similar to: good procedure for creating plots for PowerPoint

I've got a data frame that looks like this: subject foo bar 2 1.7 3.2 2 2.3 4.1 3 7.6 2.3 3 7.1 3.3 3 7.3 2.3 3 7.4 1.3 5 6.2 6.1 5 3.4 6.9 ... That is, I've got multiple rows per subject. I need to compute summaries within categories where the subject has the same number

I am writing some R code that generates some figures. I am primarily developing on GNU/Linux, but will ultimately run the code on Windows in order to get WMF files I can integrate in an existing document. The win.metafile() function, of course, doesn't exist in the GNU/Linux version of R. I am contemplating writing an abstraction layer that runs the right thing, but I need to know how the

I am getting ready to load a bunch of data into R. The data is all numeric, but some of the numbers are integer codes representing non-numeric semantics. What is the best way to "fix" the data frames so that these compenents are recognized as "factors" or "ordered", as appropriate? Can I "assign" to some attribute of the data frame component, like the

Here is the summary on predict when using an arima0 object: The arima0 object must be based on a time series vector. That is; x <- ts(xm1, frequency=12, start=c(1975,1)) x.ar <- arima0(x,order=c(1,1,1)) predict(x.ar,n.ahead=3) Thanks so much to Prof. Brian Ripley and David Brahm and other! Sincerely, Erin Hodgess

I'd like to generate some plots like you'd see on the old "normal probability graph paper", like the first plot in: <http://www.itl.nist.gov/div898/handbook/eda/section3/normprpl.htm> except the horizontal scale would have 1%, 5%, 25%, 50%, 75%, 95%, 99%, or similar quantiles, with associated tick/grid lines. [still hunting around for a good example...] something like

I"ve got a data frame with a selection of columns I want to compute a rank-order correlation matrix from without disturbing the original data frame. foo[,c("a","b","d","f","g")] What I wanted to do, intuitively, was: > cor(rank(foo[,c("a","b","d","f","g")])) but rank in that context

I've got a set of data that are weighted by a largish integer (ranging from about 50K to 1.5 million). I'd like to plot CDF's for this data taking into account the weighting. What do you recommend? Thanks! -- Russell Senior ``The two chiefs turned to each other. seniorr at aracnet.com Bellison uncorked a flood of horrible

Hi, Is it possible to dump a series of plots directly into a powerpoint presentation (as is possible in Splus)? Thank you, Thomas [[alternative HTML version deleted]]

Hello. I have been browsing the R- manual and not seen any direct implementation of Factor analysis. Is there anyone out there who has run Factor Analysis with R? Thanks Michael -- Michael Preminger Forsker / Research Scientist Avdeling for journalistikk, bibliotek- og informasjonsfag / Faculty of Journalism, Library and Information Science H?gskolen i Oslo / Oslo College

I want to write a function to take an argument as the response variable of a linear model, e.g. to do anova's across a list of variables, something like the following (except, of course, this doesn't work): function(x) { anova(lm(x ~ my.factor,data=my.data)) } The x in lm() above is getting evaluated at the wrong level. How can I make this work? -- Russell Senior ``The two

I am writing a little abstraction for a series of tests. For example, I am running an anova and kruskal.test on a one-factor model. That isn't a particular problem, I have an interface like: my.function <- function(model,data) { print(deparse(substitute(data))) a <- anova(lm(formula,data)) print(a) if(a$"Pr(>F)"[1] < 0.05) { pairwise.t.test(???) }

hi, all. I use R on a unix (linux) box and am quite happy with it. However, sometimes I need to create a graph that needs to be used with Microsoft Word or Powerpoint (ug). I can create a png or jpeg format picture, but the text look pretty crummy because jpeg is bitmapped. I can also create a PS/EPS version (my preference), but then it doesn't display properly in word or powerpoint (but it

Hello CentOS people, I'm wondering if there are command tools like antiword and docx2txt for Microsoft PowerPoint files (.ppt and .pptx). The idea is to extract text from PowerPoint files. Sorry this isn't exactly about CentOS, but I'd really like it if Yum has something. I tried xlhtml, but it hasn't been updated in a while and isn't exactly wanting to work on CentOS

Please allow me an unusual question. Is there any way that R can be closely integrated with a Microsoft Powerpoint presentation? I would like to embed R calculations in Powerpoint so that I will start Powerpoint, be prompted to enter some parameters, and an R function will run and return values and graphs. Thanks, John R 2.1.1 windows 2k John Sorkin M.D., Ph.D. Chief, Biostatistics and

I've tried several methods in OS X, and here's what works best for me. Save the R graphic as a PDF file. Open it with Apple's "Preview" application, and save it as a PNG file. The resulting .png file can be inserted into MS Word or PowerPoint, can be resized, and looks good on either OS X or Windows. There are other programs available for translating the pdf file to png

Hi Everyone Samba 3.6.7 on OpenSuse 12.2 x86_64 I have an unusual problem for which I have not been able to find a solution on the Internet. With Powerpoint 2003, there was no issue. With Powerpoint 2007, the user cannot advance slides unless the file is saved locally on the client (Windows XP SP3, ntfs filesystem). When the file is loaded from the samba share, the user can edit and save

Hello, I'm using MS Office 2007 Pro on Ubuntu 10.04 x64 through wine-1.3.17. After a while my laptop will just freeze (like someone took a screenshot) when I have multiple PowerPoint windows open. This problem seems to be only associated with PowerPoint and not the other Office Apps. Also, whenever I minimize the PowerPoint windows they will group together on my taskbar but little gray

Hi, I have a nicely printed table of results generated by R's > print(myresult) where myresult is a "data frame". I am trying to put this table into a powerpoint slide for presentation without re-typing and re-formating, i.e., present it as it is in the R window. This saves time when there are a lot of tables to be presented. I tried > sink("myresult.txt") >

Hello, (apologies, I'm not entirely sure whether this question is about R or my limitations with PowerPoint). I've submitted a paper (which has been accepted) but the journal now require me to submit graphs that are "editable in PowerPoint". I would be grateful for suggestions as to how I should do this. The best route seems to be to copy-and-paste the figures from the

PowerPoint Viewer 1997 work nicely, but the installation for PowerPoint Viewer 2003 seems incomplete. It emits a number of fixme:msi warnings. It would be a nice wishlist item. Cheers, Shaun $ wine --version Wine 20041201 $ md5sum ppviewer.exe 1facc59a11680d1f828ed5118a0270b1 ppviewer.exe $ wine ppviewer.exe fixme:msi:MsiInstallProductW L"ppviewer.msi" L""