Package: binomialtrend 0.0.0.3
Matthew Cserhati
binomialtrend: Calculates the Statistical Significance of a Trend in a Set of Measurements
Detection of a statistically significant trend in the data provided by the user. This is based on the a signed test based on the binomial distribution. The package returns a trend test value, T, and also a p-value. A T value close to 1 indicates a rising trend, whereas a T value close to -1 indicates a decreasing trend. A T value close to 0 indicates no trend. There is also a command to visualize the trend. A test data set called gtsa_data is also available, which has global mean temperatures for January, April, July, and October for the years 1851 to 2022. Reference: Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).
Authors:
binomialtrend_0.0.0.3.tar.gz
binomialtrend_0.0.0.3.tar.gz(r-4.5-noble)binomialtrend_0.0.0.3.tar.gz(r-4.4-noble)
binomialtrend_0.0.0.3.tgz(r-4.4-emscripten)binomialtrend_0.0.0.3.tgz(r-4.3-emscripten)
binomialtrend.pdf |binomialtrend.html✨
binomialtrend/json (API)
| # Install 'binomialtrend' in R: |
| install.packages('binomialtrend', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- gsta_data - CRUTEM World Mean Temperature Data Set from 1851 to 2022
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:330d287697. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | OK | Dec 08 2024 |
Exports:binomialtrendtrendmap
Dependencies:clicolorspacefarvergluegtablelabelinglifecyclemunsellpheatmapR6RColorBrewerrlangscalesviridisLite
