Replacing missing values with mean in R. Replace NA with mean values. Replacing Missing Values In R with column mean. Replacing NA values with different values in Data Frames. Missing data - Filling NAs in a dataset with column medians in R

1. Replacing Missing Values
With mean
Sarith Divakar M
Research Scholar, CUSAT
sarith@cusat.ac.in

2. Sample DataSet
X id y time sec
1 1 1 1
2 1 2 6 1
3 1 2 12
4 1 2 24 1
5 2 1 1
6 2 2 6
7 2 2 12 1
8 2 1 24 1
9 3 0 1
10 3 2 6 1
11 3 2 12 1
12 3 2 24
13 4 1 1

3. Import DataSet in R Studio

4. Imported DataSet- NA for missing Values

5. Replaced time with mean of the column

6. Detailed Steps
1. Read DataSet
samplehousing <- read.csv("~/Desktop/samplehousing.csv")
2. View DataSet
view(samplehousing)
3. Replace missing values in time column with mean
samplehousing$time[is.na(samplehousing$time)] <- mean(samplehousing$time, na.rm = TRUE)
4. Replace missing values in time column with mean
samplehousing$sec[is.na(samplehousing$sec)] <- mean(samplehousing$sec, na.rm = TRUE)

7. References
• DataSet:
https://vincentarelbundock.github.io/Rdatasets/datasets.html