R 具有连接点的散点图中数据点的条件格式
基于以下数据框和绘图,我想在R 具有连接点的散点图中数据点的条件格式,r,ggplot2,line,scatter-plot,conditional-formatting,R,Ggplot2,Line,Scatter Plot,Conditional Formatting,基于以下数据框和绘图,我想在执行时有条件地将数据点的颜色更改为黑色。它==“y”。但是,圆点的形状和线条的颜色应保持不变。我该怎么做 set.seed(4887) Strain <- rep(c(rep("A", times = 2), rep("B", times = 4)), times = 2) Sex_ID <- rep(c("M_1", "F_2", "M_3", "F_4", "M_5", "F_6"), times = 2) State <- rep(c("vir
执行时有条件地将数据点的颜色更改为黑色。它==“y”
。但是,圆点的形状和线条的颜色应保持不变。我该怎么做
set.seed(4887)
Strain <- rep(c(rep("A", times = 2), rep("B", times = 4)), times = 2)
Sex_ID <- rep(c("M_1", "F_2", "M_3", "F_4", "M_5", "F_6"), times = 2)
State <- rep(c("virgin", "mated", "expecting", "parent"), each = 6)
Huddling <- runif(8, 1.5, 3.8)
did.it<-rep(c("y","n","n"), times=8)
d <- data.frame(Strain, Sex_ID, State, Huddling, did.it)
library(tidyr)
d <- d %>%
separate(Sex_ID, c('Sex', 'ID'), sep = '_')
ggplot(d, aes(x = factor(State), y = Huddling, color = Sex, group = ID, shape = ID))+
facet_grid(Strain ~ ., scales = 'free_y') +
geom_point(size = 3, position = position_dodge(width=0.3), show.legend = F) +
geom_line(size = 0.7, position = position_dodge(width=0.3)) +
scale_color_manual(values = c('red4', 'midnightblue')) +
scale_fill_manual(values = "white") +
scale_x_discrete(limits = c("virgin", "mated", "expecting", "parent"),
labels = c("Virgin", "Mated", "Expecting", "Parent")) +
labs(y = "Time huddling (s)", x = "Reproductive stage") +
theme_classic() +
theme(axis.line.x = element_line(color = "black", size = 1),
axis.line.y = element_line(color = "black", size = 1),
axis.text = element_text(size = 17),
axis.title = element_text(size = 19,face = "bold"),
legend.title = element_text(size = 17),
legend.text = element_text(size = 15),
plot.title = element_text(lineheight = .8, face = "bold",size = 22))
set.seed(4887)
应变你只需做以下几件事就可以达到部分目的:
geom_point(size = 3, aes(color = did.it) ...) +
...
scale_color_manual(values = c('red4', 'midnightblue', 'orange', 'black')) ...
但这并不会使点的颜色在更改时保持不变。它是FALSE
。因此:
d$point_col <- ifelse(d$did.it=='y', 'y', d$Sex)
ggplot(d, aes(x = factor(State), y = Huddling, color = Sex, group = ID, shape = ID))+
facet_grid(Strain ~ ., scales = 'free_y') +
geom_point(size = 3, aes(color = point_col), position = position_dodge(width=0.3),
show.legend = F) +
geom_line(size = 0.7, position = position_dodge(width=0.3)) +
scale_color_manual(values = c('red4', 'midnightblue', 'black')) +
scale_fill_manual(values = "white") +
scale_x_discrete(limits = c("virgin", "mated", "expecting", "parent"),
labels = c("Virgin", "Mated", "Expecting", "Parent")) +
labs(y = "Time huddling (s)", x = "Reproductive stage")
d$point\u col