IASD-package: Model Selection for Index of Asymmetry Distribution

In IASD: Model Selection for Index of Asymmetry Distribution

Model Selection for Index of Asymmetry Distribution

Description

Calculate AIC's and AICc's of unimodal model (one normal distribution) and bimodal model(a mixture of two normal distributions) which fit the distribution of indices of asymmetry (IAS), and plot their density, to help determine IAS distribution is unimodal or bimodal.

Details

Package:	IASD
Type:	Package
Version:	1.1.1
Date:	2023-09-01
License:	GPL (>= 2)

IASD(df) calculates AIC's and AICc's of unimodal model and bimodal model for the distribution of indices of asymmetry in the data frame df, and plots density functions.

Author(s)

Satoshi Takahashi

Maintainer: Satoshi Takahashi <[e-mail]>

Examples

	df = data.frame(ID = c(1:5), IAS = c(8.3, 12.7, -12.7, -7.3, -8.1),
	   IAS2 = c(14.2, 8.8, -12.7, -8.6, -10.5),
	   IAS3 = c(1.04, 1.28, -0.78, -0.84, -0.85))
		# Do not use the option 'generateFiles = FALSE', in the following IASD commands.
	result = IASD(df, generateFiles = FALSE) # calculate AIC's and AICc's
	result = IASD(df, cols = c(2,4), plotGraph = FALSE, generateFiles = FALSE) 
		# use data in the second and fourth columns, do not plot graphs
	result = IASD(df, filePrefix="P.microlepis", xlimMin = -15, 
		xlimMax = 15, dHist = c(1, 1, 0.1), generateFiles = FALSE)  
		# file name of each plot starts with "P.microlepis", plot range 
		# and width of histgram bar is changed

IASD documentation built on Sept. 8, 2023, 5:43 p.m.