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# **********************************************************
# Author : Ezequiel Toum
# Licence : GPL V3
# Institution : IANIGLA-CONICET
# e-mail : etoum@mendoza-conicet.gob.ar
# **********************************************************
# hydrotoolbox package is distributed in the hope that it
# will be useful but WITHOUT ANY WARRANTY.
# **********************************************************
#
#' Reads data from Explorador Climático (CR2 - Chile)
#'
#' @description Reads csv files downloaded from the CR2 web page as a data frame.
#'
#' @param path path to the csv file.
#' @param by string with the time step of the series (e.g.: \code{'month', 'day',
#' '6 hour', '3 hour', '1 hour', '15 min' }). The default and unique possible
#' value is \code{'day'}.
#' @param out_name optional. String vector with user defined variable(s)
#' column(s) name(s).
#'
#' @return A data frame with the data inside the csv file. Gaps between dates are
#' filled with \code{NA_real_} and duplicated rows are eliminated automatically.
#'
#' @importFrom utils read.csv
#'
#' @export
#'
#' @examples
#'
#' # list cr2 files
#' list.files( system.file('extdata', package = 'hydrotoolbox'), pattern = 'cr2' )
#'
#' # set path to file
#' path_tmax <- system.file('extdata', 'cr2_tmax_yeso_embalse.csv',
#' package = 'hydrotoolbox')
#'
#' # read file with default colname
#' head( read_cr2(path = path_tmax) )
#'
#' # assign a column name
#' head( read_cr2(path = path_tmax, out_name = 'tmax(°C)') )
#'
read_cr2 <- function(path, by = 'day', out_name = NULL){
#*++++++++++++++++++
#* conditionals
#*++++++++++++++++++
#* path
check_class(argument = path,
target = 'character',
arg_name = 'path')
#* by
check_class(argument = by,
target = 'character',
arg_name = 'by')
check_string(argument = by,
target = 'day',
arg_name = 'by')
check_length(argument = by,
max_allow = 1,
arg_name = 'by')
#* out_name
check_class(argument = out_name,
target = 'character',
arg_name = 'out_name')
#*++++++++++++++++++
#* function
#*++++++++++++++++++
#* read the file
table_cr2 <- read.csv(file = path,
header = TRUE,
sep = ',',
dec = '.')
#* get date
year <- table_cr2[ , 1]
month <- table_cr2[ , 2]
day <- table_cr2[ , 3]
date_cr2 <- as.Date( paste0(year, '-', month, '-', day) )
#* build data frame
table_out <-
data.frame(date = date_cr2, table_cr2[ , 4]) %>%
fill_table(by = by) %>%
unique.data.frame() # to remove dups
#* out_name
if( !is.null(out_name) ){
check_length(argument = out_name, max_allow = 1, arg_name = 'out_name')
colnames(table_out) <- c('date', out_name)
} else{
colnames(table_out) <- c('date', 'value')
}
#* return
return(table_out)
}
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