Package: binomialtrend Title: Calculates the Statistical Significance of a Trend in a Set of Measurements Version: 0.0.0.3 Authors@R: person("Matthew", "Cserhati", email="csmatyi@protonmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3673-9152")) Description: 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). License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.2.3 Depends: R (>= 2.10) LazyData: true Imports: pheatmap NeedsCompilation: no Packaged: 2022-12-16 16:58:57 UTC; CSERHMX Author: Matthew Cserhati [aut, cre] () Maintainer: Matthew Cserhati Repository: CRAN Date/Publication: 2022-12-19 09:30:06 UTC