Overlaying scatter plot on grouped bar graphs
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Prashanti Ganesh
am 20 Jul. 2021
Kommentiert: Prashanti Ganesh
am 21 Jul. 2021
Hi All,
I am trying to plot a grouped bar graph. Along with the bars, I also need to plot single data points on each of the bars. Additionally, I would like to connect the individual data points with each other with a line. Here is the data I would like to use. Currently, I have been able to plot the bars and the error bars. But I am unsure about plotting the single data points. Is there a way to do that?
x = 1:3;
x = categorical({'High PU-Low RU', 'Low PU-High RU', 'Low PU-Low RU'});
SEM = [0.092290761 0.08898688 0.086731951 0.0825611
0.07279865 0.077586879 0.075656197 0.076483
0.088012243 0.088217074 0.094249201 0.081997937]
y = [0.619105248 0.596942136 0.581815617 0.553836698
0.488348187 0.520468608 0.507517199 0.513063563
0.590404075 0.591778124 0.63224286 0.550058883]
all = [0.1 0.2 0.3
0.4 0.4 0.6
0.6 0.5 0.8
0.6 0.8 0.6
0.1 0.2 0.3
0.4 0.4 0.6
0.6 0.5 0.8
0.6 0.8 0.6
0.42 0.52 0.62
0.72 0.72 0.92
0.92 0.82 1.12
0.92 1.12 0.92
0.42 0.52 0.62
0.72 0.72 0.92
0.92 0.82 1.12
0.92 1.12 0.92
]
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Akzeptierte Antwort
Star Strider
am 20 Jul. 2021
The ‘all’ matrix is (16x3), however there are 12 bars (3 groups of 4). Ths size of ‘all’ is not consistent with that.
How is the ‘all’ matrix to be plotted with respect to the bars? I have chosen one option here. Clarify if I guessed incorrectly.
x = 1:3;
xlbl = {'High PU-Low RU', 'Low PU-High RU', 'Low PU-Low RU'};
SEM = [0.092290761 0.08898688 0.086731951 0.0825611
0.07279865 0.077586879 0.075656197 0.076483
0.088012243 0.088217074 0.094249201 0.081997937];
y = [0.619105248 0.596942136 0.581815617 0.553836698
0.488348187 0.520468608 0.507517199 0.513063563
0.590404075 0.591778124 0.63224286 0.550058883];
all = [0.1 0.2 0.3
0.4 0.4 0.6
0.6 0.5 0.8
0.6 0.8 0.6
0.1 0.2 0.3
0.4 0.4 0.6
0.6 0.5 0.8
0.6 0.8 0.6
0.42 0.52 0.62
0.72 0.72 0.92
0.92 0.82 1.12
0.92 1.12 0.92
0.42 0.52 0.62
0.72 0.72 0.92
0.92 0.82 1.12
0.92 1.12 0.92];
figure
hBar = bar(x, y.'); % Return ,bar Handle
for k1 = 1:size(y,2)
ctr(k1,:) = bsxfun(@plus, hBar(k1).XData, hBar(k1).XOffset'); % Note: ;XOffset; Is An Undocumented Feature, This Selects The ‘bar’ Centres
ydt(k1,:) = hBar(k1).YData; % Individual Bar Heights
end
hold on
errorbar(ctr, ydt, SEM.', '.g', 'MarkerSize',1)
plot(x, all, '.-', 'LineWidth',1.5)
xticklabels(xlbl);
.
3 Kommentare
Star Strider
am 20 Jul. 2021
My pleasure.
These data still do not match the bar plot.
I have no idea how to plot them since the sizes (number of rows in ‘all’ and the number of bars) do not match, nor do I know what result you want. The bar centres (with respect to to x-axis coordinates) are provided by the ‘ctr’ matrix, created in the loop. Once the rows in ‘all’ match the number of bars (12), you can use those data to plot the lines in a loop. Just now, I have no idea how to do that, because the numbers do not match. I also have no idea how to match the rows of ‘all’ and the bars themselves, even if the sizes matched, in order to plot the lines. Those details — what rows of ‘all’ go with what bars — have not been provided.
.
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