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test_that("data is ordered by x", {
df <- data_frame(x = c(1, 5, 2, 3, 4), y = 1:5)
ps <- ggplot(df, aes(x, y))+
geom_smooth(stat = "identity", se = FALSE)
expect_equal(layer_data(ps)[c("x", "y")], df[order(df$x), ])
})
test_that("geom_smooth works in both directions", {
p <- ggplot(mpg, aes(displ, hwy)) + geom_smooth()
x <- layer_data(p)
expect_false(x$flipped_aes[1])
p <- ggplot(mpg, aes(hwy, displ)) + geom_smooth(orientation = "y")
y <- layer_data(p)
expect_true(y$flipped_aes[1])
x$flipped_aes <- NULL
y$flipped_aes <- NULL
expect_identical(x, flip_data(y, TRUE)[,names(x)])
})
test_that("default smoothing methods for small and large data sets work", {
skip_if(packageVersion("base") < "3.6.0") # warnPartialMatchArgs didn't accept FALSE
withr::local_options(warnPartialMatchArgs = FALSE)
# Numeric differences on the MLK machine on CRAN makes these test fail
# on that particular machine
skip_on_cran()
# test small data set
set.seed(6531)
x <- rnorm(10)
df <- data_frame(
x = x,
y = x^2 + 0.5 * rnorm(10)
)
m <- loess(y ~ x, data = df, span = 0.75)
range <- range(df$x, na.rm = TRUE)
xseq <- seq(range[1], range[2], length.out = 80)
out <- predict(m, data_frame(x = xseq))
p <- ggplot(df, aes(x, y)) + geom_smooth()
expect_message(
plot_data <- layer_data(p),
"method = 'loess' and formula = 'y ~ x'"
)
expect_equal(plot_data$y, as.numeric(out))
# test large data set
x <- rnorm(1001) # 1000 is the cutoff point for gam
df <- data_frame(
x = x,
y = x^2 + 0.5 * rnorm(1001)
)
m <- mgcv::gam(y ~ s(x, bs = "cs"), data = df, method = "REML")
range <- range(df$x, na.rm = TRUE)
xseq <- seq(range[1], range[2], length.out = 80)
out <- predict(m, data_frame(x = xseq))
p <- ggplot(df, aes(x, y)) + geom_smooth()
expect_message(
plot_data <- layer_data(p),
"method = 'gam' and formula = 'y ~ s\\(x, bs = \"cs\"\\)"
)
expect_equal(plot_data$y, as.numeric(out))
# backwards compatibility of method = "auto"
p <- ggplot(df, aes(x, y)) + geom_smooth(method = "auto")
expect_message(
plot_data <- layer_data(p),
"method = 'gam' and formula = 'y ~ s\\(x, bs = \"cs\"\\)"
)
expect_equal(plot_data$y, as.numeric(out))
})
# Visual tests ------------------------------------------------------------
test_that("geom_smooth() works with alternative stats", {
df <- data_frame(x = c(1, 1, 2, 2, 1, 1, 2, 2),
y = c(1, 2, 2, 3, 2, 3, 1, 2),
fill = c(rep("A", 4), rep("B", 4)))
expect_doppelganger("ribbon turned on in geom_smooth", {
ggplot(df, aes(x, y, color = fill, fill = fill)) +
geom_smooth(stat = "summary") # ribbon on by default
})
expect_doppelganger("ribbon turned off in geom_smooth", {
ggplot(df, aes(x, y, color = fill, fill = fill)) +
geom_smooth(stat = "summary", se = FALSE) # ribbon is turned off via `se = FALSE`
})
})
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