Data, curve fitting & statistics

Import a dataset, fit a model to it, and read off the parameters — then export the fitted curve as a figure for your paper.

Beyond plotting raw points, Writano can fit a model to your data and report the best-fit parameters. This is useful for calibration curves, decay constants, and any figure where the trend, not just the scatter, is the result.

Import your data

Bring your measurements in as CSV or Excel from the data tools. Each column becomes a variable you can plot on an axis. Once the points are on a scatter plot, you are ready to fit.

Choose a model and fit

Pick a fit type — linear, polynomial, exponential, or a Gaussian, among others. For a Gaussian peak, Writano fits

y = a \, \exp\!\left(-\frac{(x - \mu)^2}{2\sigma^2}\right)

and returns the amplitude $a$ , the centre $\mu$ , and the width $\sigma$ . Nonlinear fits use a Levenberg–Marquardt solver, so a reasonable initial guess helps it converge on awkward data.

The fitted curve is drawn over your points, and the parameters — with their goodness of fit — are shown alongside so you can report them.

Read off and report the parameters

A fit is only useful if you can quote it. Writano lists each parameter and an $R^2$ value:

Parameter	Fitted value
$a$	1.02
$\mu$	4.98
$\sigma$	0.51
$R^2$	0.997

Copy these straight into your text, or reference them in a caption.

Export the figure

Export the fitted plot as a PDF for a vector figure, or Insert it into your paper with a label. Because the fit is stored with the figure, reopening it later brings back both the data and the model, so you can refit if new measurements arrive.