how do you make a scatter plot with categorical data with connecting lines?

Hello!

I have two 5x34 matrices that I want to compare in a plot like as follows;

My code so far is as follows:

 %% dot plot
for i = 1:length(subjects)
    subj=subjects{i} % individual subject    
    figure(1)
   
   x = ones(1, length(lh_mean_nocap))
   scatter(x, lh_mean_nocap, 'b', 'filled'); hold on
   scatter(x, rh_mean_nocap, 'b', 'filled')
    set(gcf, 'color', 'w');
   hold on;
  
   x = 2 * ones(1, length(lh_mean_nocap));
   scatter(x, lh_mean_cap, [], [0.9100 0.4100 .1700], 'filled'); hold on
   scatter(x, rh_mean_cap, [], [0.9100 0.4100 .1700], 'filled'); hold on
   
   title('Grey White Matter Mean Signal Ratio - All Subjects');
   ax = gca;
   ax.XTick = [1,2];
   ax.XTickLabels = {'No Cap', 'R-Net'}
   ylabel('Grey White Matter Mean Signal')
   xlim([0, 3])
   
end

Which gives me a graph with two categorical parts, however, I want to connect the corresponding categoricalvariables.

thank you!

[dpb]

You forgot to attach your data...

You just want a line between the means of each of the sets of scatter points, I guess? Since there's only one point shown on the sketch it's not at all clear what the data sizes are...

Answer 1

[Star Strider]

The data being used would help produce an appropriate response.

The ‘connecting lines’ request eliminates scatter as an option because it plots only discrete points without connecting lines.

The plot function connects the markers with lines.

This works in R2021b. Posting the version/release being used for this would allow a more specific reply if this does not work correctly in the version/release being used.

x = categorical({'a','b','c','d'});
y = rand(size(x));

figure
plot(x, y, '-p')
grid

Experiment with the actual data to see if it works correctly using this approach.

.