如何在R中更改和/或分离图例组件？

Question

如何在R中更改和/或分离图例组件？

5

我用R语言创建了下面的图来可视化我所运行模型的原始数据和预测结果。预测结果用线条表示，原始数据用圆点表示。2018年的数据用实心线条或空心圆圈表示，而2019年的数据则用虚线或实心圆圈表示。黑色表示海水鱼数据，灰色表示淡水鱼数据。目前，图例有点让人摸不着头脑。我希望做两件事情：

图例中关于方向的符号，我想用相应颜色的矩形代替。
我想将年份符号分开，格式如下：

实心线（空格）2018（空格）实心圆

虚线（空格）2019（空格）空心圆

这是我的数据：

structure(list(Year = structure(c(1L, 1L, 1L, 1L, 1L, 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, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 
2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L
), .Label = c("2018", "2019"), class = "factor"), Yday = c(176L, 
178L, 178L, 182L, 178L, 180L, 177L, 180L, 174L, 180L, 177L, 181L, 
175L, 178L, 177L, 177L, 178L, 178L, 192L, 204L, 166L, 168L, 168L, 
174L, 173L, 169L, 165L, 168L, 196L, 208L, 171L, 177L, 163L, 175L, 
168L, 177L, 230L, 177L, 174L, 166L, 179L, 169L, 177L, 167L, 167L, 
173L, 177L, 177L, 170L, 177L, 167L, 173L, 176L, 169L, 172L), 
    TL = c(63, 62.5, 63.5, 62, 62, 41, 58, 59, 74, 52.2, 45.7, 
    41, 59, 53.3, 56.5, 57, 42, 42.6, 76, 84, 73.8, 73.6, 73, 
    66, 69.4, 68, 68.6, 65.6, 80.8, 84.8, 68, 58, 58, 56, 56, 
    62.5, 62.5, 69, 64, 64, 67, 67, 64, 64, 60, 60, 64, 60, 65.8, 
    62, 62, 61, 55.2, 55.2, 67), Direction = structure(c(2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Marine", 
    "River"), class = "factor")), class = "data.frame", row.names = c(1L, 
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 
29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 
42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 
56L))

这里是当前的图表和第二个数据集：

Firsts.modelRand <- lmer(Yday~Year+Direction*TL + (1|Transmitter), data = firsts2WOFD,
                         REML = T, na.action = 'na.fail')
Firstdats <- expand.grid(TL = seq(min(firsts2WOFD$TL),max(firsts2WOFD$TL), by = 1),
                         Year = unique(firsts2WOFD$Year), Direction = unique(firsts2WOFD$Direction))

Firstdats$pred <- predict(Firsts.modelRand, Firstdats, re.form = ~0, type = 'response')



First.plot <- ggplot(data = firsts2WOFD, aes(x = TL, y = Yday, color = Direction, shape = Year, linetype = Year))+geom_point(size = 2.5) + theme_bw()+
  geom_line(data = subset(Firstdats, Year == 2018 & Direction == 'River' & TL < 75), aes(x = TL, y = pred), size = 1.5)+
  geom_line(data = subset(Firstdats, Year == 2019 & Direction == 'River' & TL < 75), aes(x = TL, y = pred), size = 1.5)+
  geom_line(data = subset(Firstdats, Year == 2019 & Direction == 'Marine' & TL > 62), aes(x = TL, y = pred), size = 1.5)
First.plot <- First.plot + scale_color_manual(values = c("black", 'grey50'), labels = c("Marine", 'Fresh'))+scale_linetype_manual(values = c(1,2))+
  scale_shape_manual(values = c(19,21))
First.plot <- First.plot+ theme(axis.title = element_text(size = 16), axis.text = element_text(size = 14),
                                legend.title = element_text(size = 16), legend.text = element_text(size = 14), legend.key.width = unit(1.7, 'cm'))
First.plot <- First.plot+ xlab("Total Length (cm)")+ ylab("Date of Entry")+scale_y_continuous(breaks = c(180,210,240), labels = c("Jun 29", 'Jul 29', 'Aug 28'))
First.plot

- ljh2001

1

你的ggplot代码中有两个数据集：firsts2WOFD和Firstdats。但是你在问题中只提供了一个数据集。 - Sathish

@Sathish 哎呀，你说得对。现在应该已经修复了。 - ljh2001

1个回答

网页内容由stack overflow 提供, 点击上面的

可以查看英文原文，
原文链接

- nniloc · Accepted Answer

您的lmer()调用中有一个名为Transmitter的东西，在您提供的数据中找不到。但由于问题只涉及绘图，我创建了一个新的简单线性模型lm1。这些线条没有放在正确的位置，但应该足够接近以传达绘图点。

回答您的问题：

请参见override.aes例如this answer
不确定是否可能，至少没有过度复杂的解决方案。我将形状更改为填充三角形，因此更容易区分向上和向下以及颜色。我还将线条稍微变细（size = 1），我认为这有助于传说的清晰度。

# Create dataframe from provided data
# firsts2WOFD <- data

lm1 <- lm(Yday ~ TL + Direction + Year, data = firsts2WOFD)

dat_plot <- firsts2WOFD %>%
  mutate(pred = predict(lm1, newdata = .))

ggplot(dat_plot) +
  theme_bw() +
  geom_point(aes(TL, Yday, shape = Direction, fill = Year, color = Year), size = 2.5) +
  geom_line(aes(TL, pred, linetype = Direction, color = Year), size = 1) +
  scale_fill_manual(values = c("black", 'grey50')) +
  scale_color_manual(values = c("black", 'grey50'),
                     guide = guide_legend(override.aes = list(linetype = rep(NA, 2),
                                                              shape = c( 15, 15)))) +
  scale_shape_manual(values = c(25, 24)) +
  scale_linetype_manual(values = c(1, 2)) +
  scale_y_continuous(breaks = c(180, 210, 240), 
                     labels = c("Jun 29", 'Jul 29', 'Aug 28')) +
  labs(x = 'Total Length (cm)', y = 'Date of Entry') +
  theme(axis.title = element_text(size = 16), 
        axis.text = element_text(size = 14),
        legend.title = element_text(size = 16), 
        legend.text = element_text(size = 14), 
        legend.key.width = unit(1.7, 'cm'))