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 development version from GitHub:
# install.packages("remotes")
remotes::install_github("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 articles
-
Tracer 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