similar to: Is it possible to create highly customized report in *.xlsformat by using R/S+?

I've been working on a package that requires a shared library to be loaded. I have used the NAMESPACE file to load the library according to: http://cran.r-project.org/doc/manuals/R-exts.html#Load%20hooks <http://cran.r-project.org/doc/manuals/R-exts.html#Load%20hooks> my shared library is "excelpoi.so" hence I have added "useDynLib(excelpoi)" to my NAMESPACE file.

I remember in one slide of Prof. Ripley's presentation overhead, he said the most popular data analysis software is excel. So is there any resource or tutorial on this topic? Thank you so much!

Dear sir, I have a matrix like a<-matrix(c(0,2,0,4,0,6,5,8,0),nrow=3) colnames(a)<-c("F1","F2","F3") rownames(a)<-c("A1","A2","A3") a F1 F2 F3 A1 0 4 5 A2 2 0 8 A3 0 6 0 I want to extract all pairs (rownames, columnames) from which the value in the matrix is 0 The result should be something like this A1, F1 A2,

> From: Wensui Liu > > I am sorry that I did not state my question clearly. > > What I mean by data manipulation includes sort, merge, aggregate, > transpose, R has functions for doing those: sort(), merge(), aggregate(), and t(), respectively. > data export and import, format, date & time handle, and so > on, As others have pointed out, R comes with a manual on

In real world, data manipulation might take even longer time and more effort than statistical analysis and modeling. Does anyone know a good book and tutorial about data manupulation? Thank you so much. -- WenSui Liu, MS MA Senior Decision Support Analyst Division of Health Policy and Clinical Effectiveness

This is the most basic question ever...I haven't used R in a couple years since college so I forget and haven't been able to find what I'm looking for in any of the manuals. I just need to figure out how to load a dataset into the program from excel! Thanks! CL [[alternative HTML version deleted]]

I have been trying to open data that I have saved in an excel spread sheet. I saved it as a csv. Then I tried using the read.csv command. However, everytime I do this-- diseasedat<-read.csv("M:/sloan/R/disease/disease.csv", sep=, header = TRUE, fill= TRUE)-- I get an error message: Error in file(file, "r") : unable to open connection In addition: Warning message:

Hi all, Does anybody know the easiest way to import excel data into R? I copied and pasted the excel data into a txt file, and tried read.table, but R reported that Error in read.table("data_support.txt", sep = " ", header = T) : more columns than column names Thanks! Ling

Hello to all, How can I make R read the data from an Excel sheet? thanks, ozlem [[alternative HTML version deleted]]

i'm a newbie at building rpms. I made a few rpms years ago, but can't now make one on Centos 5. In /usr/local/rpmbuild, there are 5 subdirs: BUILD RPMS SOURCES SPECS SRPMS tmp When I type: rpmbuild -ba /usr/local/rpmbuild/SPECS/centos-release-cr-ihc.spec I get 'file not found' errors, for paths in /usr/local/rpmbuild/tmp: error: File not found:

Here is my R Code x<-1:20000 y<-2:141 data.matrix<-data.matrix(data[,y])#create data.matrix variableprobe<-apply(data.matrix[x,],1,var) variableprobe #output variance across probesets hist(variableprobe) #displaying histogram of variableprobe write.table(cbind(data[1], Variance=apply(data[,y],1,var)),file='c://variance.csv') #export as a .csv file. Output in Excel all in 1

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

Hello All: In R 1.2.0, one can easily change characters in a string using, for example, the following command, gsub("-"," ",c("1-7-1997","12-21-1997")) [1] "1 7 1997" "12 21 1997" Is there a similar command with S+ 2000? Thank you, ANDREW -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Well, R is not S+ nor SPSS. Although it is sort of similar to S+ in terms of how you use it... You can get it from http://cran.r-project.org/ To know more about what it really is, you can get my PowerPoint presentation from: http://www.stat.auckland.ac.nz/~kwan022/pub/R/Introduction/ or and article I wrote from: http://www.stat.auckland.ac.nz/~kwan022/pub/SDK/SAD/Journal/ If you're a

I'm just reading Modern Applied Statistics with S, 4th Ed., Venables and Ribley I'm typing in their examples in both R and S+. I need insight in the difference in the class() statement shown in Chap. 2. Example from book: > names(powers.of.pi) <- -2:2 > powers.of.pi -2 -1 0 1 2 0.1013212 0.3183099 1.0000000 3.1415927 9.8696044 >

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:

Hi, I've got the R library "mgcv" for GAM written by Simon Wood which works well in many instances. However, over the years I got attached to the S+ implementation of GAM which allows loess smoothing in more than 1 dimension as well as spline smoothing. Has anyone ported the S+ GAM library to R? Regards, Doug Beare. Fisheries Research Services, Marine Laboratory, Victoria Road,