Simulated Dataset
In the data set sample, we have data from five different probability distributions. Histograms are used to intuitively understand the underlying probability model.
data(sample)
A data frame with 100 observations on the following 5 variables.
Sample_1A sample 1
Sample_2A sample 2
Sample_3A sample 3
Sample_4A sample 4
Sample_5A sample 5
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")
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