What is the median() method in R?
In R, the median() method is used to find the median of the sample data, with the assumption that the dataset or sample data is sorted from smallest to largest.
- Odd length: if the number of entries in the dataset is odd, then the middle value will be the median.
- Even length: if the number of entries in the dataset is even, then the median will be the average of two middle values.
Syntax
The syntax for the median() function to calculate the middle value of the vector x is as follows:
median(x, na.rm = FALSE,...)
Parameters
x: vector of numerical values.na.rm: default=False.na.rmis a boolean field that can either beTrueorFalse. If it is set toFalse, the dataset does not containNAvalues. Otherwise, we can set it toTrue....: further potential arguments for methods.
Return value
- Object: The default method will return a one-length object of the same type as
x. - Double integer: If
xis an even-length integer, the return type will be double. - NA: If a dataset contains NA values and
na.rmis set toFalse.
Code
The code snippet below illustrates how the median() method works with a single argument. It takes x to compute the median of these values.
# Create the vector.x <- c(1,2,3,4,5.3,6,7,8,9,13,11)# Find the median.mid_value <- median(x)cat("Median is:", mid_value)
In the example below, the median() method takes a vector x and na.rm set to TRUE. median() will first eliminate NA values and then it will compute the median of the remaining values.
# Create the vector.x <- c(1,2,3,4,5.3,6,7,8,9,NA,13,11)# Find the median.mid_value <- median(x,na.rm=TRUE)print(mid_value)
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