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The CSwR package is a companion to the book Computational Statistics with R available at cswr.nrhstat.org. It provides data and utility functions used throughout the book for teaching computational statistics concepts.
You can install the latest version from CRAN with:
install.packages("CSwR")Or install the development version from GitHub with:
# install.packages("pak")
pak::pak("jolars/CSwR-Package")The package includes:
Datasets: Five datasets used in examples throughout the book:
greenland - Monthly temperature data from southwest
Greenland (1873-2013)nuuk - Annual temperature summaries for Nuuk
(1867-2013)vegetables - Weekly frozen vegetable sales dataangle - Torsion angles from protein structure
(1HMP)news - Social media news sharing features from Mashable
articlesTracer objects (tracer()) -
Collect, print, and visualize trace information during function
evaluation for debugging and performance analysis
Terminator objects (terminator()) -
Define termination conditions for iterative algorithms with callback
support
Random number streams
(rng_stream()) - Efficient cached random number
generation
Force evaluation (force_all()) -
Utility to force evaluation of all function arguments and avoid lazy
evaluation pitfalls
Plotter expressions (plotter()) -
Create expressions for iterative plot updates during long-running
computations
library(CSwR)
# Load and explore datasets
data(greenland)
head(greenland) Year Month Temp_nuuk Temp_Qaqortoq Temp_diff
1 1873 1 -12.1 -9.9 -2.2
2 1874 1 -13.1 -11.6 -1.5
3 1875 1 -6.6 -6.3 -0.3
4 1876 1 -11.1 -8.3 -2.8
5 1877 1 -14.5 -8.8 -5.7
6 1878 1 -7.7 -6.8 -0.9
# Create a tracer for monitoring algorithm progress
tr <- tracer(c("x", "residual"), time = TRUE)
# Use tr$tracer as a callback in your iterative function
# Set up a terminator with a convergence condition
term <- terminator(cond = quote(residual < 1e-6), Delta = 10)
# Returns TRUE when condition is metFor detailed documentation and examples, visit the package website or see the book at cswr.nrhstat.org.
MIT 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.
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