The rbind() function represents a row bind function for vectors, data frames, and matrices to be arranged as rows. It is used to combine multiple data frames for data manipulation.
There are three ways to bind rows using rbind(), shown in code snippets below.
# Signaturerbind(input_data, data_to_bind)
It takes the following argument values.
input_data: This is the input data.data_to_bind: This is the data that will be bounded.It returns a combined vector, DataFrame, matrix, or other DataType values. The return values also depend upon input_data.
Let's discuss some coding examples related to rbind(). It's used to bind rows and columns to combine different vectors, data frames, or matrices.
# Assigning two vectorsx <- 1:12y <- c(2, 11, 3)# Calling rbind() functionrbind(x, y)
rbind() function to bind the x and y vectors. It can also be used to combine and convert DataFrames, vectors, and matrices. Given below are a few examples of it.
rbind() can be used to convert vectors to a DataFrame. Here's an example.
# creating vectors using c() functionx1 <- c(7, 6, 4, 9)x2 <- c(5, 2, 7, 9)x3 <- c(11, 2, 5, 4)# creating a DataFrame with above# generated vectorsdata <- data.frame(x1, x2, x3)# a new vector to bindmyVector <- c(9, 6, 7)# implementing the rbind functionrbind(data, myVector)
x1, x2, and x3 data frames on random values.data.rbind() that takes a data frame data as its first argument and myVector as its second argument to combine.rbind() function combines similar data types as well. In the code snippet below, we are going to bind two data frames data1 and data2.
# create vectors using c() functiona1 <- c(7, 1)a2 <- c(4, 1)a3 <- c(4, 3)# create a DataFrame data1data1 <- data.frame(a1, a2, a3)# Create another DataFrame data2data2 <- data.frame(a1, a2, a3)# combining data1 and data2 DataFramesrbind(data1, data2)
data1 and data2 to hold the data.rbind() function to bind the created DataFrames.