Re: [R] Question about subsetting S4 object in ROCR
Ye sorry of course i'm interested to the area ranging from 0;0 to 0.4;0.8 thank you Guido 2013/5/27 Uwe Ligges lig...@statistik.tu-dortmund.de On 27.05.2013 16:18, Guido Leoni wrote: Dear list I'm testing a predictor and I produced nice performance plots with ROCR package utilizing the 3 standard command pred - prediction(predictions, labels) perf - performance(pred, measure = tpr, x.measure = fpr) plot(perf, col=rainbow(10)) The pred object and the perfo object are S4 with the following slots An object of class performance Slot x.name: [1] False positive rate Slot y.name: [1] True positive rate Slot alpha.name: [1] Cutoff Slot x.values: [[1]] [1] 0.00 0.00 0.05 0.10 0.10 0.10 0.10 0.10 0.15 0.15 0.15 0.20 0.25 0.25 0.25 0.25 0.25 0.30 0.35 0.35 0.35 0.40 0.40 0.45 0.50 0.50 0.55 0.55 0.60 [30] 0.65 0.65 0.70 0.70 0.75 0.80 0.85 0.90 0.90 0.95 1.00 1.00 Slot y.values: [[1]] [1] 0.00 0.05 0.05 0.05 0.10 0.15 0.20 0.25 0.25 0.30 0.35 0.35 0.35 0.40 0.45 0.50 0.55 0.55 0.55 0.60 0.65 0.65 0.70 0.70 0.70 0.75 0.75 0.80 0.80 [30] 0.80 0.85 0.85 0.90 0.90 0.90 0.90 0.90 0.95 0.95 0.95 1.00 Slot alpha.values: [[1]] [1] Inf 33309 32968 31688 31648 31355 31122 31047 30777 30589 30460 30395 30305 30159 29841 29101 28734 28657 28393 28196 27740 27662 27373 27078 [25] 26763 26303 25573 25416 25364 25357 24993 23834 23789 23616 22357 20669 20092 18720 18136 17323 16665 Now i'd like to make a plot (and also compute the AUC) only of the area corresponding to 0.80 y.values and 0.40 x.values. According to your experience is it possible to subset the perf object to the afore mentioned values? But x=0.4 and y=0.8 is just a point, so I don't get which plot and area you are talking about now? Best, UWe Ligges Thanks Guido [[alternative HTML version deleted]] __** R-help@r-project.org mailing list https://stat.ethz.ch/mailman/**listinfo/r-helphttps://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/** posting-guide.html http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Question about subsetting S4 object in ROCR
Dear list I'm testing a predictor and I produced nice performance plots with ROCR package utilizing the 3 standard command pred - prediction(predictions, labels) perf - performance(pred, measure = tpr, x.measure = fpr) plot(perf, col=rainbow(10)) The pred object and the perfo object are S4 with the following slots An object of class performance Slot x.name: [1] False positive rate Slot y.name: [1] True positive rate Slot alpha.name: [1] Cutoff Slot x.values: [[1]] [1] 0.00 0.00 0.05 0.10 0.10 0.10 0.10 0.10 0.15 0.15 0.15 0.20 0.25 0.25 0.25 0.25 0.25 0.30 0.35 0.35 0.35 0.40 0.40 0.45 0.50 0.50 0.55 0.55 0.60 [30] 0.65 0.65 0.70 0.70 0.75 0.80 0.85 0.90 0.90 0.95 1.00 1.00 Slot y.values: [[1]] [1] 0.00 0.05 0.05 0.05 0.10 0.15 0.20 0.25 0.25 0.30 0.35 0.35 0.35 0.40 0.45 0.50 0.55 0.55 0.55 0.60 0.65 0.65 0.70 0.70 0.70 0.75 0.75 0.80 0.80 [30] 0.80 0.85 0.85 0.90 0.90 0.90 0.90 0.90 0.95 0.95 0.95 1.00 Slot alpha.values: [[1]] [1] Inf 33309 32968 31688 31648 31355 31122 31047 30777 30589 30460 30395 30305 30159 29841 29101 28734 28657 28393 28196 27740 27662 27373 27078 [25] 26763 26303 25573 25416 25364 25357 24993 23834 23789 23616 22357 20669 20092 18720 18136 17323 16665 Now i'd like to make a plot (and also compute the AUC) only of the area corresponding to 0.80 y.values and 0.40 x.values. According to your experience is it possible to subset the perf object to the afore mentioned values? Thanks Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] generic question about differences between PCA and DMFA
