How is the following:
dataset <- c(5, 10, -20, 42, -9, 10) ten_percent <- quantile(dataset, 0.10)
ten_percentnow holds the value
I thought 10th quantile means the value that 1/10 of the values are below. since there are only 6 values in this dataset, the first value which is -20 is already 1/6 of the values which is more than 1/10, so the 10th quantile would either be -20 itself or the first value above it which is -9, I don’t understand how the average of the two smallest values is relevant?