sample {ACSWR} | R Documentation |
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")
[Package ACSWR version 1.0 Index]