Prepare data - linear regression and curve fitting
Use linear and non-linear transformations to extract deeper insights from raw data.
6 articles
When and why to use simple linear model fits to derive responses in SynthaceA basic introduction to fitting simple linear models to your response data
How to use the simple linear fit transformation in SynthaceLearn how to use the Linear Fit transformation on the data preparation ap
Improved data reshaping and calculation updatesLearn about some recent changes we have made to data reshaping and transformation calculation
Performing non-linear curve fits using 4 & 5-parameter logistic regressionLearn how to apply 4 and 5 parameter logistic fits to your data in Synthace
Fitting bespoke curves to your dataBuild custom curve fits (Hill, Michaelis–Menten, and more) directly in Prepare Data
Technical Documentation for Logistic Curve FitsDetails of how fits to 4 and 5 parameter logistic fits are implemented; 4PL fits 5PL fits