0
variable <- c("PM10","SO2","NO","NO2","PM10","SO2","NO","NO2","PM10","SO2","NO","NO2","PM10","SO2","NO","NO2","PM10","SO2","NO","NO2","PM10","SO2","NO","NO2")
sex <- c("male","male","male","male","female","female","female","female",
"male","male","male","male","female","female","female","female",
"male","male","male","male","female","female","female","female")
exposureperiod <- c("P1","P1","P1","P1","P1","P1","P1","P1",
"P2","P2","P2","P2","P2","P2","P2","P2",
"P3","P3","P3","P3","P3","P3","P3","P3")
set.seed(100)
coef <- runif(24, -2, 2)
coef_lb <- coef - 0.3
coef_ub <- coef + 0.3
df <- data.frame(variable,sex,exposureperiod,coef,coef_lb,coef_ub)
df$variable <- factor(df$variable,levels=c("PM10","SO2","NO","NO2"))
levels(df$variable) <- c("PM[10]","SO[2]", "NO", "NO[2]")
df$exposureperiod <- factor(df$exposureperiod,levels=c("P1","P2","P3"))
df$sex <- factor(df$sex,levels=c("male","female"))
df <- df[order(df$variable,df$sex),]
df$aux <- c(1,2,3,
5,6,7,
11,12,13,
15,16,17,
21,22,23,
25,26,27,
31,32,33,
35,36,37)
library(ggplot2)
plot <- ggplot(data = df, aes(x = aux, y = coef)) +
geom_pointrange(aes(ymin=coef_lb,ymax=coef_ub),shape="none") +
geom_point(aes(shape = exposureperiod)) +
scale_shape_discrete(name ="Exposure period",
breaks=c("P1", "P2","P3"),
labels=c("P1","P2","P3")) +
scale_x_continuous("Sex and Pollutant",breaks=c(2,6,12,16,22,26,32,36),
labels=c("Boys","Girls","Boys","Girls","Boys","Girls","Boys","Girls")) +
scale_y_continuous("Mean Difference in Tanner Stage",
limits=c(-3, 3),
breaks=round(seq(-3, 3, by = 0.5),1)) +
geom_hline(yintercept=0,alpha=1,linetype="dashed") +
theme(axis.text.x = element_text()) +
theme_bw(base_size = 16,base_family="Arial") +
theme(legend.text.align = 0,
legend.title = element_text(face="plain"),
legend.key = element_blank(),
legend.position = "bottom") +
guides(shape= guide_legend(nrow = 3,byrow = TRUE)) +
theme(text = element_text(colour = "black",face="plain"),
axis.title.y = element_text(face="plain"),
axis.title.x = element_text(face="plain"),
axis.text.x = element_text(face="plain",hjust = 0),
axis.text.y = element_text(face="plain")) +
theme(panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.line = element_line(colour = "black"))+
theme(axis.ticks = element_line(size = 1))
plot
上記のスクリプトでは、次のようなグラフが得られました。ggplotに複数レベルのx軸を追加する方法
しかし、私は下のグラフのように、PM10、SO2、NO、NO2とを示しており、x軸の別のレベルを追加します。 (説明のために、私はこれらの汚染物質を手動で追加しました。)もちろん、x軸のタイトルと凡例はそれに応じて下に移動する必要があります。
私は以前にファセットを使用しましたが、ファセットによって生成される汚染物質の間のギャップを避けたいと思います。
ありがとうございます。
プロットにファセッティングしてみてください(これの近似にテーマとファセットを調整する)ことができます。汚染物質の間の小さなギャップ(ファセットで手に入るように)はプロットを改善します。 – Roland
実際に私はファセットを使用しましたが、x軸は4つの線分に分割され、1つに結合できませんでした。私は汚染物質の間の小さな隙間を避けたいと考えて、私はこれに向かいます。 – cyrusjan
あなたはggplot2で不運です。ギャップがないと、データを持っていることが分かります。 – Roland