This R package allows you to easily share (small) data sets directly in an R Notebook or other R code.
If you had a CSV file on your computer called country_pop.csv
that you used
in your analysis, you'd have to send it along with your code in order for the
recipient to be able to re-run your analysis. However, with the rde
package,
you can embed the data directly in your code. The code with the embedded data
would look like the following.
library(rde)
pop.data <- load_rde_var(
use.cache = FALSE,
load.fcn = {
fname <- system.file("extdata", "country_pop.csv", package = "rde")
read.csv(fname, stringsAsFactors = FALSE)
},
cache = "
rde1QlpoOTFBWSZTWQy+/kYAAIB3/v//6EJABRg/WlQv797wYkAAAMQiABBAACAAAZGwANk0RTKejU9T
RoBoGgGjTRoBoGgaGymE0Kp+qemmkDNQ0YmJk0AA0xNADQNPUaA0JRhDTJoANAAAAAAAAEJx2Eja7QBK
MKPPkRAx63wSAWt31AABs1zauhwHifs5WlltyIyQKAAAZEAZGQYMIZEA6ZAPHVMEB71jSCqdlsiR/eSY
kzQkRq5RoXgvNNZnB5RSOvKaTGFtc/SXc74AhzqhMEJvdisEGVfo7UYngc0AwGqTvTHx8CBZTzE9OQZZ
VY8KAhHAhrG4RCeilM0rXKkdpjGqyNgJwAkmnPQOMYrLlQ4YTIv0WyxfYdkd9WSWUsvggC/i7kinChIB
l9/IwA==
"
)
When the code above is run, load_rde_var
will first try to run the code in load.fcn
.
If this succeeds, then that data is returned. Otherwise, it loads the data from the
encoded string given in the argument cache
. If you send your code to someone else
and don't send them the data files, when the run the code, they will be getting the
data from the encoded version that is located directly in your code.
The encoded version of the data is easily produced by the function copy_rde_var
.
Additionally, load_rde_var
checks that the cached value matches the result of
load.fcn
and tells you if there is a difference.
Install from CRAN:
install.packages("rde")
Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("kloppen/rde")
For more information about how to use this package, please see the tutorial, which can be accessed by running one of the following R commands:
RShowDoc("rde_tutorial", package = "rde")
# or, alternatively
vignette("rde_tutorial")
Contributions to this package are welcome. Please feel free to discuss a feature that you think should be added in the Issues page on GitHub. Feel free to submit a Pull Request too. If you submit code, please make sure that it is tested.
If you discover a bug in this package, please report it by creating an Issue on GitHub. Please include a reproducible example and also include information on which version of R you are running and which version of each applicable package you have installed.
This package is released under the GPL Version 3 license.