search for: bpplot

Hi everybody, I am a newbie in R. I would like to use the panel.bpplot function on my data set but I have some problems. Can this function work on matrix? My data set have some NaN and when I run panel.bpplot function it returns error due to the presence of NaN. How Can I solve this? Thank you so much for your help netrunner -- View this message in context: http://...

Dear List, I have a two-part question related to bpplot(), a box-percentile plot function in the Hmisc package. Take the example given in the Help for bpplot(), for instance. (1) How does one set but not draw the y-axis? What I did was, bpplot(... , yaxt="n"), but that apparently does not work (though it works for boxplot()). (2) How does...

...t;-c(rnorm(100,50,2),rnorm(100,60,5),rnorm(100,55,7)) B<-rep(c(1,2,3),each=100) trellis.par.set(list(box.rectangle=list(col="black"))) trellis.par.set(list(box.umbrella=list(col="black"))) trellis.par.set(list(box.dot=list(pch=3,col="red"))) bwplot(B~A,panel=panel.bpplot, probs=seq(.01,.49,by=.01)) I’d really appreciate it if someone could tell me how to change the fill colour as well as it is driving me mad. Chears. -- View this message in context: http://www.nabble.com/Lattice-box-percentile-plot-tp17274559p17274559.html Sent from the R help mailing list arch...

bonjour, je voudrais savoir s'il serait possible de sugg?rer aux d?veloppeurs de R de proposer une option suppl?mentaire pour les moustaches, ? savoir les placer sur d1 et d9 comme c'est pr?conis? dans les programmes du secondaire en France, option du style boxplot (serie,range=91) par exemple... i would like to know if it is possible to have (with the agrement of developpers)

...quot;)")', v, nam[1], n[1], nam[2], n[2]) cat(w, '\n') vn[var == v] <- parse(text=w) n <- sprintf('%s (n%s=%g, n%s=%g)', v, nam[1],n[1], nam[2],n[2]) vn[var == v] <- n } trt <- factor(trt) xyplot(as.integer(trt) ~ x | vn, panel=panel.bpplot, ylim=c(0,3), scale=list(y=list(at=1:2, labels=levels(trt)), x=list(relation='free', limits=list(c(0,1),c(0,13)))), ylab='Treatment', layout=c(1,2)) Error in unique.default(x) : unimplemented type 'expression' in 'HashTableSetup' -----...

Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -

The standard R boxplot appears to use quartiles to determine the height of the rectangles and a range parameter - RNG - (default=1.5 I think) that determines the length of the whiskers as <= RNG x Interquartile Range. Is it possible to instead define the range as extending to the 95th percentile? If so, how would this be done? nb, I'm plotting multiple boxplots on a single chart so a

RenE J.V. Bertin wrote: > Hello, and (somewhat belated) best wishes for 2005. > > Can one order not to draw outliers in bwplot, or at least exclude them from the vertical axis scaling? If so, how (or what doc do I need to consult)? > The options that have this effect in boxplot() do not appear to have any effect with bwplot (although outline=FALSE in boxplot does *not* change the

Hi, I'm new to the whole R-thing as a replacement for Matlab, not disappointed sofar ;) I found out how to make nice looking boxplots, but i also would like the make a boxplot with 5% and 95% instead of the standard 25 and 75% quantiles. My csv input looks something like: LOCATION FILTER NR DATE VALUE MONTH Peelhorst01 1 14-Jan-94 23.07 1 Peelhorst01 1 28-Jan-94 23.68 1 Peelhorst01 1

...-start------------->8--- require(Hmisc) age <- sample(1:100, 1000, replace = TRUE) sex <- gl(2, 8, 1000, c("Male", "Female")) grp <- gl(4, 6, 1000, letters[1:4]) bwplot(grp ~ age | sex, aspect = 0.5, box.ratio = 2, panel = function(x, y, ...) { panel.bpplot(x, y, nout = 0.01, probs = seq(0.05, 0.45, 0.05)) nage <- tapply(age, grp, length) panel.text(rep(0, length(x)), seq(along = x), labels = nage) }) --8<---------------cut here---------------end--------------->8--- I have two problems here: 1. place the sample size...

...lots which >> you may find more useful than the standard box plots: >> - figure 3.27 from >> http://www.stat.auckland.ac.nz/~paul/RGraphics/chapter3.html >> - violin plots (see package vioplot) - density plots - histograms >> - box-percentile plots (bpplot from Hmisc) >> - quantile plots >> - if comparing 2 distributions, qq plots, quantile-difference plots, >> mean-difference plots etc. Romain> Hi, Romain> HDR (highest density regions) boxplots are interresting. Romain> See http://addictedtor.free...

Dear List, I'd like to make boxplots of a large number of observations (+/- 20.000), which are distributed log-normal and right skewed. The problem is that with standard boxplots a too large number of observations are displayed as outliers. I also tried to display the log of the observations, but even then there are to may outliers to my taste. So I'd like to change the standard IQR box

I am a new and unexperienced user of R and got so far as to know how to produce boxplots. I have no experience of messing with function code, so presently I do not know how to create a boxplot with group means instead of group medians. If somebody could help me either replace the median with the mean or superimpose the mean onto the existing boxplot, it would be appreciated.

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I have read and reread the boxplot and the boxplot stats page, and I still cannot understand how and what boxplot shows. I realize that this might be due to me not knowing enough statistics, but anyway... First, how does boxplot determine the size of the box? And is the line inside the box the mean or the median (or something completely different?) And how does it determine how long out the

Hi all, I'm just getting started with R and I would appreciate some help. I'm having trouble creating a boxplot with whiskers at the 95th and 5th percentiles instead of at 1.5 * IQR. I have read the relevant documentation, and checked existing mails on this topic. I found a small modification that should work : https://stat.ethz.ch/pipermail/r-help/2001-November/016817.html and tried to