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Boxplot for multiple categorical data sets

195 vues (au cours des 30 derniers jours)
Joana
Joana le 24 Oct 2019
Hi
I want to plot the Boxplots for 3 repeated variables collected for 4 data sets, where each data set has 15x3 values. So i actually want to plot 4 catagories on x-axis, where each catagory will have 3 vertical boxplots.
Can anyone please help me with that.?
I have attache dthe file with name features.
Thanks in advance.

Réponse acceptée

Cris LaPierre
Cris LaPierre le 25 Oct 2019
Modifié(e) : Cris LaPierre le 25 Oct 2019
You could use the 'BoxStyle','filled' name,value pair when creating the boxplot. I don't like how that looks. The best I could find to create it the way I like was this post. Note that the fill is a colored object being placed on top of the box plot. That means it will cover up the median line unless you adjust its transparency.
I've moved the plotting of the mean so that it is on top of the new object creating the fill. I've also added it to the legend so that others know what that non-standard marker represents.
Final answer would be this:
load 'Data for plot.mat'
nDataSets = 7;
nVars = 3;
nVals = 15;
% Create column vector to indicate dataset
dataSet = categorical([ones(nVars*nVals,1); ...
ones(nVars*nVals,1)*2; ...
ones(nVars*nVals,1)*3; ...
ones(nVars*nVals,1)*4;...
ones(nVars*nVals,1)*5;...
ones(nVars*nVals,1)*6;...
ones(nVars*nVals,1)*7]);
% Create column vector to indicate the variable
clear var
var(1:nVals,1) = "Var1";
var(end+1:end+nVals,1) = "Var2";
var(end+1:end+nVals,1) = "Var3";
Var = categorical([var;var;var;var;var;var;var]);
% Create a table
testData = table(data,dataSet,Var);
h = boxplot(testData.data,{testData.dataSet,testData.Var},...
'ColorGroup',testData.Var,...
'Labels',{'','Data1','','','Data2','','','Data3','','','Data4','','','Data5','','','Data6','','','Data7',''});
% set(gca,'XTickLabel',{' '})
% Don't display outliers
ol = findobj(h,'Tag','Outliers');
set(ol,'Visible','off');
% Find all boxes
box_vars = findall(h,'Tag','Box');
% Fill boxes
for j=1:length(box_vars)
patch(get(box_vars(j),'XData'),get(box_vars(j),'YData'),box_vars(j).Color,'FaceAlpha',.1,'EdgeColor','none');
end
% Add legend
Lg = legend(box_vars(1:3), {'G1','G2','G3'},'Location','northoutside','Orientation','horizontal');
%% Add Mean to boxplots
summaryTbl = groupsummary(testData,{'dataSet','Var'},"mean")
hold on
plot(summaryTbl.mean_data, '+k')
hold off
Lg.String{4} = 'mean';
  5 commentaires
Clara Yang
Clara Yang le 7 Avr 2023
Modifié(e) : Clara Yang le 7 Avr 2023
Hi, I figured the reasons, I only have 2 nVars, so in the label I need to delete some extra ' ' . If possible, is there ways for me to put the label in the middle in this case? Thank you so much again for writing this method!
Cris LaPierre
Cris LaPierre le 7 Avr 2023
Modifié(e) : Cris LaPierre le 7 Avr 2023
It is probably best to ask a new question of your own, as more people will see it.
I don't see a good way to do this with boxplot, but boxchart can really simplify the code (it's come a long way since the question was originally asked). It does require a little manipulation to get the mean values to align, but nothing difficult.
The X tick label names come directly from the categorical information used to group the data. You don't have to use categorical for grouping, but it does make it convenient to group on non-numeric data.
Here, I've renamed the categories just to demonstrate.
% Create a test data set
nDataSets = 7;
nVars = 2;
nVals = 15;
data = rand(nVals*nVars*nDataSets,1);
% Create column vector to indicate dataset
dataSet = categorical([ones(nVars*nVals,1); ...
ones(nVars*nVals,1)*2; ...
ones(nVars*nVals,1)*3; ...
ones(nVars*nVals,1)*4;...
ones(nVars*nVals,1)*5;...
ones(nVars*nVals,1)*6;...
ones(nVars*nVals,1)*7]);
dataSet = renamecats(dataSet,{'Red','Orange','Yellow','Green','Purple','Indigo','Violet'});
% Create column vector to indicate the variable
clear var
var(1:nVals,1) = "Var1";
var(end+1:end+nVals,1) = "Var2";
Var = categorical([var;var;var;var;var;var;var]);
% Create a table
testData = table(data,dataSet,Var);
% ########################################
% Actual visualization code using boxchart
boxchart(testData.dataSet,testData.data,"GroupByColor",testData.Var)
%% Add Mean to boxplots
summaryTbl = groupsummary(testData,{'dataSet','Var'},"mean");
hold on
plot((1:nDataSets*nVars)/2 + 0.25, summaryTbl.mean_data, '+k')
hold off
legend(["G1","G2","Mean"],'Location','northoutside','Orientation','horizontal')

