Nothing
tests/testthat/test-stat-quant-eq.R
In ggpmisc: Miscellaneous Extensions to 'ggplot2'
context("stat_quant_eq")
library(tibble)
old.out.dec <- options(OutDec = ".")
on.exit(options(old.out.dec), add = TRUE, after = FALSE)
set.seed(4321)
# generate artificial data
x <- 1:100
y <- x + rnorm(length(x), mean = 0, sd = 10)
my.data <- data.frame(x,
y,
group = c("A", "B"),
y2 = y * c(0.5,2),
block = c("a", "a", "b", "b"),
wt = sqrt(x))
formula <- y ~ x
if (isNamespaceLoaded(name = "package:ggpmisc")) detach(package:ggpmisc, unload = TRUE)
if (isNamespaceLoaded(name = "package:ggpp")) detach(package:ggpp, unload = TRUE)
if (isNamespaceLoaded(name = "package:ggplot2")) detach(package:ggplot2, unload = TRUE)
test_that("quant_eq_noload", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_noload",
ggplot2::ggplot(my.data, ggplot2::aes(x, y)) +
ggplot2::geom_point() +
ggpmisc::stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping =
ggplot2::aes(label = paste(ggplot2::after_stat(eq.label),
ggplot2::after_stat(rho.label),
ggplot2::after_stat(AIC.label),
ggplot2::after_stat(method.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_noload_use_label",
ggplot2::ggplot(my.data, ggplot2::aes(x, y)) +
ggplot2::geom_point() +
ggpmisc::stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping = ggpmisc::use_label(c("grp", "eq", "rho", "AIC", "method"),
ggplot2::aes(colour = ggplot2::after_stat(grp.label)),
sep = "~~"))
)
}, warning=function(w) {
if (grepl("Solution may be nonunique|2 non-positive fis", conditionMessage(w)))
invokeRestart("muffleWarning")
}) })
library(ggpmisc)
# testthat does not "see" the messages and warnings, so these tests play no role
# test_that("number_of_rows_quantreg", {
# # message works but is not seen by the test
# expect_message(
# ggplot(my.data[1, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:2, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_message(
# ggplot(my.data[1:2, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))))
# )
#
# expect_message(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2) + I(x^3), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_message(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = x ~ y + I(y^2) + I(y^3), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# })
#
test_that("quant_formulas", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_formula_1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_1a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_Iy",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = I(y) ~ x, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_Ix",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ I(x), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x -1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1b",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x +0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0b",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_poly1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ poly(x, 1, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_poly3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ poly(x, 3, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
###
vdiffr::expect_doppelganger("stat_quant_eq_formula_x1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y_Ix",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = I(x) ~ y, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y_Iy",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ I(y), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_yminus1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_yplus0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_ypoly1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ poly(y, 1, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
# library(ggtext)
# test_that("markdown_values", {
# withCallingHandlers({
# vdiffr::expect_doppelganger("stat_quant_eq_numeric",
# ggplot(my.data, aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ poly(x, 3, raw = TRUE),
# hjust = 0, vstep = 0.1,
# coef.keep.zeros = TRUE,
# geom = "richtext",
# output.type = "markdown",
# mapping =
# aes(label = after_stat(AIC.label)))
# )
# }, warning=function(w) {
# if (startsWith(conditionMessage(w), "Solution may be nonunique"))
# invokeRestart("muffleWarning")
# })
#
# })
formula_n <- y ~ x + I(x^2) + I(x^3)
my.format <-
"b[0]~`=`~%.3g*\", \"*b[1]~`=`~%.3g*\", \"*b[2]~`=`~%.3g*\", \"*b[3]~`=`~%.3g"
test_that("numeric_values", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_numeric",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = formula_n,
quantiles = 0.5,
output.type = "numeric",
parse = TRUE,
mapping =
aes(label = sprintf(my.format,
after_stat(b_0), after_stat(b_1),
after_stat(b_2), after_stat(b_3)))) +
facet_wrap(~group, ncol = 1)
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("textual_positions", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE)
)
vdiffr::expect_doppelganger("stat_quant_eq_1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_2",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_smooth(method = "lm", formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_4",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "label")
)
vdiffr::expect_doppelganger("stat_quant_eq_5",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_smooth(method = "lm", formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_6",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_7",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_8",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "label")
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("numeric_positions", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_n1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.05, label.y = 0.05,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n2",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.05, label.y = 0.05,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0, label.y = -1e5,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_n4",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0, label.y = -1e5,
geom = "label")
)
vdiffr::expect_doppelganger("stat_quant_eq_n5",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.95, label.y = 0.5,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n6",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 1, label.y = 0.5,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n7",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 95, label.y = 5e5,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_n8",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 95, label.y = 5e5,
geom = "label")
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("rounding_signif", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_round",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x,
parse = TRUE,
rho.digits = 3,
coef.digits = 6,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_1_round",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1,
parse = TRUE,
rho.digits = 2,
coef.digits = 4,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
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context("stat_quant_eq")
library(tibble)
old.out.dec <- options(OutDec = ".")
