如何在 ggplot2 中使用 geom_text 对齐不同长度的标签?
How to align labels with different length using geom_text in ggplot2?
我已经使用 geom_text
为我的绘图添加了标题,我想分别向左和向右对齐标签(因为我使用 facet_grid
并且我有两个不同的组)。
这是我的例子:
library(ggplot2)
library(dplyr)
# DATA
val1 <- c(2.1490626,2.2035281,1.5927854,3.1399245,2.3967338,3.7915825,4.6691277,3.0727319,2.9230937,2.6239759,3.7664386,4.0160378,1.2500835,4.7648343,0.0000000,5.6740227,2.7510256,3.0709322,2.7998003,4.0809085,2.5178086,5.9713330,2.7779843,3.6724801,4.2648527,3.6841084,2.5597235,3.8477471,2.6587736,2.2742209,4.5862788,6.1989269,4.1167091,3.1769325,4.2404515,5.3627032,4.1576810,4.3387921,1.4024381,0.0000000,4.3999099,3.4381837,4.8269218,2.6308474,5.3481382,4.9549753,4.5389650,1.3002293,2.8648220,2.4015338,2.0962332,2.6774765,3.0581759,2.5786137,5.0539080,3.8545796,4.3429043,4.2233248,2.0434363,4.5980727)
val2 <- c(3.7691229,3.6478055,0.5435826,1.9665861,3.0802654,1.2248374,1.7311236,2.2492826,2.2365337,1.5726119,2.0147144,2.3550348,1.9527204,3.3689502,1.7847986,3.5901329,1.6833872,3.4240479,1.8372175,0.0000000,2.5701453,3.6551315,4.0327091,3.8781182)
val3 <- c(2.1490626,2.2035281,1.5927854,3.1399245,2.3967338,3.7915825,4.6691277,3.0727319,2.9230937,2.6239759,3.7664386,4.0160378,1.2500835,4.7648343,0.0000000,5.6740227,2.7510256,3.0709322,2.7998003,4.0809085,2.5178086,5.9713330,2.7779843,3.6724801,4.2648527,3.6841084,2.5597235,3.8477471,2.6587736,2.2742209,4.5862788,6.1989269,4.1167091,3.1769325,4.2404515,5.3627032,4.1576810,4.3387921,1.4024381,0.0000000,4.3999099,3.4381837,4.8269218,2.6308474,5.3481382,4.9549753,4.5389650,1.3002293,2.8648220,2.4015338,2.0962332,2.6774765,3.0581759,2.5786137,5.0539080,3.8545796,4.3429043,4.2233248,2.0434363,4.5980727)
df1 <- data.frame(value = val1)
df2 <- data.frame(value = val2)
df3 <- data.frame(value = val3)
data <- bind_rows(lst(df1, df2, df3), .id = 'id')
data$Sex <- rep(c("Male", "Female"), times=72)
data$d <- "ff"
data <- as.data.frame(unclass(data), stringsAsFactors = TRUE)
# PLOT
p <- data %>%
ggplot(aes(value)) +
geom_density(lwd = 1.2, colour="red", show.legend = FALSE) +
geom_histogram(aes(y=..density.., fill = id), bins=10, col="black", alpha=0.2) +
facet_grid(id ~ Sex ) +
xlab("type_data") +
ylab("Density") +
ggtitle("title") +
guides(fill=guide_legend(title="legend_title")) +
theme(strip.text.y = element_blank())
p
# ADD CAPTION
caption_df = data.frame(value = c(min(data$value), max(data$value)), id = c(rep(tail(levels(data$id), n=1), times=length(levels(data$Sex)))),
Sex = c(levels(data$Sex)))
caption_df$txt = c("This is the first caption \nThis is the second caption", "This is the first caption \nThis is the second caption")
yrange <- layer_scales(p)$y$range$range
ypos <- min(yrange) - 0.4 * diff(yrange)
p + coord_cartesian(clip = "off",
ylim = layer_scales(p)$y$range$range,
xlim = layer_scales(p)$x$range$range) +
geom_text(data = caption_df,
aes(y = ypos, label = txt)) +
theme(plot.margin = unit(c(1,1,2,1), "cm"))
这是它的样子:
这就是我想要的:
我试过使用 hjust=0
但它看起来不太好(它们都被置换了)
我试过 hjust=1
但我有同样的问题(移位):
vjust
也没有给我我需要的东西。
有人知道如何解决吗?
