ACSWR (version 1.0)

sample: Simulated Dataset

Description

In the data set sample, we have data from five different probability distributions. Histograms are used to intuitively understand the underlying probability model.

Usage

data(sample)

Format

A data frame with 100 observations on the following 5 variables.

Sample_1

A sample 1

Sample_2

A sample 2

Sample_3

A sample 3

Sample_4

A sample 4

Sample_5

A sample 5

Examples

data(sample)
layout(matrix(c(1,1,2,2,3,3,0,4,4,5,5,0), 2, 6, byrow=TRUE),respect=FALSE) 
matrix(c(1,1,2,2,3,3,0,4,4,5,5,0), 2, 6, byrow=TRUE)
hist(sample[,1],main="Histogram of Sample 1",xlab="sample1", ylab="frequency")
hist(sample[,2],main="Histogram of Sample 2",xlab="sample2", ylab="frequency")
hist(sample[,3],main="Histogram of Sample 3",xlab="sample3", ylab="frequency")
hist(sample[,4],main="Histogram of Sample 4",xlab="sample4", ylab="frequency")
hist(sample[,5],main="Histogram of Sample 5",xlab="sample5", ylab="frequency")