View source: R/calc_daily_stats.R
calc_daily_stats | R Documentation |
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 |
Data frame of daily data that contains columns of dates, flow values, and (optional) groups (e.g. station numbers).
Leave blank or set to |
dates |
Name of column in |
values |
Name of column in |
groups |
Name of column in |
station_number |
Character string vector of seven digit Water Survey of Canada station numbers (e.g. |
percentiles |
Numeric vector of percentiles to calculate. Set to |
roll_days |
Numeric value of the number of days to apply a rolling mean. Default |
roll_align |
Character string identifying the direction of the rolling mean from the specified date, either by the first
( |
water_year_start |
Numeric value indicating the month ( |
start_year |
Numeric value of the first year to consider for analysis. Leave blank or set well before start date (i.e.
|
end_year |
Numeric value of the last year to consider for analysis. Leave blank or set well after end date (i.e.
|
exclude_years |
Numeric vector of years to exclude from analysis. Leave blank or set to |
months |
Numeric vector of months to include in analysis. For example, |
transpose |
Logical value indicating whether to transpose rows and columns of results. Default |
complete_years |
Logical values indicating whether to include only years with complete data in analysis. Default |
ignore_missing |
Logical value indicating whether dates with missing values should be included in the calculation. If
|
A tibble data frame with the following columns:
Date |
date (MMM-DD) of daily statistics |
DayofYear |
day of year of daily statistics |
Mean |
daily mean of all flows for a given day of the year |
Median |
daily mean of all flows for a given day of the year |
Maximum |
daily mean of all flows for a given day of the year |
Minimum |
daily mean of all flows for a given day of the year |
P'n' |
each daily n-th percentile selected of all flows for a given day of the year |
Default percentile columns:
P5 |
daily 5th percentile of all flows for a given day of the year |
P25 |
daily 25th percentile of all flows for a given day of the year |
P75 |
daily 75th percentile of all flows for a given day of the year |
P95 |
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)
}
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