lnVR_main: Main Effect: Log of the Variability Ratio

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

Main Effect: Log of the Variability Ratio

Description

Computes the overral log of the variability ratio for Factor A across levels of Factor B.

Usage

lnVR_main(
  data,
  col_names = c("yi", "vi"),
  append = TRUE,
  Ctrl_sd,
  Ctrl_n,
  A_sd,
  A_n,
  B_sd,
  B_n,
  AB_sd,
  AB_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 A treatment
A_n	Sample size from the A treatment
B_sd	Standard deviation from the B treatment
B_n	Sample size from the B treatment
AB_sd	Standard deviation from the interaction AxB treatment
AB_n	Sample size from the interaction AxB 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]

Examples

# Example for main effect in 2x2 factorial focusing on variability (Fire x Grazing)
data <- data.frame(
  study_id = 1:2,
  control_sd = c(2.0, 2.3), control_n = c(20, 18),
  fire_sd = c(2.8, 3.1), fire_n = c(19, 20),
  grazing_sd = c(2.2, 2.5), grazing_n = c(21, 17),
  fire_grazing_sd = c(3.5, 3.8), fire_grazing_n = c(18, 19)
)

result <- lnVR_main(
  data = data,
  Ctrl_sd = "control_sd", Ctrl_n = "control_n",
  A_sd = "fire_sd", A_n = "fire_n",
  B_sd = "grazing_sd", B_n = "grazing_n",
  AB_sd = "fire_grazing_sd", AB_n = "fire_grazing_n"
)

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