plot_missing_dates: Plot annual and monthly missing dates

In fasstr: Analyze, Summarize, and Visualize Daily Streamflow Data

Plot annual and monthly missing dates

Description

Plots the data availability for each month of each year. Calculates statistics from all values, unless specified. Data calculated using screen_flow_data() function. Returns a list of plots.

Usage

plot_missing_dates(
  data,
  dates = Date,
  values = Value,
  groups = STATION_NUMBER,
  station_number,
  roll_days = 1,
  roll_align = "right",
  water_year_start = 1,
  start_year,
  end_year,
  months = 1:12,
  include_title = FALSE,
  plot_type = "tile"
)

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.
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.
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.
plot_type	Type of missing data plot, either "tile" or "bar" styles. Default "tile". Use "bar" for previous version of plot.

Value

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

Missing_Dates

a plot that contains the data availability for each year and month

See Also

screen_flow_data

Examples

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

# Plot missing dates using a data frame and data argument with defaults
flow_data <- tidyhydat::hy_daily_flows(station_number = "08NM116")
plot_missing_dates(data = flow_data)

# Plot missing dates using station_number argument with defaults
plot_missing_dates(station_number = "08NM116")
                  
# Plot missing dates for 7-day flows for July-September months only
plot_missing_dates(station_number = "08NM116",
                   roll_days = 7,
                   months = 7:9)
                   
# Plot missing dates for water years starting in October
plot_missing_dates(station_number = "08NM116",
                   water_year_start = 10)
                   
}

fasstr documentation built on March 31, 2023, 10:25 p.m.