使用因子时,在面板图中操纵x轴

时间:2014-04-06 20:38:22

标签: r plot ggplot2 data-visualization axis-labels

我使用的代码是:

mcgc <- ggplot(sam, aes(x = person,y = m, colour = X)) +
              geom_point(size = 0.75) +
              scale_colour_gradient2(high="red", mid="green", limits=c(0,1), guide = "colourbar") +
              geom_hline(aes(yintercept = mad, linetype = "mad"), colour = "blue", size=0.75, show_guide = TRUE) +
              geom_hline(aes(yintercept = mmad, linetype = "mmad"), colour = "black", size=0.75, show_guide = TRUE)  +
              facet_wrap(~ Plan, scales = "free", ncol = 4) +
              scale_linetype_manual(name = "Plan of Health Care", values = c("mad" = 1, "mmad" = 1),guide = "legend")

对于这些数据:

Plan  person X       m  mad  mmad
1  1 95 0.323000 0.400303 0.12
1  2 275 0.341818 0.400303 0.12
1  3  2 0.618000 0.400303 0.12
1  4 75 0.320000 0.400303 0.12
1  5 13 0.399000 0.400303 0.12
1  6 20 0.400000 0.400303 0.12
2  7 219 0.393000 0.353350 0.45
2  8 50 0.060000 0.353350 0.45
2  9 213 0.390000 0.353350 0.45
2  15 204 0.496100 0.353350 0.45
2  19 19 0.393000 0.353350 0.45
2  24 201 0.388000 0.353350 0.45
3  30 219 0.567 0.1254 0.89
3  14 50 0.679 0.1254 0.89
3  55 213 0.1234 0.1254 0.89
3  18 204 0.6135 0.1254 0.89
3  59 19 0.39356 0.1254 0.89
3  101 201 0.300 0.1254 0.89

我正在尝试使用以下方法操纵x轴:

scale_x_continuous(breaks = c(min(person), median(person), max(person)), labels = c(min(person), median(person), max(person))) 

但是,鉴于我必须将person更改为正确排序数据的因素,上述代码不起作用。我得到错误,取决于我如何摆弄代码:

Error: Discrete value supplied to continuous scale
Error in Summary.factor(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,  : 
  min not meaningful for factors

person更改为数字不起作用,因为整个数据集的累计person将出现在每个计划图表面板上,而不是每个计划的特定比例。

有解决方法吗?

1 个答案:

答案 0 :(得分:0)

单独构建绘图并使用gridExtra包中的函数对它们进行分组。

require(ggplot2)

#set breaks and labels (min, median and max) in panel 1
sam1 = subset(sam,sam$Plan==1)
breaks1=c(min(sam1$person),median(sam1$person),max(sam1$person))

plan1 = ggplot(sam1, aes(x = person,y = m, colour=m)) +
  geom_point(size = 2.5) +
  scale_colour_gradient(limits=c(0,1), low="green", high="red", guide="none") +
  geom_hline(aes(yintercept = mad, linetype = "solid"), colour = "blue", size=0.75, show_guide = TRUE) +
  geom_hline(aes(yintercept = mmad, linetype = "solid"), colour = "black", size=0.75, show_guide = TRUE) +
  scale_y_continuous(limits=c(0,1)) +
  scale_x_continuous("",breaks=breaks1,labels=breaks1) + 
  ggtitle("1") +
  theme_bw()

#set breaks and labels (min, median and max) in panel 2
sam2=subset(sam,sam$Plan==2)
breaks2=c(min(sam2$person),median(sam2$person),max(sam2$person))

plan2 = ggplot(sam2, aes(x = person,y = m, colour = m)) +
  geom_point(size = 2.5) +
  scale_colour_gradient(limits=c(0,1), low="green", high="red", guide="none") +
  geom_hline(aes(yintercept = mad, linetype = "solid"), colour = "blue", size=0.75, show_guide = TRUE) +
  geom_hline(aes(yintercept = mmad, linetype = "solid"), colour = "black", size=0.75, show_guide = TRUE)  +
  scale_y_continuous("",limits=c(0,1)) +
  scale_x_continuous("Person",breaks=breaks2,labels=breaks2) +
  ggtitle("2") +
  theme_bw()

#set breaks and labels (min, median and max) in panel 3
sam3=subset(sam,sam$Plan==3)
breaks3=c(min(sam3$person),median(sam3$person),max(sam3$person))

plan3 = ggplot(sam3, aes(x = person,y = m, colour = m)) +
  geom_point(size = 2.5) +
  scale_colour_gradient(limits=c(0,1), low="green", high="red", guide="colourbar") +
  geom_hline(aes(yintercept = mad, linetype = "mad"), colour = "blue", size=0.75, show_guide = TRUE) +
  geom_hline(aes(yintercept = mmad, linetype = "mmad"), colour = "black", size=0.75, show_guide = TRUE)  +
  scale_linetype_manual(name = "Plan of Health Care", values = c("mad" = 1, "mmad" = 1),guide = "legend") +
  scale_y_continuous("",limits=c(0,1)) +
  scale_x_continuous("",breaks=breaks3,labels=breaks3) +
  ggtitle("3") +
  theme_bw()

#using the function form user user971102, posted here: http://stackoverflow.com/questions/14920662/arrange-many-plots-using-gridextra
g_legend<-function(a.gplot){
  tmp <- ggplot_gtable(ggplot_build(a.gplot))
  leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
  legend <- tmp$grobs[[leg]]
  return(legend)}

mylegend = g_legend(plan3)

require(gridExtra)

#adjusting panel widths with code adapted from user971102 and hrbrmstr's code, posted here: http://stackoverflow.com/questions/14920662/arrange-many-plots-using-gridextra
grid.arrange(arrangeGrob(plan1 + theme(legend.position="none"),
                         plan2 + theme(legend.position="none"),
                         plan3 + theme(legend.position="none"),
                         ncol=3),mylegend,
                         widths=unit(c(900,90),"pt"),nrow=1)

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