Calculate the relative normalized error or deviation from any
value to an accepted value. An error of 0 indicates that the
two values are identical. An error of -0.1 indicates that the
experimental value is 10% smaller than (90% of) the accepted
value. An error of 1.0 indicates that the experimental value
is 100% greater (or twice the size) of the accepted value.
Calculate the relative normalized error or deviation from any value to an accepted value. An error of 0 indicates that the two values are identical. An error of -0.1 indicates that the experimental value is 10% smaller than (90% of) the accepted value. An error of 1.0 indicates that the experimental value is 100% greater (or twice the size) of the accepted value.