now, TeX has no problems producing CMYK files. However, R produces RGB files (for

Dear R experts--- Has anyone written parallel versions of "by" (i.e., mcby) and "ave" (i.e. mcave) ? I did ask a question like this a year ago, and then the answer was no. for those who are googling the group for the answer to this question, in the meantime, the poor man's version of "by" is mclapply( split( ds, factor ), FUN ) I don't know the poor

Dear R experts--- I doubt that someone has already solved my problem, but I thought I would ask quickly, just in case someone has. Let' say I start with a (flattened panel) model that says y[i] = x[i] + b*(T-x[i]) easy enough---this is just a linear model. I could also make this a fixed-effects model if I change T to T[fmid], where fmid is the firm's id. I know I can do this

dear R experts---now I have a case where I want to estimate very large regression models with many fixed effects---not just the mean type, but cross-fixed effects---years, months, locations, firms. Many millions of observations, a few thousand variables (most of these variables are interaction fixed effects). could someone please point me to packages, if any, that would help me estimate such

SAS * better manuals. * tech support for most universities contracted into the price, thus for researchers. * batch orientation. if you have to handle data sets that are as large as your memory, SAS generally does it better. It seems to be an "n-pass design." Years ago, when memory was expensive, I could not use S/R even for simple problems. Just a few simple operations, and I

dear R wizards: an operation I execute often is the deletion of all observations (in a matrix or data set) that have at least one NA. (I now need this operation for kde2d, because its internal quantile call complains; could this be considered a buglet?) usually, my data sets are small enough for speed not to matter, and there I do not care whether my method is pretty inefficient (ok, I

dear R experts---quick question. I need to estimate a model that looks like y = (b*T+d*T^3) + (1-b-3*d*T^2)*x + (3*d*T)*x^2 + (-d)*x^3 I only have three parameters. Is nls() the right tool for the job, or is there something faster/better? /iaw ---- Ivo Welch (ivo.welch@brown.edu, ivo.welch@gmail.com) [[alternative HTML version deleted]]

Dear R experts: this is probably correct behavior, but I do want to point out that it is unexpected to someone not too well versed: > test=factor("A","B","C","A") > ifelse(test=="A", as.factor("A"), test) [1] 1 2 3 1 ok, my factor was just coerced into integers, even though I have a logical vector as my condition and factors as

I have a set of functions that I always load on startup. for example, there is my now infamous "is.defined()" function. I would like to add some documentation for these functions, so that I can do a ?is.defined inside R. The documentation tells me how to mark up Rd files is very good, but I wonder how one installs them for access by the R executable (on OSX for me). Do I drop