similar to: Boxplot graphic

hey guys I want two plots in one window with an overall title and with individual titles for each plots. my code: par(mfrow=c(2,1)) bp_dirverq1=boxplot(dirverq1, col="orange",horizontal=TRUE, main="Q1 2012",cex.main=0.7) bp_dirverq2=boxplot(dirverq2, col="orange",horizontal=TRUE, main="Q2 2012",cex.main=0.7) title("Direktveranlagung in

Hi All- I have 24 boxplots on one graph. I do not have the whiskers extending to the outliers, but I would like to label the maximum value of each outlier above the whiskers. I have the stats but am having trouble figuring out how to label the whiskers. Any suggestions would be great! sherri

Hello R-users and developers, Once again, I'm asking for your help. I can identify outliers in boxplot with this instruction result <- boxplot( Income ~ Sex, col = "lightgray", data=dados) if (length(result$out)) text(result$group, result$out, result$out, pos = 4, col = "red") But I can not identify the outlier's id (variable names) in the boxplot.

Given my reproducible example test<-structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L), .Label = c("A", "B", "C", "D", "E"), class =

Hello, I generate box plots from my data like this: qplot(x=xxx,y=column,data=data,geom="boxplot") + xlab("xxx") + ylab(ylabel) + theme_bw() + scale_y_log10() + geom_jitter(alpha=I(1/10)) The problem is that I see lot of points above the maximum at the same level as some outliers. It looks very weird as I expected the outliers to be "few" and specially not see any

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.

Hello all, I wrote a small function to add labels for outliers in a boxplot. This function will only work on a simple boxplot/formula command (e.g: something like boxplot(y~x)). Code + example follows in this e-mail. I'd be happy for any suggestions on how to improve this code, for example: - Handle boxplot.matrix (which shouldn't be too hard to do) - Handle cases of complex

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-users, Following is part of my data, where slide has 36 levels and block 48 levels. I have done boxplot for each slide on the same graph. There are outliers for each slide and I tried to use indentify functtion to identify outliers in such a way that when I click on an outlier or point, the points will be labelled by either their block or ID or by both but without success. How can I make

Hi, I'm working with a data.frame containing values between 0 and 22000. Most of the values are actually between 0 and 50 and the high ones are outliers. I want to generate a boxplot and since the outliers are extremely high, I need to scale the y scale logarithmically. Otherwise one wouldn't really see the boxes of the boxplot. boxplot(dat, log="y", ylim=c(0,

Dear all, I am comparing: > summary(boxplot(c(1,2,3,4,5,6,7,8,50),range=1.5)) Length Class Mode stats 5 -none- numeric n 1 -none- numeric conf 2 -none- numeric out 1 -none- numeric ^^^^^ group 1 -none- numeric names 1 -none- character with: > summary(boxplot(c(1,2,3,4,5,6,7,8,50),range=0)) Length Class Mode stats 5 -none- numeric n

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

Dear all, I have just sent an enquiry but probably I hadn’t expressed myself properly. Could anyone help me with the following? When I run the code on my data I get a boxplot with outliers identified by numbers 200 & 201. However, what I would like is to label these outliers with their corresponding “DATA$num” values of the data frame. In this example, the outliers should be labelled as:

Sorry if this is a stupid question, I'm a beginner and I didn't find help in manuals, archives, or web I have a z matrix of this type: a b c d 786-30.s2.gpr 0.2186214 1.3374486 89.37757 9.066358786-31.s1.gpr 1.0931070 1.3245885 81.37860 16.203704786-31.s2.gpr 0.5529835 1.3374486 86.43261 11.676955786-32.s1.gpr 0.6815844

Hi, I tried to use boxplot function. I am following the ?boxplot and can change the whisker box width using lwd parameter. However, when outline=TRUE, the thickness of the circle of the outliers is not proportionally changed when I change the line width of the whisker box. There must be another parameter for that. Unfortunately I don't know. please help and thanks much in advance. --

Junto con saludar, Quer?a saber si los que han usado boxplot.stats, saben como ubicar los resultados que arroja como "out" (outliers) directamente en la base de datos, ya que, muestra los resultados en valor de cada dato at?pico. Por ejemplo, estoy usando una base de datos con 300 datos y 10 columnas, en este caso estoy buscando los datos at?picos de la columna del precio de x

Hi Is there a way to lable (e.g. observation-number) the outliers in a boxplot? and in a bwplot? thanks a lot Christoph P.S. identify() is not available with bwplot, is it?

Another naive stats question. I'm trying to better understand what boxplots are telling me. I think what I see is the median and the boundaries of the 1st and 3rd quartiles. The whiskers represent the range of the data unless there are points which are outside "range" (default: 1.5) times the distance from the median to that quartile. Is that right? I've read the

I have a data frame containing columns which are factors. I use this to make boxplots for the data, with one box per factor. I would now like to get at the data in the data frame which corresponds to the outliers. I have so far found the $out, which gives "the values of any data points which lie beyond the extremes of the whiskers", but I haven't found anything which will let me get

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