on.exit(options(old.out.dec), add = TRUE, after = FALSE)
set.seed(4321)
# generate artificial data
x <- 1:100
y <- x + rnorm(length(x), mean = 0, sd = 10)
my.data <- data.frame(x,
y,
group = c("A", "B"),
y2 = y * c(0.5,2),
block = c("a", "a", "b", "b"),
wt = sqrt(x))
formula <- y ~ x
if (isNamespaceLoaded(name = "package:ggpmisc")) detach(package:ggpmisc, unload = TRUE)
if (isNamespaceLoaded(name = "package:ggpp")) detach(package:ggpp, unload = TRUE)
if (isNamespaceLoaded(name = "package:ggplot2")) detach(package:ggplot2, unload = TRUE)
test_that("quant_eq_noload", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_noload",
ggplot2::ggplot(my.data, ggplot2::aes(x, y)) +
ggplot2::geom_point() +
ggpmisc::stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping =
ggplot2::aes(label = paste(ggplot2::after_stat(eq.label),
ggplot2::after_stat(rho.label),
ggplot2::after_stat(AIC.label),
ggplot2::after_stat(method.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_noload_use_label",
ggplot2::ggplot(my.data, ggplot2::aes(x, y)) +
ggplot2::geom_point() +
ggpmisc::stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping = ggpmisc::use_label(c("grp", "eq", "rho", "AIC", "method"),
ggplot2::aes(colour = ggplot2::after_stat(grp.label)),
sep = "~~"))
)
}, warning=function(w) {
if (grepl("Solution may be nonunique|2 non-positive fis", conditionMessage(w)))
invokeRestart("muffleWarning")
}) })
library(ggpmisc)
# testthat does not "see" the messages and warnings, so these tests play no role
# test_that("number_of_rows_quantreg", {
# # message works but is not seen by the test
# expect_message(
# ggplot(my.data[1, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:2, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_message(
# ggplot(my.data[1:2, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x, parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_silent(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))))
# )
#
# expect_message(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ x + I(x^2) + I(x^3), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# expect_message(
# ggplot(my.data[1:3, ], aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = x ~ y + I(y^2) + I(y^3), parse = TRUE,
# mapping =
# aes(label = paste(after_stat(eq.label),
# after_stat(rho.label),
# after_stat(AIC.label),
# sep = "~~")))
# )
#
# })
#
test_that("quant_formulas", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_formula_1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_1a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_Iy",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = I(y) ~ x, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_Ix",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ I(x), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x -1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xminus1b",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0a",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x +0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_xplus0b",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_poly1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ poly(x, 1, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_poly3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ poly(x, 3, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
###
vdiffr::expect_doppelganger("stat_quant_eq_formula_x1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y_Ix",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = I(x) ~ y, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_y_Iy",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ I(y), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_yminus1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y - 1, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_yplus0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ y + 0, parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_ypoly1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = x ~ poly(y, 1, raw = TRUE), parse = TRUE,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
# library(ggtext)
# test_that("markdown_values", {
# withCallingHandlers({
# vdiffr::expect_doppelganger("stat_quant_eq_numeric",
# ggplot(my.data, aes(x, y)) +
# geom_point() +
# stat_quant_eq(formula = y ~ poly(x, 3, raw = TRUE),
# hjust = 0, vstep = 0.1,
# coef.keep.zeros = TRUE,
# geom = "richtext",
# output.type = "markdown",
# mapping =
# aes(label = after_stat(AIC.label)))
# )
# }, warning=function(w) {
# if (startsWith(conditionMessage(w), "Solution may be nonunique"))
# invokeRestart("muffleWarning")
# })
#
# })
formula_n <- y ~ x + I(x^2) + I(x^3)
my.format <-
"b[0]~`=`~%.3g*\", \"*b[1]~`=`~%.3g*\", \"*b[2]~`=`~%.3g*\", \"*b[3]~`=`~%.3g"
test_that("numeric_values", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_numeric",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = formula_n,
quantiles = 0.5,
output.type = "numeric",
parse = TRUE,
mapping =
aes(label = sprintf(my.format,
after_stat(b_0), after_stat(b_1),
after_stat(b_2), after_stat(b_3)))) +
facet_wrap(~group, ncol = 1)
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("textual_positions", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_0",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE)
)
vdiffr::expect_doppelganger("stat_quant_eq_1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_2",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_smooth(method = "lm", formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_4",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
geom = "label")
)
vdiffr::expect_doppelganger("stat_quant_eq_5",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_smooth(method = "lm", formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_6",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_7",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_8",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = "right", label.y = "bottom",
geom = "label")
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("numeric_positions", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_n1",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.05, label.y = 0.05,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n2",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.05, label.y = 0.05,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n3",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0, label.y = -1e5,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_n4",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0, label.y = -1e5,
geom = "label")
)
vdiffr::expect_doppelganger("stat_quant_eq_n5",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 0.95, label.y = 0.5,
geom = "text_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n6",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 1, label.y = 0.5,
geom = "label_npc")
)
vdiffr::expect_doppelganger("stat_quant_eq_n7",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 95, label.y = 5e5,
geom = "text")
)
vdiffr::expect_doppelganger("stat_quant_eq_n8",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quantile(formula = formula) +
stat_quant_eq(formula = formula, parse = TRUE,
label.x = 95, label.y = 5e5,
geom = "label")
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
test_that("rounding_signif", {
withCallingHandlers({
vdiffr::expect_doppelganger("stat_quant_eq_formula_x_round",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ x,
parse = TRUE,
rho.digits = 3,
coef.digits = 6,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
vdiffr::expect_doppelganger("stat_quant_eq_formula_1_round",
ggplot(my.data, aes(x, y)) +
geom_point() +
stat_quant_eq(formula = y ~ 1,
parse = TRUE,
rho.digits = 2,
coef.digits = 4,
mapping =
aes(label = paste(after_stat(eq.label),
after_stat(rho.label),
after_stat(AIC.label),
sep = "~~")))
)
}, warning=function(w) {
if (startsWith(conditionMessage(w), "Solution may be nonunique"))
invokeRestart("muffleWarning")
})
})
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