Print a fire intervals
object
# S3 method for intervals
print(x, ...)
An intervals
object.
Additional arguments that are tossed.
intervals()
to create a fire intervals
object.
data(pgm)
interv <- intervals(composite(pgm))
#> Warning: ties should not be present for the Kolmogorov-Smirnov test
print(interv)
#> Interval Analysis
#> =================
#>
#> Composite name: COMP
#> Events range: 1636 to 1871
#>
#> Total intervals: 20
#> Mean interval: 11.8
#> Median interval: 10
#> Weibull median: 10.6
#> Standard deviation: 7.7
#> Minimum interval: 2
#> Maximum interval: 30
#>
#>
#> Theoretical distribution
#> ------------------------
#>
#> Fit distribution: weibull
#>
#> shape scale
#> 1.6565206 13.2125358
#> ( 0.2797517) ( 1.8871133)
#>
#>
#> Percentiles
#> -----------
#>
#> lower (12.5%): 3.9 | weibull median (50.0%): 10.6 | upper (87.5%): 20.6
#>
#> Asymptotic one-sample Kolmogorov-Smirnov test
#> ---------------------------------------------
#>
#> D^- = 0.12776, p = 0.89978
#> Null hypothesis: The intervals were sampled from the theoretical
#> distribution.
#> Alt. hypothesis: The intervals were not sampled from the theoretical
#> distribution.
#>
#>
# Note, you can also catch the printed table:
summary_stats <- print(interv)
#> Interval Analysis
#> =================
#>
#> Composite name: COMP
#> Events range: 1636 to 1871
#>
#> Total intervals: 20
#> Mean interval: 11.8
#> Median interval: 10
#> Weibull median: 10.6
#> Standard deviation: 7.7
#> Minimum interval: 2
#> Maximum interval: 30
#>
#>
#> Theoretical distribution
#> ------------------------
#>
#> Fit distribution: weibull
#>
#> shape scale
#> 1.6565206 13.2125358
#> ( 0.2797517) ( 1.8871133)
#>
#>
#> Percentiles
#> -----------
#>
#> lower (12.5%): 3.9 | weibull median (50.0%): 10.6 | upper (87.5%): 20.6
#>
#> Asymptotic one-sample Kolmogorov-Smirnov test
#> ---------------------------------------------
#>
#> D^- = 0.12776, p = 0.89978
#> Null hypothesis: The intervals were sampled from the theoretical
#> distribution.
#> Alt. hypothesis: The intervals were not sampled from the theoretical
#> distribution.
#>
#>