similar to: extensive grid docs?

I've been trying to figure out why the following is happening.... I've got some data I'll load in from a file... rm(list=ls(all=TRUE)) trees <- read.table( "c:/cruisepak/data.txt", header=T) trees$ct <- 1 And when I create some temp variable, then split the data to perform further processing, the additional column doesn't maintain the data correctly.... mtrees

I've been developing a package and have been getting the following warning when running the check command: * checking S3 generic/method consistency ... WARNING plot: function(x, ...) plot.summaries: function(trees, sp) * checking for replacement functions with final arg not named 'value' ... OK * checking Rd files ... OK ...blah, blah, blah... * checking examples ... OK *

I've tried to predict the values from a new data.frame using the nls.predict function and keep getting the error message: Error in if (sum(wrong) == 1) stop(gettextf("variable '%s' was fitted with class \"%s\" but class \"%s\" was supplied", : missing value where TRUE/FALSE needed I first thought that it was becuase there may have been something

I've been working on a LaTeX document that contains Sweave code and cannot get MikTeX to find the Sweave.sty file. I've added the c:\rw1081\share\texmf path in the MikTeX roots (I've ven added the path in the environment variables ) but to no avail. Is there a trick to getting Sweave installed correctly when using MikTeX on Windows XP? Do I need to move/copy the Sweave.sty file to the

I've been trying to plot the predicted values, as a line, over the data for a simple nonlinear fit with the following commands: plot( hg ~ ht ) ... define some function hg ~ ht + junk ... ... blah, blah, obtain parameter estimates and predicted values, blah... ... then... lines( sort( $predicted ) ~ sort( ht ) ) which results in a line that isn't smooth (which I knew would happen).

I've been trying to figure out how to prevent a column that is the result of an aggregate function call so that I can use it in further calculations. For example, I would like to aggregate the expf for the data.frame by sp (character) and dbh (double d=rounded to integer) using the command: > st2 <- aggregate( ntrs$expf, by=list(sp=ntrs$sp,dbh=ntrs$dbh), sum ) > st2$expf <- st2$x

I've been trying to figure out how to accomplish the following... I've got a list (returned from a function) and I would like to "cbind()" the lists together to create a "cross tab" report or simply bind them together somehow the function returns a list that looks like the following: > all$BM $species [1] "BM" $vbar.nobs [1] 3 $vbar.sum [1] 54.05435

I'm trying to plot a grid over a levelplot print( levelplot( var1.pred~x+y, data=saw.pred, aspect=mapasp(saw.pred), col.regions=terrain.colors(80), main=main) ) using the data... > saw.pred x y var1.pred var1.var sort 1 5 5 3.3761200 256.3363 saw 2 15 5 3.3884142 499.5695 saw 3 25 5 3.5394769

I've wondered why the digest version of the r-devel emails have the messages as attachments and the r-help-request have all the messages in one email (which I like MUCH better). Is it possible to send out the r-devel digest emails in the same format as the r-help-request digest emails? please, pretty please? --- Jeff D. Hamann Forest Informatics, Inc. PO Box 1421 Corvallis, Oregon USA

I've been trying to create a shlib file (using mingw instead of the cygwin -- after reconfiguring my machine, yet again) and I'm getting the following behaviour that I think is incorrect: When using rcmd shlib and explicitly listing the files to include in the build such as: C:\Sequential\Code>rcmd shlib --output=optflikam flikam.c as47.f as154.f as197.f making corrAdaptiveSim.d from

I've been trying to create a shlib file (using mingw instead of the cygwin -- after reconfiguring my machine, yet again) and I'm getting the following behaviour that I think is incorrect: When using rcmd shlib and explicitly listing the files to include in the build such as: C:\Sequential\Code>rcmd shlib --output=optflikam flikam.c as47.f as154.f as197.f making corrAdaptiveSim.d from

R-developers: How do we go about adding keywords to the KEYWORDS and KEYWORDS.db files? I would like to add "econometrics & Econometrics" to the Statistics section of the file... Is this something I would have to do through CVS? Statistics datagen & Functions for generating data sets distribution & Probability Distributions and Random Numbers univar & simple

I've got a package I would like to send out for testing and have noticed a "problem" with the \tabular portion of the help "compiler" the code for inserting vertical lines, in the tabular environment, causes the build to choke, but not the check command. C:\>rcmd build --binary -docs=all nlsystemfit \tabular{|l|c|c|c|}{ \hline Method \tab Instruments \tab

I've been working on a shared library that will be called from R. The functions pass several vectors in and out (residuals, parameters, etc) and I would like to be able to return a list of objects. I'm familiar with return single objects (vectors, etc) from a C function, but need a little help for returning a list of objects. My code so far looks something like: /* this function will

I've been working on a shared library that will be called from R. The functions pass several vectors in and out (residuals, parameters, etc) and I would like to be able to return a list of objects. I'm familiar with return single objects (vectors, etc) from a C function, but need a little help for returning a list of objects. My code so far looks something like: /* this function will

I've been trying to figure out how to build a list of terms from a nonlinear model (terms() returns a error). I need to compute and evaluate the partial derivatives (Jacobian) for each equaiton in a set of equations. For example: > eqn <- q ~ s0 + s1 * p + s2 * f + s3 * a > sv2 <- c(d0=3,d1=4.234,d2=4,s0=-2.123,s1=0.234,s2=2.123,s3=4.234) > names( sv2 ) [1] "d0"

Can someone tell me why this is since I can't seem to find an explination in the docs or FAQ for this. Since there are no "BM" in the mtrs data.frame, but only in the "parent" data.frame (trees), I'm assuming the subset data.frame is still associated with the original. Is that correct and how would I create a completly separate data.frame since I'll be using by,

R gurus: I'm thinking about using R for website traffic analysis but didn't find anything in my web searches specific to R. If I have the webpages (simple example would contain something like three (3) static pages with a couple of links each) and parse the apache access log file (httpd-access.log), then I can populate the graph representing the website and perform whatever analysis I

I'm adding a couple of vignettes to an existing package. When I make a change to the sweave file, and run the check command, c:\conifers\trunk>R CMD check rconifers I get the following message(s) in the 00check.log file: * checking for unstated dependencies in vignettes ... OK * checking package vignettes in 'inst/doc' ... WARNING Package vignette(s) without corresponding PDF:

I've got a newbie question and I got a little lost in the "table helps". I've got a data.frame I would like to summarize as a (and pardon for the lack of correct vernacular) data collection matrix. My data looks like, stand siteindex age acres pct.acres 1 232 116 45 8477.3105 0.56159458 2 234 121 25 11120.1530 0.73667441 3 235 132 25