similar to: histogram method for S4 class.

Hi, I'm writing methods for a package called FLCore (see http://flr-project.org/) in particular for a class called "FLQuant" which extends array. Previously I was able to write methods based on the class of "data" but now I can not do it due to the single parameter "x". Is there a way to do this ? Regards EJ

Hi, I'm writing some functions to generate Rd files for a S4 package. I want to have 2 character vectors with the names of the S4 classes and the methods exported by a package. To get the info about methods I'm using "getGenerics(where="package:FLCore")" however I can not find a similar process to get the S4 classes. Are there functions to access this information

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C3738F.63DE3390 Content-Type: text/plain; charset="iso-8859-1" #I want to be able to create a new S4 class and read data into it using C code # Here is a very simple S4 object inheriting from "array", but with 5

Dear all, We are experiencing some trouble when compiling R packages using R 2.6.0 and the new Rtools installer under Windows XP. (1) First, compiling any package using the new setup stops with an errorrelated to some "/" issue on the inst folder. This folder only contains a CITATION file ---------- Making package FLCore ------------ adding build stamp to DESCRIPTION installing

Hello, One of our packages contains C++ code that needs to be compiled against 2 other packages. So the LinkingTo field in DESCRIPTION looks like this LinkingTo: FLCore,FLash Both packages are also in the Depends field. In R 2.6.2, first thing we noticed was that both names could not have any space between them, althoguh the example in the html version of "Writing R Extensions" does

Dear all, After installing R 2.4.0, a definition of "[" for an S4 class has stopped working as the default for drop in the generic, TRUE, appears to override the default in the method The method is defined for demonstration purposes as setMethod("[", signature(x="FLQuant"), function(x, i="missing", j="missing", k="missing",

I need to find the area under a trapezoid for a research-related project. I was able to find the area under the trapezoid in MATLAB using the code: function [int] = myquadrature(f,a,b) % user-defined quadrature function % integrate data f from x=a to x=b assuming f is equally spaced over the interval % use type % determine number of data points npts = prod(size(f)); nint = npts -1; %number of

As of LLVM 3.2, is it possible to use iostream with the MCJIT or interpreter execution engines? I'm getting some errors... Each of these commands correctly prints "hello": echo -e '#include <stdio.h>\nint main(){ printf("hello"); }' | clang -cc1 -emit-llvm-bc -x c++ | lli -use-mcjit echo -e '#include <iostream>\nint main(){ std::cout <<

When I try to run the example from Variogram with an lme object, I get an error (although summary works): R : Copyright 2005, The R Foundation for Statistical Computing Version 2.2.1 (2005-12-20 r36812) ISBN 3-900051-07-0 ... > fm1 <- lme(weight ~ Time * Diet, BodyWeight, ~ Time | Rat) Error: couldn't find function "lme" > Variogram(fm1, form = ~ Time | Rat, nint =

Dear all, I am having trouble with install.packages() when specifying a non-CRAN repository. The command below works in R 2.1.0 and R 2.1.1 compiled from source in Linux, bringing up the Tcl/Tk interface for selection, but in 2.2.0 I get > install.packages(repos='http://flr-project.org/R') Error in install.packages(repos = "http://flr-project.org/R") : argument

(I sent this earlier, but it seems not to have come through, due to problems witkh my system) The following command from appendix A, "a sample session", isnt correct: contour(x, y, fa, nint=15) when used R protests: Warning message: parameter "nint" couldn't be set in high-level plot() function it should probably be nlevels, as used a few lines before. This is

been puzzling over this for a day. Summary integer variable to use with histogram, 170,000 rows. Value is day of year. Hist works, lattice histogram with nint does not work (spurious spikes in display), lattice histogram using breaks=c(0:365) works fine. Spike values appear to be sum of two adjacent bins. Want to know if this is a familiar problem, and what the recommended work-around is.

Dear R Users, I've never used R before and my professor has asked us to do some pretty intense programming (or it's intense to me at least). Here is the question: Modify the function myquadrature inside the script so that it returns the quadrature of descrete data using the trapezoidal rule. Modify the call to the function at the bottom of the script so that is uses your modifies

Dear list. I have three histograms and I want to add a vertical abline in a different place in each plot. The next example will plot a vertical line at x=5.5 in the three plots: rnorm(100,5,3) -> A rnorm(100,7,3) -> B rnorm(100,4,1) -> C rep(c("A","B","C"),each=100) -> grp data.frame(G=grp,D=c(A,B,C)) -> data histogram(~ D | G, data=data,

On 10/12/2013 19:47, Jim Grosbach wrote: > > On Dec 10, 2013, at 11:26 AM, Alp Toker <alp at nuanti.com > <mailto:alp at nuanti.com>> wrote: > >> >> On 10/12/2013 18:03, Jim Grosbach wrote: >>>> That causes dissonance between what the compiler sees and what >>>> lit.py sees for no particularly good reason. One of the nice

I have 8 cofactors possibly affecting one and only one variable. I make conditional histograms: <-pdf(file="tst3.pdf",paper="special",width=36,height=36) <-histogram(~Oversized|dat$c1*dat$c2*dat$c5*dat$c6*dat$c7*dat$c8*dat$c9*dat$c10,nint=21,layout=c(32,8),data=dat,type="count") <-dev.off() This works (compliments to R developers!) but it does generate a

Hello, I've been running Quicken 2010 under Wine for a while now. It works well, except that various elements redraw themselves over and over again, making it painfully slow to use. Now for completely unrelated reasons I'm forced to run a Windows XP VM on my Linux machine, so I installed Quicken 2010 on the VM as well. When I copied my QDF file over from ~/.wine to the VM, though,

I have fitted a logistic regression model > failed.lr2$call lrm(formula = failed ~ Age + task2 + Age:task2, data = time.long, na.action = na.omit) using the Design package functions and would like to generate a nomogram from this model. the datadist information is generated and stored in > ddist time.long$Age time.long$task2 Low:effect 45

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If