similar to: Hall-Wellner-Bands

Dear List, can anyone explain me this result (Windows XP, R 2.0.1): > (0.2-0.1)==0.1 [1] TRUE > (0.3-0.2)==0.1 [1] FALSE Regards, Ralf Strobl

Dear r-helpers, I have been bitten by a cryptic comment in the help page for xYplot(). Here is some code from Madeline Bauer, one of the authors, which is essentailly the code on the help page for xYplot(): # This example uses the summarize function in Hmisc to # compute the median and outer quartiles. The outer quartiles are # displayed using "filled bands" set.seed(111) dfr

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"

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

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

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

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

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

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

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

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

Today I''ve noticed a bit strange (?) behaviour when prio qdisc is used. Example (having no filters/qdisc/etc. at the start) : Add simple 9 bands qdisc, set each mapping to lowest priority band: tc qdisc add dev $eth root handle 1: prio bands 9 priomap 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 If I do just that, all is fine - whole traffic ends in 9th band, what can easily be verified by tc -s

Dear R experts, beginners and everyone else, I'm calculating "cumulative periodogram" using the command "cpgram" [1] from the MASS library. Here is a short example with the "lh" (hormone level) dataset: library(MASS) plot(lh,type="l",ylab="value",xlab="time", main="Hormone Levels (lh)") spectrum(lh,

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

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.

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

Hi, I am using ns() to model the effect of time on some outcome y [ specifically, I am using polr() in a model of the form mod1=polr(y~x1+x2*ns(Year,df=3),...) , with x1 and x2 denoting several covariates each ] I understand how to use the spline basis as recorded in the model matrix in order to reproduce the model fit and to generate curves of the point estimates of the time effect,

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

Hello All, My question is regarding the attached plot. I would like to have multiple transparent green bands running the length (yaxis) of the plot the width of which is determined by the green lines at y=0 in the plot. Can you suggest a way to do it? For those who can't or are unwilling to download the file the plot is at http://www.twitpic.com/ma8w0 Thanks!