# Complete Cases in R with Examples

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Complete cases in R, To eliminate missing values from a vector, matrix, or data frame, use the complete.cases() function in R.

The following is the fundamental syntax for this function.

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You can delete any values that are missing from the vector

vector <- x[complete.cases(x)]

In any column in the data frame, remove rows with missing values.

df <- df[complete.cases(df), ]

Now, in certain columns of the data frame, eliminate entries with NA.

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df <- df[complete.cases(df[ , c('col1', 'col2', ...)]), ]

## Complete Cases in R with Examples

The examples below demonstrate how to utilize this function in practice.

### Approach 1: Remove any values that are missing from the vector.

To delete all NA values from a vector, use the following code,

vect <- c(5, 3, 4,5, NA, 64, 25, NA, 19)

We can now delete the NA values from the vector.

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vect <- vect [complete.cases(vect)] vect [1] 5 3 4 5 64 25 19

### Approach 2: Rows having NA in any column of the data frame should be removed.

The following code explains how to remove rows from a data frame that have NA values in any column,

Let’s create a data frame,

df <- data.frame(A=c(10, 2, NA, 16, NA, 23), B=c(NA, 45, 45, 12, NA, 18), C=c(NA, 45, 12, 5, 18, 22)) df A B C 1 10 NA NA 2 2 45 45 3 NA 45 12 4 16 12 5 5 NA NA 18 6 23 18 22

In any column data frame, eliminate rows with a NA value.

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df <- df[complete.cases(df), ] df

### Approach 3: Rows containing NA in specific columns of a data frame should be removed.

The following code explains how to remove rows from a data frame that have NA values in certain columns,

df <- data.frame(A=c(10, 2, NA, 16, NA, 23), B=c(NA, 45, 45, 12, NA, 18), C=c(NA, 45, 12, 5, 18, 22)) df x y z 1 1 NA NA 2 24 3 7 3 NA 4 5 4 6 8 15 5 NA NA 7 6 9 12 14

Rows with a NA value in the A or B column should be removed.

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df <- df[complete.cases(df[ , c('A', 'B')]), ]df A B C 2 2 45 45 4 16 12 5 6 23 18 22

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