Plots the timing (day of year and date) of portions of total annual flow of daily flow
values from a daily streamflow data set. Calculates statistics from all values from complete years, unless specified.
Data calculated using `calc_annual_flow_timing()`

function. Returns a list of plots.

```
plot_annual_flow_timing(
data,
dates = Date,
values = Value,
groups = STATION_NUMBER,
station_number,
percent_total = c(25, 33.3, 50, 75),
water_year_start = 1,
start_year,
end_year,
exclude_years,
months = 1:12,
include_title = FALSE
)
```

- data
Data frame of daily data that contains columns of dates, flow values, and (optional) groups (e.g. station numbers). Leave blank or set to

`NULL`

if using`station_number`

argument.- dates
Name of column in

`data`

that contains dates formatted YYYY-MM-DD. Only required if dates column name is not 'Date' (default). Leave blank or set to`NULL`

if using`station_number`

argument.- values
Name of column in

`data`

that contains numeric flow values, in units of cubic metres per second. Only required if values column name is not 'Value' (default). Leave blank if using`station_number`

argument.- groups
Name of column in

`data`

that contains unique identifiers for different data sets, if applicable. Only required if groups column name is not 'STATION_NUMBER'. Function will automatically group by a column named 'STATION_NUMBER' if present. Remove the 'STATION_NUMBER' column beforehand to remove this grouping. Leave blank if using`station_number`

argument.- station_number
Character string vector of seven digit Water Survey of Canada station numbers (e.g.

`"08NM116"`

) of which to extract daily streamflow data from a HYDAT database. Requires`tidyhydat`

package and a HYDAT database. Leave blank if using`data`

argument.- percent_total
Numeric vector of percents of total annual flows to determine dates. Default

`c(25,33.3,50,75)`

.- water_year_start
Numeric value indicating the month (

`1`

through`12`

) of the start of water year for analysis. Default`1`

.- start_year
Numeric value of the first year to consider for analysis. Leave blank or set well before start date (i.e.

`1800`

) to use from the first year of the source data.- end_year
Numeric value of the last year to consider for analysis. Leave blank or set well after end date (i.e.

`2100`

) to use up to the last year of the source data.- exclude_years
Numeric vector of years to exclude from analysis. Leave blank or set to

`NULL`

to include all years.- months
Numeric vector of months to include in analysis. For example,

`3`

for March,`6:8`

for Jun-Aug or`c(10:12,1)`

for first four months (Oct-Jan) when`water_year_start = 10`

(Oct). Default summarizes all months (`1:12`

).- include_title
Logical value to indicate adding the group/station number to the plot, if provided. Default

`FALSE`

.

A list of ggplot2 objects with the following for each station provided:

- Annual_Flow_Timing
a plot that contains each n-percent of total volumetric discharge

Default plots on each object:

- DoY_25pct_TotalQ
day of year of 25-percent of total volumetric discharge

- DoY_33.3pct_TotalQ
day of year of 33.3-percent of total volumetric discharge

- DoY_50pct_TotalQ
day of year of 50-percent of total volumetric discharge

- DoY_75pct_TotalQ
day of year of 75-percent of total volumetric discharge

Barnett, T.P., Pierce, D.W., Hidalgo, H.G., Bonfils, C., Santer, B.D., Das, T., Bala, G., Wood, A.W., Nozawa, T., Mirin, A.A., Cayan, D.R., Dettinger, M.D., 2008. Human-Induced Clanges in the Hydrology of the Western United States. Science 319, 1080-1083.

```
# Run if HYDAT database has been downloaded (using tidyhydat::download_hydat())
if (file.exists(tidyhydat::hy_downloaded_db())) {
# Plot annual flow timing statistics with default percent totals
plot_annual_flow_timing(station_number = "08NM116")
# Plot annual flow timing with custom percent totals
plot_annual_flow_timing(station_number = "08NM116",
percent_total = 50,
start_year = 1980)
}
#> Warning: One or more calculations included missing values and NA's were produced. If desired, filter data for complete years or months, or use the 'ignore_missing' or 'allowed_missing' arguments (if applicable) to ignore or allow some missing values.
#> $Annual_Flow_Timing
#>
```