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:Matthew Cserhati [aut, cre]

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)

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Last updated 2 years agofrom:330d287697. Checks:OK: 2. Indexed: yes.

Exports:binomialtrendtrendmap

Dependencies:clicolorspacefarvergluegtablelabelinglifecyclemunsellpheatmapR6RColorBrewerrlangscalesviridisLite