Calculate the Mean of each Row of an Object in R Programming – rowMeans() Function

Calculate Arithmetic mean in R Programming - mean() Function

Last Updated : 05 Jun, 2020

mean() function in R Language is used to calculate the arithmetic mean of the elements of the numeric vector passed to it as argument.

Syntax: mean(x, na.rm) Parameters: x: Numeric Vector na.rm: Boolean value to ignore NA value

Example 1:

Python3 1==

# R program to calculate
# Arithmetic mean of a vector

# Creating a numeric vector
x1 <- c(1, 2, 3, 4, 5, 6)
x2 <-c(1.2, 2.3, 3.4, 4.5)
x3 <- c(-1, -2, -3, -4, -5, -6)

# Calling mean() function
mean(x1)
mean(x2)
mean(x3)

Output:

[1] 3.5
[1] 2.85
[1] -3.5

Example 2:

Python3 1==

# R program to calculate
# Arithmetic mean of a vector

# Creating a numeric vector
x1 <- c(1, 2, 3, NA, 5, NA, NA)

# Calling mean() function
# including NA values
mean(x1, na.rm = FALSE)

# Calling mean() function
# excluding NA values
mean(x1, na.rm = TRUE)

Output:

[1] NA
[1] 2.75

Calculate the Mean of each Row of an Object in R Programming – rowMeans() Function

N

nidhi_biet

Improve

Article Tags :

Similar Reads

Calculate the Median Absolute Deviation in R Programming - mad() Function

The Median Absolute Deviation is calculated in R Language using the mad() function. It is a statistical measurement of a dataset's dispersion or variability. Because it is resistant to outliers and extreme values, the MAD can serve as a robust alternative to standard deviation.The Median Absolute De

Calculate the Weighted Mean in R Programming - weighted.mean() Function

weighted.mean() function in R Language is used to compute the weighted arithmetic mean of input vector values. Syntax: weighted.mean(x, weights) Parameters: x: data input vector weights: It is weight of input data. Returns: weighted mean of given values Example 1: r # Create example data x1 <- c(

Calculate Median of elements of a Vector in R Programming - median() Function

median() function in R Language is used to calculate the median of the elements of the numeric vector passed as argument. Syntax: median(x, na.rm) Parameters: x: Numeric Vector na.rm: Boolean value to ignore NA Example 1: Python3 1== # R program to calculate median of a vector # Creating vector x1

Calculate the Mean of each Row of an Object in R Programming â€“ rowMeans() Function

rowMeans() function in R Language is used to find out the mean of each row of a data frame, matrix, or array. Syntax: rowMeans(data) Parameter: data: data frame, array, or matrix Example 1 Python3 1== # R program to illustrate # rowMean function # Create example values # Set seed set.seed(1234) # Cr

Calculate the Mean of each Column of a Matrix or Array in R Programming - colMeans() Function

colMeans() function in R Language is used to compute the mean of each column of a matrix or array. Syntax: colMeans(x, dims = 1) Parameters: x: array of two or more dimensions, containing numeric, complex, integer or logical values, or a numeric data frame dims: integer value, which dimensions are r

Mean, Median and Mode in R Programming

Statistical measures like mean, median, and mode are essential for summarizing and understanding the central tendency of a dataset. In R, these measures can be calculated easily using built-in functions. This article will provide a comprehensive guide on how to calculate mean, median, and mode in 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

Scale the Columns of a Matrix in R Programming - scale() Function

The scale() function in R is used to center and/or scale the columns of a numeric matrix. It helps standardize data by transforming it to have a mean of 0 and standard deviation of 1 .Syntax scale(x, center = TRUE, scale = TRUE) Parameters: x: represents numeric matrix .center: represents either log

Comparing Means in R Programming

There are many cases in data analysis where youâ€™ll want to compare means for two populations or samples and which technique you should use depends on what type of data you have and how that data is grouped together. The comparison of means tests helps to determine if your groups have similar means.

How to Calculate a Trimmed Mean in R?

In this article, we will discuss how to calculate trimmed mean in R Programming Language. A trimmed mean is the mean of the given data that is calculated after removing a specific percentage of the smallest and largest number from the given data. Example: Given a set of elements- [3,4,5,2,8,7,6,9,10