boxplot

I want to do some modifications of a geom_boxplot(). Because my boxplots are really "small" sometimes (see yellow and green clade in the graphic here ) i want to highlight the median even more. so is it possible to adjust the thickness of the median line? This solution is not obvious from the documentation, but luckily does not require us to edit the source code of ggplot2 . After digging through the source of ggplot2 I found that the thickness of the median line is controlled by the fatten parameter. By default fatten has a value of two: require(reshape) require(ggplot2) cars_melt = melt(cars

I'm trying to connect ggplot2 boxplots with geom_lines for multiple factors. I'd been able to accomplish so far to connect all the boxplot with lines, see attach picture. But I wish to connect the only boxplots by their corresponding factor. For example for my variable FL, I want to connect only those two boxplot, without connecting them with the remaining variables. Similarly for the variable RW, connecting those two sex boxplot without the remaining others. library("MASS") data(crabs) melt_crabs <- melt(crabs,id.var=c("sp","sex","index")) ggplot(melt_crabs, aes(x = variable, y = value)) +

I have a simple boxplot, showing the distribution of a score for factor TYPE: myDataFrame = data.frame( TYPE=c("a","a","b","b","c","c"), SCORE=c(1,1,2,3,2,1) ) boxplot( SCORE~TYPE, data=myDataFrame ) The various types are shown in the order they have in the data frame. I'd like to sort the boxplot by the mean of SCORE in each TYPE (in the example above, the order should be a,c,b ). Any hint? This is a job for reorder() : myDataFrame$TYPE <- with(myDataFrame, reorder(TYPE, SCORE, mean)) boxplot( SCORE~TYPE, data=myDataFrame ) 来源： https://stackoverflow.com/questions/9741600/sort-boxplot-by-mean

I'm fairly new to R and ggplot. I'm trying to generate a boxplot sorted by two variables. In my case Species and Experiment. What I got so far by using ggplot(DF, aes(Species, Protein, fill=Experiment, dodge=Experiment)) + stat_boxplot(geom ='errorbar')+ geom_boxplot() are boxplots of my species and each species has 2 bars, one for each experiment. My question is now, is it possible to change the colours in this way, that I have different colours per species and lets say, different shading of those colours for the experiments? Lets say, the first species would than have a dark and light blue

Does anyone know if we can plot filled boxplots in python matplotlib? I've checked http://matplotlib.org/api/pyplot_api.html but I couldn't find useful information about that. The example that @Fenikso shows an example of doing this, but it actually does it in a sub-optimal way. Basically, you want to pass patch_artist=True to boxplot . As a quick example: import matplotlib.pyplot as plt import numpy as np data = [np.random.normal(0, std, 1000) for std in range(1, 6)] plt.boxplot(data, notch=True, patch_artist=True) plt.show() If you'd like to control the color, do something similar to this:

I'm successfully using the boxplot function to generate... boxplots. Now I need to generate tables containing the stats that boxplot calculates in order to create plots. I do this by using the plot=FALSE option. The problem is that this produces data in a rather bizarre format that I simply can't do anything with. Here's an example: structure(list(stats = structure(c(178.998262143545, 182.227431564442, 202.108456373209, 220.375358994654, 221.990406228232, 216.59986775699, 217.054997032148, 228.509462713206, 267.070720949859, 284.832378859975, 189.864120937198, 201.876421960518, 219

Does anybody know of a way of generating a boxplot in R with a line (or another symbol) in the value corresponding to the mean? Thank you! abline(h=mean(x)) for a horizontal line (use v instead of h for vertical if you orient your boxplot horizontally), or points(mean(x)) for a point. Use the parameter pch to change the symbol. You may want to colour them to improve visibility too. Note that these are called after you have drawn the boxplot. If you are using the formula interface, you would have to construct the vector of means. For example, taking the first example from ?boxplot : boxplot