Nothing
acontext("TestROC")
data(TestROC, package="animint2")
##RColorBrewer::display.brewer.all()
## x <- RColorBrewer::brewer.pal(12, "Paired")
## cat(deparse(x))
algo.colors <-
c(hmcan="#A6CEE3",
hmcan.broad="#1F78B4",
PeakSegJoint="grey40",
macs="#FDBF6F",
macs.broad="#FF7F00")
path.before.params <- list(
title="Test ROC curves, predicted peaks and errors",
roc=ggplot()+
geom_path(aes(FPR, TPR, group=Model, key=Model, color=Model),
data=TestROC$roc)+
scale_color_manual(values=algo.colors, breaks=names(algo.colors))+
geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter),
size=parameter,
fill=parameter),
shape=21,
data=subset(TestROC$parameters, parameter=="learned"))+
geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter),
size=parameter,
fill=parameter),
shape=21,
data=subset(TestROC$parameters, parameter=="default"))+
geom_point(aes(FPR, TPR, color=Model,
key=ModelParam),
clickSelects="ModelParam",
size=4,
alpha=0.9,
data=subset(TestROC$roc, same.as.prev==FALSE))+
scale_fill_manual(values=c(default="black", learned="white"))+
scale_size_manual(values=c(default=7, learned=10))+
scale_shape_manual(values=c(default=20, learned=1))+
coord_equal()+
theme_grey()+
scale_x_continuous(paste(
"False positive rate in test labels",
"= Probability(peak | no peak)"),
breaks=seq(0, 1, by=0.2))+
scale_y_continuous(paste(
"True positive rate in test labels",
"= Probability(peak | peak)"),
breaks=seq(0, 1, by=0.2))+
theme(panel.margin=grid::unit(0, "lines")),
first=list(ModelParam="PeakSegJoint -0.8"))
test_that("path before params, 5 paths rendered", {
info <- animint2HTML(path.before.params)
entry.list <- info$plots$roc$legend$Model$entries
linetype.computed <- sapply(entry.list, "[[", "pathlinetype")
linetype.expected <- rep(1, 5)
expect_identical(linetype.computed, linetype.expected)
path.list <- getNodeSet(info$html, '//g[@class="geom1_path_roc"]//path')
expect_equal(length(path.list), 5)
stroke.vec <- getStyleValue(
info$html, '//td[@class="roc_legend"]//line', "stroke")
expect_color(stroke.vec, algo.colors)
})
path.after.params <- list(
title="Test ROC curves, predicted peaks and errors",
roc=ggplot()+
geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter),
size=parameter,
fill=parameter),
shape=21,
data=subset(TestROC$parameters, parameter=="learned"))+
geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter),
size=parameter,
fill=parameter),
shape=21,
data=subset(TestROC$parameters, parameter=="default"))+
scale_color_manual(values=algo.colors, breaks=names(algo.colors))+
geom_path(aes(FPR, TPR, group=Model, key=Model, color=Model),
data=TestROC$roc)+
geom_point(aes(FPR, TPR, color=Model,
key=ModelParam),
clickSelects="ModelParam",
size=4,
alpha=0.9,
data=subset(TestROC$roc, same.as.prev==FALSE))+
scale_fill_manual(values=c(default="black", learned="white"))+
scale_size_manual(values=c(default=7, learned=10))+
scale_shape_manual(values=c(default=20, learned=1))+
coord_equal()+
theme_grey()+
scale_x_continuous(paste(
"False positive rate in test labels",
"= Probability(peak | no peak)"),
breaks=seq(0, 1, by=0.2))+
scale_y_continuous(paste(
"True positive rate in test labels",
"= Probability(peak | peak)"),
breaks=seq(0, 1, by=0.2))+
theme(panel.margin=grid::unit(0, "lines")),
first=list(ModelParam="PeakSegJoint -0.8"))
test_that("path after params, 5 paths rendered", {
info <- animint2HTML(path.after.params)
entry.list <- info$plots$roc$legend$Model$entries
linetype.computed <- sapply(entry.list, "[[", "pathlinetype")
linetype.expected <- rep(1, 5)
expect_identical(linetype.computed, linetype.expected)
path.list <- getNodeSet(info$html, '//g[@class="geom3_path_roc"]//path')
expect_equal(length(path.list), 5)
stroke.vec <- getStyleValue(
info$html, '//td[@class="roc_legend"]//line', "stroke")
expect_color(stroke.vec, algo.colors)
})
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