R ggplot boîte à moustaches: changement de l'axe des y limiter

Je suis en utilisant ggplot pour créer sevral boxplots de données suivantes:

df<-(structure(list(Effect2 = c("A2", "A2", "A2", "A2", "A2", "A2", 
"A2", "A2", "A2", "A2", "A2", "A2", "A2", "A2", "A1", "A1", "A1", 
"A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", "A1", 
"A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", 
"A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", 
"A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", 
"A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", "A3", 
"A3", "A3", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", 
"B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1", "C3", "C3", "C3", 
"C3", "C3", "C3", "C3", "C3", "C3", "C3", "C3", "C3", "C3", "C3", 
"C3", "C3", "C3", "C3", "C3", "C3", "C3", "C3", "C2", "C2", "C2", 
"C2", "C2", "C2", "C2", "C4", "C4", "C4", "C4", "C4", "C4", "C4", 
"C4", "C4", "C4", "C4", "C1", "C1", "C1", "C1", "C1", "C1", "C1", 
"C1", "C1", "C1", "C1", "C1", "C1", "C1", "C1", "C1", "C1", "C1", 
"C1", "C1", "C1", "C1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", 
"D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", 
"D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", 
"D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", 
"D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", "D1", 
"E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", 
"E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", "E1", 
"E1", "E1", "E1", "E1", "F1", "F1", "F1", "F1", "F1", "F1", "F1", 
"F1", "F1", "F1", "F1", "F1", "F1", "F1", "F1", "F1", "F1", "F1", 
"F1", "F1", "G1", "G1", "G1", "G1", "G1", "G1", "G1", "G1", "G1", 
"G1", "G1", "G1", "G1", "G1", "G1", "G1", "G1", "G1", "G2", "H1", 
"H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", 
"H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", "H1", 
"H1", "H1", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", 
"H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", 
"H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", 
"H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", "H2", 
"H2", "H2", "H2", "H2", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", "H3", 
"H3", "H3", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", 
"H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", 
"H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", 
"H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4", "H4"
), OddsRatioEst = c(0.07, 17.79, 3.16, 4.57, 5.34, 0.09, 0.15, 
0.1, 0.41, 2.16, 2.17, 0.2, 4.32, 5.94, 0.09, 3.28, 10.37, 8.49, 
3.15, 0.15, 0.15, 0.34, 13.78, 0.08, 0.04, 6.01, 0.08, 0.07, 
3.63, 7.92, 2.71, 11.41, 12.52, 80.85, 4.72, 3.4, 6.25, 12.05, 
8.7, 2.28, 3.63, 2.83, 2.36, 3.81, 12.73, 7.77, 3.15, 3.24, 51.21, 
6.99, 7.05, 3.39, 1.93, 4.6, 4.55, 16.3, 41.46, 1.99, 2.07, 2.27, 
9.94, 8.35, 3.27, 4.41, 5, 5.35, 11.47, 4.05, 3.06, 3.05, 8.45, 
2.68, 2.45, 4.41, 25.53, 3.74, 18.2, 2.27, 4.19, 2.69, 13.24, 
8.31, 12.96, 8.46, 11.22, 5.28, 18.88, 5.58, 5.96, 3.98, 8.46, 
2.23, 102.55, 6.48, 2.64, 3.78, 4.25, 3.64, 4.21, 5.19, 2.43, 
6.79, 2.68, 10.31, 7.44, 11.89, 5.53, 16.65, 5.99, 9.37, 19.29, 
5.12, 2.42, 2.98, 11.38, 14.45, 3.72, 4.38, 19.8, 6.29, 6.74, 
9.77, 11.78, 22.23, 3.61, 4.77, 12.05, 7.13, 35.14, 84.47, 8.99, 
10.16, 8.79, 11.21, 9.27, 130.54, 5.09, 22.14, 34.78, 11.93, 
46.06, 4.84, 8.79, 36.47, 15.92, 20.78, 0.07, 0.18, 0.17, 0.36, 
0.23, 0.57, 0.17, 0.41, 0.15, 0.2, 0.58, 0.62, 0.08, 0.53, 2.68, 
0.14, 0.37, 0.19, 0.25, 0.33, 1.68, 0.13, 7.93, 7.77, 108.84, 
6.82, 7.12, 14.64, 2016.8, 4.94, 2.86, 3, 74.58, 6.96, 11.82, 
3.43, 3.02, 17.94, 40.41, 11.23, 3.32, 0.44, 0.51, 0.43, 0.02, 
4.42, 4.74, 2.65, 1.77, 3.58, 0.34, 2.49, 1.68, 4.58, 2.62, 13.75, 
0.48, 1.59, 0.01, 0.13, 0.1, 17.42, 11.34, 17.29, 3.32, 6.82, 
7.06, 4.96, 3.04, 10.39, 0.29, 2.5, 3.39, 7.27, 19.25, 6.54, 
14.29, 101.56, 11.86, 24.13, 12.77, 6.21, 9.35, 5.09, 8.72, 9.93, 
2.77, 16.64, 6.64, 4.51, 11.98, 6.99, 2.69, 2.93, 4.54, 3.35, 
2.48, 10.31, 1.69, 160.8, 7.69, 2.73, 37.65, 220.84, 14.02, 4.18, 
158.82, 25.92, 10.85, 7.29, 24.36, 7.16, 64.93, 3.25, 2.95, 1.72, 
1.71, 3.66, 2.34, 3.49, 0.24, 3.67, 2.94, 0.11, 1.52, 2.09, 1.61, 
1.55, 1.59, 2.5, 0.19, 4.1, 2.65, 2.59, 1.29, 11.68, 4.81, 0.09, 
3.14, 2.08, 0.01, 0.11, 0.27, 8.01, 5.59, 0.46, 0.33, 4.32, 0.47, 
2.27, 0.02, 0.11, 0.23, 4.13, 1.98, 12.67, 0.24, 7.55, 5.79, 
0.01, 5.85, 0.02, 19.41, 6.51, 0.51, 0.04, 3.26, 0.12, 6.34, 
0.25, 0.07, 0.06, 13.71, 1.85, 277.25, 111.76, 548.23, 30.23, 
4.63, 3.04, 5.23, 5.37, 0.16, 4.53, 0.09, 0.13, 2.05, 2.04, 2.64, 
11.35, 2.47, 29.4, 0.26, 2.1, 1.83, 0.85, 7.33, 4.84, 0.1, 22.84, 
31.24, 18.17, 4.08, 5.32, 11.99, 6.21, 0.26, 15.2, 16.84, 2.55, 
12.22, 3.2, 14.25, 0.02, 2.62, 0.38, 4.64, 23.27, 2.47, 6.57, 
2.41, 8.64, 2.4, 7.06, 4.8, 167.14, 3.05, 27.73, 25.86, 5.84, 
4.68, 5.1, 11.55, 10.55, 44.11, 21.53, 7.95, 6.06, 9.41, 26.45, 
24.42, 6.95, 79.77, 120.19, 67.39, 5.79, 23.37, 234.51, 41.03, 
10.67, 11.29, 13.07, 56.72, 86.03, 723.44, 40.78, 238.65, 12.76, 
765.98, 42.38, 13.33, 30.93, 12.92, 12.8, 15.5, 104.96, 15.69, 
111.41, 47.93, 17.37, 94.1, 32.88, 58.79, 31.44, 7.7, 81.19, 
84.48, 411.86, 69.94, 17.27, 21.52, 35.4, 15.74, 5.52, 15.03, 
31, 24.32, 29.6, 23.08, 251.96, 8257.41, 43.17, 237.92, 9.05, 
61.38, 5.65, 15.66, 7.87, 302850763, 13.21, 81.4, 31.63, 69.81, 
10.89, 192.84, 168.78, 389.25, 7.08, 18.41, 53.07, 5.82, 128.07, 
50.1, 142.92, 26.9, 629.3, 28.91, 1006.21, 2349.3, 320.77, 136.88, 
115.99, 15, 4884.28, 9.97, 5.91, 6.08, 5.11, 7.39, 7.68, 4.77, 
5.42, 3.49, 4.16, 11.32, 0, 4.01, 4.91, 9.08, 18.33, 10.86, 12.95, 
10.64, 6.03, 2.71, 4.93, 7.64, 345.75, 24, 3.92, 4.48, 9.36, 
1.22, 4, 30.22, 31.37, 56.32, 25.68, 5.42, 66, 15.03, 9.75, 27.1, 
9.36, 74.58, 21.51)), .Names = c("Effect2", "OddsRatioEst"), class = "data.frame", row.names = c(NA, 
-512L))

