Log of Variability Ratio: Interaction Between Treatment and Time
Usage
time_lnVR(
data,
col_names = c("yi", "vi"),
append = TRUE,
t0_Ctrl_sd,
t1_Ctrl_sd,
Ctrl_n,
Ctrl_cor,
t0_Exp_sd,
t1_Exp_sd,
Exp_n,
Exp_cor
)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- t0_Ctrl_sd
Standard deviation from the control group at time 0
- t1_Ctrl_sd
Standard deviation from the control group at time 1
- Ctrl_n
Sample size of the control group
- Ctrl_cor
Number or numeric vector. Correlation between the means of the control group at t0 and t1
- t0_Exp_sd
Standard deviation from the experimental group at time 0
- t1_Exp_sd
Standard deviation from the experimental group at time 1
- Exp_n
Sample size of the experimental group
- Exp_cor
Number or numeric vector. 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.
Examples
data <- data.frame(
study_id = 1:2,
pre_control_sd = c(2.1, 2.4),
post_control_sd = c(2.2, 2.5),
control_n = c(24, 19),
pre_invaded_sd = c(2.0, 2.3),
post_invaded_sd = c(4.1, 4.6),
invaded_n = c(21, 22)
)
result <- time_lnVR(
data = data,
t0_Ctrl_sd = "pre_control_sd", t1_Ctrl_sd = "post_control_sd",
Ctrl_n = "control_n", Ctrl_cor = 0.6,
t0_Exp_sd = "pre_invaded_sd", t1_Exp_sd = "post_invaded_sd",
Exp_n = "invaded_n", Exp_cor = 0.4
)