beezdemand (version 0.2.0)

ExtraF: ExtraF

Description

Extra Sum of Squares F-test

Usage

ExtraF(
  dat,
  equation = "hs",
  groups = NULL,
  verbose = FALSE,
  k,
  compare = "alpha",
  idcol = "id",
  xcol = "x",
  ycol = "y",
  groupcol = NULL,
  start_alpha = 0.001
)

Value

List of results and models

Arguments

dat

Long form data frame

equation

"hs"

groups

NULL for all. Character vector matching groups in groupcol

verbose

If TRUE, prints all output including models

k

User-defined k value; if missing will attempt to find shared k and then mean emprirical range (in log units)

compare

Specify whether to compare alpha or Q0. Default is alpha

idcol

The column name that should be treated as dataset identifier

xcol

The column name that should be treated as "x" data

ycol

The column name that should be treated as "y" data

groupcol

The column name that should be treated as the groups

start_alpha

Optional numeric to inform starting value for alpha

Author

Brent Kaplan

Details

One alpha better than individual alphas?

Examples

## Compare two groups using equation by Koffarnus et al., 2015 and a fixed k of 2
# \donttest{
apt$group <- NA
apt[apt$id %in% sample(unique(apt$id), length(unique(apt$id))/2), "group"] <- "a"
apt$group[is.na(apt$group)] <- "b"
ExtraF(apt, "koff", k = 2, groupcol = "group")
# }