# Load necessary library
library(tibble)
# Create the dataframe
measure <- tibble(
chest = c(34, 36, 37, 36, 38, 34, 38, 33, 38, 36, 43, 37, 40, 34, 38, 36, 40, 38, 41, 35),
waist = c(30, 24, 32, 25, 30, 24, 33, 22, 29, 26, 32, 26, 33, 25, 30, 26, 30, 28, 32, 23),
hips = c(32, 35, 37, 37, 36, 37, 39, 34, 33, 38, 38, 37, 42, 38, 40, 37, 37, 40, 39, 35),
gender = c('male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female', 'male', 'female')
)
# Print the dataframe
print(measure)
## # A tibble: 20 × 4
## chest waist hips gender
## <dbl> <dbl> <dbl> <chr>
## 1 34 30 32 male
## 2 36 24 35 female
## 3 37 32 37 male
## 4 36 25 37 female
## 5 38 30 36 male
## 6 34 24 37 female
## 7 38 33 39 male
## 8 33 22 34 female
## 9 38 29 33 male
## 10 36 26 38 female
## 11 43 32 38 male
## 12 37 26 37 female
## 13 40 33 42 male
## 14 34 25 38 female
## 15 38 30 40 male
## 16 36 26 37 female
## 17 40 30 37 male
## 18 38 28 40 female
## 19 41 32 39 male
## 20 35 23 35 female