R - Data Frames

Combine Vectors, Matrix or Data Frames by Columns in R Language - cbind() Function

Last Updated : 01 Jun, 2020

cbind() function in R Language is used to combine specified Vector, Matrix or Data Frame by columns.

Syntax: cbind(x1, x2, ..., deparse.level = 1) Parameters: x1, x2: vector, matrix, data frames deparse.level: This value determines how the column names generated. The default value of deparse.level is 1.

Example 1:

Python3

# R program to illustrate
# cbind function

# Initializing two vectors
x <- 2:7
y <- c(2, 5)

# Calling cbind() function
cbind(x, y)

Output:

     x y
[1, ] 2 2
[2, ] 3 5
[3, ] 4 2
[4, ] 5 5
[5, ] 6 2
[6, ] 7 5

Example 2:

Python3

# R program to illustrate
# cbind function

# Initializing a vector
x <- 1:5

# Calling cbind() function
cbind(x, 4)
cbind(x, 5, deparse.level = 0)
cbind(x, 6, deparse.level = 2)
cbind(x, 4, deparse.level = 6)

Output:

     x  
[1, ] 1 4
[2, ] 2 4
[3, ] 3 4
[4, ] 4 4
[5, ] 5 4
     [, 1] [, 2]
[1, ]    1    5
[2, ]    2    5
[3, ]    3    5
[4, ]    4    5
[5, ]    5    5
     x 6
[1, ] 1 6
[2, ] 2 6
[3, ] 3 6
[4, ] 4 6
[5, ] 5 6
     [, 1] [, 2]
[1, ]    1    4
[2, ]    2    4
[3, ]    3    4
[4, ]    4    4
[5, ]    5    4

R - Data Frames

K

Kanchan_Ray

Improve

Article Tags :

Similar Reads

R Tutorial | Learn R Programming Language

R is an interpreted programming language widely used for statistical computing, data analysis and visualization. R language is open-source with large community support. R provides structured approach to data manipulation, along with decent libraries and packages like Dplyr, Ggplot2, shiny, Janitor a

R Programming Language - Introduction

R was created for statistical analysis and data visualization. It started in the early 1990s when researchers needed a tool that could handle large datasets, run complex computations and display results clearly in graphs and charts. R provides a user-friendly environment and when used with tools lik

R - Data Frames

R Programming Language is an open-source programming language that is widely used as a statistical software and data analysis tool. Data Frames in R Language are generic data objects of R that are used to store tabular data. Data frames can also be interpreted as matrices where each column of a matr

Read contents of a CSV File in R Programming - read.csv() Function

read.csv() function in R Language is used to read "comma separated value" files. It imports data in the form of a data frame. The read.csv() function also accepts a number of optional arguments that we can use to modify the import procedure. we can choose to treat the first row as column names, sele

R Data types are used to specify the kind of data that can be stored in a variable. For effective memory consumption and computation, the right data type must be selected. Each R data type has its own set of regulations and restrictions.Variables are not needed to be declare with a data type in R, d

Getting started with Data Visualization in R

Data visualization is the technique used to deliver insights in data using visual cues such as graphs, charts, maps, and many others. This is useful as it helps in intuitive and easy understanding of the large quantities of data and thereby make better decisions regarding it.Data Visualization in R

apply(), lapply(), sapply(), and tapply() in R

In this article, we will learn about the apply(), lapply(), sapply(), and tapply() functions in the R Programming Language. The apply() collection is a part of R essential package. This family of functions helps us to apply a certain function to a certain data frame, list, or vector and return the r

Functions in R Programming

A function accepts input arguments and produces the output by executing valid R commands that are inside the function. Functions are useful when you want to perform a certain task multiple times. In R Programming Language when you are creating a function the function name and the file in which you a

R-matrix is a two-dimensional arrangement of data in rows and columns. In a matrix, rows are the ones that run horizontally and columns are the ones that run vertically. In R programming, matrices are two-dimensional, homogeneous data structures. These are some examples of matrices:R - MatricesCreat

Bar chartsÂ provideÂ anÂ easyÂ methodÂ ofÂ representingÂ categorical dataÂ inÂ theÂ formÂ ofÂ bars. The length or height of each bar represents the value of the category it represents. In R, bar charts are created using the function barplot(), and it can be applied both for vertical and horizontal charts.Syntax