Takes manually entered data or data from a CSV or TXT file and fits a function through them using least square methods. Uses a clean and simple interface that is easy to use.
LSAnalyzer v1.2 MacOSX Retail-CORE
Available fitting methods: average, linear, quadratic, ..., any polynomial with up to an 8th order term, exponential, logarithmic, and power functions. For exponential, logarithmic, and power fits, one of the parameters can be specified.
Displays the fit equation, the coefficient of determination (R^2), and the standard deviation.
Reads and saves CSV files. Saves the fit points at the data's x values as well as a fit line that contains 100 points spanning the view domain. Saves the graph as a PDF file with manually adjustable limits and subdivisions.
What's New in Version 1.2
Added specifiable parameter options for exponential, logarithmic, and power fits.
Added manual plot limits and subdivision parameters.