similar to: Plotting coloured histograms...

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Hi all - I'm trying to generate lattice barchart graphs with missing values, and came across the following: This does not run. I would expect it to: library(lattice) D = data.frame(X=1, Y=factor(letters[2], letters[1:2])) barchart(~ X, D, groups=Y) Error in grid.Call.graphics("L_rect", x$x, x$y, x$width, x$height, resolveHJust(x$just, : invalid line type which is simply

Pulled from my Arch archive, this following patch seems to have made quite a difference in getting my ARM7TDMI chip to play FLAC (compression levels 0-2) on my ipod. I don't have benchmarks with hard numbers, but playing with skips vs playing without skips is a fairly noticeable difference. memcpy and memset on uClibc are optimized in asm for the ARM7TDMI in uClibc. Other hardware/libc

Ok, here is a patch waiting for new CVS :). It works fine for me, but please check it before commiting... -- Miroslav Lichvar -------------- next part -------------- --- src/libFLAC/bitbuffer.c.orig 2003-01-30 17:36:01.000000000 +0100 +++ src/libFLAC/bitbuffer.c 2003-01-30 21:53:18.000000000 +0100 @@ -51,6 +51,25 @@ */ static const unsigned FLAC__BITBUFFER_DEFAULT_CAPACITY = ((65536 - 64) *

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,

--- src/libFLAC/include/private/bitmath.h | 2 +- 1 files changed, 1 insertions(+), 1 deletions(-) diff --git a/src/libFLAC/include/private/bitmath.h b/src/libFLAC/include/private/bitmath.h index 61b0e03..d32b1a7 100644 --- a/src/libFLAC/include/private/bitmath.h +++ b/src/libFLAC/include/private/bitmath.h @@ -42,7 +42,7 @@ #endif /* Will never be emitted for MSVC, GCC, Intel compilers */

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 =

Hi, attached are patches that improve decoding speed a bit. The first patch improves the bit scan macro used for decoding unary values, the second one adds a GCC inline assembly for bswap and the third patch replaces the read_rice_block function. In my testing it turned out to be even faster than the _ia32_bswap function. If the code produced by MSVC is faster as well, I'd suggest to remove

I would like to place the value for each bar in barchart (lattice) at the top of each bar. Something like the following code produces. library(lattice) mypanelfunc <- function(x, y, ...) { panel.barchart(x, y, ...) panel.text(x, y, labels=as.character(round(x,2)), ...) } myprepanelfunc <- function(x, y, ...) list(xlim=c(0, max(x)+.1)) mydata <- expand.grid(a=factor(1:5),

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 <<

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is

Hi, I'm trying to develop an histogram method for a class called "FLQuant" which is used by the package FLCore (http://flr-project.org). FLQuant is an extension to "array". There is an as.data.frame method that coerces flquant into a data.frame suitable for lattice plotting. The problem is that when I coerce the object and plot it after it works but if the method is

There are following functions in bitreader.c: FLAC__bool FLAC__bitreader_read_unary_unsigned(FLAC__BitReader *br, unsigned *val); FLAC__bool FLAC__bitreader_read_rice_signed(FLAC__BitReader *br, int *val, unsigned parameter); FLAC__bool FLAC__bitreader_read_rice_signed_block(FLAC__BitReader *br, int vals[], unsigned nvals, unsigned parameter); * function FLAC__bitreader_read_rice_signed():

Hi all R users I did a logistic regression with my binary variable Y (0/1) and 2 explanatory variables. Now I try to draw my nomogram with predictive value. I visited the help of R but I have problem to understand well the example. When I use glm fonction, I have a problem, thus I use lrm. My code is: modele<-lrm(Y~L+P,data=donnee) fun<- function(x) plogis(x-modele$coef[1]+modele$coef[2])

(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.

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

Dear list, I would like to create histograms for up to three groups, with distincive colour/pattern, in a trellis panel. However, I have not been able to find a way to do this. histogram does not seem to have a group argument. Please help. /Fredrik

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