group objects of a multiple line plot

I'm plotting multiple lines into figure, which I generated out of table. Now I want to group the lines into the a certain number of groups (f.e.: 5), the groups are defined by string in one column of my table. I checked the documentation and tried it with the hggroup and the findobj, since they looked helpful, but couldn't get it done. Any ideas/suggestions how to solve this? If more information is needed oder sth isn't clear please comment. Thanks

[Morteza Hajitabar Firuzjaei]

Dear Philip,

check it out:

Plot Data by Group

Load the sample data.

load fisheriris The column vector species consists of iris flowers of three different species: setosa, versicolor, and virginica. The double matrix meas consists of four types of measurements on the flowers: the length and width of sepals and petals in centimeters, respectively.

Store the data in a table array.

t = table(species,meas(:,1),meas(:,2),meas(:,3),meas(:,4),... 'VariableNames',{'species','meas1','meas2','meas3','meas4'});

Meas = dataset([1 2 3 4]','VarNames',{'Measurements'});

Fit a repeated measures model, where the measurements are the responses and the species is the predictor variable.

rm = fitrm(t,'meas1-meas4~species','WithinDesign',Meas);

Plot data grouped by the factor species.

plot(rm,'group','species')

Change the line style for each group.

plot(rm,'group','species','LineStyle',{'-','--',':'})

Plot Data Grouped by Two Factors Load the sample data.

load repeatedmeas The table between includes the between-subject variables age, IQ, group, gender, and eight repeated measures y1 through y8 as responses. The table within includes the within-subject variables w1 and w2. This is simulated data.

Fit a repeated measures model, where the repeated measures y1 through y8 are the responses, and age, IQ, group, gender, and the group-gender interaction are the predictor variables. Also specify the within-subject design matrix.

rm = fitrm(between,'y1-y8 ~ Group*Gender + Age + IQ','WithinDesign',within);

Plot data with Group coded by color and Gender coded by line type.

plot(R,'group',{'Group' 'Gender'},'Color','rrbbgg',... 'LineStyle',{'-' ':' '-' ':' '-' ':'},'Marker','.')

Morteza Hajitabar Firuzjaei

Answer 1

[AKennedy]

To group lines in a plot based on a specific column in your table, you can use a combination of MATLAB's plotting functions and logical indexing.

1. Ensure your table has a column with strings that define the groups. Let's say this column is named GroupColumn.
2. Plot Lines by Group: Loop through each unique group and plot the corresponding lines. Use hggroup to group them visually.
3. Add legends to identify each group.

% Sample data
% Assume 'dataTable' is your table, and it has columns 'X', 'Y', and 'GroupColumn'

% Get unique groups
uniqueGroups = unique(dataTable.GroupColumn);

% Create a figure
figure;
hold on;

% Initialize a cell array for legend entries
legendEntries = cell(length(uniqueGroups), 1);

% Loop through each group
for i = 1:length(uniqueGroups)
    % Get the current group
    currentGroup = uniqueGroups{i};
    
    % Filter rows that belong to the current group
    groupRows = strcmp(dataTable.GroupColumn, currentGroup);
    
    % Plot lines for the current group
    % Assuming 'X' and 'Y' are the columns for plotting
    h = plot(dataTable.X(groupRows), dataTable.Y(groupRows), 'DisplayName', currentGroup);
    
    % Use hggroup to group the lines visually
    hgg = hggroup;
    set(h, 'Parent', hgg);
    
    % Store the legend entry
    legendEntries{i} = currentGroup;
end

% Add legend to the plot
legend(legendEntries);

% Release the hold on the plot
hold off;

Use strcmp to filter rows based on the group.