SCEM (version 1.1.0)

makeFits_initial: Prepare results for cosine model fit with given initialization for two parameters.

Description

Performs the nonlinear least squares (NLS) regression method for the cosine model, with the given initial values for amplitude and intercept. It fits the NLS method as required, and then computes different quantities for the birth seasonality estimates corresponding to different individuals.

Usage

makeFits_initial(paths, amplitude, intercept)

Arguments

paths

A list of data frames, where each frame contains the data for one individual. Every data frame should have two columns with names 'distance' and 'oxygen'.

amplitude

Initial value for the amplitude parameter.

intercept

Initial value for the intercept parameter.

Value

A data frame containing the following components:

amplitude

estimated amplitude

intercept

estimated intercept

x0

delay of the data

X

period of the data

birth

birth seasonality estimate

predictedMin

predicted minimum for the oxygen isotope variable

predictedMax

predicted maximum for the oxygen isotope variable

observedMin

observed minimum for the oxygen isotope variable

observedMax

observed minimum for the oxygen isotope variable

MSE

mean squared error corresponding to the model fit for every individual

Pearson

Pearson's R^2 corresponding to the model fit for every individual

Examples

# NOT RUN {
armenia_split = split(armenia,f = armenia$ID)
amp = seq(1,10,by=0.5)
int = seq(-25,0,by=0.5)
makeFits_initial(armenia_split,amp[1],int[1])
# }