joint_fit_process: Compute a baseline and periodic fit to data.

In jmzobitz/periodicFitting: Fits periodicially repeating data (trigonometric, polynomial, and piecewise linear functions)

Description

joint_fit_process Is an overarching analysis function that does a lot of heavy lifting:

• Computes a periodic and trigonometric fit (using periodic_fit_process and trigonometric_fit_process)

• Analyzes the two fits and excludes out any fits where the the degrees of freedom is less than expected

• Writes a data table of AIC and BIC values for analysis.

• Returns fitted values for the periodic and trigonometric fits for plotting.

Returns a list of fitted and predicted values of periodically repeating data. This works over a list of data sites efficiently processing multiple locations

Usage

joint_fit_process(data, model_stats_filename)

Arguments

data	a data frame with three columns: date (a POSIX date), time (the decimal time) and the value
model_stats_filename	where you want the model stats file to be stored

Value

A data frame of fitted values than we can use for plotting

Examples

# This really is an overarching function that does the master fitting, since we are doing a lot of things repeatedly this seemed to be the easiest to avoid errors!

jmzobitz/periodicFitting documentation built on July 25, 2021, 8:02 p.m.