rsd {math} R Documentation

relative standard deviation

Description


Relative standard deviation is a common formula
used in statistics and probability theory to determine
a standardized measure of the ratio of the standard
deviation to the mean. This formula is useful in
various situations including when comparing your
own data to other related data and in financial
settings such as the stock market.

Relative standard deviation, which also may be referred
to as RSD or the coefficient of variation, is used
to determine if the standard deviation of a set of
data is small or large when compared to the mean.
In other words, the relative standard deviation can
tell you how precise the average of your results is.
This formula is most frequently used in chemistry,
statistics and other math-related settings but can
also be used in the business world when assessing
finances and the stock market.

The relative standard deviation Of a Set Of data can be
depicted As either a percentage Or As a number. The
higher the relative standard deviation, the more spread
out the results are from the mean Of the data. On the
other hand, a lower relative standard deviation means
that the measurement Of data Is more precise.

Usage

rsd(x);

Arguments

x

-

Details

Authors

SMRUCC genomics Institute

Value

this function returns data object of type double.

clr value class

Examples


[Package math version 2.33.856.6961 Index]