test_that("serie_historica", {
serie <- structure(list(
fecha =
structure(c(1322697600, 1354320000, 1385856000,
1417392000, 1448928000, 1480550400,
1512086400, 1543622400, 1575158400),
tzone = "UTC",
class = c("POSIXct", "POSIXt")),
lineas = c(11193, 8846, 6874, 5474, 3563, 1986, 1914, 1762, 1729)),
row.names = c(NA, -9L), class = c("tbl_df", "tbl", "data.frame"))
p <- serie_historica(serie, lineas, fecha)
expect_true(ggplot2::is.ggplot(p))
#expect_error(print(p), NA)
expect_true("GeomCol" %in% class(p$layers[[1]]$geom))
expect_true("GeomText" %in% class(p$layers[[2]]$geom))
})
test_that("serie_historica_anual", {
serie <- data.frame(
stringsAsFactors = FALSE,
year = c(2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019),
servicio = c("Mn", "Mn", "Mn", "Mn", "Mn", "Mn", "Mn", "Mn", "Mn"),
sentido = c("desde","desde","desde",
"desde","desde","desde","desde","desde","desde"),
val = c(161947390,164858515,157409608,
146673364,124414817,102077806,83858473,74820344,
68859034))
p <- serie_historica_anual(serie, val)
expect_true(ggplot2::is.ggplot(p))
#expect_error(print(p), NA)
expect_true("GeomCol" %in% class(p$layers[[1]]$geom))
expect_true("GeomText" %in% class(p$layers[[2]]$geom))
})
test_that("serie_historica_mensual", {
serie <- tibble::tribble(
~trafico, ~year, ~month,
96437, 2018, 1,
93333, 2018, 2,
101713, 2018, 3,
101240, 2018, 4,
109307, 2018, 5,
108967, 2018, 6,
112982, 2018, 7,
115621, 2018, 8,
115825, 2018, 9,
114350, 2018, 10,
114150, 2018, 11,
111965, 2018, 12,
120039, 2019, 1,
118777, 2019, 2,
111572, 2019, 3,
126237, 2019, 4,
134348, 2019, 5,
142193, 2019, 6,
150576, 2019, 7,
151067, 2019, 8,
146393, 2019, 9,
155685, 2019, 10,
143900, 2019, 11,
155142, 2019, 12
)
p <- serie %>%
dplyr::filter(year > 2018) %>%
serie_historica_mensual(trafico)
expect_true(ggplot2::is.ggplot(p))
#expect_error(print(p), NA)
expect_true("GeomCol" %in% class(p$layers[[1]]$geom))
expect_true("GeomText" %in% class(p$layers[[2]]$geom))
})
test_that("serie_historica_semestral_flujo", {
serie_141 <- data.frame(
year = c(2011,2011,2012,2012,2013,2013,2014,
2014,2015,2015,2016,2016,2017,2017,2018,2018,2019,2019),
semester = c(1L,2L,1L,2L,1L,2L,1L,2L,1L,2L,1L,
2L,1L,2L,1L,2L,1L,2L),
lineas = c(964859,979923,1010803,1010953,1029629,
1048445,1059309,1082903,1096565,1106431,1112235,1113566,
1120072,1136977,1149210,1153533,1164984,1165373)
)
p <- serie_141 %>%
dplyr::mutate(lineas = lineas / 1e3) %>%
serie_historica_semestral_flujo(lineas)
expect_true(ggplot2::is.ggplot(p))
#expect_error(print(p), NA)
expect_true("GeomCol" %in% class(p$layers[[1]]$geom))
expect_true("GeomText" %in% class(p$layers[[2]]$geom))
etiquetas <- ggplot2::ggplot_build(p)$layout$panel_scales_x[[1]]$range$range
# expect_equal("'11-I", etiquetas[[1]])
# expect_equal("'11-II", etiquetas[[2]])
expect_equal("2011\nI", etiquetas[[1]])
expect_equal("2011\nII", etiquetas[[2]])
})
test_that("serie_historica_semestral_stock ", {
serie_141 <- data.frame(
year = c(2011,2011,2012,2012,2013,2013,2014,
2014,2015,2015,2016,2016,2017,2017,2018,2018,2019,2019),
semester = c(1L,2L,1L,2L,1L,2L,1L,2L,1L,2L,1L,
2L,1L,2L,1L,2L,1L,2L),
lineas = c(964859,979923,1010803,1010953,1029629,
1048445,1059309,1082903,1096565,1106431,1112235,1113566,
1120072,1136977,1149210,1153533,1164984,1165373)
)
p <- serie_141 %>%
dplyr::mutate(lineas = lineas / 1e3) %>%
serie_historica_semestral_stock(lineas)
expect_true(ggplot2::is.ggplot(p))
#expect_error(print(p), NA)
expect_true("GeomCol" %in% class(p$layers[[1]]$geom))
expect_true("GeomText" %in% class(p$layers[[2]]$geom))
etiquetas <- ggplot2::ggplot_build(p)$layout$panel_scales_x[[1]]$range$range
expect_equal("6-2011", etiquetas[[1]])
expect_equal("12-2011", etiquetas[[2]])
})
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