提前致谢
您可以在 geom_text
中同时使用 hjust
和 nudge_x
。
hjust = 0
将 left-align 文字,而且还会移动文字的位置。 nudge_x
通过在文本周围添加一些“填充”来帮助抵消 hjust
的影响。
尝试 nudge_x
的不同值,看看哪一个最符合您的目标。
library(ggplot2)
data %>%
ggplot(aes(value)) +
geom_density(lwd = 1.2, colour="red", show.legend = FALSE) +
geom_histogram(aes(y=..density.., fill = id), bins=10, col="black", alpha=0.2) +
facet_grid(id ~ Sex ) +
xlab("type_data") +
ylab("Density") +
ggtitle("title") +
guides(fill=guide_legend(title="legend_title")) +
theme(strip.text.y = element_blank()) +
coord_cartesian(clip = "off",
ylim = layer_scales(p)$y$range$range,
xlim = layer_scales(p)$x$range$range) +
geom_text(data = caption_df,
aes(y = ypos, label = txt), hjust = 0, nudge_x = -1) +
theme(plot.margin = unit(c(1,1,2,1), "cm"))
我已经使用 geom_text
为我的绘图添加了标题,我想分别向左和向右对齐标签(因为我使用 facet_grid
并且我有两个不同的组)。
这是我的例子:
library(ggplot2)
library(dplyr)
# DATA
val1 <- c(2.1490626,2.2035281,1.5927854,3.1399245,2.3967338,3.7915825,4.6691277,3.0727319,2.9230937,2.6239759,3.7664386,4.0160378,1.2500835,4.7648343,0.0000000,5.6740227,2.7510256,3.0709322,2.7998003,4.0809085,2.5178086,5.9713330,2.7779843,3.6724801,4.2648527,3.6841084,2.5597235,3.8477471,2.6587736,2.2742209,4.5862788,6.1989269,4.1167091,3.1769325,4.2404515,5.3627032,4.1576810,4.3387921,1.4024381,0.0000000,4.3999099,3.4381837,4.8269218,2.6308474,5.3481382,4.9549753,4.5389650,1.3002293,2.8648220,2.4015338,2.0962332,2.6774765,3.0581759,2.5786137,5.0539080,3.8545796,4.3429043,4.2233248,2.0434363,4.5980727)
val2 <- c(3.7691229,3.6478055,0.5435826,1.9665861,3.0802654,1.2248374,1.7311236,2.2492826,2.2365337,1.5726119,2.0147144,2.3550348,1.9527204,3.3689502,1.7847986,3.5901329,1.6833872,3.4240479,1.8372175,0.0000000,2.5701453,3.6551315,4.0327091,3.8781182)
val3 <- c(2.1490626,2.2035281,1.5927854,3.1399245,2.3967338,3.7915825,4.6691277,3.0727319,2.9230937,2.6239759,3.7664386,4.0160378,1.2500835,4.7648343,0.0000000,5.6740227,2.7510256,3.0709322,2.7998003,4.0809085,2.5178086,5.9713330,2.7779843,3.6724801,4.2648527,3.6841084,2.5597235,3.8477471,2.6587736,2.2742209,4.5862788,6.1989269,4.1167091,3.1769325,4.2404515,5.3627032,4.1576810,4.3387921,1.4024381,0.0000000,4.3999099,3.4381837,4.8269218,2.6308474,5.3481382,4.9549753,4.5389650,1.3002293,2.8648220,2.4015338,2.0962332,2.6774765,3.0581759,2.5786137,5.0539080,3.8545796,4.3429043,4.2233248,2.0434363,4.5980727)
df1 <- data.frame(value = val1)
df2 <- data.frame(value = val2)
df3 <- data.frame(value = val3)
data <- bind_rows(lst(df1, df2, df3), .id = 'id')
data$Sex <- rep(c("Male", "Female"), times=72)
data$d <- "ff"
data <- as.data.frame(unclass(data), stringsAsFactors = TRUE)
# PLOT
p <- data %>%
ggplot(aes(value)) +
geom_density(lwd = 1.2, colour="red", show.legend = FALSE) +
geom_histogram(aes(y=..density.., fill = id), bins=10, col="black", alpha=0.2) +
facet_grid(id ~ Sex ) +
xlab("type_data") +
ylab("Density") +
ggtitle("title") +
guides(fill=guide_legend(title="legend_title")) +
theme(strip.text.y = element_blank())
p
# ADD CAPTION
caption_df = data.frame(value = c(min(data$value), max(data$value)), id = c(rep(tail(levels(data$id), n=1), times=length(levels(data$Sex)))),
Sex = c(levels(data$Sex)))
caption_df$txt = c("This is the first caption \nThis is the second caption", "This is the first caption \nThis is the second caption")
yrange <- layer_scales(p)$y$range$range
ypos <- min(yrange) - 0.4 * diff(yrange)
p + coord_cartesian(clip = "off",
ylim = layer_scales(p)$y$range$range,
xlim = layer_scales(p)$x$range$range) +
geom_text(data = caption_df,
aes(y = ypos, label = txt)) +
theme(plot.margin = unit(c(1,1,2,1), "cm"))
这是它的样子:
这就是我想要的:
我试过使用 hjust=0
但它看起来不太好(它们都被置换了)
我试过 hjust=1
但我有同样的问题(移位):
vjust
也没有给我我需要的东西。
有人知道如何解决吗?
提前致谢
您可以在 geom_text
中同时使用 hjust
和 nudge_x
。
hjust = 0
将 left-align 文字,而且还会移动文字的位置。 nudge_x
通过在文本周围添加一些“填充”来帮助抵消 hjust
的影响。
尝试 nudge_x
的不同值,看看哪一个最符合您的目标。
library(ggplot2)
data %>%
ggplot(aes(value)) +
geom_density(lwd = 1.2, colour="red", show.legend = FALSE) +
geom_histogram(aes(y=..density.., fill = id), bins=10, col="black", alpha=0.2) +
facet_grid(id ~ Sex ) +
xlab("type_data") +
ylab("Density") +
ggtitle("title") +
guides(fill=guide_legend(title="legend_title")) +
theme(strip.text.y = element_blank()) +
coord_cartesian(clip = "off",
ylim = layer_scales(p)$y$range$range,
xlim = layer_scales(p)$x$range$range) +
geom_text(data = caption_df,
aes(y = ypos, label = txt), hjust = 0, nudge_x = -1) +
theme(plot.margin = unit(c(1,1,2,1), "cm"))