Help with scatter plots with matrix having multiple columns

Hi,

I have data that needs to be plotted.

the X axis values are in a 20X1 vector. The Y axis values are in a 20X10 matrix. It has 10 columns for different set of measurements.

I need to plot them such that all points appear as dots (a scatter) and I also see a curve that fits (like an average or something).

Then I need to calculate the standard deviation etc. Essentially, I need to be able to see the scatter i.e. for each X value, there are 10 Y values. I need to see how the actual measurement points are located around the fit curve.

Any ideas?

Regards, Nikhil

Answer 1

[Walter Roberson]

pointsize = 8;
scatter( repmat(X(:),10,1), Y(:), pointsize );

For the other part, see

boxplot(Y)

There is no way to pass X to boxplot, so one would have to tweak the plot outputs in order to get both on one graph. Though it just might work to use

plotyy( repmat(X(:),10,1), Y(:), X, Y, @scatter, @(X,Y) boxplot(Y) )

[Nikhil Upadhyay]

The first method works for me. Thanks! Now, I just need to draw one curve that looks like a fit for the data. Any suggestions?

[Walter Roberson]

plot( x, mean(Y, 2) )