Dear list I'd like to have your opinion about my case study. I'm analizing a dataset of 9 experiments and 15 variables with the aim to highlight the variables that can majorly explain the variance between the experiments. This is an example with only 3 rows and 5 variables var1 var2 var3 var4 var5 sample5 0,067 0,005 0,008 0,100 0,005 sample6 0,069 0,001 0,011 0,084 0,005 sample7 -7 -5 -1 34 4 My problem is that in some experiments (like in sample7) the measures related to my variables are measured as delta values (initial condition - final condition). In the other cases the variables are measured considering only the absolute values at my final condition. After PCA the model looks like strongly influenced by this difference (even if my data are centered to 0 and scaled to 1) because in the score plot I see with the first PC mainly the separation between experiments with positive and negative values and the second PC is not able to give to me further informations . In your opinion is there a way to compare these experiments measured in this different way? Alternatively do you think that the Dual Multiple Factor Analysis available with the package FactorMineR could be a better way to analyze these data? Thank you for any suggestion Guido -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] question about A2R
Dear List I'm trying to install a package not present in cran named A2R ( http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=79) After running the demo script I retrieve the following error: cannot change value of locked binding for '._a2r_counter' Please could someone give to me a tip about my error? Thank you very much Here is my sessionInfo() R version 2.15.0 (2012-03-30) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=it_IT.UTF-8 LC_NUMERIC=C [3] LC_TIME=it_IT.UTF-8LC_COLLATE=it_IT.UTF-8 [5] LC_MONETARY=it_IT.UTF-8LC_MESSAGES=it_IT.UTF-8 [7] LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=it_IT.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] splines stats4grid stats graphics grDevices utils [8] datasets methods base other attached packages: [1] fpc_2.0-3 flexmix_2.3-8 multcomp_1.2-12 survival_2.36-14 [5] mvtnorm_0.9-9992 modeltools_0.2-19 lattice_0.20-6mclust_3.5 [9] cluster_1.14.2MASS_7.3-19 A2R_0.0-4 loaded via a namespace (and not attached): [1] tcltk_2.15.0 tools_2.15.0 [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Sugeestion about tuning of SVM
Dear list I've a generic question about how to tune an SVM I'm trying to classify with caret package some population data from a case-control study . In each column of my matrix there are the SNP genotypes , in each row there are the individuals. I correctly splitted my total dataset in training(132 individuals) and test (50 individuals) (respecting the total observed genotypic frequencies and the % of cases and controls) After training (with radial RBF function) I have an accuracy of the best model of 76% but applying the model to my test dataset the accuracy decreases to 52%. Obviously i expected the decrease but this appear to be quite big in my opinion. I manually checked the predictions for my test dataset and some cases that have no risk allele are not well classified. Similar cases in my training dataset are well recognized. Please could you suggest to me which parameters modify in order to improve the classification for the test dataset? or better which could be the causes that could originate this big discrepancy? I know that my question is very generic but i'm very newbie to this kind of analysis so please any suggestion is the welcome thank you very much Guido -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Question about sampling
