Lenth_method: Lenth’s method: testing effect significance for experiments...
In toledo60/OACD: Orthogonal Array Composite Designs
Description
Usage
Arguments
Value
Examples
Description
Lenth’s method: testing effect significance for experiments without variance estimates
Usage
1
Lenth_method(mod, alpha = 0.05)
Arguments
mod
A linear model
alpha
specify the significance level. Default is alpha=0.05
Value
PSE,ME,SME using Lenth's method. Also returns a plot visualizing any factor which is significant using the obtained
values of ME, and SME.
Examples
1
2
3
m1 <- lm(ybar ~ (A+B+C+D)^2,data=AEL_dat)
Lenth_method(m1)
Lenth_method(m1,alpha=0.01)
toledo60/OACD documentation built on Feb. 15, 2021, 2:25 a.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 Value Examples
Description
Lenth’s method: testing effect significance for experiments without variance estimates
Usage
1 | Lenth_method(mod, alpha = 0.05)
|
Arguments
mod |
A linear model |
alpha |
specify the significance level. Default is alpha=0.05 |
Value
PSE,ME,SME using Lenth's method. Also returns a plot visualizing any factor which is significant using the obtained values of ME, and SME.
Examples
1 2 3 | m1 <- lm(ybar ~ (A+B+C+D)^2,data=AEL_dat)
Lenth_method(m1)
Lenth_method(m1,alpha=0.01)
|
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.