- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to generate orthogonal polynomials in R?
We can say that orthogonal is a synonym of perpendicular. If the inner product (inner product is generalization of dot product) of two polynomials is zero then we call them orthogonal polynomials. In R, we can find the orthogonal product by using poly function as shown in the below examples.
Example1
> x<-rnorm(10) > x
Output
[1] 1.53798786 -0.85463326 2.39444451 0.82559418 -2.22197322 -1.04243823 [7] -0.04693054 -0.68691236 -1.63040923 -1.42408865
Example
> orthogonal_x<-poly(x,degree=2) > orthogonal_x
Output
1 2 [1,] 0.41743651 -0.01687537 [2,] -0.12158589 -0.21414848 [3,] 0.61038362 0.54027924 [4,] 0.25694468 -0.28489882 [5,] -0.42962751 0.57201520 [6,] -0.16389559 -0.14490046 [7,] 0.06037767 -0.37137903 [8,] -0.08380084 -0.26556522 [9,] -0.29635683 0.15165057 [10,] -0.24987583 0.03382235 attr(,"coefs") attr(,"coefs")$alpha [1] -0.3149359 0.5267254 attr(,"coefs")$norm2 [1] 1.00000 10.00000 19.70309 32.71111 attr(,"degree") [1] 1 2 attr(,"class") [1] "poly" "matrix"
Example2
> orthogonal_x_degree3<-poly(x,degree=3) > orthogonal_x_degree3
Output
1 2 3 [1,] 0.41743651 -0.01687537 -0.41882840 [2,] -0.12158589 -0.21414848 0.23310682 [3,] 0.61038362 0.54027924 0.42176833 [4,] 0.25694468 -0.28489882 -0.44362203 [5,] -0.42962751 0.57201520 -0.48208095 [6,] -0.16389559 -0.14490046 0.25573226 [7,] 0.06037767 -0.37137903 -0.07651475 [8,] -0.08380084 -0.26556522 0.19221655 [9,] -0.29635683 0.15165057 0.11263775 [10,] -0.24987583 0.03382235 0.20558443 attr(,"coefs") attr(,"coefs")$alpha [1] -0.3149359 0.5267254 -0.1157637 attr(,"coefs")$norm2 [1] 1.00000 10.00000 19.70309 32.71111 59.69013 attr(,"degree") [1] 1 2 3 attr(,"class") [1] "poly" "matrix"
Example3
> orthogonal_x_degree5<-poly(x,degree=5) > orthogonal_x_degree5
Output
1 2 3 4 5 [1,] 0.41743651 -0.01687537 -0.41882840 -0.53824181 -0.4545569 [2,] -0.12158589 -0.21414848 0.23310682 0.05839481 -0.2859929 [3,] 0.61038362 0.54027924 0.42176833 0.21609548 0.0994605 [4,] 0.25694468 -0.28489882 -0.44362203 0.06801947 0.5307426 [5,] -0.42962751 0.57201520 -0.48208095 0.33629533 -0.1868526 [6,] -0.16389559 -0.14490046 0.25573226 -0.09590512 -0.1828276 [7,] 0.06037767 -0.37137903 -0.07651475 0.48513908 0.1252141 [8,] -0.08380084 -0.26556522 0.19221655 0.19189132 -0.3055896 [9,] -0.29635683 0.15165057 0.11263775 -0.37914934 0.4409641 [10,] -0.24987583 0.03382235 0.20558443 -0.34253923 0.2194384 attr(,"coefs") attr(,"coefs")$alpha [1] -0.3149359 0.5267254 -0.1157637 0.1206771 -0.1404103 attr(,"coefs")$norm2 [1] 1.00000 10.00000 19.70309 32.71111 59.69013 67.13315 68.51457 attr(,"degree") [1] 1 2 3 4 5 attr(,"class") [1] "poly" "matrix"
Example4
> orthogonal_y_degree3<-poly(y,degree=3) > orthogonal_y_degree3
Output
