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")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ACSWR)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ACSWR/sample.Rd_%03d_medium.png", width=480, height=480)
> ### Name: sample
> ### Title: Simulated Dataset
> ### Aliases: sample
> ### Keywords: histogram
> 
> ### ** 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)
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    2    2    3    3
[2,]    0    4    4    5    5    0
> 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")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>