Calculates means, medians, maximums, minimums, and percentiles for each day of the year of flow values
from a daily streamflow data set. Can determine statistics of rolling mean days (e.g. 7-day flows) using the roll_days
argument. Note that statistics are based on the numeric days of year (1-365) and not the date of year (Jan 1 - Dec 31).
Calculates statistics from all values, unless specified. Returns a tibble with statistics.
calc_daily_stats(
data,
dates = Date,
values = Value,
groups = STATION_NUMBER,
station_number,
percentiles = c(5, 25, 75, 95),
roll_days = 1,
roll_align = "right",
water_year_start = 1,
start_year,
end_year,
exclude_years,
months = 1:12,
transpose = FALSE,
complete_years = FALSE,
ignore_missing = FALSE
)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.
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.
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.
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.
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.
Numeric vector of percentiles to calculate. Set to NA if none required. Default c(5,25,75,95).
Numeric value of the number of days to apply a rolling mean. Default 1.
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'.
Numeric value indicating the month (1 through 12) of the start of water year for
analysis. Default 1.
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.
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.
Numeric vector of years to exclude from analysis. Leave blank or set to NULL to include all years.
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).
Logical value indicating whether to transpose rows and columns of results. Default FALSE.
Logical values indicating whether to include only years with complete data in analysis. Default FALSE.
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.
A tibble data frame with the following columns:
date (MMM-DD) of daily statistics
day of year of daily statistics
daily mean of all flows for a given day of the year
daily mean of all flows for a given day of the year
daily mean of all flows for a given day of the year
daily mean of all flows for a given day of the year
each daily n-th percentile selected of all flows for a given day of the year
Default percentile columns:
daily 5th percentile of all flows for a given day of the year
daily 25th percentile of all flows for a given day of the year
daily 75th percentile of all flows for a given day of the year
daily 95th percentile of all flows for a given day of the year
Transposing data creates a column of "Statistics" and subsequent columns for each year selected.
# Run if HYDAT database has been downloaded (using tidyhydat::download_hydat())
if (file.exists(tidyhydat::hy_downloaded_db())) {
# Calculate daily statistics using station_number argument with defaults
calc_daily_stats(station_number = "08NM116",
start_year = 1980)
# Calculate daily statistics regardless if there is missing data for a given day of year
calc_daily_stats(station_number = "08NM116",
ignore_missing = TRUE)
# Calculate daily statistics using only years with no missing data
calc_daily_stats(station_number = "08NM116",
complete_years = TRUE)
# Calculate daily statistics for water years starting in October between 1980 and 2010
calc_daily_stats(station_number = "08NM116",
start_year = 1980,
end_year = 2010,
water_year_start = 10)
}
#> # A tibble: 365 × 11
#> STATION_…¹ Date Dayof…² Mean Median Minimum Maximum P5 P25 P75 P95
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 08NM116 Oct-… 1 1.91 1.52 0.519 6.12 0.646 0.826 2.37 4.66
#> 2 08NM116 Oct-… 2 1.98 1.46 0.501 7.93 0.704 0.943 2.17 4.38
#> 3 08NM116 Oct-… 3 1.97 1.51 0.455 8.53 0.641 1.06 2.33 4.50
#> 4 08NM116 Oct-… 4 1.87 1.5 0.464 7.60 0.626 1.05 2.31 3.90
#> 5 08NM116 Oct-… 5 2.02 1.30 0.554 10.6 0.623 0.958 2.36 4.23
#> 6 08NM116 Oct-… 6 1.96 1.34 0.549 9.41 0.591 0.986 2.29 3.95
#> 7 08NM116 Oct-… 7 1.96 1.48 0.455 6.87 0.604 1.04 2.30 4.60
#> 8 08NM116 Oct-… 8 1.98 1.57 0.530 5.75 0.583 1.01 2.57 4.67
#> 9 08NM116 Oct-… 9 1.96 1.43 0.457 5.99 0.551 0.911 2.27 5.15
#> 10 08NM116 Oct-… 10 1.89 1.53 0.546 5.90 0.593 0.961 2.25 4.66
#> # … with 355 more rows, and abbreviated variable names ¹STATION_NUMBER,
#> # ²DayofYear