Il y a plusieurs extrêmes des valeurs aberrantes dans les données qui s'étendent de l'axe y, de sorte que le graphique est complètement inutile :
R ggplot boîte à moustaches: changement de l'axe des y limiter

J'ai changé l'axe des limites avec les éléments suivants:

ggplot(df, aes(x=Effect2, y=OddsRatioEst)) + geom_boxplot(outlier.colour=NA) +
scale_y_continuous(limits=c(0,100), breaks=seq(0,100,10), expand = c(0, 0))

qui semble mieux,
R ggplot boîte à moustaches: changement de l'axe des y limiter

mais cela produit l'avertissement suivant:

Warning message:
Removed 37 rows containing non-finite values (stat_boxplot)

et je me rends compte qu'en fait les boxplots sont remis à l'échelle cependant, je définir mes limites - par exemple, les valeurs de T1, T2 et T3 sont réduits.
R ggplot boîte à moustaches: changement de l'axe des y limiter
Comment puis-je obtenir une représentation fidèle de boxplots sans y compris les grandes valeurs aberrantes?

OriginalL'auteur user2568648 | 2015-01-28

  1. 23

    Utilisation coord_cartesian au lieu de scale_y_continuous:

    ggplot(df, aes(x=Effect2, y=OddsRatioEst)) +
geom_boxplot(outlier.colour=NA) + 
coord_cartesian(ylim = c(0, 100))

    De la coord_cartesian documentation:

    Fixer des limites sur le système de coordonnées de zoom de l'intrigue (comme
    vous êtes en train de regarder avec une loupe), et ne changera pas la
    données sous-jacentes comme la définition de limites sur une échelle.

    La sortie est comme suit. Comme vous pouvez le voir, de ne pas supprimer les valeurs aberrantes, les modifications de l'image quelque peu, de sorte que vous pouvez changer la y limite.
    R ggplot boîte à moustaches: changement de l'axe des y limiter

    Merci. Est-il un moyen de mettre des pauses à l'aide de cette méthode que les arguments breaks, minor_breaks et expand sont tous utilisé dans coord_cartesian?
    Je crois que vous pouvez utiliser scale_y_continuous aux côtés de coord_cartesian de modifier par exemple l'axe des pauses (il suffit de ne pas fournir avec l' ylim argument).
    Je viens d'essayer, et de confirmer que cela fonctionne bien.
    vous pouvez également utiliser l'échelle logarithmique: scale_y_log10() + coord_trans(y="log10") +

    OriginalL'auteur Joe