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VIMean (version 0.1.0)

VIM: variability independent of mean (VIM)

Description

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Version History:

Version 0.1.0: The first version.

Usage

VIM(data,id,repeat.vars)

Value

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

Arguments

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")

Examples

Run this code
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))

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