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Problem: neither fg or bg nor color work properly in dotchart. version: R-1.7.1 for windows code which shows the errors: x <- matrix(rnorm(16),ncol=2,dimnames=list(paste("a",1:8,sep=""),c("before","afte r"))) dotchart(x,fg="blue",bg="lightgrey") dotchart(x,color=c("red","blue")) Dr Ian J Wilson Lecturer in

I am trying to fit a generalised least squares model using gls in the nlme package. The model seems to fit very well when I plot the fitted values against the original values, and the model parameters have quite narrow confidence intervals (all are significant at p<5%). The problem is that the log likelihood is always given as -Inf. This doesn't seem to make sense because the model

Hello, I am currently trying to show the abundance of two species of zooplankton within the North Sea as pie chart bubble plots. I followed Werner Wernersen's advice in R help (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48644.html) and used Paul Murrell's paper "Integrating Grid Graphics Output with Base Graphics Output" (in R News) to try and do this (using the gridBase

Dear R-devel, Apologies for sending what is probably a very simple question to R-devel: I am definitely missing something very simple and can't work out what it is. I've been trying to find the problem here for about a month and need some help! I am trying to work out how to run a C program from an R script. Rather than try the C program directly, I'm trying to get a much simpler

Dear All, This is probably a very basic question but: I have plotted a map of the Barents Sea and surrounding coastline using: map('worldHires',ylim=c(50,85),xlim=c(5,65),fill=T,resolution=0) map.axes() map.scale(x=30,metric=T) Next, I imported a shapefile with depth contours for the sea: contours<-read.shape("D://My Documents/BarentsSea.shp",dbf.data=T) (This is in

Dear Geskus, I want to develop a prediction model. I followed your paper and analysed thro' weighted coxph approach. I can develop nomogram based on the final model also. But I do not know how to do internal validation of the model and subsequently obtain calibration plot. Is it possible to use Wolbers et al Epid 2009 approach 9 (R code for internal validation and calibration) . It is

Hello, I have written code to plot an xyplot as follows: library(lattice) xyplot(len~ageJan1|as.factor(cohort),groups=sex,as.table=T,strip=strip.c ustom(bg='white',fg='white'),data=dat, xlab="Age (January 1st)",ylab="Length (cm)",main="Linear models for male and female cod, by cohort",type='p',

Dear R-users, I have imported a shapefile with depth contours for a sea: depths<-read.shape("D://My Documents/BarentsSea.shp",dbf.data=T) (This is in mercator projection) **Is there a way to convert this shapefile into a format that it may be plotted on a contour plot?** I wish to add these contours onto a map (already coded using 'maps' package) to map the sea contours

On Thu, Mar 22, 2018 at 4:52 AM, Raja, Dr. Edwin Amalraj <amalraj.raja at abdn.ac.uk> wrote: > Hi , > > library(foreign) > write.dta(data1, "data1.dta") > > should work. I don't think so: > library(foreign) > example(svydesign) > write.dta(dstrat, "~/Downloads/foo.dta") Error in write.dta(dstrat, "~/Downloads/foo.dta") : The

Dear Thomas, I want to use evaluate effect of Age using restricted cubic form in the FGR function as Fgr.crr <- FGR(Hist(time, event) ~ rcs(Age_years), data=dat) It provides error. " Error in parse(text = termtext, keep.source = FALSE): .... 1: response ~ rcs(Age_years Do I need to change any of the R code? Regards Amalraj Raja The University of Aberdeen is a charity

Dear All, I would like to use R function 'selectFGR' of fine gray model in competing risks model. I used the 'Melanoma' data in 'riskRegression' package. Some of the variables are factor. I get solution for full model but not in variable selection model. Any advice how to use factor variable in 'selectFGR' function. The following R code is produced below

Hi, I am new to R and I want to export data into Stata. Could somebody help with that? Thanks a lot. This is the code I am using: > setwd("D:/datasets/Seg-bcn/ESBD") > data1 <- readRDS("r17045_ESDB_Habitatges_BDD_V_1_0.rds") > library(foreign) > write.dta(data="data1", file = "D:/datasets/data1.dta") Error in write.dta(data =

Hi , library(foreign) write.dta(data1, "data1.dta") should work. The file will be saved in the working directory. Use getwd() to know the working directory. Best wishes Amalraj Raja -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of rosario scandurra Sent: 22 March 2018 07:47 To: r-help at r-project.org Subject: [R] exporting data to stata

Hi everyone, I've been having difficulty writing wrapper functions for some functions where those same functions include other functions with eval() calls where the environment is specified. A very simple example using function lmer from lme4: lmerWrapper <- function(formula, data, family = gaussian, method = c("REML", "ML", "PQL", "Laplace",

A small contribution :) I downloaded and installed 2.0.4b and compiled with NIS+ support since the fixed configuration for it was one of the new features. All worked fine, except that I found I couldn't change passwords. It turned out to be not a configuration error, but that some of the NIS+ routines hadn't been implemented yet. So I did that :) So far my mods seem to be working, but I

Hi I am using Ubuntu 8.04 64 bit, R as below, Matlab 7.6.0. I would like to transfer mat files back and forward between R and Matlab. Whilst I have used Matlab for years its been a long time since I have used R (hence question may be a bit simple) Running code A <- c(1:10) dim(A) <- c(2,5) library(R.matlab) writeMat('A.mat', A=A) Does not appear to generate any mat file

Gang, For months now, we're all seeing repeated bruteforce attempts on SSH. I've configured my pf install to ratelimit TCP connections to port 22 and to automatically add IP-addresses that connect too fast to a table that's filtered: table <lamers> { } block quick from <lamers> to any pass in quick on $ext_if inet proto tcp from any to ($ext_if) port 22 modulate

I am trying to use the value of an ID variable in an if statement and not getting the results I expected. # ID values for two school districts > with(rf, tapply(DistrictID, DistrictName, min) ) Aberdeen School Dist. # 58 Buhl Joint School District 59340 53409 This creates DNAME as I expected ...

Did I understand from something Jeremy said recently that a recommended mode of operation for those wishing to try the full PDC support might be: 1. all file servers running production version (currently 2.0.4b) 2. single PDC machine running HEAD branch in order to get the stability and performance of the production version while still being able to use the latest PDC functionality? In

Dear Raja, A Fine and Gray model can be fitted using the standard coxph function with weights that correct for right censoring and left truncation. Hence I guess any function that allows to perform stepwise regression with coxph should work. See e.g. my article in Biometrics https://doi.org/10.1111/j.1541-0420.2010.01420.x, or the vignette "Multi-state models and competing risks" in the