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function [coef, RSquared]=plotdata(xi,yi,polyorder) A simple data plotting function, useful for inspecting x,y data. The function accepts data in the form of a single vector, a pair of vectors "x" and "y", or a single NxM or MxN matrix with the independent variable (x) in first row or column (whichever is longer) and dependent variables y1, y2... in the remaining rows or columns, and plots x vs all y's. If only a single vector is supplied, plots it vs its index. If yi is a matrix, all the rows or columns are plotted. If yi is a vector and the input argument "polyorder" is supplied, a polynomial of order "polyorder" is fit to the data, plotted as a red line vs the data as blue dots, showing the fit coefficients and R-squared in the upper left corner of the graph. Polyorder=1 for straight line, =2 for quadratic (parabola) etc. If yi is a matrix and the input argument "polyorder" is supplied, fits row or column vs xi, plots data as points and the fits as lines, and returns a matrix of coefficients and a vector of R-squared values (does not label graph with fit coefficients and R-squared in that case). If a matrix M does not have an independent variable in the first row or column, type plotdata(1:length(M),M) or plotdata(1:length(M),M, polyorder). Tom O'Haver, 2011. Version 2, October 2011, fits multiple signals in y matrix Examples: x=[1 2 3 4 5];y=[ 0 2 3 2 0]; plotdata(y); % plot y only vs index number, no fit. plotdata(x,y); % plot x vs y only, data in separate vectors plotdata([x;y]); % plot data only, data in matrix with x in first row plotdata([x;y]'); % plot data only, data in matrix with x in first column plotdata(y,2); % plot y vs index and fit to second order polynomial plotdata(x,y,3); % plot x vs y and fit to third order polynomial plotdata([x;y],3); % plot and fit data in matrix [coef, RSquared]=plotdata([x;y],2) % return fit coefficients and r-squared [coef, RSquared]=plotdata([x;y1;y1;y3],2) % fit each y vs x
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Windows Software
Albina Merfyn - I find this to be really easy to use. I can...
