1. Create a R script to do the following Create a vector 'x' with values from 100 to 109. Create a vector 'y' with values 34, 28, 45, 67, 89, 93, 24, 49, 11, 7 Add vector 'x' and 'y'

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
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Please help for each proble stey by step and with a final code for understanding thank you.

1. Create a R script to do the following
Create a vector 'x' with values from 100 to 109.
Create a vector 'y' with values 34, 28, 45, 67, 89, 93, 24, 49, 11, 7
Add vector 'x' and 'y'
2. Assuming that variables a, b, c, d, and f are scalars, write R statements to compute and display
the following expressions. Test your statements for the following values.
a = 1.12, b = 2.34, c= 0.72, d = 0.81, f = 19.83
x = 1+
S =
7 =
b-a
d-c
1
a
1
1 1
+-+-+
b
C
1
y = ab ¹ƒ²
c 2
1
d
Correct answer
x = 1.4805
s = 13.5556
r = 0.2536
y = 715.6766
Transcribed Image Text:1. Create a R script to do the following Create a vector 'x' with values from 100 to 109. Create a vector 'y' with values 34, 28, 45, 67, 89, 93, 24, 49, 11, 7 Add vector 'x' and 'y' 2. Assuming that variables a, b, c, d, and f are scalars, write R statements to compute and display the following expressions. Test your statements for the following values. a = 1.12, b = 2.34, c= 0.72, d = 0.81, f = 19.83 x = 1+ S = 7 = b-a d-c 1 a 1 1 1 +-+-+ b C 1 y = ab ¹ƒ² c 2 1 d Correct answer x = 1.4805 s = 13.5556 r = 0.2536 y = 715.6766
3. Download "HW01-Prob3Data.csv" spreadsheet file. This file contains data related to
automobiles which has the following 9 fields.
Car ID
Mpg (miles per gallon)
• Cylinders
Displacement
Horse Power
Weight
Acceleration
Origin
• Age
Read this spreadsheet data in a variable in R. Make sure that the data is read correctly by R by
displaying the first few values of the data.
Transcribed Image Text:3. Download "HW01-Prob3Data.csv" spreadsheet file. This file contains data related to automobiles which has the following 9 fields. Car ID Mpg (miles per gallon) • Cylinders Displacement Horse Power Weight Acceleration Origin • Age Read this spreadsheet data in a variable in R. Make sure that the data is read correctly by R by displaying the first few values of the data.
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