similar to: help annotating plot.xmean.ordinaly in rms package

I am cleaning up the rms package to not export functions not to be called directly by users. rms uses generic functions defined in other packages. For example there is a latex method in the Hmisc package, and rms has a latex method for objects of class "anova.rms" so there are anova.rms and latex.anova.rms functions in rms. I use:

I have the following FORTRAN code converted to a DLL: ! my_xmean.f90 ! ! FUNCTIONS/SUBROUTINES exported from my_function.dll: ! my_function - subroutine ! subroutine my_xmean(X,N,XMEAN) ! Expose subroutine my_function to users of this DLL ! !DEC$ ATTRIBUTES DLLEXPORT,C,REFERENCE,ALIAS:'my_xmean_'::my_xmean ! Body of my_function DOUBLE PRECISION X(N) XMEAN=0D0 DO J=1,N

Dear R users, I am trying to fit the following ANCOVA model in R2.4.0 Y_ij=mu+alpha_i+beta*(X_ij-X..)+epsilon_ij Particularly I am interested in obtaining estimates for mu, and the effects alpha_i I have this data (from the book Applied Linear Statistical Models by Neter et al (1996), page 1020) y<-c(38,43,24,39,38,32,36,38,31,45,27,21,33,34,28)

Hi Everybody I use R2.8.0 on Mac OS X. I set up LyX 1.6.1 to use Sweave today. I can compile the test file I found on CRAN ( http://cran.r-project.org/contrib/extra/lyx/) without a problem and the output looks very nice. In the test file the following R code is used. <<myFirstChunkInLyX>>= xObs <- 100; xMean <- 10; xVar <- 9 x <- rnorm(n=xObs, mean=xMean, sd=sqrt(xVar))

Hello I would like to source an R script from within a C# .Net application equivalent to: source("my_r_code.r") I can get this to run but am not sure how to retrieve R objects defined with script my_r_code.r at runtime. For example, if "my_r_code.r" contains #-- contents of my_r_code.r--------------------- x <- 1:10 xmean <- mean(x)

Hello all, I have the code below to simulate samples of certain size from a particular distribution (here,beta distribution) and compute some statistics for the samples. betasim2<-function(nsim,n,alpha,beta) { sim<-matrix(rbeta(nsim*n,alpha,beta),ncol=n) xmean<-apply(sim,1,mean) xvar<-apply(sim,1,var) xmedian<-apply(sim,1,median)

Hi, i have some problems to get means, but the data have got NA's which should not be replaced or delete ! tapply(data,var,mean) # makes me problem,because when one value is NA mean is NA,too. Another attempt is this, because the summary does what i want , but is not subsetable to summary[4] if i use tapply,table and the the function below gives me again all means as NA ? xmean

i am using sarima() function as below ___________________________________________________________________________________________ sarima=function(data,p,d,q,P=0,D=0,Q=0,S=-1,tol=.001){ n=length(data) constant=1:n xmean=matrix(1,n,1) if (d>0 & D>0) fitit=arima(data, order=c(p,d,q), seasonal=list(order=c(P,D,Q), period=S),

Hello Experts! I'm sure many of you run CentOS for some time already. My question is: is there some place that lists which of the most often used sysadmin commands are gone and what are replacements for them. Or what else one needs to do after successful installation. (in the past it was process accounting that was not enabled by default, but which gives you quite some handle in

I just joined the list and appologize if this has been answered before but I am trying to interface between R and the Compaq Visual Fortran compiler version 6.6 for Windows. I found the following instructions on the web -- and an example. When I follow these directions exactly. R 2.0.0 crashes. Has anyone had any experience with this? Below are the instructions that I located: Thanks Dan

Hi All, I am illustrating a simple, two-way ANOVA using the following data and I'm having difficulty in expressing the predicted values succinctly in R. X<- data.frame(read.table(textConnection(" Machine.1 Machine.2 Machine.3 53 61 51 47 55 51 46 52 49 50

In order to ease my students into the R environment I am developing a package which installs a variety of utility functions as well as slightly modified versions of some standard R functions -- e.g. mean, hist, barplot, .... In my versions of these standard R functions I either add options or alter some defaults that seem to create difficulties for most of my students -- for example, when they do

On Tue, 22 Oct 2019 at 14:11, David G. Miller <dave at davenjudy.org> wrote: > > On 10/22/19 10:55 AM, Valeri Galtsev wrote: > > Hello Experts! > > > > I'm sure many of you run CentOS for some time already. > > > > My question is: is there some place that lists which of the most often > > used sysadmin commands are gone and what are replacements

Hi there, Could somebody help me disect this legacy R script I inherited at work, I have two questions: 1. I've tried to upgrade our R version from 1.6.2 (yeah, I know), to R 2.0, but some of the lines in this script are not compatible with R 2.0, could someone help me figure out where the problem is? 2. the jpeg generated (attached) seems to be off on some of the data, is there a better way

Hi folks I wonder if anyone can help me. I want to run some simulations to see how big a sample size might be necessary to distinguish a curved bivariate relationship (e.g. something that might be best described by a quadratic model) from a relationship that is two straight lines with a sudden change in slope (e.g. something best described by a breakpoint regression). I am using

On 10/22/19 10:55 AM, Valeri Galtsev wrote: > Hello Experts! > > I'm sure many of you run CentOS for some time already. > > My question is: is there some place that lists which of the most often > used sysadmin commands are gone and what are replacements for them. Or > what else one needs to do after successful installation. (in the past > it was process accounting

On Tue, 22 Oct 2019 at 12:55, Valeri Galtsev <galtsev at kicp.uchicago.edu> wrote: > > Hello Experts! > > I'm sure many of you run CentOS for some time already. > > My question is: is there some place that lists which of the most often > used sysadmin commands are gone and what are replacements for them. Or > what else one needs to do after successful

The ip commands have been around since Centos 6 if not earlier. you can do things with them that you can't do with ifconfig, such as setup policy routing rule sets.. On Tue, Oct 22, 2019 at 11:27 AM Stephen John Smoogen <smooge at gmail.com> wrote: > On Tue, 22 Oct 2019 at 14:11, David G. Miller <dave at davenjudy.org> wrote: > > > > On 10/22/19 10:55 AM, Valeri

Dear R-users, I am using R 2.13.0 and rms 3.3-0 , but can not reproduce figure 7.8 of the handouts *Regression Modeling Strategies* ( http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf) by the following code. Could any one help me figure out how to solve this? setwd('C:/Rharrell') require(rms) load('data/counties.sav') older <- counties$age6574 + counties$age75

Dear R-help members, I am trying to plot annotate a filled contours plot (with filled.contour) with a grid of points. I have read ways of annotating it with individual points but not with grids in another matrix. Any ideas? Thank you very much. Dario ___________________________________ Dario Martin-Benito CIFOR-INIA Dpto. Sistemas y Recursos