| Title: | Variability Independent of Mean |
|---|---|
| Description: | To computed the variability independent of mean (VIM) or variation independent of mean (VIM). The methodology can be found at Peter M Rothwell et al. (2010) <doi:10.1016/S1474-4422(10)70067-3>. |
| Authors: | Zhicheng Du |
| Maintainer: | Zhicheng Du <[email protected]> |
| License: | GPL-3 |
| Version: | 0.1.0 |
| Built: | 2024-11-17 03:08:26 UTC |
| Source: | https://github.com/cran/VIMean |
Please feel free to contact us, if you have any advice and find any bug!
Version History:
Version 0.1.0: The first version.
VIM(data,id,repeat.vars)VIM(data,id,repeat.vars)
data |
a width type data frame |
id |
the name of variable indicating the subjects, e.g., "ID" |
repeat.vars |
the name of variables indicating the repeated measurement data, e.g., c("x1","x2","x3") |
vim |
the VIM of each subject |
coef |
the coefficients fitted from the regression of "sntd ~ k*avg^p" |
r.squared, adj.r.squared
|
the r-squared and adjusted r-squared of the regression |
set.seed(123) df <- data.frame( "ID" = paste("ID", seq(1,100,1), sep = ""), "x1" = sample(90:220, size = 100, replace = TRUE), "x2" = sample(90:220, size = 100, replace = TRUE), "x3" = sample(90:220, size = 100, replace = TRUE), "x4" = sample(90:220, size = 100, replace = TRUE), "x5" = sample(90:220, size = 100, replace = TRUE)) rst <- VIM(data=df,id="ID",repeat.vars=paste0("x",1:5))set.seed(123) df <- data.frame( "ID" = paste("ID", seq(1,100,1), sep = ""), "x1" = sample(90:220, size = 100, replace = TRUE), "x2" = sample(90:220, size = 100, replace = TRUE), "x3" = sample(90:220, size = 100, replace = TRUE), "x4" = sample(90:220, size = 100, replace = TRUE), "x5" = sample(90:220, size = 100, replace = TRUE)) rst <- VIM(data=df,id="ID",repeat.vars=paste0("x",1:5))