lnVR_ind: Individual effect: Log of Variability Ratio

In minter: Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments

Individual effect: Log of Variability Ratio

Description

Computes the Log of the Variability Ratio between a Factor A and the Control treatment in factorial experiments.

Usage

lnVR_ind(
  data,
  col_names = c("yi", "vi"),
  append = TRUE,
  Ctrl_sd,
  Ctrl_n,
  A_sd,
  A_n
)

Arguments

data	Data frame containing the variables used.
col_names	Vector of two strings to name the output columns for the effect size and its sampling variance. Default is 'yi' and 'vi'.
append	Logical. Append the results to data. Default is TRUE
Ctrl_sd	Standard deviation from the control treatment
Ctrl_n	Sample size from the control treatment
A_sd	Standard deviation from the treatment
A_n	Sample size from the treatment

Details

See the package vignette for a detailed description of the formula.

Value

A data frame containing the effect sizes and their sampling variance. By default, the columns are named yi (effect size) and vi (sampling variance). If append = TRUE, the results are appended to the input data; otherwise, only the computed effect size columns are returned.

Author(s)

Facundo Decunta - [e-mail]

References

Nakagawa, S., Poulin, R., Mengersen, K., Reinhold, K., Engqvist, L., Lagisz, M., & Senior, A. M. (2015). Meta‐analysis of variation: ecological and evolutionary applications and beyond. Methods in Ecology and Evolution, 6(2), 143-152.

Examples

# Example focusing on variability differences (Herbivory effect)
data <- data.frame(
  study_id = 1:3,
  control_sd = c(2.1, 1.8, 2.5),
  control_n = c(20, 22, 18),
  herbivory_sd = c(3.2, 2.9, 3.8),
  herbivory_n = c(21, 20, 19)
)

result <- lnVR_ind(
  data = data,
  Ctrl_sd = "control_sd",
  Ctrl_n = "control_n",
  A_sd = "herbivory_sd", 
  A_n = "herbivory_n"
)

minter documentation built on May 3, 2026, 5:06 p.m.