polynomial_vs_lambda: Polynomial vs Lambda Visualization

In yinscapital/retina-analysis-reference: Tools for plotting and analyzing vertebrate retinas.

Description

Visualize the effect of polynomial number and lambda on the thin plate spline fit.

Usage

polynomial_vs_lambda(retina_obj, spatial_res = 1000, polynomial_m_vec = c(3,
  4), lambda_vec = c(0, 0.001), frequency_cap = 100,
  error_x_limits = c(1000, 7000))

Arguments

retina_obj	Retinal object
spatial_res	number of pixels wide the output image will be. (1000 by default)
polynomial_m_vec	by default c(3,4), defines the polynomial degrees to try
lambda_vec	by default c(0,0.001), defines the lambda values to try
frequency_cap	y axis limit for the frequency (used to set all plots to the same Y scale)
error_x_limits	xlim 2 element vector passed for the x axis. See ?plot

Details

pdf documents in the working directory for each combination of lambda and m (polynomial degree)

Value

DAT data.frame containing each column with a combination of lambda and polynomial values. Each row value is an error value

Author(s)

Brian Cohn [e-mail] Lars Schmitz

yinscapital/retina-analysis-reference documentation built on May 22, 2019, 12:40 p.m.