What a "user-friendly" application! This was my first impression when I first installed Matlab on my computer and it started up with a screen with a command prompt and basically nothing else. But I gradually began to appreciate the flexibility and power of data analysis and the relative ease of programming of Matlab. I wrote Matlab code for fun and for developing applications for myself or for my colleagues. Below, you can find a selection of the utilities I developed.
You can fit a regression line on 2D histogram data, i.e. if you already don't have the original data set containing two measurements for each data point.
Syntax: [r,slope,intercept]=regressContourPlot(twoDHist,xScale,yScale)
Help is available by typing "help regressContourPlot" at the Matlab command prompt.
Download: regressContourPlot.m
A trend line can be created from a data set containing two measurements for each data point. In order to create a trend line the X range is divided into the specified number of bins and the mean of the Y variable in each bin is calculated.
Syntax:
Help is available by typing "help createTrend" at the Matlab command prompt.
Download: createTrend.m
You can generate a 2D histogram (contour plot) interactively from a dataset containing two measurements for each data point.
Syntax: createContour(XYData)
Help is available by typing " help createContour" at the Matlab command prompt.
Download: createContour.m
The program fits the Hill equation to measurement data. The Hill equation has the following forms depending on whether IC50 or EC50 is fitted on concentrations on a linear or logarithmic scale:
The program can be run in GUI mode or command-prompt mode.
The following parameters are followed by two numbers:
If 'ec50' and 'ic50' is not followed by a numeric parameter, it only specifies whether a decreasing or increasing curve is to be fitted.
The following parameters are followed by one number or variable:
The following parameters aren't followed by anything:
The program upgrades itself.
Download: fithill.p
