Calculate mean of specific columns
In this method, the user has an option to get the mean of the specific column of the given data frame either to get the mean of the complete data frame using the colmean() function with the name of the specific column within it for which mean is to be calculated in the R language.
Syntax:
colMeans(dataframe)
where,
- dataframe is the input dataframe
- columns are the columns to get mean
Example:
In this example, we will be using the colmean() function with the name of the column as its argument to get the mean of that particular column of the data frame in the R language.
R
# create dataframe with three columnsdata=data.frame(col1=c(1,34,56,32,23), col2=c(21,34,56,32,34), col3=c(1:5))# get mean of col2 and col3print(colMeans(data[c('col2', 'col3')])) |
Output:
col2 col3 35.4 3.0
Here, we can also use column numbers to get the mean value using colMeans().
Syntax:
colMeans(dataframe)
where
- col_value_start is the first column index
- col_value_end is the last column index
Example:
R
# create dataframe with three columnsdata=data.frame(col1=c(1,34,56,32,23), col2=c(21,34,56,32,34), col3=c(1:5))# get mean from column1 to column3print(colMeans(data[c(1,3)])) |
Output:
col1 col3 29.2 3.0
How to Use ColMeans Function in R?
In this article, we will discuss how to use the ColMeans function in R Programming Language.
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