cropgrowdays (version 0.2.1)

weather_extract: Extract one or more columns of weather data between two dates

Description

Extract column(s) from a tibble/data frame of daily weather data between two specified dates. Either specify the start and end dates or specify one of these dates and also the number of days after or before, respectively.

Usage

weather_extract(
  data,
  var,
  datevar = NULL,
  ndays = 5,
  startdate = NULL,
  enddate = NULL,
  monitor = FALSE,
  return.dates = TRUE,
  warn.consecutive = TRUE
)

Value

A tibble (data frame) of extracted weather data

Arguments

data

Tibble or dataframe of daily weather data

var

Variable(s) to be extracted (Default: radn). Several columns may be specified using column names c(variable1, variable2, ...)

datevar

Date variable specifying day (Default: date_met)

ndays

Number of days after/before the start or end date, respectively. Ignored of both the start and end dates are specified (Default: 5)

startdate

Start date of data to be extracted

enddate

Final date of data to be extracted

monitor

For debugging. Prints data and dates. (Default: FALSE)

return.dates

A logical indicating whether to return the date column (Default: TRUE)

warn.consecutive

A logical indicating whether to check that dates are consecutive, that none are missing and provide a warning if not (Default:TRUE)

See Also

between filter, cumulative, daily_mean, growing_degree_days, and stress_days_over

Examples

library(lubridate)
boonah |>
weather_extract(rain, date = date_met, startdate = ymd("2019-08-16"),
                  enddate = ymd("2019-08-21"))
boonah |>
  weather_extract(rain, startdate = ymd("2019-08-16"),
                  enddate = ymd("2019-08-21"))
boonah |>
  weather_extract(maxt, date = date_met, startdate = ymd("2019-08-16"),
                  ndays = 3, return.dates = FALSE)
boonah |>
  weather_extract(mint, enddate = ymd("2019-08-16"), ndays = 1)
## extract multiple columns
boonah |>
  weather_extract(c(year, day, mint, maxt), enddate = ymd("2019-08-16"),
                  ndays = 3)