How to Replace NA values with Column Mean
impute with mean values
replace NA
One of the ways to deal with missing values (or NAs) is to replace them with mean values (under certain assumptions). The process is called imputation. In this tutorial, we will learn how to replace missing values (NAs) with column mean. First we will create some data with missing values and then show how to replace NAs with column mean values in a matrix. And then we will show to how to replace NAs with mean column values in a data frame.
Create a Matrix/Dataframe with NAs
Let us use sample() function to create some data with missing values - NAs.
set.seed(2020)
data [How to Replace NAs with Column mean using tidyverse](https://rstats101.com/replace-nas-with-column_mean-using-tidyverse/)
Have not timed it, but for much larger dataframes, tidyverse approach might be slower than the base R approach.
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---
title: "How to Replace NA values with Column Mean"
date: 2022-01-14
categories: ['impute with mean values', 'replace NA']
format:
html:
code-fold: false
code-tools: true
---
One of the ways to deal with missing values (or NAs) is to replace them with mean values (under certain assumptions). The process is called imputation. In this tutorial, we will learn how to replace missing values (NAs) with column mean. First we will create some data with missing values and then show how to replace NAs with column mean values in a matrix. And then we will show to how to replace NAs with mean column values in a data frame.
### Create a Matrix/Dataframe with NAs
Let us use sample() function to create some data with missing values - NAs.
```r
set.seed(2020)
data [How to Replace NAs with Column mean using tidyverse](https://rstats101.com/replace-nas-with-column_mean-using-tidyverse/)
Have not timed it, but for much larger dataframes, tidyverse approach might be slower than the base R approach.:::