dayStats

Daily statistics for imported data

Usage

dayStats(
  x,
  methods = c("mean", "median", "min", "max"),
  percentiles = c(5, 25, 75, 95),
  hydroDay = TRUE,
  plot = TRUE,
  ...
)

# S3 method for data.table
dayStats(
  x = NULL,
  methods = c("mean", "median", "min", "max"),
  percentiles = c(5, 25, 75, 95),
  hydroDay = TRUE,
  plot = TRUE,
  year = NULL,
  ...
)

Arguments

x

Data generated in the riskyData package

methods

'mean', 'median', 'max', 'min', or 'sum'

percentiles

Set to 5, 25, 75, and 95

plot

Set to TRUE, will produce a plot of the statistics

...

Other variables as required

hyrdroDay

Set to TRUE, use hydrological day

Value

Data are aggregated to a daily resolution

Examples

# Load data
data(bewdley)

# Calculate hydrological year
bewdley$hydroYearDay()
#> ℹ Calculating hydrological year and day
#> ✔ Calculating hydrological year and day [9s]
#> 

# Calculate daily statistics
bewdley$dayStats(plot = TRUE)

#> Key: <dayYear>
#>      dayYear     Mean Median   Min   Max   Perc5 Perc25  Perc75 Perc95
#>        <num>    <num>  <num> <num> <num>   <num>  <num>   <num>  <num>
#>   1:       1 41.19031  20.20  9.64   217 10.3000 12.200  44.125 199.85
#>   2:       2 51.24923  27.10  9.44   231 10.2000 12.600  72.300 219.00
#>   3:       3 54.42089  40.65  9.26   255  9.8800 11.075  64.725 240.85
#>   4:       4 62.39057  39.45  9.62   251 10.1000 11.000 103.000 225.00
#>   5:       5 63.08780  35.45  9.49   209  9.9200 11.800 108.000 177.00
#>  ---                                                                  
#> 361:     361 34.76373  15.05  8.77   249  9.9700 10.800  31.900 195.70
#> 362:     362 37.16483  16.20  9.03   254  9.8000 11.400  26.825 252.00
#> 363:     363 39.97379  15.90  9.35   252  9.9815 11.000  26.225 244.85
#> 364:     364 42.79248  15.70  9.40   234 10.0000 12.400  40.600 191.85
#> 365:     365 40.03757  15.70 10.10   194 11.0000 11.900  30.700 172.00