search for: banding

R- Help Forum Working with the "likert" package and I can't figure out why my "bar" graphs are backwards (see attached). The percentages are place correctly but the bars are backwards. #Sample code # libraries library(likert) # create data band <- c("Band 3","Band 3","Band 3","Band 3","Band 3","Band

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 everyone, I'm happy to announce that I've implemented a Block I/O bandwidth controller. The controller is designed to be of use in a cgroup or virtual machine environment. The current approach is that the controller is implemented as a device-mapper driver. What's dm-band all about? ======================== Dm-band is an I/O bandwidth controller implemented as a device-mapper

Hi everyone, I'm happy to announce that I've implemented a Block I/O bandwidth controller. The controller is designed to be of use in a cgroup or virtual machine environment. The current approach is that the controller is implemented as a device-mapper driver. What's dm-band all about? ======================== Dm-band is an I/O bandwidth controller implemented as a device-mapper

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

I would like to create a subtotal table with custom bands. seq1 = seq(0, 100, by = 5) seq2 = seq(100, 1000, by = 100) Bands = c(seq1, seq2) #Prices Prices = sample(1:1000, 200, replace=F) #corresponding size for the given price above. size = sample(1:1000, 200, replace=F) How would I find the subtotal of the size based on a given price falls within a band? -- View this message in

Dear Sir or Madam, I have a question like this. I want to extract the following data from the square bracket: 1 band band [0.86] 2 band band [0.93] 3 noband noband [0.95] 4 noband noband [0.91] 5 noband noband [0.89] 6 noband noband [0.84] 7 noband

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, 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

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 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

--- libcelt/bands.c | 43 ++++++++++++++++++++++++------------------- libcelt/bands.h | 6 ++---- libcelt/celt.c | 6 ++---- 3 files changed, 28 insertions(+), 27 deletions(-) diff --git a/libcelt/bands.c b/libcelt/bands.c index d0c3498..315cce8 100644 --- a/libcelt/bands.c +++ b/libcelt/bands.c @@ -247,23 +247,6 @@ void compute_pitch_gain(const CELTMode *m, const celt_norm_t *X, const

I am racking my brain over this, probably because I only know very simple mysql functions. Basically I''ve got a few tables, ex: Albums (id,name,band_id); Bands (id,name,label_id), and Label (id,name) I want to search through both album.name, band.name, and label.name throwing all results into a variable, with no redundant info. I think what I need to be doing is setting up some

I can't figure out why this function wont work. #Custom Function used fallInBand <- function(x){ #Assume the bands fall go up form 0 to 100 in intervals of 5 then from 100 to 1000 in intervals of 100. #returns the location (band number) if (is.na(x) == FALSE) { if(x < 100) {#bands of 5 if((x %% 5) >=0){#falls within the band Result = as.integer(x/5)+1

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, In fitting GAMs to assess environmental preferences, I use the part of the fit where the lower confidence interval is above zero as my criterion for positive association between the environmental variable and species abundance. However I like to plot this on the original scale of species abundance. To do so I extract the fit and SE using predict.gam. Lately I compared more

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

hi R gurus I saw some graphs with vertical band like this one: http://pragcap.com/wp-content/uploads/2010/04/GS.png how to draw the blue band in R, can't find any clue to do this,any ideas? thanks in advance [[alternative HTML version deleted]]

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

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est