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Plus de réponses (3)

Cris LaPierre
Cris LaPierre le 24 Oct 2019
Modifié(e) : Cris LaPierre le 24 Oct 2019
Not sure what you are hoping it looks like in the end, but here's one way.
load features.mat
data1 = features{1};
data2 = features{2};
data3 = features{3};
data4 = features{4};
subplot(1,4,1)
boxplot(data1)
title('Data 1')
subplot(1,4,2)
boxplot(data2)
title('Data 2')
subplot(1,4,3)
boxplot(data3)
title('Data 3')
subplot(1,4,4)
boxplot(data4)
title('Data 4')
naina_features_4boxplot.png
  1 commentaire
Cris LaPierre
Cris LaPierre le 24 Oct 2019
Modifié(e) : Cris LaPierre le 24 Oct 2019
One potentially cool thing is to take advantage of the grouping option (second syntax described in the doc). To do so, I'd recommend getting your data into a table. Create one variable with all the data, one with categorical info on the data set, and one with categorical info on the variable.
% Create column vector of all data
data = [data1(:); data2(:); data3(:); data4(:)];
% Create column vector to indicate dataset
dataSet = categorical([ones(numel(data1),1); ...
ones(numel(data2),1)*2; ...
ones(numel(data3),1)*3; ...
ones(numel(data4),1)*4]);
% Create column vector to indicate the variable
clear var
var(1:length(data1),1) = "Var1";
var(end+1:end+length(data1),1) = "Var2";
var(end+1:end+length(data1),1) = "Var3";
Var = categorical([var;var;var;var]);
% Create a table
testData = table(data,dataSet,Var);
Naina_table.png
Now you can use a single boxplot command to create the boxplot you describe. You can use multiple grouping variables to organize the data into separate boxplots (enclose them in curly braces). Here, I group first by dataSet, then by Var.
boxplot(testData.data,{testData.dataSet,testData.Var})
The two X-axis labels indicate 1) dataSet and 2) Variable.
If you want to see all the boxplots for a specific variable next to each other, change the order of your grouping variables to first group by Var, then by dataSet.
boxplot(testData.data,{testData.Var,testData.dataSet})
Notice the X-axis labels can still be used to correctly identify each boxplot.

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Joana
Joana le 24 Oct 2019
Hi Cris,
Thanks a lot for the reply. Second function works okay for me but i have a few more pointers, i'll highly appreciate if you can help on that as well.
1: How to color the Var1, 2 or Var3 with the same color scheme.?
2: Is it possile to add the legend of Var 1, 2 and 3 instead of showing this on x-axis.?
3: Can i show the data type=1,2,3,4 as nominal data and just once instead of repeating it for all 3 variables. e.g show 'Data1' on x-axis for 1st Var1,Var2 and Var3.?
4: The plot is showing the outliers, how to neglect that.?
TIA.
  5 commentaires
Joana
Joana le 21 Mai 2021
Dear Chris
I have been trying to dig in how to plot the boxplots of different colours for each x-axis group. For example for 1st group named as '1' i need to plot the 3 variables in Red color but one will be like shaded-boxplot, other can be 'Dashed and shaded' . Just to differentiate the variable of each group.
Likewise for example i need to plot the group '2' in blue. And the corresponding G1,G2 and G3 can be shaded, dashed or circled sort of boxplots.
Would there be any possible way to do that.?
I will highly appreciate any help. :)
Regards
Adam Danz
Adam Danz le 22 Mai 2021
@Joana I'd probably follow Chris' advice and use the grouping options in boxplot but there are several functions on the file exchange that offer additional grouping methods.

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Hudson Vieira Coutinho
Hudson Vieira Coutinho le 12 Oct 2022
its very simple!

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