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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
pacakge, 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 suceeds, then tha
tdata 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 cahced value
matches the result of load.fcn
and tells you if there is a
difference.
This package is not yet on CRAN.
# 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.
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.