similar to: Bug in xYplot() with method = 'filled bands'

Dear R users, The Sweave code below runs fine, as it is. However, an error occurs when the line 'library(xtable)' is uncommented: Error: chunk 1 Error in "label<-"(`*tmp*`, value = "month") : no applicable method for "label<-" Is anybody aware of this and knows a workaround? Thanks, Sander. *******************

Dear R Helpers I am trying to get function smedian.hilow to work using Hmisc summarize on variable conc in dataframe pkindivmtd by time and dose using: attach(pkindivmtd) sconc <- summarize(conc,llist(time,dose),smedian.hilow) I get the error message Erreur dans 1:nrow(X) : argument NA / NaN Contents of pkindivmtd is > contents(pkindivmtd) Data frame:pkindivmtd 1296 observations

Dear R-helpers, I would like the bands in an xYplot() to be gray without dark edges. I've tried playing around with col.bands, but that seems not to affect the edges, although changin col.fill does change the fill as I would expect. I would appreciate pointers. _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box

The workshop organizing committee of the Southern California Chapter of the American Statistical Association announces the 28th Annual Workshop in Applied Statistics. Professor Colin Cameron from the department of Economics at UC Davis will give a one-day workshop titled "Advances in Count Data Regression." The event will take place on Saturday, March 28, 2009 at UCLA. Details on

Hi all, i am still using the Hmisc package and I like the filled bands part, is there a way though to have different groups have different color of bands, maybe a lighter version of the color of the line that is used? ------------------------------------------- Joe King, M.A. Ph.D. Student University of Washington - Seattle 206-913-2912 jp@joepking.com

Dr. Frank E. Harrell, Jr., Professor and Chair of the Department of Biostatistics at Vanderbilt University is giving a one-day workshop on Regression Modeling Strategies on Friday, April 29, 2005. Analyses of the example datasets use R/S-Plus and make extensive use of the Hmisc library written by Professor Harrell.The workshop is sponsored by the Southern California Chapter of the American

Hello, I'm currently using a simple plot to visualize some mean values. I'm having ~200 datapoints on the x-axis, each has 10 records. I'm currently plotting only the mean value of each of the datapoints. What I need is a way to visualize the quartiles/error/whatever of these points. I thought about boxplots, but I have to many points on the xaxis - it would be impossible to see

Dear all, I am trying to plot KM curves with confidence bands with function survplot under package rms. However, the following codes do not seem to work. The KM curves are produced, but the confidence bands are not there. Any insights? Thanks in advance. library(rms) ########data generation############ n <- 1000 set.seed(731) age <- 50 + 12*rnorm(n) label(age) <- "Age"

Hello, I read about the pfifo_fast has 3 bands, which allow you to prioritize traffic into these bands. I cannot find anything about these bands in the tc command reference (http://linux.bergqvist.se/tc/). I might be looking the wrong place - in which case, where should I look for help with this qdisc? The idea is to give "time-critical" sessions such as ssh, telnet etc. HIGHEST

To my understanding, a confidence interval typically covers a single valued parameter. In contrast, a confidence band covers an entire line with a band. In regression, it is quite common to construct confidence and prediction bands. I have found that many people are connecting individual confidence/prediction interval values produced with predict(object,sd.fit=T,type="conf/pred") and

Dear list, I'm a bit perplexed why the 95% confidence bands for the predicted probabilities for units where x=0 and x=1 overlap in the following instance. I've simulated binary data to which I've then fitted a simple logistic regression model, with one covariate, and the coefficient on x is statistically significant at the 0.05 level. I've then used two different methods to

Hi, I''m trying to set up 15 different delay intervals for packets leaving on an interface, using netems hanging off of a 16-band prio. I''m having trouble adding anything to bands higher than 10. Here''s what I tried: tc qdisc add dev eth0 root handle 1: prio bands 16 \ priomap 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 I want all default traffic to go to

I'm using nonparametric regression (packeges ksmooth and ks). My question: is there any way to compute confidence bands (or variability bands) with R. Confidence bands for functions are intervals [CLO(x);CUP(x)] such that with probability 1-alpha the true curve is covered by the band [CLO(x);CUP(x)]. Thanks very much for any help you can offer. Michael G??lger

Hello, is it possible that the number of bands for the PRIO qdisc is limited to 16? tc qdisc add dev $DEVICE root handle 1: prio bands 16 priomap 1 2 2 2 1 2 0 0 1 1 1 1 1 1 1 1 succeeds but tc qdisc add dev $DEVICE root handle 1: prio bands 17 priomap 1 2 2 2 1 2 0 0 1 1 1 1 1 1 1 1 returns: ''RTNETLINK answers: Invalid argument'' Is there any possibility to raise the

Hello, I am trying to plot confidence bands on the mean and prediction bands for the following nonlinear regression, using maximum likelihood via optim. A toy example with data and code of what I am trying to accomplish is: VOL<-c(0.01591475, 1.19147935 ,6.34102460, 53.68809287, 91.90143074, 116.21397007, 146.41843056, 215.64535337, 256.53149673, 315.73609232) Age <-c(1.622222, 2.833333

Dear R developers, I was looking for a function analogous to base::diag() for getting and setting bands of a matrix. The closest I could find was Matrix::band(), but this was not exactly what I wanted for two reasons. Firstly, Matrix::band() returns a matrix rather than just the specified band. Secondly, Matrix::band() cannot be used for setting the values for a matrix band. Setting or

I''m trying to build a wan latency test environment, where packets from different "remote" locations get delayed by different amounts of time, depending on which remote location we''re pretending they are from. Currently, I''m doing this using the ''prio'' qdisc to obtain multiple bands, and hanging a different netem qdisc off each of the branches

Is there a built-in function in R that will generate simultaneous confidence and prediction bands for linear regression? Tom -- View this message in context: http://www.nabble.com/Simultaneous-Confidence-Prediction-Bands-tp17941537p17941537.html Sent from the R help mailing list archive at Nabble.com.

Hi, I have following queries: - 1.How to see data exchanged at all the bands of pfifo_fast(command)? "tc -s qdisc ls dev eth0" only shows following output qdisc pfifo_fast 0: bands 3 priomap 1 2 2 2 1 2 0 0 1 1 1 1 1 1 1 1 Sent 71132584 bytes 312294 pkts (dropped 0, overlimits 0 requeues 0) Its only showing data exchanged in band 0. 2.I am using following command to drop

Dear R-list, I would like to show the implications of estimating a linear trend to time series, which contain significant serial correlation. I want to demonstrate this, comparing lm() and an gls() fits, using the LakeHuron data set, available in R. Now in my particular case I would like to draw confidence bands on the plot and show that there are differences. Unfortunately, I do not know how to