context("basic test")
library(ET.PenmanMonteith)
test_that("hourly data", {
data(dmeteo)
tiempos <- dmeteo$FechaHora
intervalos <- difftime(tiempos[-1], tiempos[-length(tiempos)], units = "hours")
expect_equal(all(intervalos == 1), TRUE)
})
test_that("individual vs collective computation correcteness", {
library(dplyr)
data(dmeteo)
diasenteros <- dmeteo %>% dplyr::count(fecha) %>%
dplyr::filter(n == 24) %>% dplyr::pull(fecha)
dmeteo %<>% dplyr::filter(fecha %in% diasenteros)
##################### INDIVIDUAL
dmeteo %>%
split(f = dmeteo$fecha) %>%
lapply(function(m){
ET.PenmanMonteith::et0(
dates = m$FechaHora,
temp = m$tmed,
hr = m$hrmed,
uz = m$vvmed,
rs = m$radmed,
lat = 37.94006667,
elev = 56)
}) -> et0s
et0.split <- dplyr::bind_rows(et0s)
##################### COLLECTIVE
ET.PenmanMonteith::et0(
dates = dmeteo$FechaHora,
temp = dmeteo$tmed,
hr = dmeteo$hrmed,
uz = dmeteo$vvmed,
rs = dmeteo$radmed,
lat = 37.94006667,
elev = 56) -> et0.df
testthat::expect_equal(et0.df$et0, et0.split$et0)
})
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