# Create an input data frame four columns: two
# character-based and two that are numeric
data_tbl <-
data.frame(
char_1 = c("saturday", "sunday", "monday", "tuesday",
"wednesday", "thursday", "friday"),
char_2 = c("june", "july", "august", "september",
"october", "november", "december"),
num_1 = c(1836.23, 2763.39, 937.29, 643.00, 212.232, 0, -23.24),
num_2 = c(34, 74, 23, NA, 35, NA, NA),
stringsAsFactors = FALSE)
# Create a `gt_tbl` object with `gt()` and the
# `data_tbl` dataset
tab <- gt(data_tbl)
# Create an input data frame with dates, times, and date-times (all
# as character)
time_tbl <-
data.frame(
date = c("2017-10-15", "2013-02-22", "2014-09-22", "2018-01-10"),
time = c("16:45", "19:23", "01:30", "08:00"),
datetime = c("2010-03-25 19:45", "2015-06-12 09:25",
"2016-01-15 14:38", "2012-08-07 12:31"),
stringsAsFactors = FALSE)
# Create a `gt_tbl` object with `gt()` and the
# `data_tbl` dataset
tab_time <- gt(time_tbl)
test_that("The `fmt_number()` function works with conditional `rows`", {
expect_equal(
(tab %>%
fmt_number(
columns = num_1,
decimals = 4,
rows = num_1 < 1000) %>%
render_formats_test(context = "html"))[["num_1"]],
c("1836.23", "2763.39", "937.2900", "643.0000",
"212.2320", "0.0000", paste0("\U02212", "23.2400")))
expect_equal(
(tab %>%
fmt_number(
columns = c(num_1, num_2),
decimals = 4,
rows = char_2 %in% c("june", "july") & grepl("sa.*", char_1)) %>%
render_formats_test(context = "html"))[["num_2"]],
c("34.0000", "74", "23", "NA", "35", "NA", "NA"))
})
test_that("The `fmt_scientific()` function works with conditional `rows`", {
expect_equal(
(tab %>%
fmt_scientific(
columns = num_1,
decimals = 4,
rows = num_1 < 1000) %>%
render_formats_test(context = "html"))[["num_1"]],
c(
"1836.23", "2763.39",
paste0("9.3729 ", "\U000D7", " 102"),
paste0("6.4300 ", "\U000D7", " 102"),
paste0("2.1223 ", "\U000D7", " 102"),
"0.0000",
paste0("\U02212", "2.3240 ", "\U000D7", " 101")
)
)
expect_equal(
(tab %>%
fmt_scientific(
columns = c(num_1, num_2),
decimals = 4,
rows = char_2 %in% c("june", "july") & grepl("sa.*", char_1)) %>%
render_formats_test(context = "html"))[["num_2"]],
c(
paste0("3.4000 ", "\U000D7", " 101"),
"74", "23", "NA", "35", "NA", "NA"
)
)
})
test_that("The `fmt_percent()` function works with conditional `rows`", {
expect_equal(
(tab %>%
fmt_percent(
columns = num_1,
decimals = 2,
rows = num_1 < 1000
) %>%
render_formats_test(context = "html"))[["num_1"]],
c(
"1836.23", "2763.39", "93,729.00%", "64,300.00%",
"21,223.20%", "0.00%", paste0("\U02212", "2,324.00%")
)
)
expect_equal(
(tab %>%
fmt_percent(
columns = c(num_1, num_2),
decimals = 2,
rows = char_2 %in% c("june", "july") & grepl("sa.*", char_1)) %>%
render_formats_test(context = "html"))[["num_2"]],
c("3,400.00%", "74", "23", "NA", "35", "NA", "NA")
)
})
test_that("The `fmt_currency()` function works with conditional `rows`", {
expect_equal(
(tab %>%
fmt_currency(
columns = num_1,
currency = "USD",
rows = num_1 < 1000) %>%
render_formats_test(context = "html"))[["num_1"]],
c(
"1836.23", "2763.39", "$937.29", "$643.00", "$212.23",
"$0.00", paste0("\U02212", "$23.24")
)
)
