Because you have some character and numeric data, I recommend storing your data in a data frame instead of a matrix. And storing each variable (height, weight, person) in columns instead of rows.

You don't really need to use apply in this case. But I gave example of BMI calculation with and without an apply() statement.

```
calc_BMI <- function(weight, height) {
vyp <- weight/(height^2)
return(vyp)
}
calc_BMI2 <- function(weight_height) {
# calc BMI from a vector that contains both weight and height as elements 1, 2
# apply() needs a function that accepts one argument
weight <- weight_height[1]
height <- weight_height[2]
vyp <- weight/(height^2)
return(vyp)
}
weight <- c(60,72,57,90,65,72)
height <- c(1.75,1.8,1.65,1.9,1.74,1.91)
id <- c("person1","person2","person3",
"person4","person5","person6")
# this is a better way to store the data
table1 <- data.frame(id, weight, height)
table1$BMI <- calc_BMI(table1$weight, table1$height)
# calc instead with an apply
table1$BMI2 <- apply(table1[, c("weight", "height")], 1, calc_BMI2)
table1
#> id weight height BMI BMI2
#> 1 person1 60 1.75 19.59184 19.59184
#> 2 person2 72 1.80 22.22222 22.22222
#> 3 person3 57 1.65 20.93664 20.93664
#> 4 person4 90 1.90 24.93075 24.93075
#> 5 person5 65 1.74 21.46915 21.46915
#> 6 person6 72 1.91 19.73630 19.73630
```

^{Created on 2021-09-10 by the reprex package (v1.0.0)}