rnorm() converted to daily
Ken-JP:
Does this have something to do with biases due to the relationship between population and sample-estimates as a function of n samples and sd? Or am I doing something wrong? ----------------------------------------------------------------------- set.seed( 1 ); x <- mean( rnorm( 100000, mean=0.08, sd=0.25 )); set.seed( 1 ); y <- mean( rnorm( 100000, mean=(0.08/252), sd=(0.25/sqrt(252)) )) * 252; set.seed( 1 ); z <- mean( rnorm( 100000, mean=(0.08/252), sd=0.001 )) * 252;
Yes, you?re doing something wrong. While it is true? that rnorm(n, a, b) will give the same results as rnorm(n, 0, 1) * b + a, it is *not* true that the above calculations would return the same numbers. That?s the reason the the means differ. ? True in practice, but not documented as far as I can see, so you should not depend on it.
Karl Ove Hufthammer