To calculate point-biserial correlattion in R, you can use **cor.test()** function. The point-biserial correlation coefficient measures the strength and direction of the association between a continuous variable and a binary variable.

The following method shows how you can do it with syntax.

**Method: Use cor.test() Function**

```
cor.test(vector1,vector2)
```

The following example shows how to calculate point-biserial correlation in R.

## Using cor.test() Function

Let’s see how we can calculate point-biserial correlation using **cor.test()** function.

```
# Create data frame
df <- data.frame(Machine_name=c("A","B","C","D","E","F","G","H"),
Pressure=c(12.39,11.25,12.15,13.48,13.78,12.89,12.21,12.58),
Status=c(1,1,2,1,2,2,1,2))
# Calculate Point-Biserial Correlation
x <- cor.test(df$Pressure,df$Status)
# Display Point-Biserial Correlation
print(x)
```

Output:

```
Pearson's product-moment correlation
data: df$Pressure and df$Status
t = 0.90356, df = 6, p-value = 0.401
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
-0.4742473 0.8447437
sample estimates:
cor
0.3460827
```

Here the output shows Point-Biserial Correlation which calculated using **cor.test()** function.