Plot annual summary statistics (as lines)

Plots means, medians, maximums, minimums, and percentiles for each year from all years of a daily streamflow data set. Calculates statistics from all values, unless specified. Data calculated using calc_annual_stats() function. Returns a list of plots.

plot_annual_stats(
  data,
  dates = Date,
  values = Value,
  groups = STATION_NUMBER,
  station_number,
  percentiles,
  roll_days = 1,
  roll_align = "right",
  water_year_start = 1,
  start_year,
  end_year,
  exclude_years,
  months = 1:12,
  complete_years = FALSE,
  ignore_missing = FALSE,
  allowed_missing = ifelse(ignore_missing, 100, 0),
  log_discharge = FALSE,
  log_ticks = ifelse(log_discharge, TRUE, FALSE),
  include_title = FALSE
)

Arguments

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.
percentiles: Numeric vector of percentiles to calculate. Set to NA if none required. Default NA.
roll_days: Numeric value of the number of days to apply a rolling mean. Default 1.
roll_align: Character string identifying the direction of the rolling mean from the specified date, either by the first ('left'), last ('right'), or middle ('center') day of the rolling n-day group of observations. Default 'right'.
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).
complete_years: Logical values indicating whether to include only years with complete data in analysis. Default FALSE.
ignore_missing: Logical value indicating whether dates with missing values should be included in the calculation. If TRUE then a statistic will be calculated regardless of missing dates. If FALSE then only those statistics from time periods with no missing dates will be returned. Default FALSE.
allowed_missing: Numeric value between 0 and 100 indicating the percentage of missing dates allowed to be included to calculate a statistic (0 to 100 percent). If 'ignore_missing = FALSE' then it defaults to 0 (zero missing dates allowed), if 'ignore_missing = TRUE' then it defaults to 100 (any missing dates allowed); consistent with ignore_missing usage. Supersedes ignore_missing when used.
log_discharge: Logical value to indicate plotting the discharge axis (Y-axis) on a logarithmic scale. Default FALSE.
log_ticks: Logical value to indicate plotting logarithmic scale ticks when log_discharge = TRUE. Ticks will not appear when log_discharge = FALSE. Default to TRUE when log_discharge = TRUE.
include_title: Logical value to indicate adding the group/station number to the plot, if provided. Default FALSE.

Value

A list of ggplot2 objects for with the following plots (percentile plots optional) for each station provided:

Annual_Stats: a plot that contains annual statistics

Default plots on each object:

Mean: annual mean of all daily flows
Median: annual median of all daily flows
Maximum: annual maximum of all daily flows
Minimum: annual minimum of all daily flows

Examples

# Run if HYDAT database has been downloaded (using tidyhydat::download_hydat())
if (file.exists(tidyhydat::hy_downloaded_db())) {

# Plot annual statistics using a data frame and data argument with defaults
flow_data <- tidyhydat::hy_daily_flows(station_number = "08NM116")
plot_annual_stats(data = flow_data)

# Plot annual statistics using station_number argument with defaults
plot_annual_stats(station_number = "08NM116")

# Plot annual statistics regardless if there is missing data for a given year
plot_annual_stats(station_number = "08NM116",
                  ignore_missing = TRUE)
                  
# Plot annual statistics for water years starting in October
plot_annual_stats(station_number = "08NM116",
                  water_year_start = 10)
                  
# Plot annual statistics with custom years and percentiles
plot_annual_stats(station_number = "08NM116",
                  start_year = 1981,
                  end_year = 2010,
                  exclude_years = c(1991,1993:1995),
                  percentiles = c(25,75))

                  
}
#> 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.
#> 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.
#> 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_Statistics

#>

Arguments

Value

See also

Examples