| Title: | Calculates the Statistical Significance of a Trend in a Set of Measurements |
|---|---|
| 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). |
| Authors: | Matthew Cserhati [aut, cre]
|
| Maintainer: | Matthew Cserhati <[email protected]> |
| License: | GPL-3 |
| Version: | 0.0.0.3 |
| Built: | 2024-12-08 07:01:44 UTC |
| Source: | CRAN |
The package calculates whether there is a statistically significant trend in the date 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 create a heatmap visualizing the trend.
Version 0.0.1. Author: Dr. Matthew Cserhati Email: [email protected] December 14, 2022
data |
a data frame with the measurement values |
The p-value and trend value of the data
Walpole, Myers, Myers, Ye. (2007) Probability & Statistics for Engineers and Scientists. Upper Saddle River, NJ, Pearson Prentice Hall.
meas <- c(1.1,4.5,7.8,5.9,10.2) binomialtrend(meas) binomialtrend(c(1,2,3,4,2,4,5,6,8,5,4,7,10,11))meas <- c(1.1,4.5,7.8,5.9,10.2) binomialtrend(meas) binomialtrend(c(1,2,3,4,2,4,5,6,8,5,4,7,10,11))
CRUTEM World Mean Temperature Data Set from 1851 to 2022
gsta_datagsta_data
gsta_dataA data set with 172 rows and 4 columns, for Jan, Apr, Jul and Oct from 1851-2022
world mean temperature for January
world mean temperature for April
world mean temperature for July
world mean temperature for October
https://crudata.uea.ac.uk/cru/data/temperature/CRUTEM.5.0.1.0.stat4post.txt.gz
The package calculates whether there is a statistically significant trend in the date 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 create a heatmap visualizing the trend.
Version 0.0.1. Author: Dr. Matthew Cserhati Email: [email protected] December 14, 2022
data |
a data frame with the measurement values |
nil
Walpole, Myers, Myers, Ye. (2007) Probability & Statistics for Engineers and Scientists. Upper Saddle River, NJ, Pearson Prentice Hall.
meas <- c(1.1,4.5,7.8,5.9,10.2) trendmap(meas) trendmap(c(1,2,3,4,2,4,5,6,8,5,4,7,10,11))meas <- c(1.1,4.5,7.8,5.9,10.2) trendmap(meas) trendmap(c(1,2,3,4,2,4,5,6,8,5,4,7,10,11))