ggplot 中的回归线

Question

我有一个 2 x 2 ancova with the resulting plot showing 4 regression lines and 4 groups in various colours on the plot. I wish to retain the 4 colours in the plot but only show 2 regression 行用于其中一个变量 - 并非如图所示全部 4 个。数据在这里-

PLD.df <- structure(list(Site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Inshore", "OffReef"
), class = "factor"), Depth = structure(c(1L, 1L, 1L, 1L, 1L, 
1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L), .Label = c("Deep", "Shallow"
), class = "factor"), PLD = c(37L, 38L, 47L, 51L, 51L, 53L, 34L, 
39L, 40L, 45L, 49L, 49L, 26L, 29L, 35L, 35L, 36L, 36L, 37L, 38L, 
38L, 40L, 41L, 46L, 47L, 52L, 37L, 38L, 40L, 45L, 45L), Location = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L), .Label = c("ID", 
"IS", "OD", "OS"), class = "factor"), b = c(0.052, 0.05, 0.039, 
0.043, 0.036, 0.033, 0.055, 0.051, 0.048, 0.046, 0.041, 0.04, 
0.05, 0.05, 0.051, 0.049, 0.056, 0.052, 0.047, 0.045, 0.047, 
0.045, 0.045, 0.045, 0.039, 0.038, 0.046, 0.049, 0.046, 0.044, 
0.041)), .Names = c("Site", "Depth", "PLD", "Location", "b"), class = "data.frame", row.names = c(NA, 
-31L))

剧情如下-

ANCOVA 图：

我用来创建它的代码在这里-

ggplot(PLD.df, aes(x=PLD, y=b, colour=Location)) + 
  geom_point(aes(shape=Location),size=3) + 
  scale_shape(solid=FALSE) + 
  scale_colour_manual(values=cb_palette) + 
  geom_smooth(aes(linetype=Location),method=lm, se=FALSE, fullrange=F) + 
  theme(panel.border=element_rect(colour="black", fill=NA,size=3),
        panel.background=element_rect(fill=FALSE),
        panel.grid.major=element_blank(),
        panel.grid.minor=element_blank()) + 
  theme(legend.position="NONE")

最简单的方法是一起删除所有线条，然后使用 predictvals() 函数重新绘制所需的线条吗？我只想显示 "Inshore" 和 "Offreef" 位置的回归线，同时保留所有 4 个站点的颜色。

注意：这是我的第一个问题，如果我的问题格式不正确或者我没有包含所有必要的信息，我们深表歉意。谢谢！

Answer 1

如果我没听错，你只需要在 ggplot(aes(..)) 调用中指定 x 和 y，然后在 geom_smooth 中根据站点（而不是位置？）分组.这将为您提供站点内的预测：

cb_palette <- c("#999999", "#E69F00", "#56B4E9", "#009E73", 
               "#F0E442", "#0072B2", "#D55E00", "#CC79A7")

ggplot(PLD.df, aes(x=PLD, y=b)) + 
  geom_point(aes(shape=Location,colour=Location),size=3) + 
  scale_shape(solid=FALSE) + 
  scale_colour_manual(values=cb_palette) + 
  geom_smooth(aes(linetype=Site),
              method=lm, se=FALSE, fullrange=F,col="gray") + 
  theme(panel.border=element_rect(colour="black", fill=NA,size=3),
        panel.background=element_rect(fill=FALSE),
        panel.grid.major=element_blank(),
        panel.grid.minor=element_blank()) + 
  theme(legend.position="NONE")

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