- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
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 add a new column to a matrix in R?
A data collection process is one of the initial and very important tasks in a data analysis project and sometimes we miss something. Therefore, we need to collect that data later and add it to the originally collected data. This mistake can be done for matrix data as well, hence we might need to add a new column to original matrix and this can be done by using cbind function.
Example1
> M1<-matrix(1:25,nrow=5) > M1
Output
[,1] [,2] [,3] [,4] [,5] [1,] 1 6 11 16 21 [2,] 2 7 12 17 22 [3,] 3 8 13 18 23 [4,] 4 9 14 19 24 [5,] 5 10 15 20 25
Example
> V1<-26:30 > M1<-cbind(M1,V1) > M1
Output
V1 [1,] 1 6 11 16 21 26 [2,] 2 7 12 17 22 27 [3,] 3 8 13 18 23 28 [4,] 4 9 14 19 24 29 [5,] 5 10 15 20 25 30
Example2
> M2<-matrix(rpois(81,5),ncol=9) > M2
Output
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 7 3 3 4 2 3 6 3 6 [2,] 7 5 6 6 4 4 4 5 3 [3,] 5 6 3 9 4 3 4 6 4 [4,] 4 4 3 6 1 3 6 9 4 [5,] 2 4 4 5 9 2 3 4 4 [6,] 6 5 5 3 3 4 3 9 5 [7,] 11 5 5 6 4 5 3 4 4 [8,] 4 3 1 1 9 3 5 4 3 [9,] 14 7 5 1 6 4 4 6 5
Example
> V2<-rpois(9,10) > M2<-cbind(M2,V2) > M2
Output
V2 [1,] 7 3 3 4 2 3 6 3 6 14 [2,] 7 5 6 6 4 4 4 5 3 9 [3,] 5 6 3 9 4 3 4 6 4 7 [4,] 4 4 3 6 1 3 6 9 4 10 [5,] 2 4 4 5 9 2 3 4 4 6 [6,] 6 5 5 3 3 4 3 9 5 11 [7,] 11 5 5 6 4 5 3 4 4 10 [8,] 4 3 1 1 9 3 5 4 3 12 [9,] 14 7 5 1 6 4 4 6 5 13
Example3
> M3<-matrix(rnorm(25,2,0.36),nrow=5) > M3
Output
[,1] [,2] [,3] [,4] [,5] [1,] 1.696484 1.269688 1.607353 1.913940 2.463333 [2,] 2.485409 2.107897 1.989745 2.072183 1.120741 [3,] 2.202257 1.715435 2.027664 1.230764 2.435480 [4,] 1.845053 2.132015 1.845209 1.480105 1.870550 [5,] 2.286963 1.776010 1.691820 1.634944 2.091766
Example
> V3<-rnorm(5,5,1) > M3<-cbind(M3,V3) > M3
Output
V3 [1,] 1.696484 1.269688 1.607353 1.913940 2.463333 4.961799 [2,] 2.485409 2.107897 1.989745 2.072183 1.120741 5.243562 [3,] 2.202257 1.715435 2.027664 1.230764 2.435480 4.393539 [4,] 1.845053 2.132015 1.845209 1.480105 1.870550 6.008758 [5,] 2.286963 1.776010 1.691820 1.634944 2.091766 5.988232
Example4
> M4<-matrix(round(runif(64,2,5),0),ncol=8) > M4
Output
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 3 5 5 3 4 3 4 3 [2,] 3 3 4 3 3 3 4 3 [3,] 3 4 3 4 4 4 4 2 [4,] 3 2 3 2 5 2 5 4 [5,] 4 4 2 5 3 3 2 3 [6,] 3 4 3 3 4 2 4 5 [7,] 4 3 3 3 4 4 3 2 [8,] 4 3 4 3 4 4 2 5
Example
> V4<-round(runif(8,1,5),0) > M4<-cbind(M4,V4) > M4
Output
V4 [1,] 3 5 5 3 4 3 4 3 5 [2,] 3 3 4 3 3 3 4 3 5 [3,] 3 4 3 4 4 4 4 2 4 [4,] 3 2 3 2 5 2 5 4 2 [5,] 4 4 2 5 3 3 2 3 5 [6,] 3 4 3 3 4 2 4 5 4 [7,] 4 3 3 3 4 4 3 2 2 [8,] 4 3 4 3 4 4 2 5 3
Example5
> M5<-matrix(round(rexp(36,1.22),2),ncol=6) > M5
Output
[,1] [,2] [,3] [,4] [,5] [,6] [1,] 1.55 0.02 1.27 0.31 0.10 0.08 [2,] 1.13 0.26 0.46 0.06 0.90 0.43 [3,] 0.14 1.26 0.89 0.12 0.16 0.63 [4,] 0.33 0.79 1.03 2.72 0.17 0.49 [5,] 0.17 4.59 0.04 0.26 0.18 1.52 [6,] 0.46 1.05 0.10 0.96 0.64 0.31
Example
> V5<-round(rexp(6,2.1),2) > M5<-cbind(M5,V5) > M5
Output
V5 [1,] 1.55 0.02 1.27 0.31 0.10 0.08 0.07 [2,] 1.13 0.26 0.46 0.06 0.90 0.43 0.00 [3,] 0.14 1.26 0.89 0.12 0.16 0.63 0.40 [4,] 0.33 0.79 1.03 2.72 0.17 0.49 0.23 [5,] 0.17 4.59 0.04 0.26 0.18 1.52 0.32 [6,] 0.46 1.05 0.10 0.96 0.64 0.31 0.64
Advertisements