微調GGPLOT2 GEOM的箱線圖

Question

我有這個data.frame

my.df = data.frame(mean = c(0.045729661,0.030416531,0.043202944,0.025600973,0.040526913,0.046167044,0.029352414,0.021477789,0.027580529,0.017614864,0.020324659,0.027547972,0.0268722,0.030804717,0.021502093,0.008342398,0.02295506,0.022386184,0.030849534,0.017291356,0.030957321,0.01871551,0.016945678,0.014143042,0.026686185,0.020877973,0.028612298,0.013227244,0.010710895,0.024460647,0.03704981,0.019832982,0.031858501,0.022194059,0.030575241,0.024632496,0.040815748,0.025595652,0.023839083,0.026474704,0.033000706,0.044125751,0.02714219,0.025724641,0.020767752,0.026480009,0.016794441,0.00709195), std.dev = c(0.007455271,0.006120299,0.008243454,0.005552582,0.006871527,0.008920899,0.007137174,0.00582671,0.007439398,0.005265133,0.006180637,0.008312494,0.006628951,0.005956211,0.008532386,0.00613411,0.005741645,0.005876588,0.006640122,0.005339993,0.008842722,0.006246828,0.005532832,0.005594483,0.007268493,0.006634795,0.008287031,0.00588119,0.004479003,0.006333063,0.00803285,0.006226441,0.009681048,0.006457784,0.006045368,0.006293256,0.008062195,0.00857954,0.008160441,0.006830088,0.008095485,0.006665062,0.007437581,0.008599525,0.008242957,0.006379928,0.007168385,0.004643819), parent.origin = c("paternal","paternal","paternal","paternal","paternal","paternal","maternal","maternal","maternal","maternal","maternal","maternal","paternal","paternal","paternal","paternal","paternal","paternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","maternal","paternal","paternal","paternal","paternal","paternal","paternal","maternal","maternal","maternal","maternal","maternal","maternal","paternal","paternal","paternal","paternal","paternal","paternal"), group = c("F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:M","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1r:F","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:M","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F","F1i:F"), replicate = c(1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6,1,2,3,4,5,6)) 

我有畫GGPLOT2 geom_boxplot驗證碼：

p1 = ggplot(data = my.df, aes(factor(replicate), color = factor(parent.origin))) 
p1 = p1 + geom_boxplot(aes(fill = factor(parent.origin), widht = 0.3, lower = mean - std.dev, upper = mean + std.dev, middle = mean, ymin = mean - 3*std.dev, ymax = mean + 3*std.dev), stat="identity") + facet_wrap(~group, ncol = 4)+scale_color_manual(values = c("red","blue"),labels = c("maternal","paternal"),name = "parental allele")+scale_fill_manual(values = c("red","blue")) 

我的問題是： 1。我想中心線添加到每個盒（黑色說） 2.我想作的箱子窄，以便在任何藍色和紅色方框給定的複製不相互重疊 3.我想使晶須線虛線或點

任何想法？

Answer 1

您可以使用geom_segment添加中心線。我使用alpha參數作爲以複製爲中心的行的開始和結束。

library(ggplot2) 
alpha=0.3 

p1 = ggplot(data = my.df, aes(factor(replicate), 
           color = factor(parent.origin))) 
p1 = p1 + geom_boxplot(aes(fill = factor(parent.origin), 
          lower = mean - std.dev, 
          upper = mean + std.dev, 
          middle = mean, 
          ymin = mean - 3*std.dev, 
          ymax = mean + 3*std.dev), 
         width = 0.3, 
         linetype="dotted", 
         stat="identity") + 
    facet_wrap(~group, ncol = 4)+ 
    scale_color_manual(values = c("red","blue"),labels = c("maternal","paternal"), 
        name = "parental allele")+ 
    scale_fill_manual(values = c("red","blue")) + 
    geom_segment(aes(x = replicate-alpha, 
        y = mean, 
        xend = replicate+alpha, 
        yend = mean), 
       inherit.aes=FALSE,color="black",size=1.5) 


p1 

Answer 2

下面是我工作：

p1 = ggplot(data = my.df, aes(factor(replicate), color = factor(parent.origin))) 
p1 = p1 + geom_boxplot(aes(fill = factor(parent.origin),lower = mean - std.dev, 
    upper = mean + std.dev, middle = mean, ymin = mean - 3*std.dev, 
    ymax = mean + 3*std.dev), position = position_dodge(width = 0), width = 0.5, 
     alpha = 0.5, stat="identity") + 
    facet_wrap(~group, ncol = 4)+ 
    scale_fill_manual(values = c("red","blue"),labels = c("maternal","paternal"), 
     name = "parental allele")+ 
    scale_colour_manual(values = c("red","blue"),labels = c("maternal","paternal"), 
     name = "parental allele") 

的position_dodge參數內的寬度值決定了紅色和藍色框之間的分離按每個複製，以及其他寬度參數控制盒子的寬度。 alpha值控制透明度。