simcurve: simcurve

In elincho/ihclust: Iterative Hierarchical Clustering (IHC)

simcurve

Description

This function generates two kinds of datasets. 1. Randomly generates curves with change/no change. 2. Generates true curves assumed from fixed coeffecients with some random noise.

Usage

simcurve(numareas = c(300, 300, 300), p = 0.05, type, normerr = 0.1)

Arguments

numareas	number of areas to generate
p	proportion of the areas that have significant change
type	type of curves generated
normerr	standard deviation of the Normal distribution (with mean zero) of which the coefficients are generated

Details

If type = "random", the function generates curves with change/no change. If type = "fixed", the function generates true curves assumed from fixed coefficients with some random noise. If numareas is not specified, it is assumed as a vector of c(300,300,300). If normerr is not specified, it is assumed as a value of 0.01. It is ignored when type= "random".

Value

Output from the function is a list of two items:

• data - simulated data

• parameters - parameters used to generate the data

Examples

mydata_ran <- simcurve(numareas = c(300, 300, 300), p=0.01, type="random")

mydata_fixed <- simcurve(numareas = c(300, 300, 300), p=0.01, type="fixed", normerr = 0.1)

elincho/ihclust documentation built on July 2, 2022, 1:18 p.m.