data_extraction_sheet {metaConvert} | R Documentation |
Data extraction sheet generator
Description
Data extraction sheet generator
Usage
data_extraction_sheet(
measure = c("d", "g", "md", "or", "rr", "nnt", "r", "z", "logvr", "logcvr", "irr"),
type_of_measure = c("natural+converted", "natural"),
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) |
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"
.
Value
This function returns a data extraction sheet that contains all the information necessary to estimate any effect size using the metaConvert tools.
Examples
data_extraction_sheet(measure = "md", extension = "data.frame")