sem: Standard Error of the Mean
In codybj/codyverse: The Codyverse
sem R Documentation
Standard Error of the Mean
Description
This function returns the standard error of the mean (SEM) of a given numeric vector.The SEM defined as the stadard deviation (SD) divided by the square root of the count of observations. In other words, SD(x)/sqrt(n).
Usage
sem(x)
Arguments
x
Array of which you want to calculate the SEM.
Value
Returns a numeric SEM.
Examples
sem(c(3, 3, 3.5, 4))
sem(iris$Sepal.Length)
codybj/codyverse documentation built on June 12, 2022, 4:15 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| sem | R Documentation |
Standard Error of the Mean
Description
This function returns the standard error of the mean (SEM) of a given numeric vector.The SEM defined as the stadard deviation (SD) divided by the square root of the count of observations. In other words, SD(x)/sqrt(n).
Usage
sem(x)
Arguments
x |
Array of which you want to calculate the SEM. |
Value
Returns a numeric SEM.
Examples
sem(c(3, 3, 3.5, 4)) sem(iris$Sepal.Length)
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.