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expect_traces <- function(gg, n.traces, name) {
stopifnot(is.numeric(n.traces))
L <- expect_doppelganger_built(gg, paste0("bar-", name))
all.traces <- L$data
no.data <- sapply(all.traces, function(tr) {
is.null(tr[["x"]]) && is.null(tr[["y"]])
})
has.data <- all.traces[!no.data]
expect_equivalent(length(has.data), n.traces)
list(data = has.data, layout = L$layout)
}
researchers <- data.frame(
country = c("Canada", "Canada", "Germany", "USA"),
name = c("Warren", "Andreanne", "Stefan", "Toby"),
papers = c(23, 14, 37, 20),
field = c("Math", "Bio", "Bio", "Math")
)
gg <- ggplot(researchers, aes(country, papers, fill = field))
test_that("position_dodge()", {
gg.dodge <- gg + geom_bar(stat = "identity", position = "dodge")
info <- expect_traces(gg.dodge, 2, "dodge")
expect_identical(info$layout$barmode, "relative")
l <- ggplotly(gg.dodge, dynamicTicks = "x")$x
expect_identical(l$layout$barmode, "dodge")
expect_equivalent(l$data[[1]]$x, c("Canada", "Germany"))
expect_equivalent(l$data[[1]]$name, "Bio")
expect_equivalent(l$data[[2]]$x, c("Canada", "USA"))
expect_equivalent(l$data[[2]]$name, "Math")
})
test_that("position_stack()", {
gg.stack <- gg + geom_bar(stat = "identity", position = "stack")
info <- expect_traces(gg.stack, 2, "stack")
expect_identical(info$layout$barmode, "relative")
l <- ggplotly(gg.stack, dynamicTicks = T)$x
expect_identical(l$layout$barmode, "relative")
})
test_that("position_identity()", {
gg.identity <- gg + geom_bar(stat = "identity", position = "identity")
info <- expect_traces(gg.identity, 2, "identity")
expect_identical(info$layout$barmode, "relative")
l <- ggplotly(gg.identity, dynamicTicks = T)$x
expect_identical(l$layout$barmode, "relative")
})
test_that("dates work well with bar charts", {
researchers$month <- c("2012-01-01", "2012-01-01", "2012-02-01", "2012-02-01")
researchers$month <- as.Date(researchers$month)
gd <- ggplot(researchers, aes(month, papers, fill = field)) +
geom_bar(stat = "identity")
info <- expect_traces(gd, 2, "dates")
# by default, date axes are linear...
expect_equivalent(info$layout$xaxis$type, "linear")
expect_equivalent(
info$data[[1]]$x,
as.numeric(unique(researchers$month))
)
# different story for dynamicTicks...
l <- ggplotly(gd, dynamicTicks = TRUE)$x
expect_equivalent(l$layout$xaxis$type, "date")
expect_equivalent(l$layout$xaxis$tickmode, "auto")
expect_is(l$layout$xaxis$range, "Date")
for (attr in c("x", "width")) {
expect_is(l$data[[1]][[attr]], "Date")
}
})
## http://www.cookbook-r.com/Graphs/Bar_and_line_graphs_%28ggplot2%29/
df <- data.frame(
time = factor(c("Lunch","Dinner"), levels = c("Lunch","Dinner")),
total_bill = c(14.89, 17.23)
)
test_that("Very basic bar graph", {
gg <- ggplot(data = df, aes(x = time, y = total_bill)) +
geom_bar(stat = "identity")
info <- expect_traces(gg, 1, "nocolor")
tr <- info$data[[1]]
expect_identical(tr$type, "bar")
expect_equivalent(tr$y, df$total_bill)
})
test_that("Map the time of day to different fill colors", {
gg <- ggplot(data = df, aes(x = time, y = total_bill, fill = time)) +
geom_bar(stat = "identity")
info <- expect_traces(gg, 2, "color")
# is the color of the two bars the same?
expect_false(
identical(info$data[[1]]$marker$color, info$data[[2]]$marker$color)
)
expect_true(info$layout$showlegend)
})
test_that("Add a black outline", {
gg <- ggplot(data = df, aes(x = time, y = total_bill, fill = time)) +
geom_bar(colour = "black", stat = "identity")
info <- expect_traces(gg, 2, "black-outline")
for(tr in info$data){
expect_true(is.character(tr$marker$color))
expect_identical(tr$marker$line$color, toRGB("black"))
expect_true(tr$showlegend)
}
expect_true(info$layout$showlegend)
})
test_that('guides(colour="none") does not affect fill legend', {
gg <- ggplot(data = df, aes(x = time, y = total_bill, fill = time)) +
geom_bar(color = "black", stat = "identity") +
guides(colour = "none")
info <- expect_traces(gg, 2, "aes-fill-guides-color-none")
expect_true(info$layout$showlegend)
})
test_that("guides(fill=FALSE) does not affect colour legend", {
gg <- ggplot(data = df, aes(x = time, y = total_bill, colour = time)) +
geom_bar(fill = "grey", stat = "identity") +
guides(fill = "none")
info <- expect_traces(gg, 2, "aes-colour-guides-fill-FALSE")
for(tr in info$data){
expect_equivalent(tr$marker$color, toRGB("grey"))
expect_true(is.character(tr$marker$line$color))
expect_true(tr$showlegend)
}
expect_match(info$layout$legend$title$text, "time")
expect_true(info$layout$showlegend)
})
base <- ggplot(mtcars, aes(factor(vs), fill = factor(cyl)))
test_that("geom_bar() stacks counts", {
info <- expect_traces(base + geom_bar(), 3, "position-stack")
expect_identical(info$layout$barmode, "relative")
trs <- info$data
# sum of y values for each trace
test <- as.numeric(sort(sapply(trs, function(x) sum(x$y))))
true <- as.numeric(sort(table(mtcars$cyl)))
expect_identical(test, true)
})
test_that("geom_bar(position = 'fill') stacks proportions", {
info <- expect_traces(base + geom_bar(position = "fill"), 3, "position-fill")
expect_identical(info$layout$barmode, "relative")
trs <- info$data
# sum of y-values *conditioned* on a x-value
prop <- sum(sapply(sapply(trs, "[[", "y"), "[", 1))
expect_identical(prop, 1)
})
d <- diamonds[1:50, ]
gbar <- ggplot(d, aes(cut, price)) + geom_bar(stat = "identity")
test_that("Using identity with multiple y for a given x works ", {
info <- expect_traces(gbar, 1, "category-names")
})
p <- ggplot(mtcars, aes(factor(cyl))) + geom_bar() + coord_flip()
test_that("geom_bar() + coord_flip() works", {
info <- expect_traces(p, 1, "coord-flip")
expect_identical(info$data[[1]]$orientation, "h")
})
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