[R] interactive 3d plot (identifying datapoint when clicked or mouse-overed)
Is there a package that provides interactive 3d scatter plot with the functionality of identifying the datapoint when clicked or mouse-overed? Or, if not, which package is the best alternative (with some modification) to produce the similar effect? If there is a rotation feature, it is +1. __ 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] stem's scale
What is the model behind stem's scale? How the number of bins are determined? In the following example session, scale=1 and scale=2 has the same result. stem(c(11,21,31),scale=2) The decimal point is 1 digit(s) to the right of the | 1 | 1 1 | 2 | 1 2 | 3 | 1 stem(c(11,21,31),scale=1) The decimal point is 1 digit(s) to the right of the | 1 | 1 1 | 2 | 1 2 | 3 | 1 __ 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] a few scatter plots for a specific correlation value
Hello, Is there a simple way to draw a few random sample scatter plots from a given specific correlation coefficient(say, 0.18)? __ 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] warning : increasing the PDF version to 1.3
What does the warning mean? In dev.off() : increasing the PDF version to 1.3 __ 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] metaprogramming with lm
Hello, Say I want to make a multiple regression model with the following expression: lm(y~x1 + x2 + x3 + ... + x_n,data=mydata) It gets boring to type in the whole independent variables, in this case x_i. Is there any simple way to do the metaprogramming for this? (There are different cases where the names of the independent variables might sometimes have apparent patterns or not) __ 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] turning comma separated string from multiple choices into flags
Hello, I use google docs' Forms to conduct surveys online. Multiple choices questions are coded as comma separated values. For example, if the question is like: 1. What magazines do you currently subscribe to? (you can choose multiple choices) 1) Fast Company 2) Havard Business Review 3) Business Week 4) The Economist And if the subject chose 1) and 3), the data is coded as a cell in a spreadsheet as, Fast Company, Business Week I read the data with read.csv into R. To analyze the data, I have to change that string into something like flags(indicator variables?). That is, there should be 4 variables, of which values are either 1 or 0, indicating chosen or not-chosen respectively. Suppose the data is something like, survey1 agefavorite_magazine 1 29 Fast Company 2 31 Fast Company, Business Week 3 32 Havard Business Review, Business Week, The Economist Then I have to chop the string in favorite_magazine column to turn that data into something like, survey1transformed age Fast Company Havard Business Review Business Week The Economist 1 291 0 0 0 2 311 0 1 0 3 320 1 1 1 Actually I have many more multiple choice questions in the survey. What is the easy elegant and natural way in R to do the job? __ 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] turning comma separated string from multiple choices into flags
Thank you. The misspelling of Harvard wasn't intended. The data are spelled consistently. 2008/9/30 Peter Dalgaard [EMAIL PROTECTED]: June Kim wrote: Hello, I use google docs' Forms to conduct surveys online. Multiple choices questions are coded as comma separated values. For example, if the question is like: 1. What magazines do you currently subscribe to? (you can choose multiple choices) 1) Fast Company 2) Havard Business Review 3) Business Week 4) The Economist And if the subject chose 1) and 3), the data is coded as a cell in a spreadsheet as, Fast Company, Business Week I read the data with read.csv into R. To analyze the data, I have to change that string into something like flags(indicator variables?). That is, there should be 4 variables, of which values are either 1 or 0, indicating chosen or not-chosen respectively. Suppose the data is something like, survey1 agefavorite_magazine 1 29 Fast Company 2 31 Fast Company, Business Week 3 32 Havard Business Review, Business Week, The Economist Then I have to chop the string in favorite_magazine column to turn that data into something like, survey1transformed age Fast Company Havard Business Review Business Week The Economist 1 291 0 0 0 2 311 0 1 0 3 320 1 1 1 Actually I have many more multiple choice questions in the survey. What is the easy elegant and natural way in R to do the job? I'd look into something like as.data.frame(lapply(strings, grep, x=favorite_magazine, fixed=TRUE)), where strings - c(Fast Company, Havard Business Review, ...). (I take it that the mechanism is such that you can rely on at least having everything misspelled in the same way? If it is alternatingly Havard and Harvard, then things get a bit trickier.) -- O__ Peter Dalgaard Ă˜ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 __ 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] best material for programmers?
Thanks for the reply, but RCurl looks like an interface to curl, which might be useful but it's not what I'm looking for. I am looking for a text to learn R. 2008/9/28 Ajay ohri [EMAIL PROTECTED]: someone mentioned the RCurl package recently On Sun, Sep 28, 2008 at 9:12 AM, June Kim [EMAIL PROTECTED] wrote: Hello, What is the best material(book, pdfs, ...) for programmers, who have extensive experience in other programming languages, to learn R programming? I think there are many materials on how to use R for specific statistical jobs, but I haven't seen any material particularly designed for R programming. Thanks. __ 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. -- Regards, Ajay Ohri http://tinyurl.com/liajayohri __ 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] best material for programmers?
Hello, What is the best material(book, pdfs, ...) for programmers, who have extensive experience in other programming languages, to learn R programming? I think there are many materials on how to use R for specific statistical jobs, but I haven't seen any material particularly designed for R programming. Thanks. __ 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] brushing with parallel coordinates
Hello, I have a multivariate data with a single Y variable and 9 X variables. I tried drawing a parallel coordinates with the data set without a problem, using lattice library. However, I want to do some brushing on the graph. For example, I want to distinguish the group of data lines of which Y values are bigger than 0.5. It could be through coloring(red line, maybe). Have a look at the brushing facility provided with another tool: http://www.rebeccashapley.com/assignments/is247/images/xmdvbrush_.jpg Can I do the job easily with lattice? Or should I change the tool? __ 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.