similar to: bug?/lack of feature in bxp (PR#1200)

Full_Name: Steve Ellison Version: 2.4.1 OS: Windows, Linux Submission from: (NULL) (194.73.101.157) bxp() allows specifcation of box locations with at=, but neither adjusts xlim= to fit at nor does it respect xlim provided explicitly. This is because bxp() now includes explicit xlim as c(0.5, n+0.5), without checking for explicitly supplied xlim (or ylim if horizontal). This also prevents

dear all, could somebody tell me how I can plot mild outliers as a circle(?) and extreme outliers as an asterisk(*) in a box-whisker plot? Thanks very much in advance -- View this message in context: http://www.nabble.com/mild-and-extreme-outliers-in-boxplot-tp25040545p25040545.html Sent from the R help mailing list archive at Nabble.com.

Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :

dear R experts: I am playing with boxplots for the first time. most of it is intuitive, although there was less info on the web than I had hoped. alas, for some odd reason, my R boxplots have some fat black dots, not just the hollow outlier plots. Is there a description of when R draws hollow vs. fat dots somewhere? [and what is the parameter to change just the size of these dots?] Also, let

There seems to be a problem with partial matching of argument names in boxplot(), in respect of the "horizontal" argument. I don't recall seeing this issue discussed previously. My apologies if I am being redundant. (A scan of CRAN revealed that someone had experienced problems with the "horizontal" argument, but he was spelling it out in full, so that was a different

Hi all, I have been previously been using scatterplot3d package to create some graphs but unfortunately it does not allow me to rotate the plot on all three axis. The cloud() function in the lattice package does allow me to do so. When I was using scatterplot3d I was using a script (Shown Below) to calculate the mean, quartiles and range limits for all three axis and I was representing that on the

Hi, Is this expected behavior (R-3.6.0)? dat <- cbind(x = 1:10, y = 10:1) ylab <- substitute(X[t], list(t = 2)) plot(dat, ylab = ylab) # works (correctly displays ylab) boxplot(dat, ylab = ylab) # fails boxplot(dat, ylab = as.expression(ylab)) # works Thanks & cheers, M

Hi, Dear R-users, I have a problem when I drawing a boxplot. I want to extend the whisker to the 5% and the 95% quantiles and only show the most extreme outlier, like 0.01% and 99.99% percentiles. What should I do? I saw something on boxplot.stat, but even I define the parameter in boxplot.stat, what I should do next? how to connect it to boxplot? Thank you very much! Catherine -- View

Hi all, I've been using the scatterplot3d function (from the scatterplot3d library) to create 3D plots. I was wondering whether there is anyway to group the points according to a particular group variable. For example I used the plot function as plot( factor( <GROUPINGVAR> ) , <PLOTVARS> ) to organise the results in a according to the grouping variable. I was wondering

Hi, I was just trying to figure out how to beautify the output of my bwplot-output. Altogether I figured most of the things out on my own. The one thing which puzzles me though are the symbols for the outliers. I can easily change the form of the median symbol by using "pch" but I don't know how to do this for outliers. Obviously the "outpch" of the

http://www.nabble.com/file/p14668788/paragraphs.png Hi, R is is world full of wonders... I created the attached plot, and I think it's exactly what I need! Well, actually I think it is more that wht I need... I wanted R to show the mean values of the categories on the x-axis and maybe the standard derivation as well. I am pretty confident that the bold horrizontal lines in the plot show

I really like the ease of use with the boxplot command in R. I would rather have a boxplot that shows the average value and the standard deviation then the median value and the quartiles. Is there a way to do this? Chad Junkermeier, Graduate Student Dept. of Physics West Virginia University PO Box 6315 210 Hodges Hall Morgantown WV 26506-6315 phone: (304) 293-3442 ext. 1430 fax: (304)

Hi, the graphical parameter "cex.axis" does not have any affect for "boxplot": data(iris) boxplot(iris[,1:4], ylab="y", cex.lab=2, cex.axis=2) The patch is simply adding "cex.axis" to the search for axis relevant parameters in "bxp": ax.pars <- pars[names(pars) %in% c("xaxt", "yaxt", "las",

Dear R-Users! My aim is to produce boxplots without the outliers included in the plot. I started to write a function that looks something like: myboxplot <-function(x,fa) { bpdata <- boxplot(x~fa,plot=FALSE) bpnames <- names(bpdata) for (JJ in bpnames) { command <- paste("bpdata$",JJ,"$out <- numeric(0)",sep=""); eval(command) }

Hola, por mi parte doy por zanjado el tema. He llegado a la causa raíz de mi problema: falta de conocimiento de la forma en la que se debe usar la ayuda de las funciones de R y gracias a vuestra colaboración, ¡ya se cómo hacerlo :) !   Nuevamente,gracias a todos. Saludos,   Fernando   -- ____________________________________   Hola,   La misma función boxplot indica la existencia de estas

For boxplot(), is it possible to pass in a parameter to change the default way that the 1st and 3rd quartiles are computed? (specifically, I'd like to use type 6 described in the quantile function). Also, what are the options for how outliers are computed, and how can one change them? Thank you [[alternative HTML version deleted]]

Dear R-core team, I think I found a small inconsistency in the boxplot function. I don't want to post it as a bug since I'm not sure this might be considered as one according to the FAQ --- and this is not a major problem. Don't hesitate to tell me if I'm wrong. If you try to do a boxplot on a matrix and set the "at" argument to some vector different from 1:n, n is the

Was there ever a convenient method provided to add boxplots to the current plot at specified x values? There was a question by Martin Maechler some time ago here, but I could seem to find any satisfactory resolution of it. I see that there is an add=T option to boxplot and bxp, but I don't see how to set the x-values. url: http://www.econ.uiuc.edu Roger Koenker email roger at

Dear Users Is there any way to generate lines instead of points for outliers in the boxplot function? Thanks AA. [[alternative HTML version deleted]]

When plotting using the cex.axis argument to boxplot(), the size of the plotting symbols beyond the whiskers of the boxplot are being changes. Example: par(mfrow=c(2,1)) boxplot(c(rnorm(10), 10), horizontal=TRUE, main="Test", las=2, cex.axis=2) boxplot(c(rnorm(10), 10), horizontal=TRUE, main="Test", las=2, cex.axis=1) This is from the following line in bxp()