Question

我有一个非常大的dataframe，从1985年至今的五月到九月的观察结果就像这样的例子：

month<-c("May","June","July","August","September","May","June","July","August","September")
 year<-c("1985","1985","1985","1985","1985","1986","1986","1986","1986","1986")
 value<-c(2,6,4,5,9,7,2,6,5,4)
 df<-data.frame(month,year,value)

当我尝试绘制按年份分组的数据时，月份的顺序会发生变化。我试图订购数据并将月份列设置为一个因素，但仍然得到以下结果。

ggplot(df, aes(x=month, y=value,group=year))+theme_bw()+theme(plot.background = element_blank(),panel.grid.major = element_blank()
                                                           ,panel.grid.minor = element_blank()) +ylim(0,10)+labs(x="Month",y=expression(bold(paste("variable here"))))+
    theme(axis.title.x = element_text(face="bold", size=12),axis.text.x = element_text(size=9))+
    theme(axis.title.y = element_text(face="bold", size=12),axis.text.y = element_text(size=9))+theme(axis.text.x = element_text(angle = 45, hjust = 1))+
    geom_line(linetype="solid", size=1)+geom_point(color="gray7", size=2,shape=15)

任何想法如何解决这个问题？我想保留我的专栏（5月，6月，7月，8月，9月）的顺序

由于

Answer 1

将month设置为一个因子并指定级别的顺序（使用参数levels）可以解决问题，如下所示。

month<-c("May","June","July","August","September","May","June","July","August","September")
    year<-c("1985","1985","1985","1985","1985","1986","1986","1986","1986","1986")

value<-c(2,6,4,5,9,7,2,6,5,4)

df<-data.frame(month,year,value)

df$month <- factor(df$month, levels = c("May", "June", "July", "August", "September"))

ggplot(df, aes(x=month, y=value,group=year))+theme_bw()+theme(plot.background = element_blank(),panel.grid.major = element_blank()
                                  ,panel.grid.minor = element_blank()) +ylim(0,10)+labs(x="Month",y=expression(bold(paste("variable here"))))+
    theme(axis.title.x = element_text(face="bold", size=12),axis.text.x = element_text(size=9))+
    theme(axis.title.y = element_text(face="bold", size=12),axis.text.y = element_text(size=9))+theme(axis.text.x = element_text(angle = 45, hjust = 1))+
    geom_line(linetype="solid", size=1)+geom_point(color="gray7", size=2,shape=15)

在ggplot，R中安排每月时间序列的标签

1 个答案: