PQPLOT

Some functions for easily generating publication quality plots in Matlab with all of the set() and get() stuff built in.

This is in no way a flexible package ready for general use. I've just been creating functions here and there based on my needs at the time.
Currently, this uses the viridis colourmap

Examples

Scatterplot

Scatterplots can be created with the pqscatter function. Title can be added with the pqtitle function, which takes the pqplot object s (in the example below) as the first argument.

% Creating a PQ ScatterPlot
rng(123);
x = randn(100, 1);
y = 1.5*x + 0.2*randn(100, 1);

figure();
s = pqscatter(x, y);
pqtitle(s, 'PQ Scatter Plot');
xlabel('X Label');
ylabel('Y Label');

Actual vs. Estimate Scatterplots and Plotting Least Squares Regression Lines

This function was originally created to compare accuracy of a model-fitting algorithm's parameter estimates compared to the true ones. As such, there exists an option third argument in pqscatter which accepts a cell array containing one or more of 'match', which plots a diagonal line from the origin to the top right-hand corner, or 'lm' which plots an ordinary least-squares regression line to the data series.

% Creating an Actual vs. Estimate PQ ScatterPlot

rng(123);
x = randn(100, 1);
y = 1.5*x + 0.2*randn(100, 1);

figure();
s = pqscatter(x, y, {'match'});
pqtitle(s, 'PQ Actual vs. Estimate Plot');
xlabel('Actual');
ylabel('Estimate');

% Creating an Actual vs. Estimate PQ ScatterPlot with an additional least squares fit line

rng(123);
x = randn(100, 1);
y = 1.5*x + 0.2*randn(100, 1);

figure();
s = pqscatter(x, y, {'match', 'lm'});
pqtitle(s, 'PQ Actual vs. Estimate Plot');
xlabel('Actual');
ylabel('Estimate');

Plotting multiple series with `pqscatter`

Just have y be a matrix with each series you wish to plot as an individual column in that matrix.

% Plotting multiple series with pqscatter

rng(123);
x = randn(100, 1);
y = meshgrid(0.5:2.5, 1:100).*repmat(x, 1, 3) + 0.2*randn(100, 3);

figure();
s = pqscatter(x, y, {'match', 'lm'});
pqtitle(s, 'PQ Actual vs. Estimate Plot');
xlabel('Actual');
ylabel('Estimate');

Bar Plots

Bar plots can be created with the pqbar function

% Bar plot with pqbar()

rng(123);
labelsx = {'A', 'B', 'C'};
y = rand(1, 3)*10;

figure();
s = pqbar(labelsx, y);
pqtitle(s, 'PQ Bar Plot');
ylabel('Values');

The pqbar function can also plot multiple series per xlabel. Just add each series as a new column in the array y:

% Bar plot with pqbar()

rng(123);
labelsx = {'A', 'B', 'C'};
y = rand(3, 5)*10;

figure();
s = pqbar(labelsx, y);
pqtitle(s, 'PQ Bar Plot Multi-Series');
ylabel('Values');