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This package provides an exclusion table in R with which you can
keeping track of inclusion and exclusion criteria that you apply to your
datasets. Using the exclusion_table()
function you can
obtain a table listing the number of excluded observation for each
inclusion and exclusion criteria. Additionally, if you use the option
keep_data == TRUE
you can also obtain the dataset without
the excluded observations.
This is a quick example to illustrate what
ExclusionTable
offers. We will use the
penguins
dataset included in the
{palmerpenguins}
package for the example. So make sure you
install the package before running the example below.
# Load Penguine dataset
library(palmerpenguins)
# Apply some exclusions
exclusion_table(penguins,
exclusion_criteria = c("year == 2007",
"sex == 'male'",
"bill_length_mm <= 40 &
!is.na(bill_length_mm)"),
labels_exclusion = c("Measured in 2007",
"Males",
"Bill length <= 40mm"))
The code above produces the following table, which offers a nice overview of the number of observations that were removed from the dataset for each exclusion criteria.
================================================
Excluded the following observations:
================================================
Exclusions based on EXCLUSION criteria
exclusion n_prior n_post n_excluded
1 Measured in 2007 344 234 110
2 Males 234 114 120
3 Bill length <= 40mm 114 66 48
4 TOTAL 344 66 278
================================================
Please take a look at the vigniett
on my website for more information on how to use the
{ExclusionTable}
package.
You can download the latest release of this package from CRAN using
install.packages(ExclusionTable)
or the latest development
version using {remotes}
.
remotes::install_github("entjos/ExclusionTable")
library(ExclusionTable)
If you find any bugs or have any suggestions please don’t hesitate to file an issue on GitHub or contact me via my website, Twitter or email.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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