It can also automatically interpolate unknown values from a standard curve (i.e., to analyze RIA data), compare the fits of two equations using an F test or Akaike's Information Criterion (AIC), plot residuals, identify outliers, differentially weight data points, test residuals for normality, and much more.Ī Prism project file can contain more than data, analyses and graphs. It can report the confidence intervals of the best-fit parameters as asymmetrical ranges (profile likelihood method), which are far more accurate than the usual symmetrical intervals.

Prism also gives you many advanced fitting options. You can fit the same model separately to each data set, use global nonlinear regression to share parameter values among data sets, or fit different models to different data sets.ĭon't be fooled by the simplicity. Place data for multiple data sets side-by-side on an organized data table, and Prism can fit them all the data sets at once. Just select an equation from the extensive list of commonly used equations (or enter your own equation) and Prism does the rest automatically - fits the curve, displays the results as a table, draws the curve on the graph, and interpolates unknown values. In fact, you can usually fit curves in a single step. No other program simplifies curve fitting like Prism.

Nonlinear regression is an important tool in analyzing data, but is often more difficult than it needs to be.

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