see_input_data function

Overview of effect size measures generated from each type of input data

see_input_data(
  measure = c("all", "d", "g", "md", "or", "rr", "nnt", "r", "z", "logvr", "logcvr",
    "irr"),
  type_of_measure = c("natural", "natural+converted"),
  name = "mcv_input_data",
  extension = c("data.frame", ".txt", ".csv", ".xlsx"),
  verbose = TRUE
)

Arguments

• measure: Target effect size measure (one of the 11 available in metaConvert). Default is "all".
• type_of_measure: One of "natural+converted" or "natural" (see details).
• name: Name of the file created
• extension: Extension of the file created. Most common are ".xlsx", ".csv" or ".txt". It is also possible to generate an R dataframe object by using the "data.frame" extension.
• verbose: logical variable indicating whether some information should be printed (e.g., the location where the sheet is created when using ".xlsx", ".csv" or ".txt" extensions)

Returns

This function returns a table dataset presenting the input data enabling to compute each effect size measure.

Details

This function generates, on your computer on in the console, a dataset showing each effect size measure computed from each type of input data. The exact combination and names of input data required are available in the links.

The measure argument allows to filter the dataset created. Only the input data allowing to estimate the selected effect size measure will be shown. Default is "all". The type_of_measure argument allows to filter the dataset created.

• If "natural+converted" is selected, the dataset will contain all input data allowing to naturally estimate and to convert the selected effect size measure
• If "natural" is selected, the dataset will contain all input data allowing to naturally estimate the selected effect size measure

Extension

You can export a file in various formats outside R (by indicating, for example, ".txt", ".xlsx", or ".csv") in the extension argument. You can also visualise this dataset directly in R by setting extension = "R".

This table is designed to be used in combination with tables showing the combination of input data leading to estimate each of the effect size measures (https://metaconvert.org/html/input.html)

Examples

see_input_data(measure = "md", extension = "data.frame")