similar to: hairy indexing problem

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 generating some graphs (on GNU/Linux using R 1.5.x) for a PowerPoint presentation my boss is giving next week. He just tried cut/pasted a plot off of a PDF file I had created, but he complained that the fonts were too small and fuzzy, and that he couldn't change the background. I have been playing with png(bg=transparent), but I am not sure what appropriate height,width parameters and

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

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 have problems transforming a matrix into a data.frame: If I do: > is.matrix(parcelas.cobtot.conti) [1] TRUE > dim(parcelas.cobtot.conti) [1] 25 64 > a <- data.frame(parcelas.cobtot.conti) > is.data.frame(a) [1] TRUE > > dim(a) [1] 1600 3 Why a does not have the same dimensions than parcelas.cobtot.conti? I've tested with caith and the behaviour there

On 5 May 2016 at 13:23, C Bergström <cbergstrom at pathscale.com> wrote: > Is the list PG, PG-13, R or at what level do "we" adults all consider > "ok". Even on broadcast tv (in the US) you'll hear some profanity. > (context) > https://www.fcc.gov/consumers/guides/obscene-indecent-and-profane-broadcasts Excellent context! > Some people have pointed

When I do lmer models I only get Estimate, Standard Error and t value in the output for the fixed effects. Is there a way I get degrees of freedom and p values as well? I'm a very new to R, so sorry if this a stupid question. Thank you - Mike Mike Ford Centre for Speech and Language Department of Experimental Psychology Downing Street Cambridge CB2 3EB Tel: +44 (0) 1223 766559 Fax: +44

I am creating an application that allows a user to post messages to a board. I want to be able to filter profanity. For instance if someone types an inappropriate word of 5 characters I want it to read "#?@#@" or whatever. Ideally, I would be able to install a rails plugin or ruby gem and then simply write Code : - fold - unfold --> message_text.hide_profanity! <-- and that

Hi Justin, my class is a visitor pattern and I use accept method to go recursive in suboject in my AST. In locals I store AllocaInst pointer. void *visit(var1_init_decl_c *symbol) { llvm::Type *lType; varNames.clear(); varType = ""; symbol->var1_list->accept(*this); /* get a vector contains variable names */ symbol->spec_init->accept(*this); /* Store in

On Fri, Jan 11, 2013 at 8:20 AM, Manuele Conti <manuele.conti at sirius-es.it>wrote: > Hi Justin, > my class is a visitor pattern and I use accept method to go recursive in > suboject in my AST. > In locals I store AllocaInst pointer. > > > void *visit(var1_init_decl_c *symbol) { > llvm::Type *lType; > > varNames.clear(); > varType = "";

On 5 May 2016 at 12:42, Renato Golin <renato.golin at linaro.org> wrote: > I'm against the ownership of firearms, and go at great lengths and > poorly choosing words in a discussion, which some could consider rude, > with person X about it. I know person X for decades and have earned > the right to offend him/her personally as they know I don't mean it > (could be a

Sorry I forgot to add code that I use to run code: /* Executes the AST by running the main function */ GenericValue CodeGenContext::runCode() { std::cout << "Running code...\n"; ExecutionEngine *ee = EngineBuilder(module).create(); vector<GenericValue> noargs; GenericValue v = ee->runFunction(mainFunction, noargs); std::cout << "Code was run.\n"; return v;

Hi All, I'm writing a code generation with my compiler. I read sever example and documentation but I did understand what I make wrong. What I try to do is a compare a local variable with a constant. But when I create a ICMP instruction I get that instruction are not of same type. I'm using llvm by svn repository updated at two week ago. The code that I try to generation is something

Does anyone have experience importing image files into R? I would like to be able to import such files, use R to analyze and compare and perhaps export again a modified file which can be displayed by the usual image display programs. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20010303/ad72932b/attachment.html