similar to: How to make a boxplot with exclusion of certain groups

I have a simple barplot of 4 mean values, each mean value has an associated 95% confidence interval drawn on the plot as an error bar. I want to make a legend on the plot that uses the error bar symbol, and explains "95% C.I." How do I show the error bar symbol in the legend? I could not find any "pch" values that are appropriate Thanks [[alternative HTML version

I am very new to R so forgive me if this seems basic but I have done extensive searching and failed to come up with the answer for myself. I am trying to label a boxplot I have created with the values for the median, upper and lower quartiles and max and min values. I have been unable to do this or find anything on the net to say how it might be done. Is this possible and if so how? Regards,

I have read the R manual and help archives, sorry but I'm still stuck. How would I do a t-test with an adjusted p-value? Suppose that I use t.test ( ) , with the function argument alternative = "two.sided", and data such that degrees of freedom = 20. The function calculates a t-statistic of 2.086, and p-value =0.05 How do I then adjust the p-value? My thought is to do

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

Hi, How can I get the values of mean and median (not only points but values too) on the boxplot. I am using boxplot function from graphics package. Following is my data set > df [1] 5 1 1 0 0 10 38 47 2 5 0 28 5 8 81 21 12 9 1 12 2 4 22 3 > mean.val <- sapply(df,mean) > boxplot(df,las = 1,col = "light blue") > points(seq(df), mean.val,

Hi, I am new to R and am still trying to get a grip of it. I have data in this format: Run Lab Batch Y 1 1 1 1 608.781 2 2 1 2 569.670 3 3 1 1 689.556 4 4 1 2 747.541 5 5 1 1 618.134 6 6 1 2 612.182 7 7 1 1 680.203 8 8 1 2 607.766 9 9 1 1 726.232 and I want to make a boxplot of the Y values for each

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

Dear all, How can I plot the number of observations per box in a boxplot. Many thanks, Bernard --------------------------------- [[alternative HTML version deleted]]

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

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'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,

Greetings, I am trying to add a boxplot to the bottom of a histogram, right between the histogram bars and the x axis. Here is the code I am using at the moment (the par line is probably not relevant for our discussion): hs <- hist(x, breaks = 20, plot = F) par(mar = c(3,3,2,1)) hist(x, breaks = 20, main = NULL, ylim = c(-2, max(hs$counts))) boxplot(x, horizontal = T, axes = T, add =

Dear R-users! I boxplotted some data. the class of the data is numeric. There are some outliers and I would like to see their names in the graphic. So, instead that the data points of the outliers are plotted as points, I would like to have their names plotted. First of, how can I give my data series (class numeric) names? Second, how could I adjust the boxplot to see the names of the outliers

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. --

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.

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

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

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, does somebody know in a boxplot, what does each element in the boxplot represent? 1. lines at the extremes of the dotted lines? 2. Extremes of the boxes 3. Black line in the middle of the box? 4. notches? Thank you Felipe Parra [[alternative HTML version deleted]]