• Write an R function called "laginter()" that uses two pre-generated vectors: xVec and yVec, each of which of length N. Then, the function asks the user to enter a value of xx. The function will calculate the value of yk using Lagrange Polynomials Interpolation explained above. o The function must validate the value of x falls between the minimum and maximum values of xVec o Use the following values to test your function: f(x) 1 0.144 1.3 -0.6878 1.6 -0.9962 1.9 -0.5507 2.2 0.3115 o Find f(1.5). The expected answer is -0.9773.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Part IV - Exercises from Part II
• Write an R function called "lagInter()" that uses two pre-generated vectors: xVec
and yVec, each of which of length N. Then, the function asks the user to enter a
value of xx. The function will calculate the value of yk using Lagrange
Polynomials Interpolation explained above.
o The function must validate the value of x falls between the minimum and
maximum values of xVec
o
Use the following values to test your function:
x
f(x)
1
0.144
1.3
-0.6878
1.6
-0.9962
1.9
-0.5507
2.2
0.3115
o Find f(1.5). The expected answer is -0.9773.
Transcribed Image Text:Part IV - Exercises from Part II • Write an R function called "lagInter()" that uses two pre-generated vectors: xVec and yVec, each of which of length N. Then, the function asks the user to enter a value of xx. The function will calculate the value of yk using Lagrange Polynomials Interpolation explained above. o The function must validate the value of x falls between the minimum and maximum values of xVec o Use the following values to test your function: x f(x) 1 0.144 1.3 -0.6878 1.6 -0.9962 1.9 -0.5507 2.2 0.3115 o Find f(1.5). The expected answer is -0.9773.
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