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When legend() is used with the angle argument as follows, not only the boxes beside the legend text, but also the whole legend box is filled with shading lines. I think this is not intended: plot(1:10) legend(8, 4, c("A", "B"), angle=c(10, 80), fill=NULL, density=20) I'd suggest as a fix (legend.R of R-1.5.0): 25c25 < rect2 <- function(left, top, dx, dy,

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

Full_Name: Mai Zhou Version: 1.9.1 OS: Win XP Professional Submission from: (NULL) (12.222.227.93) > power.t.test(n=25, delta=0.1, sig.level=1.1, strict=TRUE, type="one.sample") One-sample t test power calculation n = 25 delta = 0.1 sd = 1 sig.level = 1.1 power = 1.088311 alternative = two.sided ### power can never be

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

Full_Name: Tomas Larsson Version: 2.6.0 OS: Windows XP Submission from: (NULL) (198.208.251.24) This is not a bug, it is a performance issue but I think it should have an easy fix. I have a large matrix (about 2,000,000 by 20), when I type colnames(x) it takes a long time to get the result. However, if I select just the first couple of rows of the matrix I don't have to wait for the

Full_Name: Guan-Hua Huang Version: 2.0.1 OS: Linux Submission from: (NULL) (140.113.114.123) I install the package cluster by using install.packages("cluster"). After install it, it runs fine for function clara, but it does not work for function fanny. I did the following things: library(cluster) set.seed(21) x <- rbind(cbind(rnorm(10, 0, 0.5), rnorm(10, 0, 0.5)),

Hi there, Is there an implementation of the Gaveh Stehfest algorithm in R somewhere ? Or some other inversion ? Thanks, Tolga

Full_Name: Christian Marquardt Version: 2.1.0 OS: Linux (Redhat 9) Submission from: (NULL) (151.170.240.10) Following the advice of a reader of R-help, I would now like to submit this as a bug report: Say we have x = seq(1,3, by = 0.01) y = exp(x) Plotting and reversing linear axis is fine plot(x,y) plot(x,y, ylim = c(30,1)) as is a usual log-plot: plot(x,y, log =