In feji3769/simplesim: Simulate Data for Model Building

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Introduction

This document goes through using the SimSwissRoll function.

Swiss Roll Usage

As always start by loading SimpleSim

library(SimpleSim)

Next we generate 1000 realizations from the Swiss Roll, and see what we get out.

swissResults = SimSwissRoll(1000, .1)
names(swissResults)

SimSwissRoll returns a list with the "data" and "t". The data is the x,y,z coordinates of each obersation and t is the value of t for that triple. We can plot the z vs. x and see our familiar treat.

data = swissResults$data
plot(data[,1], data[,3], ylab = "z", xlab = "x", main = "Swiss Roll z vs. x")

A Noisy Swiss Roll

We can also make a noisier version of our favoriate pastry by changing the value of sigma.

swissResults = SimSwissRoll(1000, sigma = 2)
data = swissResults$data
plot(data[,1], data[,3], ylab = "z", xlab = "x", main = "Noisy Swiss Roll z vs. x")

That barely even looks like our favorite food! However, when you squint all is good.

feji3769/simplesim documentation built on Dec. 12, 2020, 10:16 a.m.