2
Ich möchte ein Diagramm erstellen, das aus einem Histogramm mit zwei überlagerten Dichtekurven besteht. Diese Dichtediagramme bestehen aus Punkten aus der Verteilung des übergeordneten Histogramms. Was ich gerne sehen möchte, ist wie die Handlung in this Frage gesehen - siehe die Antwort, die die roten und grünen Verteilungen produziert.ggplot2: Plots mit mehreren Dichtewerten, die nicht mit der Verteilung des Elternhistogramms übereinstimmen
Hier sind meine Daten:
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habe ich versucht, über die Handlung in der Antwort zu imitieren, indem neuen Datenrahmen zu schaffen, in den Kind-Verteilungen anzeigt Mitgliedschaft. Weisen Sie die obigen Daten der Variablen dat zu.
library(ggplot2)
g1 <- dat[dat$Filter == "Signal", ]
g2 <- dat[dat$Filter == "Background", ]
ggplot(dat, aes(x = Cutoff)) +
geom_histogram(aes(y = ..density..), fill = "grey60", bins = 100) +
stat_function(fun = dnorm,
args = list(mean = mean(g1$Cutoff),
sd = sd(g1$Cutoff)),
geom = "density",
fill = "chartreuse3",
alpha = 0.5) +
stat_function(fun = dnorm,
args = list(mean = mean(g2$Cutoff),
sd = sd(g2$Cutoff)),
geom = "density",
fill = "firebrick2",
alpha = 0.5) +
theme_bw()
jedoch die Handlung, die ich von diesem erhalten wie folgt aussieht:
Während die Dichtekurven die allgemeine Form des Histogramms folgen, die rote Spitze viel höher als das erscheint Histogramm. Also, missverstehe ich etwas fundamentales darüber, wie Dichtediagramme und Histogramme unterschiedlich sind? Befinden sie sich insgesamt auf verschiedenen y-Achsen-Skalen? Wie kann ich meine Skalen so ändern, dass der resultierende Plot dem Beispiel in der oben verlinkten StackOverflow-Antwort näher kommt? Beachten Sie, dass in meinem tatsächlichen Datensatz, der 5000 Beobachtungen enthält, der rote Peak noch ausgeprägter erscheint und weit über die Grenzen des Histogramms hinausragt. Der Umgang mit den Mülleimern hilft ein bisschen, aber nicht viel.
