Type: | Package |
Title: | Monte Carlo Trend Analysis |
Version: | 1.0.1 |
Date: | 2023-11-28 |
Description: | Application of a test to rule out that trends detected in hydrological time series are explained exclusively by the randomness of the climate. Based on: Ricchetti, (2018) https://repositorio.uchile.cl/handle/2250/168487. |
License: | GPL-3 |
Encoding: | UTF-8 |
LazyData: | true |
Imports: | trend, reshape2, ggplot2, magrittr, lmomco, dplyr |
Suggests: | rmarkdown, knitr, |
VignetteBuilder: | knitr |
Depends: | R (≥ 2.10) |
RoxygenNote: | 7.2.3 |
NeedsCompilation: | no |
Packaged: | 2023-11-30 23:01:27 UTC; CLAA300697 |
Author: | Alonso Arriagada [aut, cre] |
Maintainer: | Alonso Arriagada <alonso.arriagada@usach.cl> |
Repository: | CRAN |
Date/Publication: | 2023-12-01 14:40:03 UTC |
Monte Carlo Trend Analysis
Description
This function performs Monte Carlo trend analysis on input data and generates plots.
Usage
MCTrend(x, n_rep, plot_title, int = 0.25, opt)
Arguments
x |
A data frame containing the input data. The first raw expected to contain model names or time series names. |
n_rep |
Number of replications for the Monte Carlo simulation. |
plot_title |
Title for the plot. |
int |
A number indicating lower threshold value of the interval within which no trend is defined, the upper value is calculated based on this value, by default a lower value of 0.25 is considered. |
opt |
A number indicating type of results, for opt = 1 returns test result, opt = 2 returns plot |
Value
A data frame and a plot containing results of the trend analysis.
Examples
# file for example
file <- MCTrend::example
# Apply the test
MCTrend::MCTrend(x = file, n_rep = 100, plot_title = 'Precipitaciones', int = 0.1, opt = 1)
# plot of the result of the test
MCTrend::MCTrend(x = file, n_rep = 100, plot_title = 'Precipitaciones', int = 0.1, opt = 2)
example
Description
A data frame with annual max daily rainfall series
Usage
example
Format
A object with 30 rows and 34 variable:
- example
annual max daily rainfall in mm