similar to: How should i change the SAS Codes into R Codes?

Hi, I am trying to add a column of numbers to a data frame in R with multiple conditions. Here is a simplified example df: [A] [B] [C] [D] [E] [1] 1 X 90 88 [2] 1 Y 72 70 [3] 1 Z 67 41 [4] 2 X 74 49 [5] 2 Y 42 50 [6] 2 Z 81 56 [7] 3 X 92 59 [8] 3 Y 94 80 [9] 3 Z 80 82 I would like column [E] to have a certain value (found either in [C] or [D]) based on conditions in columns [A] *and* [B].

Hi friends, I have a matrix with following format. group var1 var2 .......varN c1 group1 1.2399 1.4990....-1.4829 c2 group4 0.8989 0.7849.....1.8933 ... ... c100 group10 ..... I want to draw a profile plot of each condition c1 to c100, which rows in above matrix and each line representing a row should be uniquely colored according to the group(1 to 10). I think this is simple task

I have written a function that contains runs lm() vif() and glm() When the glm() blows up with an error message, I don't get the output from either the lm() or vf() even thought neither lm() nor vif() have any problems . How can I force the function to print sequential results rather than wait for the entire function to complete before listing the functhion's output? Thanks, John

Hello Dimitris, I was goggling for some help on Sensitivity vs 1-specificity and saw your link. I hope you can be of help to me in one of the issue that I am facing in generating combo chart(bar chart and plot). I am a novice and have some difficulty in getting this logic correct. I am give a dataset (I am attaching a sample dataset). I am using a barplot() and passing values for

Hello there, In gdata package, read.xls is to be used for reading excel data (from windows). The following is my code:('C:/session/sampledata.xls' is where the file is stored) data1<-read.xls('C:/session/sampledata.xls',sheet=1) and I got the following error message: Error in system(cmd, intern = !verbose) : perl not found Could you please tell me what I have done wrong and

Dear all, I want to see the source codes for "dchisq(x, df, ncp=0, log = FALSE)", but cannot find it. I input "dchisq" in the R interface, and then enter, the following message return: > dchisq /*****************************************************/ function (x, df, ncp = 0, log = FALSE) { if (missing(ncp)) .Internal(dchisq(x, df, log)) else

Windows XP R 2.8.1 Colleagues, I am trying to run a function testone() and if the function completes without error do one set of instructions, and if the function generates either a warning or an error run another set of instructions. I have read try, and tryCatch help screens at least 20 times, have tried to experiment with code, but I can't understand how to accomplish my desired task.

Hi all, In R, is there some functions or ways to create a Clustered-Stacked Column Chart as the example in the following page http://peltiertech.com/Excel/ChartsHowTo/ClusterStack.html? I have browsed the R Graph Gallery (http://addictedtor.free.fr/graphiques/) and searched the R site, and didnot find an appropriate method to do it. Anybody has met this problem before? Thanks a lot.

Hi R Users, I tried plotting a similar boxplot as it is on the FOLLOWING LINK: http://www.imachordata.com/wp-content/uploads/2009/09/boxplot.png Sample data is attached -- there are 9 years and 5 cities. In my case I'm looking to plot "Year" on x-axis and grouping boxplots by "City". I tried the following code. foo<-read.table("SampleData.csv",

I am a relatively new user of R and have a question about using the read.table command for reading in .csv files that contain dates. My ultimate goal is to be able to read several different files into data frames and then do a merge along the "Date" column of each data frame. It seems I should be able to specify the name of the column that contains dates and then automatically convert

I appologize if this post is a duplicate, but I did not get my first post myself.. Here is my original post: --------------------------------- Hi all, I've got some troubles with a Lattice plot. The error I get is Error in Ops.factor(groups[subscripts], vals[i]) : Level sets of factors are different which sort of doesn't make sense to me. Can you please help me figure out what

Dear R users, We have some programs for the specific task in our research, but they were very commonly used. We want to make some functions for them, anybody can recommend any good tools to facilitate us to create R functions even without going deep into the theories of R functions ? Any suggestions or help are greatly appreciated. -- With Kind Regards, oooO::::::::: (..):::::::::

Good morning to everybody, I have a problem : how can I import excel files in R??? thank you very much Dr.sa. Erika Frigo Università degli Studi di Milano Facoltà di Medicina Veterinaria Dipartimento di Scienze e Tecnologie Veterinarie per la Sicurezza Alimentare (VSA) Via Grasselli, 7 20137 Milano Tel. 02/50318515 Fax 02/50318501 [[alternative HTML version deleted]]

sample report data that i want to forecast quarter quarter_index Revenue 2007 Q1 1 $3,856,799 2007 Q2 2 $4,243,328 2007 Q3 3 $4,930,369 2007 Q4 4 $5,443,579 2008 Q1 5 $5,164,830 2008 Q2 6 $5,104,413 2008 Q3 7

Dear R-users, I generate a dataset "d", and want to get a subset from it. ** *z<-rnorm(9) coords<-cbind(x=c(1,1,1,2,2,2,3,3,3),y=c(1,2,3,1,2,3,1,2,3)) d<-SpatialPointsDataFrame(coords, data.frame (z=z[1:9]))* The result*/dataset* is coordinates z 1 (1, 1) 1.41173570 2 (1, 2) 0.18546503 3 (1, 3) -0.04369144 4 (2, 1) -0.21591338 5 (2, 2)

Dear Rusers, The error for the following was that it cannot allocate the vector of length 1920165909. a <- expand.grid(se1=0:100/100, sp1=0:100/100, se2=0:100/100, sp2=0:100/100, DR=0:100/100) How to solve it? Maybe setwd(dir) can, i am not very sure about it. Any ideas about it? [[alternative HTML version deleted]]

Dear friends, The following is an example to explain my question. I want to get a legend which will show the z-values according to different colors in image() function. x<-sort(runif(10)) #x-coordinates y<-sort(runif(10)) #y-coordinates z<-matrix(runif(100),nrow=10) #attributes values image(x,y,z,col=gray((6:3)/6)) # legend(x,y,legend=z,col=gray((6:3)/6)) #error. the colors should

Dear Rusers, I have met a difficult problem on explaining the differences of principal component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't met before. Althought they have got the same eigenvalues, their coeffiecients were different. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it.

Dear R users, I hope to explain the concepts of skewness and kurtosis by generating series of distributions with same skewness and different kurtosis or with same kurtosis and different skewness, but it seems that i cannot find the right functions. I have searched the mailing list, but no answers were found. Is it possible to do that in R? Which function could be used? Thanks a lot. --

Dear Uwe Ligges , I still can't finish it. *> aa* #my data x1 x2 y 5 0.05 6 4.4180 1 0.50 3 2.6979 4 0.50 9 2.9000 7 0.95 6 2.6230 8 0.95 6 2.9078 9 0.95 6 2.6727 3 1.40 3 2.4203 2 1.40 9 2.5329 6 1.85 6 2.4867 *> attach(aa)* *> persp(x1,x2,y* error in persp.default(x1, x2, y) : increasing 'x' and 'y' values expected