Package: binomialtrend 0.0.0.3

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.zip(r-4.7-any)binomialtrend_0.0.0.3.zip(r-4.6-any)binomialtrend_0.0.0.3.zip(r-4.5-any)
binomialtrend_0.0.0.3.tgz(r-4.6-any)binomialtrend_0.0.0.3.tgz(r-4.5-any)
binomialtrend_0.0.0.3.tar.gz(r-4.7-any)binomialtrend_0.0.0.3.tar.gz(r-4.6-any)
binomialtrend_0.0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
binomialtrend/json (API)

# Install 'binomialtrend' in R:
install.packages('binomialtrend', repos = c('https://csmatyi.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • gsta_data - CRUTEM World Mean Temperature Data Set from 1851 to 2022

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 319 downloads 2 exports 12 dependencies

Last updated from:330d287697. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK206
linux-releaseOK83
macos-releaseOK136
macos-oldrelOK180
windows-develOK64
windows-releaseOK53
windows-oldrelOK50
wasm-releaseOK74

Exports:binomialtrendtrendmap

Dependencies:clifarvergluegtablelabelinglifecyclepheatmapR6RColorBrewerrlangscalesviridisLite