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Method for Counting TRUE Values in a Logical Vector The following techniques can be used to determine how many TRUE values are present in a logical vector in R:

Method 1: Use sum()

Method 2: Use summary()

The following examples demonstrate each technique in action.

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Example 1: Count TRUE values with sum()

The number of TRUE values in a logical vector can be counted using sum() as seen in the code below:

Now we can create a logical vector.

x <- c (true, false, false, true, false, false, not applicable, not applicable)

Count the TRUE values in the vector.

sum(x, na.rm=TRUE)

[1] 2

We can see from the result that the vector has 2 TRUE values.

The function will return NA if the vector contains NA values and the na.rm=TRUE argument is not used.

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Example 2: Count the correct values using summary()

How to use summation() to count the number of TRUE, FALSE and NA values in a logical vector is demonstrated in the code below:

Now we can develop a logical vector.

x <- c (no, false, false, true, false, false, not applicable, true)

Now we can create a count of TRUE, FALSE and NA values in the vector

Logical 4 2 2 of Summary (x) Mode FALSE TRUE NA

The output reveals the following:

The vector has 4 FALSE values.

The vector has two TRUE values.

The vector contains two NA values.

If you want to know how many times each type of value appears in a logical vector, the summary() function is very helpful.

The following syntax can be used to return the number of TRUE values from the summary() function:

Let’s count the TRUE value in the vector

Summary (x)[‘TRUE’]

true 2

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The POST method for calculating TRUE values in a logical vector first appeared on finnstats.

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