The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The lrd package provides tools for quickly and
accurately processing the large amounts of lexical response data that
are typically generated from recall tests, while also being able to
control for minor errors in participant responses.
The following steps will install the development version of
lrd. CRAN release coming soon!
Install devtools if you do not have it. This package lets install
packages hosted on GitHub.
install.packages("devtools")
With devtools installed, you can then install lrd by executing
the following:
devtools::install_github("npm27/lrd")
Load the library to get started!
library(lrd)
This package contains four functions for scoring data.
prop_correct_cued() This function can be used to
score cued-recall data.
prop_correct_free() This function can be used to
score data from free recall studies.
prop_correct_multiple() This function can be used to
score data from free recall studies when participants study multiple or
random lists.
prop_correct_sentence() This function can be used to
score sentence recall.
In additionally, arrange_data() can be used to convert
wide format data to long format prior to scoring.
Detailed descriptions of each function are available in the documentation and in the manuscript.
You can also use the Shiny app! For step-by-step instructions on using the Shiny application, see the how-to-guide.
We happily take comments and suggestions. Please email nicholas.maxwell@usm.edu.
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.
Health stats visible at Monitor.