expect_equal(
(tab %>%
fmt_currency(
columns = c(num_1, num_2),
currency = "USD",
rows = char_2 %in% c("june", "july") & grepl("sa.*", char_1)) %>%
render_formats_test(context = "html"))[["num_2"]],
c("$34.00", "74", "23", "NA", "35", "NA", "NA")
)
})
test_that("The `fmt_date()` function works with conditional `rows`", {
expect_equal(
(tab_time %>%
fmt_date(
columns = date,
date_style = 2,
rows = time == "16:45") %>%
render_formats_test(context = "html"))[["date"]],
c("Sunday, October 15, 2017", "2013-02-22", "2014-09-22", "2018-01-10")
)
expect_equal(
(tab_time %>%
fmt_date(
columns = date,
date_style = 2,
rows = date %in% c("2017-10-15", "2014-09-22") & grepl("^1", time)) %>%
render_formats_test(context = "html"))[["date"]],
c("Sunday, October 15, 2017", "2013-02-22", "2014-09-22", "2018-01-10")
)
})
test_that("The `fmt_time()` function works with conditional `rows`", {
expect_equal(
(tab_time %>%
fmt_time(
columns = time,
time_style = 2,
rows = time == "16:45") %>%
render_formats_test(context = "html"))[["time"]],
c("16:45", "19:23", "01:30", "08:00")
)
expect_equal(
(tab_time %>%
fmt_time(
columns = time,
time_style = 2,
rows = date %in% c("2017-10-15", "2014-09-22") & grepl("^1", time)) %>%
render_formats_test(context = "html"))[["time"]],
c("16:45", "19:23", "01:30", "08:00")
)
})
test_that("The `fmt_datetime()` function works with conditional `rows`", {
expect_equal(
(tab_time %>%
fmt_datetime(
columns = datetime,
date_style = 2,
time_style = 2,
rows = time == "16:45") %>%
render_formats_test(context = "html"))[["datetime"]],
c("Thursday, March 25, 2010 19:45", "2015-06-12 09:25",
"2016-01-15 14:38", "2012-08-07 12:31")
)
expect_equal(
(tab_time %>%
fmt_datetime(
columns = datetime,
date_style = 2,
time_style = 2,
rows = date %in% c("2017-10-15", "2014-09-22") & grepl("^1", time)) %>%
render_formats_test(context = "html"))[["datetime"]],
c("Thursday, March 25, 2010 19:45", "2015-06-12 09:25",
"2016-01-15 14:38", "2012-08-07 12:31")
)
})
test_that("The `fmt_passthrough()` function works with conditional `rows`", {
expect_equal(
(tab_time %>%
fmt_passthrough(
columns = datetime,
rows = time == "16:45") %>%
render_formats_test(context = "html"))[["datetime"]],
c("2010-03-25 19:45", "2015-06-12 09:25",
"2016-01-15 14:38", "2012-08-07 12:31")
)
expect_equal(
(tab_time %>%
fmt_passthrough(
columns = datetime,
rows = date %in% c("2017-10-15", "2014-09-22") & grepl("^1", time)) %>%
render_formats_test(context = "html"))[["datetime"]],
c("2010-03-25 19:45", "2015-06-12 09:25",
"2016-01-15 14:38", "2012-08-07 12:31")
)
})
test_that("The `sub_missing()` function works with conditional `rows`", {
expect_equal(
(tab %>%
sub_missing(
columns = num_2,
rows = num_1 <= 0
) %>%
render_formats_test(context = "html"))[["num_2"]],
c("34", "74", "23", "NA", "35", rep("\U02014", 2))
)
})
test_that("The `fmt()` function works with conditional `rows`", {
expect_equal(
(tab %>%
fmt(
columns = num_1,
rows = num_1 > 1000,
fns = function(x){
x * 1000
}) %>%
render_formats_test(context = "html"))[["num_1"]],
c("1836230", "2763390", "937.290", "643.000",
"212.232", "0.000", "-23.240")
)
})