dot-time_interaction_lnCVR: Log Coefficient of Variation Ratio: Interaction Between...

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

Log Coefficient of Variation Ratio: Interaction Between Experimental Treatment and Time

Description

Log Coefficient of Variation Ratio: Interaction Between Experimental Treatment and Time

Usage

.time_interaction_lnCVR(
  t0_Ctrl_mean,
  t0_Ctrl_sd,
  t1_Ctrl_mean,
  t1_Ctrl_sd,
  Ctrl_n,
  Ctrl_cor,
  t0_Exp_mean,
  t0_Exp_sd,
  t1_Exp_mean,
  t1_Exp_sd,
  Exp_n,
  Exp_cor
)

Arguments

t0_Ctrl_mean	Sample mean from the control group at time 0
t0_Ctrl_sd	Standard deviation from the control group at time 0
t1_Ctrl_mean	Sample mean from the control group at time 1
t1_Ctrl_sd	Standard deviation from the control group at time 1
Ctrl_n	Sample size of the control group
Ctrl_cor	Correlation between the means of the control group at t0 and t1
t0_Exp_mean	Sample mean from the experimental group at time 0
t0_Exp_sd	Standard deviation from the experimental group at time 0
t1_Exp_mean	Sample mean from the experimental group at time 1
t1_Exp_sd	Standard deviation from the experimental group at time 1
Exp_n	Sample size of the experimental group
Exp_cor	Correlation between the means of the experimental group at t0 and t1

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.

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