使用"旧"ggplot2代码

Question

我用ggplot 0.8.9做了很多数字(这就是我现在还在运行的).现在我需要修改这些数字以包含图例.我遇到了各种难以解决的问题,因为我对这些问题感到非常困惑theme,opts而且很多SO答案都适用于以后的版本.

在这一点上,似乎我需要更新ggplot2并重写我的所有代码,这样我才能传说我的数字. 这是真的？ 我已经阅读了ggplot2过渡指南,它看似真实.

这是旧代码的样子(不产生图例):这里是为了重现性而提供的数据:mean10v2和stderr10.

me10<-read.table("mean10v2.txt", header=TRUE)
se10<-read.table("stderr10.txt", header=TRUE)

ggplot() +
geom_ribbon(aes(x = me10[me10$trt=="CC", "tu"], ymin=(me10[me10$trt=="CC", "biomassA"]-    
  se10[se10$trt=="CC", "biomassA"]), ymax=(me10[me10$trt=="CC",  
  "biomassA"]+se10[se10$trt=="CC", "biomassA"])), alpha=0.25) +
geom_line(aes(me10[me10$trt=="CC", "tu"], y=me10[me10$trt=="CC", "biomassA"]), size=1)+  
geom_ribbon(aes(x = me10[me10$trt=="PF", "tu"], ymin=(me10[me10$trt=="PF", "biomassA"]- 
  se10[se10$trt=="PF", "biomassA"]), ymax=(me10[me10$trt=="PF", 
  "biomassA"]+se10[se10$trt=="PF", "biomassA"])), alpha=0.25) +
geom_line(aes(me10[me10$trt=="PF", "tu"], y=me10[me10$trt=="PF", "biomassA"]), 
  colour="red2", linetype="dashed", size=1) + 
geom_ribbon(aes(x = me10[me10$trt=="P", "tu"], ymin=(me10[me10$trt=="P", "biomassA"]-
  se10[se10$trt=="P", "biomassA"]), ymax=(me10[me10$trt=="P",   
  "biomassA"]+se10[se10$trt=="P", "biomassA"])), alpha=0.25) +
geom_line(aes(me10[me10$trt=="P", "tu"], y=me10[me10$trt=="P", "biomassA"]),    
  colour="blue3", linetype="dotted", size=1) + 
opts(panel.grid.minor = theme_blank()) +
opts(panel.grid.major = theme_blank()) +
opts(panel.background = theme_blank()) +
opts(axis.line = theme_segment()) +
opts(legend.position=c(.5,.5)) +
opts(axis.title.x = theme_text(size=12,vjust=-0.5)) +
opts(axis.title.y = theme_text(size=12,angle=90)) +
opts(axis.text.x = theme_text(colour="black", size=16)) +
opts(axis.text.y = theme_text(colour="black", size=16)) +
annotate("text", x = -Inf, y = Inf, label = "a", face="bold", hjust = -5, vjust=2, size     
  = 9) + 
ylab("") +
xlab("") +
ylim(0,2200)

Answer 1

更新theme部件实际上非常简单.你真的只需要改变opts(),以theme()和替换theme_*用element_*.其他一些名称已经改变,就像你将使用element_line而不是theme_segment.

但更一般地说,你使用ggplot都是错误的:

my_df <- me10[,c('trt','tu','biomassA')]
my_se <- setNames(se10[,c('trt','tu','biomassA')],c('trt','tu','se'))

my_df <- merge(my_df,my_se)

ggplot(data = my_df,aes(x = tu,y = biomassA)) + 
    geom_ribbon(aes(group = trt,ymin = biomassA - se,ymax = biomassA + se),alpha = 0.25) + 
    geom_line(aes(group = trt,linetype = trt,colour = trt)) + 
    labs(x = "",y = "") + 
    ylim(0,2200) + 
    theme(panel.grid.major = element_blank(),
          panel.grid.minor = element_blank(),
          panel.background = element_blank(),
          axis.line = element_line(),
          legend.position=c(.5,.5),
          axis.title.x = element_text(size=12,vjust=-0.5),
          axis.title.y = element_text(size=12,angle=90),
          axis.text.x = element_text(colour="black", size=16),
          axis.text.y = element_text(colour="black", size=16)) + 
    annotate("text", x = -Inf, y = Inf, label = "a", face="bold", hjust = -5, vjust=2, size = 9)

请注意它是多么清洁,并将数据放入适当的形式只需要三行.还要注意,绝对没有必要继续重复opts()或者theme()要求每一个......单身....你......设置.

然后,如果你想选择为每个组特定的颜色/线型,你做的是使用缩放功能,而不是由单独设置它们:

+ scale_colour_manual(values = c('black','red2','blue3')) + 
  scale_linetype_manual(values = c('solid','dashed','dotted'))