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 sort matrix columns independently in increasing order in R?
To sort a matrix column independently in increasing order means that ordering each column of the data frame in increasing order, therefore, sorting of values in one column does not affect the sorting in other columns. This can be done with the help of apply function along with the sort function as shown in the below examples.
Example
M1<-matrix(rpois(80,5),ncol=4) M1
Output
[,1] [,2] [,3] [,4] [1,] 4 7 9 4 [2,] 5 6 6 2 [3,] 4 7 3 4 [4,] 4 3 2 2 [5,] 6 3 9 3 [6,] 7 5 5 5 [7,] 4 5 5 4 [8,] 2 4 0 6 [9,] 11 5 5 7 [10,] 2 3 5 6 [11,] 3 1 9 7 [12,] 5 10 6 7 [13,] 5 5 7 5 [14,] 6 3 1 3 [15,] 5 4 8 7 [16,] 4 10 4 3 [17,] 6 4 3 1 [18,] 2 6 5 2 [19,] 6 10 12 3 [20,] 9 2 3 4
apply(M1,2,sort)
[,1] [,2] [,3] [,4] [1,] 2 1 0 1 [2,] 2 2 1 2 [3,] 2 3 2 2 [4,] 3 3 3 2 [5,] 4 3 3 3 [6,] 4 3 3 3 [7,] 4 4 4 3 [8,] 4 4 5 3 [9,] 4 4 5 4 [10,] 5 5 5 4 [11,] 5 5 5 4 [12,] 5 5 5 4 [13,] 5 5 6 5 [14,] 6 6 6 5 [15,] 6 6 7 6 [16,] 6 7 8 6 [17,] 6 7 9 7 [18,] 7 10 9 7 [19,] 9 10 9 7 [20,] 11 10 12 7
Example
M2<-matrix(rnorm(45),ncol=3) M2
Output
[,1] [,2] [,3] [1,] 0.7035341 0.1684070 0.6266624 [2,] 0.9411680 0.3888510 -0.6253838 [3,] -1.5572345 0.2111508 1.6147692 [4,] 0.9861180 0.3051785 0.4764457 [5,] 0.4121853 -0.2924738 -0.6538284 [6,] -0.2941798 1.4971932 -1.0346647 [7,] -0.8095073 0.2299736 0.9276157 [8,] 0.6784916 -0.3066246 -2.1540382 [9,] 0.3752442 -0.8025764 -0.8814537 [10,] 0.5712123 1.4410942 -0.8682303 [11,] 0.8312513 -1.0763055 1.8776386 [12,] -0.8845890 -0.3053165 1.1853445 [13,] -1.2043000 0.3795757 0.1601545 [14,] -0.8973574 -2.6955627 1.4023479 [15,] -0.7261224 2.0387155 1.0077507
apply(M2,2,sort)
[,1] [,2] [,3] [1,] -1.5572345 -2.6955627 -2.1540382 [2,] -1.2043000 -1.0763055 -1.0346647 [3,] -0.8973574 -0.8025764 -0.8814537 [4,] -0.8845890 -0.3066246 -0.8682303 [5,] -0.8095073 -0.3053165 -0.6538284 [6,] -0.7261224 -0.2924738 -0.6253838 [7,] -0.2941798 0.1684070 0.1601545 [8,] 0.3752442 0.2111508 0.4764457 [9,] 0.4121853 0.2299736 0.6266624 [10,] 0.5712123 0.3051785 0.9276157 [11,] 0.6784916 0.3795757 1.0077507 [12,] 0.7035341 0.3888510 1.1853445 [13,] 0.8312513 1.4410942 1.4023479 [14,] 0.9411680 1.4971932 1.6147692 [15,] 0.9861180 2.0387155 1.8776386
Example
M3<-matrix(runif(40,2,10),ncol=2) M3
Output
[,1] [,2] [1,] 8.265500 3.812385 [2,] 8.213926 9.066299 [3,] 9.004847 5.589592 [4,] 6.364649 6.756629 [5,] 4.953512 3.778917 [6,] 8.354575 6.133739 [7,] 6.494883 7.320632 [8,] 2.769262 5.570083 [9,] 4.301743 6.874214 [10,] 5.467977 5.934101 [11,] 7.847425 9.373401 [12,] 7.860578 9.059702 [13,] 6.378894 3.864647 [14,] 7.988057 7.527622 [15,] 3.395857 2.156028 [16,] 3.060717 9.413530 [17,] 9.574119 2.519779 [18,] 9.705956 2.428624 [19,] 3.753683 6.364985 [20,] 9.969481 8.733604
apply(M3,2,sort)
[,1] [,2] [1,] 2.769262 2.156028 [2,] 3.060717 2.428624 [3,] 3.395857 2.519779 [4,] 3.753683 3.778917 [5,] 4.301743 3.812385 [6,] 4.953512 3.864647 [7,] 5.467977 5.570083 [8,] 6.364649 5.589592 [9,] 6.378894 5.934101 [10,] 6.494883 6.133739 [11,] 7.847425 6.364985 [12,] 7.860578 6.756629 [13,] 7.988057 6.874214 [14,] 8.213926 7.320632 [15,] 8.265500 7.527622 [16,] 8.354575 8.733604 [17,] 9.004847 9.059702 [18,] 9.574119 9.066299 [19,] 9.705956 9.373401 [20,] 9.969481 9.413530
Updated on: 06-Feb-2021
271 Views
Advertisements