Dear list I wish to extract from a population genotypized for 10 SNP a subsample of the same population of size n with similar allele frequencies. Essentially i have a matrix of 200 rows (df) like this Name,Condition,rs1385699_X,rs6625163_X,rs962458_X,Rs4658627_1, sample01,Case,1,1,1,-1 sample02,Control,1,1,1,1 sample06,Control,1,-1,1,0 sample10,Case,1,1,1,0 sample11,Control,1,1,1,1 sample24,Control,-1,-1,1,0 sample29,Control,1,-1,1,0 sample42,Case,-1,-1,1,0 sample64,Case,-1,1,1,0 I'm interested to mantain in my subsample the same frequencies of those observed for the 1 value in each column I approached the problem with sample() function mysample-df[sample(1:nrow(df),100,replace=F),] Then I tested that the frequencies of each allele in mysample are not statistically different respect to the initial dataset by mean of prop.test This seems to work but do you know if there is a package that can do the same thing allowing for example a more strict control? Thank you very much Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Question about sampling
Sorry I'm not sure that prob is suitable for my purposes(but i'm quite newbie with R). If I correctly understand prob allows to set a weight for each row in the original dataset in order to include the rows on the basis of their weights). ... I'm not sure to correctly understanding ;-) In my case all the rows are equally important. I need simply that my subset has in each column the same frequency of 1 that in the original dataset Thank you again Guido 2012/6/14 R. Michael Weylandt michael.weyla...@gmail.com sample() takes a prob = argument which lets you supply weights, which need not sum to one so, if I understand you, you could just pass TRUEs and FALSEs for those rows you want. If I'm wrong about that last bit, I'm still pretty confident sample(prob = ) is the way to go. Best, Michael On Thu, Jun 14, 2012 at 6:02 AM, Guido Leoni guido.le...@gmail.com wrote: Dear list I wish to extract from a population genotypized for 10 SNP a subsample of the same population of size n with similar allele frequencies. Essentially i have a matrix of 200 rows (df) like this Name,Condition,rs1385699_X,rs6625163_X,rs962458_X,Rs4658627_1, sample01,Case,1,1,1,-1 sample02,Control,1,1,1,1 sample06,Control,1,-1,1,0 sample10,Case,1,1,1,0 sample11,Control,1,1,1,1 sample24,Control,-1,-1,1,0 sample29,Control,1,-1,1,0 sample42,Case,-1,-1,1,0 sample64,Case,-1,1,1,0 I'm interested to mantain in my subsample the same frequencies of those observed for the 1 value in each column I approached the problem with sample() function mysample-df[sample(1:nrow(df),100,replace=F),] Then I tested that the frequencies of each allele in mysample are not statistically different respect to the initial dataset by mean of prop.test This seems to work but do you know if there is a package that can do the same thing allowing for example a more strict control? Thank you very much Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Question about sampling
Just for make the archives more complete and simplifing the life of the following readers. I think to have solved my problem using the caret packages. In this package there is a function named createData Partition that after defining a column of interest in a data.frame allows to split a dataset in subdatasets that try to preserve the original class distribution here is the link to a tutorial http://www.jstatsoft.org/v28/i05/paper thank you again Guido 2012/6/14 R. Michael Weylandt michael.weyla...@gmail.com I think you're right -- prob probably isn't quite what you need (at least, directly): constrained sampling like this is a little trickier -- I'll leave this to someone who knows more than me. Michael On Thu, Jun 14, 2012 at 9:07 AM, Guido Leoni guido.le...@gmail.com wrote: Sorry I'm not sure that prob is suitable for my purposes(but i'm quite newbie with R). If I correctly understand prob allows to set a weight for each row in the original dataset in order to include the rows on the basis of their weights). ... I'm not sure to correctly understanding ;-) In my case all the rows are equally important. I need simply that my subset has in each column the same frequency of 1 that in the original dataset Thank you again Guido 2012/6/14 R. Michael Weylandt michael.weyla...