Calculate coefficients for a moving difference

Calculate coefficients for a moving difference

Usage

moving_difference(n_year, duration, first_year = 1)

Arguments

n_year

Number of available years in the data.

duration

Number of years in the moving window. If the number of available years is less than this value, the trend will be calculated for the available years.

first_year

First year of the data. Only used to name the rows.

Value

A matrix with moving average coefficients One row for each window and and one column for each year in the data. The format of the row names is difference_{window mid point start}_{window mid point end}_{window length}. difference_2001.5_2010.5_4 is the difference of the average for period for the years 2009 to 2012 compared to the period from 2000 to 2003.

Examples

moving_difference(6, 2)
#>                      [,1] [,2] [,3] [,4] [,5] [,6]
#> difference_1.5_5.5_2 -0.5 -0.5  0.0  0.0  0.5  0.5
#> difference_2.5_5.5_2  0.0 -0.5 -0.5  0.0  0.5  0.5
#> difference_3.5_5.5_2  0.0  0.0 -0.5 -0.5  0.5  0.5
#> difference_1.5_4.5_2 -0.5 -0.5  0.0  0.5  0.5  0.0
#> difference_2.5_4.5_2  0.0 -0.5 -0.5  0.5  0.5  0.0
#> difference_1.5_3.5_2 -0.5 -0.5  0.5  0.5  0.0  0.0
moving_difference(6, 2, 2000)
#>                            [,1] [,2] [,3] [,4] [,5] [,6]
#> difference_2000.5_2004.5_2 -0.5 -0.5  0.0  0.0  0.5  0.5
#> difference_2001.5_2004.5_2  0.0 -0.5 -0.5  0.0  0.5  0.5
#> difference_2002.5_2004.5_2  0.0  0.0 -0.5 -0.5  0.5  0.5
#> difference_2000.5_2003.5_2 -0.5 -0.5  0.0  0.5  0.5  0.0
#> difference_2001.5_2003.5_2  0.0 -0.5 -0.5  0.5  0.5  0.0
#> difference_2000.5_2002.5_2 -0.5 -0.5  0.5  0.5  0.0  0.0