similar to: Patch to coplot.R

When I list a directory within the linux OS, appears like this: ... -rwxr--r--. 1 root pgt.cxt 7,2K Nov 25 14:33 New Text OpenDocument.odt ... At smb.conf is of this way: [global] workgroup = PGT server string = Descricao security = DOMAIN obey pam restrictions = Yes ... registry shares = Yes idmap uid = 1000-20000 idmap gid = 1000-20000

Dear all, I want to start my post by expressing my sincere gratitude for all the help this group has given me in Sweave/Latex/R. The tools are excellent and so is the community! On to the question. My Sweave code is intended to make lots of plots and create a *.pdf document. Sweave is perfect for this. The only problem is that I find myself using the same R code, within my Sweave input file

Kai, Apologies for the double message, it didn't go to the list last time. On Thu, Oct 22, 2015 at 9:59 AM, Kai Nitschke < kai.nitschke at uniklinik-freiburg.de> wrote: > > ?.Call? calls the C/C++ function ?C_LogLin?. But when I am running it line > by line I get > the following error on line 23/24: > Error: object 'C_LogLin' not found > > Hence, my

Hi everyone, I have a question regarding a C function of the "stats" package in R. I tried to understand the ?loglin? basic function of the ?stats? package implemented in R. The implemented function itself runs without any problem (perhaps see sample). When I ran it line by line it stopped at the lines 23-24 of the loglin-function; (the following line): z <- .Call(C_LogLin,

Hi all, Can I run a cointegrating regression, for example delta Xt=a1(Yt-1-cXt-1)+E1t and delta Yt=-b1(Yt-1-cXt-1)+E2t with R were Xt and Yt are non stationary time series at t a,b,c are parameters and E1t and E2t are error terms at t. Yt-Xt is stationary Any suggestions are welcome. Best regards, /fb -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Dear all, Please take my apologies if that has already been asked - at least I couldn't find it in the archives. When trying to specify a layout within library lattice, i.e. using xyplot, I get an error when the prepanel function tries to subscript the automatically generated x.limits. This seems to appear if the last page wouldn't be filled completely, i.e. there would be space left

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

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 =

(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.

Hello!   I would like to sample 30 % of cases (with at least 1 value lower than 3) and among them I want to set all values lower than 3 (within selected cases) as NA (NMAR- Not missing at random). I managed to sample cases, but I don’t know how to set values (lower than 3) as NA.   R code:   x <-

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

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

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,

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

The null loglinear model is an intercept-only model for log frequency, log(f) = \mu For a one-way table the test of the null model is the same as the chisq.test. This can be fit using loglin(), but I don't think there is any way to specify this using MASS::loglm > t1<- margin.table(Titanic,1) > t1 Class 1st 2nd 3rd Crew 325 285 706 885 > loglin(t1, NULL) 0

Hi I've simulated multivariate longitudinal. The data is a mixture of conitnous and categorical data. I've stored it in matrix form with the time dependent variables as colons. Now I want to create a monote missing data pattern starting of with MCAR-missingnes and different proportions of missingdata and then refine the function to handle MAR and NMAR. Is there anybody that could help or