@gmail.com sample() takes a prob = argument which lets you supply weights, which need not sum to one so, if I understand you, you could just pass TRUEs and FALSEs for those rows you want. If I'm wrong about that last bit, I'm still pretty confident sample(prob = ) is the way to go. Best, Michael On Thu, Jun 14, 2012 at 6:02 AM, Guido Leoni guido.le...@gmail.com wrote: Dear list I wish to extract from a population genotypized for 10 SNP a subsample of the same population of size n with similar allele frequencies. Essentially i have a matrix of 200 rows (df) like this Name,Condition,rs1385699_X,rs6625163_X,rs962458_X,Rs4658627_1, sample01,Case,1,1,1,-1 sample02,Control,1,1,1,1 sample06,Control,1,-1,1,0 sample10,Case,1,1,1,0 sample11,Control,1,1,1,1 sample24,Control,-1,-1,1,0 sample29,Control,1,-1,1,0 sample42,Case,-1,-1,1,0 sample64,Case,-1,1,1,0 I'm interested to mantain in my subsample the same frequencies of those observed for the 1 value in each column I approached the problem with sample() function mysample-df[sample(1:nrow(df),100,replace=F),] Then I tested that the frequencies of each allele in mysample are not statistically different respect to the initial dataset by mean of prop.test This seems to work but do you know if there is a package that can do the same thing allowing for example a more strict control? Thank you very much Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Problem with sample function
Dear list Is there a way to extract a random sample without duplicated row from a dataframe ?. a=c(1,2,3,1,1,1,2,1) b=c(1,2,3,1,2,1,2,1) c=c(1,1,1,1,1,1,1,1) d=c(1,2,3,1,1,1,2,1) prov-data.frame(a,b,c,d) prov2-prov[sample(1:nrow(prov),5,replace=T),] prov2 a b c d 3 3 3 1 3 6 1 1 1 1 3.1 3 3 1 3 5 1 2 1 1 8 1 1 1 1 I tryed the above code but as you can see sample function includes also duplicates. thank you for any tip Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Problem with sample function
yes you are right it was my inattention it is friday and my head needs to start the week end sorry;-) 2012/6/8 David Winsemius dwinsem...@comcast.net On Jun 8, 2012, at 12:33 PM, Guido Leoni wrote: Dear list Is there a way to extract a random sample without duplicated row from a dataframe ?. a=c(1,2,3,1,1,1,2,1) b=c(1,2,3,1,2,1,2,1) c=c(1,1,1,1,1,1,1,1) d=c(1,2,3,1,1,1,2,1) prov-data.frame(a,b,c,d) prov2-prov[sample(1:nrow(**prov),5,replace=T),] prov2 a b c d 3 3 3 1 3 6 1 1 1 1 3.1 3 3 1 3 5 1 2 1 1 8 1 1 1 1 I tryed the above code but as you can see sample function includes also duplicates. thank you for any tip Why would you use replace=T if you didn't want duplicates??? -- David Winsemius, MD West Hartford, CT -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Problem with tune function in e1071 package
Dear list I'm classifying some data with e1071package but when I try to tune my parameters I retrieve this error Error in do.call(method, c(list(train.x[train.ind[[sample]], ], y = train.y[train.ind[[sample]]]), : 'what' must be a character string or a function below are my command training-read.csv(file=tabtraining,header=T,row.names=c(1),sep=\t,na.strings=NA) datatraining=subset(training,select=-Response) classtraining-Stato classtraining-subset(training,select=Reponse) test-read.csv(file=tabtest,header=T,row.names=c(1),sep=\t,na.strings=NA) datatest=subset(test,select=-Stato) classtest-subset(test,select=Stato) model-svm(datatraining,classtraining,type=C-classification) tune(model,train.x=datatraining,train.y=classtraining,validation.x=datatest,validation.y=classtest, ranges = list(gamma = 2^(-1:1), cost = 2^(2:4)), control = tune.control(sampling = fix)) any tips are welcome ;-) Thank you very much Guido [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Help with plot of PCA analysis (new user to R)
