similar to: comparing class() -- R=NULL and S+=numeric

This is not a criticism. I'm just curious. Is there an effort to keep R comparable to S+? Or are the two languages diverging? I am doing what probably legions have done before me, and legions will after me...using R on examples from text books written with S+ code. Most of the time everything appears to be equivalent. And then there are amazing divergences in commands. For instance: S:

I need some guidance on what is the best way to automate R I am aware of Rterm. First question: Is it true that R is not currently OLE accessible under Windows 2000? Second question: Is there an R command that echoes all R Console results to a run log system file? My first attempt to write a run log file is the example from the R Data Inport/Export documentation. > zz<-

All Is there an R command to produce error bars around a plotted point. Crawley's book uses the command error.bar() but my version of R rejects it. Must be an S+ command(?). Thanks REX [[alternative HTML version deleted]]

To all I have some simple questions pertaining to weights used in regression. If the variability of the dependent variable (y) is a function of the magnitude of predictor variable (x), can the use of weights give an appropriate answer to the regression parameters and the std errors? Assume that y at x=1 and 6 has a standard deviation of 0.1 and at x=11 it is 0.4 Then according to a web page on

To All How does one get a list of functions from a loaded package so that one can then get the appropriate help for each of the functions. Currently my method is based on a lot of trial-and-error. Here's an example of what I mean... >From this forum I learn that an interesting package called "multtest" exists on Bioconductor. I then use R Console's "Packages" --

Any idea why I can no longer plot two graphs on the same graphics device using the par(fig=) parameter? A simpler par(mfrow=c(1,2)) does work, showing the two plots side-by-side, but I would like the first to be larger. This simple example fails: x<-c(1,1,NA,2,2,NA,3,3) y<-c(2,4,NA,3,5,NA,1,4) par(fig=c(0,2/3,0,1)) plot(x,y) par(fig=c(2/3,1,0,1)) qqnorm(x) When plotted, the last

Is there an eloquent solution to re-assign vector element values? I have a vector which contains chemical data, some of them are "flagged" as non-detected values by their negative values. I can find the statistics on the positive values in vector "v" simply by typing: >v<- c(5,5,-3,-3,7,8,10) > v[(v>0)] [1] 5 5 7 8 10 I can also convert to positive values by

The last two times I have originated message threads on R or Bioconductor I have received the message included below from someone named Patrick Connolly. Both times I was the originator of the message thread and used what I thought was a unique subject line that explained as best I could what my question was. Patrick seems to be implying that I am abusing the R and BioC help newsgroups in this

R-wizards I have successfully run with S+ a statistical power calculation for non-normal distributions as presented in M. Crawley?s new book.? When I tried the newest version of R on the same code, the $ parse statement doesn't seem to retrieve the appropriate number from a table. Note that some of the cosmetic differences in the two tables have to be dealt with by the parser. Any ideas

How do I post text-string dates along the x-axis instead of the excel_date position values? I would like to plot a time-series of chemical values changing with time The first column is the internal date from excel. This should be the x-axis position of a graph of the plotted data. The second column is a text-string of date. This should be what is posted (instead of the excel_date). The third

When converting from JSON to R it seems logical that a JSON array would correspond to an "unnamed" R list, while a JSON object would correspond to a "named" R list. E.g. JSON: [1, 3.1415927, "foo", false, null] => R: list(1, 3.1415927, "foo", FALSE, NA); and JSON { "int": 1, "float": 3.1415927, "string": "foo",

To R-wizards: Thank you for your quick an insightful responses. I now have R running a translated version of S+ code for power calculations for non-normal data. This is from the Michael Crawley's new book Statistical Computing--An Introduction to Data Analysis using S-Plus. Peter Dalgaard corrected me on the issue of the $ operator not being a parser. It sure looked like an advanced Regex

I would like to plot and unplot a line to a graph using R's line command. This would allow for sequentially trying different plotted functions for a visual fit. Is there a way to do this? Rex

?s 14:47 de 09/01/2023, akshay kulkarni escreveu: > Dear members, > I have the following code: > >> TB <- {x <- 3;y <- 5} >> TB > [1] 5 > > It is consistent with the documentation: For {, the result of the last expression evaluated. This has the visibility of the last evaluation. > > But both x AND y are created, but the

All, I am using a sum of squared differences in the objective function of an optimization problem I am doing and I have managed to speed it up using the outer function versus the nested for loops, but my suspicion is that the calculation could be done even quicker. Please see the code below for a simple example. If anyone can point out a faster way I would appreciate it greatly. Thanks, Roger

I''m trying to run mongrel on port 80 and switch to a different user/group from root. As root, this works: mongrel_rails start -p 3000 -u rails --group rails This: mongrel_rails start -p 80 -u rails --group rails dies with: --------------------------- ** Changing group to rails. ** Changing user to rails. ** Starting Mongrel listening at 0.0.0.0:80

Hi, I guess the answer is negative but I thought I would ask just the same: is it possible to use any of the S+ toolboxes (ARCH and wavelets, more particularly) with R? Thanks, Olivier Lefevre Union Bank of Switzerland New York, NY PS: Please cc me any reply as I am not on the list (at least not yet).

Dear Mr. Cleland, SEM-ueser, R-User, ... there isn't s-plus or R (a GNU-free version of the programming language S) code for structural equation modelling. I always wondered why. I personally think the language S, with the implementations S+ and R, is a good-perhaps the best-environment for statistical analyses. Why? It is object orientated, logical, etc. For example: the code for least

We are looking for an Analytics Consultant to work closely with our TIBCO Spotfire account management and implementation teams as well as our development team to provide analytics expertise within a pre and post sales capacity, proof-of-concept, customer implementation, methodology development and code development to sharpen our current tool kit to name a few. This position will require some

Just found because an old (written for S+) function of mine did label plots wrongly with R. Example --- inspired from example(qqnorm) --- data(precip) qqnorm(precip, ylab = "Precipitation [in/yr] ...") qqnorm(precip, ylab = "Precipitation [in/yr] ...", datax = TRUE) this is all "fine" -- `datax' is a switch that just switches the axes but keeps the