similar to: database-like natural join operations in R?

crosstabs, merge, by, and aggregate, as discussed in section 4.2 of _Modern Applied Statistics with S-PLUS, 2ed_ would be nice. -- Russell Senior seniorr at teleport.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe"

I would like to make readline's command history in R-0.63.1 substantially larger than it is by default (seems like around only 50 commands). How do I change the size? Thanks! -- Russell Senior seniorr at teleport.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I just released the Teleport gem - easy Ubuntu server setup via teleportation. Teleport sets up servers by "teleporting" to the machine and running itself there. It installs Ruby, then follows the instructions laid out in your Telfile to customize the server. https://github.com/rglabs/teleport The role/server setup is similar to Capistrano, though the syntax is slightly different. You

================================================= This is an automated summary of the status of the R-bugs repository. Note that this may be neither complete nor perfectly correct at any given instance: Not all bugs are reported, and some reported bugs may have been fixed, but the repository not yet updated. Some bug fixes are difficult to verify because they pertain to specific hardware or

Hello, I'm an absolute beginner with R and neophite in data analysis, so please bear with me if I ask stupid question. I'm trying to do a correspondence analysis using R and MASS corresp function, but I get an error message which I'm unable to interpret: > data(weblog) > library(MASS) > corresp(~ url + fromurl, data=weblog) Error in svd(t(t(x1 * Dr) * Dc)) : error 306 in

Hi, How to get file associations to work from wine/win applications? Have got Teleport Pro (Web spider) to work and files saved successfully. The files are displayed within Teleport (*.htm, *.html, *.txt etc) but when I click on the files to open them the links to the Linux programs associated with these files are obviously not there. How can these associations be fixed? Best regards,

Hello, I have been trying to get an ANOVA table for a linear model containing a single nested factor, two fixed factors and a covariate: carbonmean<-lm(C.Mean~ Mean.richness + Diversity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, Mean.richness is a covariate, Zoop is a categorical variable (the species), Diversity is a categorical variable (Low or High), and Phyto (community

Hello, I have been trying to get an ANOVA table for a linear model containing a single nested factor, two fixed factors and a covariate: carbonmean<-lm(C.Mean~ Mean.richness + Diversity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, *Mean.richness* is a covariate*, Zoop* is a categorical variable (the species), *Diversity* is a categorical variable (Low or High), and

Hello, I have a bug in my data that read.csv doesn't like, but _only_ when specifying "na.strings = 'missing'". If I delete the offending Chinese characters the problem goes away as well. I'm satisfied that the problems with this data file are fixed, but is there anything I can to do avoid this in the future (other than avoiding Chinese characters). Any ideas as

Dear R members, I tried to fit an lme model and to use the glht function of multcomp. However, the glht function gives me some errors when using weights=varPower(). The glht error makes sense as glht needs factor levels and the model works fine without weights=. Does anyone know a solution so I do not have to change the lme model? Thanks Sibylle --> works fine

I'd like to generate some plots like you'd see on the old "normal probability graph paper", like the first plot in: <http://www.itl.nist.gov/div898/handbook/eda/section3/normprpl.htm> except the horizontal scale would have 1%, 5%, 25%, 50%, 75%, 95%, 99%, or similar quantiles, with associated tick/grid lines. [still hunting around for a good example...] something like

Dear R-user I used lme to fit a linear mixed model inlcuding weights=varPower(). Additionally I wanted to use glht to calculate Tukey-Kramer multiple comparision. error: > glht(modelF, linfct=mcp(Species="Tukey")) Error in glht.matrix(model = list(modelStruct = list(reStruct = list(SubPlot = -0.305856275920955, : ?ncol(linfct)? is not equal to ?length(coef(model))? >

I am writing some R code that generates some figures. I am primarily developing on GNU/Linux, but will ultimately run the code on Windows in order to get WMF files I can integrate in an existing document. The win.metafile() function, of course, doesn't exist in the GNU/Linux version of R. I am contemplating writing an abstraction layer that runs the right thing, but I need to know how the

I am getting ready to load a bunch of data into R. The data is all numeric, but some of the numbers are integer codes representing non-numeric semantics. What is the best way to "fix" the data frames so that these compenents are recognized as "factors" or "ordered", as appropriate? Can I "assign" to some attribute of the data frame component, like the

Hi All, Real neophyte here, to both backgroundrb and ruby/rails in general. (Hey, we''ve all got to start somewhere, right!) :) I''ve just been playing around with the example code at http://backgroundrb.rubyforge.org/ , and trying to get all the pieces to work (btw, I''m using version 0.2.1). I did a ''generate worker example'', which created an

Hi   I want to make a grid map using diversity indices. I have a soil grid map with 7 class in r. how can I make a diversity map based on soil map in r?  I found something for calculation diversity in a table (.csv).   Thanks [[alternative HTML version deleted]]

I am writing a little abstraction for a series of tests. For example, I am running an anova and kruskal.test on a one-factor model. That isn't a particular problem, I have an interface like: my.function <- function(model,data) { print(deparse(substitute(data))) a <- anova(lm(formula,data)) print(a) if(a$"Pr(>F)"[1] < 0.05) { pairwise.t.test(???) }

Hi, I have a small simple data frame (attached) - to compare diversity of insects encountered in disturbed and unditurbed site. What i have is the count of insects - the total number of times they were encountered over 30 monitoring slots. Can someone please check for me to make sure how the 'community data matrix' for the diversity function needs to be oriented so that i'm

I have R version 2.9.1 on my computer and the anlaysis is not working because I need to update to R version 2.12.0 the latest release. The person incharge of IT tried to download R version 2.12.0 but .exe file referenced in install isn't there - What might we be doing wrong? We have downloaded as tar.gz, uncompress then look for .exe file but not present. Many thanks, Morris

Dear R users, I know, the topic is more related to the r-sig-ecology. I decided to post it to the r-help as some specific topics of my question deals with NA-values and RDA (R vegan) and an adaptated RDA code due to a specific study design (including a second matrix). I am calculating a RDA for a dependent matrix (different variables for tree performance) and different explanatory