Hi If you wish to obtain a 3d plot i think you can use tha bpca library. To test if it works try a code similar to this (after installing bpca package): bp-bpca(pca,lambda.end=3) plot(bp,var.factor=3,rgl.use=T,obj.name=F) Regards Guido 2012/3/8 darkpollo darkpo...@gmail.com I was thinking to create the plot manually? What do you think? Thanks On Mar 7, 5:37 pm, darkpollo darkpo...@gmail.com wrote: Hi, I am new to R and i am not sure if i am doing something wrong. I have a table with 4500x24 (rowsxcols) elements. The rows are data related to each one of the individuals (A,B,C...) located on the columns. Example: A B C D E F 1 5.651296 5.480589 4.253070 3.515593 6.045253 5.916222 4.181060 2 9.402882 10.007563 9.838700 9.541653 9.968853 10.058527 9.988849 3 9.619392 10.358489 9.253168 10.295971 9.478020 9.574001 9.700798 4 12.727904 12.624954 12.945821 12.948913 12.703855 12.817992 12.909623 5 9.713688 10.057340 9.380006 9.722916 9.590145 9.237900 9.224427 6 11.329047 11.403621 12.555482 11.830408 11.479372 13.035209 14.550555 What i want to do is to make a PCA and plot the 3 principal components into a 3D graphic for each one of the individuals. This is what i am doing: data - read.table(data.txt, header=TRUE) pca - prcomp(data) summary(pca) this gives me 24 columns wiht PC1 to PC24 Now i want to plot only the PC1, PC2 and PC3 rp.plot3d(pca[,1],pca[,2],pca[,3]) this give an error incorrect number of dimensions If i make this instead: pca.sam - pca$x rp.plot3d(pca.sam[,1],pca.sam[,2],pca.sam[,3]) It works, but it shows 4500 points and i only want the 24 points related to my columns. Any idea how to do this? Thanks Thanks __ r-h...@r-project.org mailing listhttps:// stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guidehttp:// www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Question about hierarchical clustering
Dear List i'm performing hierarchical clustering analysis with ward method.
My best clusters are choosen according to silhouette score...
Now I'd like to select the most representative term in each cluster.
Do you think that searching for medoids could be a good idea?
Here is the code that I use applied to the Usaarrest dataset
mydist = dist(USArrests,method=euclidean)
clusters = cutree(hclust(mydist,method=ward), k=5) # get 5 clusters
mydist = as.matrix(mydist) # get a full matrix
# function to find medoid in cluster i
clust.medoid = function(i, distmat, clusters) {
ind = (clusters == i)
names(which.min(rowSums( distmat[ind, ind] )))
# c(min(rowMeans( distmat[ind, ind] )))
}
#
sapply(unique(clusters), clust.medoid, mydist, clusters)
Best
Guido
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and provide commented, minimal, self-contained, reproducible code.
[R] Question about multiple histogram
Dear list I have a matrix such as the following: 1 0,5 1 0.7 1 0.5 2 1 3 0 4 0.2 I'd like to plot the histogram of the first column (this is very easy) and then for each bin of the obtained histogram to plot another histogram on the z-axis of the frequencies of the second column for the values belonging to the specific bin. In other words i have a matrix with 2 column and i'd like to find a way to represent on a 3 axes plot the frequencies of teh first column and for each obtained bar the frequencies of the second column Someone could suggest to me which package or kind of representation could be the best to achieve my goal? thank you very much Guido -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 4498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Question about list function
Dear List I'm a newbie R user. I'm utilizing the list function in order to make a var like this: clusters-list(a=var1,b=var2) My problem is that the total numer of variables that I need to include in my list is up to 200. I've the text string with the complete list of my variables but is too long to cut and paste in my bash shell. So is there a way too import the list from a text file? Thank you very much for any kind of help Guido -- Guido Leoni National Research Institute on Food and Nutrition (I.N.R.A.N.) via Ardeatina 546 00178 Rome Italy tel + 39 06 51 49 41 (operator) + 39 06 51 49 498 (direct) [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
