range_check: Range check function
In jieyu97/QCwind: Quality control procedures for citizen science wind observations

Description Usage Arguments Value Examples

Checking the plausible range of a sequence of observations; The observations should be no less than the lower.bound and no more than the upper.bound; Generating a new sequence of flags, and outputting a new sequence of observations after removing failed observations.

range_check(
  data,
  data.column,
  datetime.column,
  upper.bound,
  lower.bound = 0,
  monthly.bounds = TRUE
)

`data`	a data.frame that includes observation data with information.
`data.column`	a character, the selected column name in the data.frame that represents observation data to be checked.
`datetime.column`	a character, the selected column name in the data.frame that represents the reporting dates and times of corresponding observations.
`upper.bound`	a real number that controls the maximum allowed value of observations.
`lower.bound`	a real number that controls the minimum required value of observations (default value = 0).
`monthly.bounds`	a logical, if `TRUE`, then the range check is performed with different monthly upper bounds, in this case the `upper.bound` and `lower.bound` must be a numeric vector of length 12, if `lower.bound` use default value, then there is no need to take actions.

a new tbl_df that extends two new columns on the input data, the first added column flag_range represents the flags (P means pass, fail.range means fail, missing means missing values of observations), the second added column new_data_range represents the observation data after removing failed observations.

library(tidyverse)
datetime = as.POSIXct(seq(0,60000,600), origin = "2017-02-03 08:00:00")
test_data = tibble(datetime = datetime,
              windspeed = c(0:20,20:1,1:20,20:1,1:20))
test_range_check = range_check(test_data, data.column = 'windspeed',
                               datetime.column = 'datetime', upper.bound = c(11:22))
attributes(test_range_check)
test_range_check