Select Only Numeric Columns from DataFrame in R
Last Updated :
19 Nov, 2022
In this article, we will discuss how to select only numeric columns from dataframe in R Programming Language.
We can use select_if() function to get numeric columns by calling the function with the dataframe name and isnumeric() function that will check for numeric columns.
Syntax:
select_if(dataframe, is.numeric)
where,
- dataframe is the input dataframe
- is.numeric is used to get the numeric columns
Example: R program to get numeric columns from dataframe using dplyr
R
library("dplyr")
data=data.frame("webtechnologies"=c("php","html","js"),
marks=c(98,89,90),
age=c(12,23,21),
name=c("bobby","ojaswi","ramya"))
print(select_if(data, is.numeric))
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Output:
Example: R program to get numeric columns from dataframe using dplyr
R
library("dplyr")
data=data.frame(id=c(1,2,3),
marks=c(98,89,90),
age=c(12,23,21),
name=c("bobby","ojaswi","ramya"))
print(select_if(data, is.numeric))
|
Output:
we will use lapply() function to get the numeric columns. Here, lapply() function is called with unlist() and the dataframe name and isnumeric() function are passed to it as parameters.
Syntax:
unlist(lapply(dataframe, is.numeric))
where,
- dataframe is the input dataframe
- is.numeric is used to check each dataframe column is numeric or not
- unlist function is used to unlist the dataframe
Finally, pass this lapply() to the dataframe index
Syntax:
dataframe[,unlist(lapply(data, is.numeric))]
Where, dataframe is the input dataframe
Example: R program to get numeric columns from dataframe using base R
R
data=data.frame(id=c(1,2,3),
marks=c(98,89,90),
age=c(12,23,21),
name=c("bobby","ojaswi","ramya"))
print(data[,unlist(lapply(data, is.numeric))])
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Output:
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