Calculate moving trend coefficients

Usage

moving_average(n_year, duration, first_year = 0)

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 average_{window mid point}_{window length}. average_2001.5_4 is the average for the years 2000 to 2003.

Examples

moving_average(5, 3)
#>                    [,1]      [,2]      [,3]      [,4]      [,5]
#> average_1.0_3 0.3333333 0.3333333 0.3333333 0.0000000 0.0000000
#> average_2.0_3 0.0000000 0.3333333 0.3333333 0.3333333 0.0000000
#> average_3.0_3 0.0000000 0.0000000 0.3333333 0.3333333 0.3333333
moving_average(5, 3, 2000)
#>                       [,1]      [,2]      [,3]      [,4]      [,5]
#> average_2001.0_3 0.3333333 0.3333333 0.3333333 0.0000000 0.0000000
#> average_2002.0_3 0.0000000 0.3333333 0.3333333 0.3333333 0.0000000
#> average_2003.0_3 0.0000000 0.0000000 0.3333333 0.3333333 0.3333333