ggplot2中的X轴刻度标记

Question

这里我有一个数据帧，包含3264个归一化数据点，用于34个样本（3264 x 34）。通过定义休息和标签

cl21 <- geom_line(aes(y=CL021, col="CL")) 
cl22 <- geom_line(aes(y=CL022, col="CL")) 
cl24 <- geom_line(aes(y=CL024, col="CL")) 
cl25 <- geom_line(aes(y=CL025, col="CL")) 
cl27 <- geom_line(aes(y=CL027, col="CL")) 
cl28 <- geom_line(aes(y=CL028, col="CL")) 
cl30 <- geom_line(aes(y=CL030, col="CL")) 
cl33 <- geom_line(aes(y=CL033, col="CL")) 
cl35 <- geom_line(aes(y=CL035, col="CL")) 
cl36 <- geom_line(aes(y=CL036, col="CL")) 
cl37 <- geom_line(aes(y=CL037, col="CL")) 
cl38 <- geom_line(aes(y=CL038, col="CL")) 
cl39 <- geom_line(aes(y=CL039, col="CL")) 
cl40 <- geom_line(aes(y=CL040, col="CL")) 
ng172 <- geom_line(aes(y=NG172, col="NG")) 
ng176 <- geom_line(aes(y=NG176, col="NG")) 
ng178 <- geom_line(aes(y=NG178, col="NG")) 
ng190 <- geom_line(aes(y=NG190, col="NG")) 
ng191 <- geom_line(aes(y=NG191, col="NG")) 
ng195 <- geom_line(aes(y=NG195, col="NG")) 
ng218 <- geom_line(aes(y=NG218, col="NG")) 
ng232 <- geom_line(aes(y=NG232, col="NG")) 
ng244 <- geom_line(aes(y=NG244, col="NG")) 
ng264 <- geom_line(aes(y=NG264, col="NG")) 
ng285 <- geom_line(aes(y=NG285, col="NG")) 
ng289 <- geom_line(aes(y=NG289, col="NG")) 
ng299 <- geom_line(aes(y=NG299, col="NG")) 
ng302 <- geom_line(aes(y=NG302, col="NG")) 
ng306 <- geom_line(aes(y=NG306, col="NG")) 
ng318 <- geom_line(aes(y=NG318, col="NG")) 
ng320 <- geom_line(aes(y=NG320, col="NG")) 
ng335 <- geom_line(aes(y=NG335, col="NG")) 
ng338 <- geom_line(aes(y=NG338, col="NG")) 
ng367 <- geom_line(aes(y=NG367, col="NG")) 
gplot(normDF, aes(x=pos, y= value))+ cl21 +cl22 +cl24 +cl25 +cl27 +cl28 +cl30 +cl33 +cl35 +cl36 +cl37 +cl38 +cl39 +cl40 + ng172+ ng176+ ng178+ ng190+ ng191+ ng195+ ng218+ ng232+ ng244+ ng264+ ng285+ ng289+ ng299+ ng302+ ng306+ ng318+ ng320+ ng335+ ng338+ ng367 -> p 

我尝试添加自定义的刻度线沿x轴：

p + xlab("FGD1 exons")+ ylab('Normalized Depth')+ scale_alpha_discrete(breaks= c("327","492","675","822","945","997","1098","1212","1380","1460","1620","1798","1968","2079","2542","2741","2936","3263"), labels= c("1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18"))+ theme(axis.text.x = element_text(angle=90,vjust=0.5, size=15,hjust=1)) 

但蜱虫没有出现在我的情节我已经使用下面的脚本生成的ggplot！我想知道这里有没有人可以为我提供这方面的建议！

Answer 1

我认为你需要使用scale_x_continuous，因为你的值是连续的。

下面是一个例子，包括MWE，展示了如何使用melt从reshape2包来简化事情要做加快你的进程了一下：

library(reshape2) 
library(ggplot2) 

df <- 
    data.frame(
    x = 1:100 
    , ya = 1:100 
    , yb = seq(1,50, length.out = 100) 
    , yc = seq(1,25, length.out = 100) 
    , yd = seq(1,10, length.out = 100) 
) 

melted <- 
    melt(df, id.vars ="x") 

melted$set <- 
    ifelse(melted$variable %in% c("ya","yb") 
     , "set A" 
     , "set B") 

head(melted) 

ggplot(melted 
     , aes(x, value 
      , group = variable 
      , col = set)) + 
    geom_line() + 
    scale_x_continuous(breaks = c(1, 20, 55, 80) 
        , labels = c(1,2,3,4)) 

我错过了列名称包含原始设置中的颜色信息，甚至可以使用substr自动执行颜色：

df <- 
    data.frame(
    x = 1:100 
    , CLa = 1:100 
    , CLb = seq(1,50, length.out = 100) 
    , NGc = seq(1,25, length.out = 100) 
    , NGd = seq(1,10, length.out = 100) 
) 

melted <- 
    melt(df, id.vars ="x") 

melted$set <- 
    substr(melted$variable, 1, 2) 

head(melted) 

ggplot(melted 
     , aes(x, value 
      , group = variable 
      , col = set)) + 
    geom_line() + 
    scale_x_continuous(breaks = c(1, 20, 55, 80) 
        , labels = c(1,2,3,4))