GGPLOT 多面条形图:每个填充类别有多个 "dodged" 条形图?
GGPLOT faceted bar plot: multiple "dodged" bars per fill-category?
我正在绘制这个数据集 'ds'
ds <- structure(list(FN = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L), .Label = c("FN=1", "FN=2", "FN=3",
"FN=4"), class = "factor"), fraction = structure(c(1L, 1L, 1L,
1L, 1L, 1L, 1L, 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, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("serum",
"plasma"), class = "factor"), demographics = 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("not adjusted",
"adjusted"), class = "factor"), freq = c(132, 47, 14, 30, 29,
19, 25, 14, 9, 5, 4, 4, 24, 21, 15, 6, 6, 5, 4, 4, 2, 2, 2, 2,
35, 28, 25, 68, 24, 11, 33, 15, 10, 12, 11, 8, 24, 16, 15, 13,
10, 6, 7, 6, 5, 4, 3, 3)), .Names = c("FN", "fraction", "demographics",
"freq"), class = "data.frame", row.names = c(NA, -48L))
使用这个 ggplot 代码
ggplot(ds, aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) + coord_flip()
哪个returns这个结果
如您所见,每个 x 变量 'fraction'(serum/plasma)和填充类别 'demographics'(不是 adjusted/adjusted)堆叠了三个条。但是,我希望将每个填充类别人口统计数据的这三个条并排绘制。这可能吗?
非常感谢您的帮助!
添加单个分组变量
library("tidyverse")
ds %>% mutate(row = row_number()) %>%
ggplot(aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")), group = row)) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) +
coord_flip()
现在,列在 demographics
之间被闪避,但如果你再添加一个 aestetic(在 aes()
函数内)group=freq
ggplot 将分别闪避每个栏。因此,您的代码应为:
ggplot(ds, aes(x=fraction, y=freq, group=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) + coord_flip()
看起来像:
我正在绘制这个数据集 'ds'
ds <- structure(list(FN = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L), .Label = c("FN=1", "FN=2", "FN=3",
"FN=4"), class = "factor"), fraction = structure(c(1L, 1L, 1L,
1L, 1L, 1L, 1L, 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, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("serum",
"plasma"), class = "factor"), demographics = 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, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("not adjusted",
"adjusted"), class = "factor"), freq = c(132, 47, 14, 30, 29,
19, 25, 14, 9, 5, 4, 4, 24, 21, 15, 6, 6, 5, 4, 4, 2, 2, 2, 2,
35, 28, 25, 68, 24, 11, 33, 15, 10, 12, 11, 8, 24, 16, 15, 13,
10, 6, 7, 6, 5, 4, 3, 3)), .Names = c("FN", "fraction", "demographics",
"freq"), class = "data.frame", row.names = c(NA, -48L))
使用这个 ggplot 代码
ggplot(ds, aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) + coord_flip()
哪个returns这个结果
如您所见,每个 x 变量 'fraction'(serum/plasma)和填充类别 'demographics'(不是 adjusted/adjusted)堆叠了三个条。但是,我希望将每个填充类别人口统计数据的这三个条并排绘制。这可能吗?
非常感谢您的帮助!
添加单个分组变量
library("tidyverse")
ds %>% mutate(row = row_number()) %>%
ggplot(aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")), group = row)) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) +
coord_flip()
现在,列在 demographics
之间被闪避,但如果你再添加一个 aestetic(在 aes()
函数内)group=freq
ggplot 将分别闪避每个栏。因此,您的代码应为:
ggplot(ds, aes(x=fraction, y=freq, group=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) +
geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") +
facet_grid(FN~., switch="y") +
scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) +
theme_bw() +
theme(legend.title=element_blank(), legend.position="bottom") +
theme(axis.title.x=element_text(face="bold")) +
theme(axis.title.y=element_blank()) +
theme(axis.ticks=element_blank()) +
theme(panel.background=element_blank()) +
theme(panel.grid=element_blank()) +
theme(strip.text.y = element_text(angle=180)) + coord_flip()
看起来像: