Log Coefficient Of Variation Ratio (lnCVR)

Usage

lnCVR(
  type,
  data,
  col_names = c("yi", "vi"),
  append = TRUE,
  Ctrl_mean,
  Ctrl_sd,
  Ctrl_n,
  A_mean,
  A_sd,
  A_n,
  B_mean = NULL,
  B_sd = NULL,
  B_n = NULL,
  AB_mean = NULL,
  AB_sd = NULL,
  AB_n = NULL
)

Arguments

type: Type of effect size: "ind", "main", or "inter"
data: Data frame with the data
col_names: Vector of two strings to name the output columns for the effect size and it's sampling variance. Default is 'yi' and 'vi'.
append: Logical. Append the results to data. Default is TRUE
Ctrl_mean: Mean outcome from the Control treatment
Ctrl_sd: Standard deviation from the control treatment
Ctrl_n: Sample size from the control streatment
A_mean: Mean outcome from the treatment
A_sd: Standard deviation from the treatment
A_n: Sample size from the treatment
B_mean: Mean outcome from the B treatment
B_sd: Standard deviation from the B treatment
B_n: Sample size from the B treatment
AB_mean: Mean outcome from the interaction AxB treatment
AB_sd: Standard deviation from the interaction AxB treatment
AB_n: Sample size from the interaction AxB treatment

Author

Facundo Decunta - fdecunta@agro.uba.ar