I'm would like to use pcaMethods to imput missing values. From the documentation each possible method is associated with a % of missing values they are robust to:
SVDimpute seems to be tolerant to relatively high amount of missing data (>10%)
How is this supposed to be interpreted:
- Max 15 % of the entire matrix?
- Max 15 % in each row?
- Max 15 % in each column?