similar to: boxplot graphical arguments (PR#6832)

I'd like to suggest changes to three help pages, regarding the use of pch=NA to suppress plotting symbols. See below. Arni R 2.0.1 on WinXP === help(bxp) === The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same:

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")

Dear r-help, Unfortunately I cannot find in the documentation what determines ranges of a 'box' in the box-and-whisker plot. It is said in "Simple R" (http://www.math.csi.cuny.edu/Statistics/R/simpleR) that they are 1st and 3rd Qus usually. I tried to add to boxplot lines with (quantile(x,probs=0.25)), but lines do not coincide with edges of boxes.

I am trying to draw a plot like Matlab does: The upper extreme whisker represents 95% of the data; The upper hinge represents 75% of the data; The median represents 50% of the data; The lower hinge represents 25% of the data; The lower extreme whisker represents 5% of the data. It looks like: --- 95% | | ------- 75% | | |-----| 50% | | | | -------

Dear list, I am using a external program that outputs Q1, Q3, median, upper and lower whisker values for various datasets simultaneously in a tab delimited format. After importing this text file into R, I would like to plot a boxplot using these given values and not the original series of data points, i.e. not using something like boxplot(mydata). Is there an easy way for doing this? If I am not

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

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

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.

Hi, Is it possible to produce box-and-whisker plots given that I have the median, interquartile and 5/95th centile values, but not the data from which they come? It seems that it ought to be possible to coerce bxp to do what I want, but I can't quite see how. Thanks, Matthew -- Matthew Vernon, Research Fellow Ecology and Epidemiology Group, University of Warwick

The write.csv() function is currently implemented as function (..., col.names=NA, sep=",", qmethod="double") { write.table(..., col.names=NA, sep=",", qmethod="double") } Surely, it should be function (..., col.names=NA, sep=",", qmethod="double") { write.table(..., col.names=col.names, sep=sep,

R helpers I am getting to grips with R but came across a small problem today that I could not fix by myself. I have 3 text files, each with a single column of data. I read them in using: myData1<-scan("C:/Program Files/R/myData1.txt") myData2<-scan("C:/Program Files/R/myData2.txt") myData3<-scan("C:/Program Files/R/myData3.txt") I wanted to produce a

Hi folks, I have a vaiable Y and an associated factor Z at several (13) levels. boxplot(Y~Z) produces a nice array of boxplots, one for each level of Z, and each duly labaelled with its level of Z. I would like to superpose on each boxplot the actual data points which it represents, i.e. do something conceptually (though not in real R) expressed as points(Y~Z) or points(Z,Y) It can

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

v 2.0.1 (sooooh old!) on Win2k I think I know the answer to this but I can hope ... I have data for continuous variables (measures of residents) by a categorical variable in range (1,22), the units in which they live. I want to plot these data with a pair of boxplots one above another with same x-axis (1,22) using par(mfrow=c(2,1)) and then plotting first for the women then for the men.

Hi all, I have 6 datasets(dataframes Assem_ContigsLen7 through all_ContigsLen12) containing 3 columns (contig_id, contig_length, read_count). Each dataset is composed of 3 types of contigs (assemblies of genomic fragments), 1- all Bacterial fragments, 2 - all Viral fragments, 3 - mixed fragments. I identified the type of contig through a merge with another table with just contig_id and

Hello, I have a couple more questions about boxplots. In the books I've read on statistics (I'm not a statistics expert but just a poor engineer trying to help his wife with the analysis of the data she gathered for her medieval history PhD), I seen two kinds of box plots: one using quartiles to determine the height of the rectangles and whiskers which is what the standard R boxplot does,

Hi everybody, I'm trying to modify the boxplot just to set the upper whisker to the 90 percentile value, but I still couldn't find the solution. Can anyone help me? Thanks Alessandro Carletti

Hi All, As a follow-on from the mail below, it is possible to have boxplots based on means and variance for more than one input, i.e., bxp(input1,input2,....) Thanks in Advance, Dermot ******** Previous Mail on this subject *********** >I have a couple more questions about boxplots. In the books I've read on >statistics (I'm not a statistics expert but just a poor engineer

Hi, I have data that looks like this: ASA1 ASA2 C1_C2 C M 9.0225 S S 2.4315 M C 3.4894 M S 4.5282 C M 1.3183 C S 1.3735 S C 1.0488 S M 7.948 M C 4.5827 I need to plot Boxplots for a given ASA1 (either C,S, or M) with respect to C1_C2. However, instead of one boxplot I want to plot

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