Introduction

Please select an option from the pull-down menu above.

Text data editor

Cut-and-paste text or edit data here

Convert commas to spaces (1,2,0,3 yields 1 2 0 3) Use comma as decimal separator (1,203 = 1.203) Remove commas from text (1,2,0,3 yields 1203)

Standard Unweighted Fitting: no weights required Weighted Fitting: each data point requires a weight

This data is provided as an example, cut and paste as needed to model your data. All lines of text that do not begin with a number are ignored. Weighted fitting requires an additional number to be used as a weight when fitting. The site does not calculate any weights, which are used as: error = weight * (predicted - actual) You must provide any weights you wish to use. X Y 5.357 0.376 5.457 0.489 5.797 0.874 5.936 1.049 6.161 1.327 6.697 2.054 6.731 2.077 6.775 2.138 8.442 4.744 9.769 7.068 9.861 7.104

Fitting Target

Here you can select the desired fitting target.

Fitting target is lowest sum of squared absolute error Fitting target is lowest sum of squared orthogonal distance Fitting target is lowest sum of squared relative error Fitting target is lowest sum of absolute value of absolute error Fitting target is lowest sum of absolute value of relative error Fitting target is lowest peak absolute value of absolute error Fitting target is lowest peak absolute value of relative error Fitting target is lowest Akaike Information Criterion Fitting target is lowest Bayesian Information Criterion

Data labels for graphs

Here you can enter the X and Y data labels to be printed on the report graphs.

Label for first independent data (X)

Label for dependent data (Y)

Graph scaling and lin/log control

Here you can choose the scaling of the data plots.
Log plots require data values greater than zero.

X Scale		Y Scale
Autoscale +/- 1% Autoscale +/- 2.5% Autoscale +/- 5% Autoscale +/- 10% Autoscale +/- 25% Autoscale +/- 50% Autoscale +/- 100% Autoscale +/- 150% Autoscale +/- 200% Manual Scale Max X: Min X:   Linear Scaling Logarithmic Scaling		Autoscale +/- 1% Autoscale +/- 2.5% Autoscale +/- 5% Autoscale +/- 10% Autoscale +/- 25% Autoscale +/- 50% Autoscale +/- 100% Autoscale +/- 150% Autoscale +/- 200% Manual Scale Max Y: Min Y:   Linear Scaling Logarithmic Scaling

Graph size

Here you can choose the size of the report graphs. Smaller size files load quickly,
with less resolution while large files show more resolution but load more slowly.

320 x 240 (fastest) 500 x 400 640 x 480 700 x 500 800 x 600 900 x 700 1024 x 768 1280 x 1024 1600 x 1200 (slowest)

Scientific Notation

Here you can control scientific notation on the data plots.

X Control		Y Control
On Off Auto		On Off Auto

Hold Coefficients Constant

Here you can enter values to hold coefficients constant during fitting.
Leave the entry field blank to let the coefficient fit normally.


y = abx / (1+bx)

a
b

Estimated Initial Coefficients

Here you can enter values for initial parameter estimates.

Few users will need this section, as the site estimates initial
parameters using the Differential Evolution genetic algorithm
for both nonlinear equations and non-Gaussian fitting targets.

y = abx / (1+bx)

a
b

Coefficient Bounds

Here you can enter upper and lower bounds on coefficients.

Few users will need this section unless fitted parameters
are outside of an expected or permissible range of values.


y = abx / (1+bx)

	Upper Bound	Lower Bound
a
b