Construct the data using the sample() function: # change n <- your id/100 n <- 12345/100 a <- sample(n, 30, replace = T) b <- sample(n, 30, replace = T) c <- sample(n, 30, replace = T) d <- sample(n, 30, replace = T) mydata <- data.frame(a,b,c,d) head(mydata) Create a loop over the columns and create a histogram of the data in each column. • First, set up a 2 by 2 plotting space with par(mforw()) • Next, write a loop to create four histograms for a,b,c, and d.
Construct the data using the sample() function: # change n <- your id/100 n <- 12345/100 a <- sample(n, 30, replace = T) b <- sample(n, 30, replace = T) c <- sample(n, 30, replace = T) d <- sample(n, 30, replace = T) mydata <- data.frame(a,b,c,d) head(mydata) Create a loop over the columns and create a histogram of the data in each column. • First, set up a 2 by 2 plotting space with par(mforw()) • Next, write a loop to create four histograms for a,b,c, and d.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Construct the data using the sample() function:
# change n <- your id/100
n <- 12345/100
a <- sample(n, 30, replace = T)
b <- sample(n, 30, replace = T)
c <- sample(n, 30, replace = T)
d <- sample(n, 30, replace = T)
mydata <- data.frame(a,b,c,d)
head(mydata)
Create a loop over the columns and create a histogram of the data in each column.
• First, set up a 2 by 2 plotting space with par(mforw())
• Next, write a loop to create four histograms for a,b,c, and d.
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