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