| binomialtrend {binomialtrend} | R Documentation |
Calculates The Statistical Significance Of A Teend In A Set Of Measurements
Description
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: csmatyi@protonmail.com December 14, 2022
Arguments
data |
a data frame with the measurement values |
Value
The p-value and trend value of the data
References
Walpole, Myers, Myers, Ye. (2007) Probability & Statistics for Engineers and Scientists. Upper Saddle River, NJ, Pearson Prentice Hall.
Examples
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))