1 2 3 [1,] 0.58967559 0.71092333 0.3049628 [2,] -0.07288125 -0.11174051 0.2422385 [3,] -0.07288125 -0.11174051 0.2422385 [4,] 0.05963012 -0.15968259 0.0224123 [5,] 0.19214148 -0.10138725 -0.2628119 [6,] 0.19214148 -0.10138725 -0.2628119 [7,] 0.19214148 -0.10138725 -0.2628119 [8,] -0.07288125 -0.11174051 0.2422385 [9,] -0.20539262 0.04243901 0.2150832 [10,] -0.07288125 -0.11174051 0.2422385 [11,] 0.05963012 -0.15968259 0.0224123 [12,] -0.33790399 0.30285595 -0.2406372 [13,] -0.07288125 -0.11174051 0.2422385 [14,] -0.33790399 0.30285595 -0.2406372 [15,] 0.19214148 -0.10138725 -0.2628119 [16,] 0.05963012 -0.15968259 0.0224123 [17,] -0.33790399 0.30285595 -0.2406372 [18,] -0.20539262 0.04243901 0.2150832 [19,] 0.05963012 -0.15968259 0.0224123 [20,] 0.19214148 -0.10138725 -0.2628119 attr(,"coefs") attr(,"coefs")$alpha [1] 4.550000 5.352546 6.177915 attr(,"coefs")$norm2 [1] 1.0000 20.0000 56.9500 354.4091 1091.8162 attr(,"degree") [1] 1 2 3 attr(,"class") [1] "poly" "matrix"
Example5
> orthogonal_y_degree5<-poly(y,degree=5) > orthogonal_y_degree5
Output
1 2 3 4 5 [1,] 0.58967559 0.71092333 0.3049628 0.06126607 0.01071962 [2,] -0.07288125 -0.11174051 0.2422385 0.02345881 -0.27013433 [3,] -0.07288125 -0.11174051 0.2422385 0.02345881 -0.27013433 [4,] 0.05963012 -0.15968259 0.0224123 0.30209786 0.28138992 [5,] 0.19214148 -0.10138725 -0.2628119 -0.16763520 -0.07503731 [6,] 0.19214148 -0.10138725 -0.2628119 -0.16763520 -0.07503731 [7,] 0.19214148 -0.10138725 -0.2628119 -0.16763520 -0.07503731 [8,] -0.07288125 -0.11174051 0.2422385 0.02345881 -0.27013433 [9,] -0.20539262 0.04243901 0.2150832 -0.46796052 0.37518656 [10,] -0.07288125 -0.11174051 0.2422385 0.02345881 -0.27013433 [11,] 0.05963012 -0.15968259 0.0224123 0.30209786 0.28138992 [12,] -0.33790399 0.30285595 -0.2406372 0.12904848 -0.05359808 [13,] -0.07288125 -0.11174051 0.2422385 0.02345881 -0.27013433 [14,] -0.33790399 0.30285595 -0.2406372 0.12904848 -0.05359808 [15,] 0.19214148 -0.10138725 -0.2628119 -0.16763520 -0.07503731 [16,] 0.05963012 -0.15968259 0.0224123 0.30209786 0.28138992 [17,] -0.33790399 0.30285595 -0.2406372 0.12904848 -0.05359808 [18,] -0.20539262 0.04243901 0.2150832 -0.46796052 0.37518656 [19,] 0.05963012 -0.15968259 0.0224123 0.30209786 0.28138992 [20,] 0.19214148 -0.10138725 -0.2628119 -0.16763520 -0.07503731 attr(,"coefs") attr(,"coefs")$alpha [1] 4.550000 5.352546 6.177915 4.717763 4.126941 attr(,"coefs")$norm2 [1] 1.0000 20.0000 56.9500 354.4091 1091.8162 982.6517 729.7255 attr(,"degree") [1] 1 2 3 4 5 attr(,"class") [1] "poly" "matrix"
- Related Articles
- How to generate Bernoulli random variable in R?
- How to generate passwords with varying lengths in R?
- How to generate standard normal random numbers in R?
- How to generate a power sequence of two in R?
- How to generate random samples rounded to 4 decimal places in R?
- Orthogonal Frequency Division Multiplexing (OFDM)
- How to generate the outcome of three throws of a die in R?
- How to generate a probability density distribution from a set of observations in R?
- Explain the Orthogonal Frequency Division Multiplexing in Computer Network.
- How to generate a normal random vector using the mean of a vector in R?
- How to generate random numbers with sequence and store in a data frame column in R?
- How to generate a repeated values vector with each value in output selected randomly in R?
- How to generate random samples from different statistical distributions using parameters as a list in R?
- How to generate the permutation of x values in y positions with fixed row sums in R?
- Generating an IDoc file to generate orders in SAP R/3 system

Advertisements