data_extraction_sheet function

Data extraction sheet generator

data_extraction_sheet(
  measure = c("d", "g", "md", "or", "rr", "nnt", "r", "z", "logvr", "logcvr", "irr"),
  type_of_measure = c("natural", "natural+converted"),
  name = "mcv_data_extraction",
  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 data extraction sheet that contains all the information necessary to estimate any effect size using the metaConvert tools.

Details

This function generates, on your computer, a data extraction sheet that contains the name of columns that can be used by our tools to estimate various effect size measures.

If you select a specific measure (e.g., measure = "g"), you will be presented only with most common information allowing to estimate this measure (e.g., you will not be provided with columns for contigency tables if you request a data extraction sheet for measure = "g").

Measure

You can specify a specific effect size measures (among those available in the metaConvert-package). Doing this, the data extraction sheet will contain only the columns of the input data allowing a natural estimation of the effect size measure . For example, if you request measure="d" the data extraction sheet will not contain the columns for the contingency table since, although the convert_df

function allows you to convert a contingency table into a "d", this requires to convert the "OR" that is naturally estimated from the contingency table into a "d".

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)

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 = "data.frame".

Examples

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