popsd: Calculate the population standard deviation of x Usage...
In drknexus/repsych: Package for reproducible psychological research
Description
Usage
Arguments
Note
Author(s)
Description
Calculate the population standard deviation of x
Usage
popsd(x)
Usage
1
popsd(x, nomiss = 0.8)
Arguments
x
A numeric vector
nomiss
A numeric vector specifying the proporiton of valid cases in x
(i.e. data that must not be NA) for the sd to be returned
Note
R's built-in sd function divides the sum of the squared deviations
from the mean by the number of observations minus 1 (N-1). However,
there are times where one would prefer to use the formula with N
in the denominator (e.g. if one is working with the entire population
of scores). This function does just that.
Author(s)
Borrowed from Ryne Sherman on 2012/09/06
drknexus/repsych documentation built on May 15, 2019, 2:19 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Note Author(s)
Description
Calculate the population standard deviation of x Usage popsd(x)
Usage
1 | popsd(x, nomiss = 0.8)
|
Arguments
x |
A numeric vector |
nomiss |
A numeric vector specifying the proporiton of valid cases in x (i.e. data that must not be NA) for the sd to be returned |
Note
R's built-in sd function divides the sum of the squared deviations from the mean by the number of observations minus 1 (N-1). However, there are times where one would prefer to use the formula with N in the denominator (e.g. if one is working with the entire population of scores). This function does just that.
Author(s)
Borrowed from Ryne Sherman on 2012/09/06
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.