在ggplot2饼图中移动标签
Move labels in ggplot2 pie graph
我从 How to avoid label overlap in pie chart 得知我可以使用 ggrepel
让标签在饼图中不重叠。我希望有不到 7% 的百分比移到外面,并且有 7% 或更多的百分比移到他们的馅饼上。有什么想法吗?
library( ggrepel )
library( ggplot2)
library( dplyr)
library( scales )
library( reshape )
y <- data.frame(
state = c( "AR" ) ,
ac = c( 0.43 ) ,
man = c( 0.26 ) ,
ltc = c( 0.25 ) ,
care = c( 0.05 ) ,
dsh = c( 0.01 )
)
y2 <- melt( y , id.var="state" )
test <- ggplot( y2 , aes( x=1 , y=value , fill=variable )) +
geom_bar( width = 1 , stat = "identity" ) +
geom_text_repel( aes( label = paste( y2$variable , percent( value )) ) , position = position_fill( vjust = 0.5 ) , color="white" , size=5 ) +
coord_polar( "y" , start = 0 ) +
scale_fill_manual( values=c( "#003C64" , "#0077C8" , "#7FBBE3" , "#BFDDF1" , "#00BC87" ) )
test
所以在这个例子中,1% 和 5% 会在灰色区域。
这绝不是优雅的,但它可能提供您正在寻找的东西。这种方法涉及计算标签的位置(y
的 value
中的中点),并使用不同的 x
位置和 nudge_x
用于带有段的外部标签。也许这会给你一些工作的想法?
library( ggrepel )
library( ggplot2)
library( dplyr)
library( scales )
library( reshape )
y <- data.frame(
state = c( "AR" ) ,
ac = c( 0.43 ) ,
man = c( 0.26 ) ,
ltc = c( 0.25 ) ,
care = c( 0.05 ) ,
dsh = c( 0.01 )
)
y2 <- melt( y , id.var="state" )
threshold <- .07
y2 <- y2 %>%
mutate(cs = rev(cumsum(rev(value))),
ypos = value/2 + lead(cs, 1),
ypos = ifelse(is.na(ypos), value/2, ypos),
xpos = ifelse(value > threshold, 1, 1.3),
xn = ifelse(value > threshold, 0, .5))
test <- ggplot( y2 , aes( x=1 , y=value , fill=variable )) +
geom_bar( width = 1 , stat = "identity" ) +
geom_text_repel( aes( label = paste( y2$variable , percent( value )), x = xpos, y = ypos ) ,
color="white" , size=5, nudge_x = y2$xn, segment.size = .5 ) +
coord_polar( "y" , start = 0 ) +
scale_fill_manual( values=c( "#003C64" , "#0077C8" , "#7FBBE3" , "#BFDDF1" , "#00BC87" ) ) +
theme(axis.text = element_blank(),
axis.ticks = element_blank(),
panel.grid = element_blank())
test
我从 How to avoid label overlap in pie chart 得知我可以使用 ggrepel
让标签在饼图中不重叠。我希望有不到 7% 的百分比移到外面,并且有 7% 或更多的百分比移到他们的馅饼上。有什么想法吗?
library( ggrepel )
library( ggplot2)
library( dplyr)
library( scales )
library( reshape )
y <- data.frame(
state = c( "AR" ) ,
ac = c( 0.43 ) ,
man = c( 0.26 ) ,
ltc = c( 0.25 ) ,
care = c( 0.05 ) ,
dsh = c( 0.01 )
)
y2 <- melt( y , id.var="state" )
test <- ggplot( y2 , aes( x=1 , y=value , fill=variable )) +
geom_bar( width = 1 , stat = "identity" ) +
geom_text_repel( aes( label = paste( y2$variable , percent( value )) ) , position = position_fill( vjust = 0.5 ) , color="white" , size=5 ) +
coord_polar( "y" , start = 0 ) +
scale_fill_manual( values=c( "#003C64" , "#0077C8" , "#7FBBE3" , "#BFDDF1" , "#00BC87" ) )
test
所以在这个例子中,1% 和 5% 会在灰色区域。
这绝不是优雅的,但它可能提供您正在寻找的东西。这种方法涉及计算标签的位置(y
的 value
中的中点),并使用不同的 x
位置和 nudge_x
用于带有段的外部标签。也许这会给你一些工作的想法?
library( ggrepel )
library( ggplot2)
library( dplyr)
library( scales )
library( reshape )
y <- data.frame(
state = c( "AR" ) ,
ac = c( 0.43 ) ,
man = c( 0.26 ) ,
ltc = c( 0.25 ) ,
care = c( 0.05 ) ,
dsh = c( 0.01 )
)
y2 <- melt( y , id.var="state" )
threshold <- .07
y2 <- y2 %>%
mutate(cs = rev(cumsum(rev(value))),
ypos = value/2 + lead(cs, 1),
ypos = ifelse(is.na(ypos), value/2, ypos),
xpos = ifelse(value > threshold, 1, 1.3),
xn = ifelse(value > threshold, 0, .5))
test <- ggplot( y2 , aes( x=1 , y=value , fill=variable )) +
geom_bar( width = 1 , stat = "identity" ) +
geom_text_repel( aes( label = paste( y2$variable , percent( value )), x = xpos, y = ypos ) ,
color="white" , size=5, nudge_x = y2$xn, segment.size = .5 ) +
coord_polar( "y" , start = 0 ) +
scale_fill_manual( values=c( "#003C64" , "#0077C8" , "#7FBBE3" , "#BFDDF1" , "#00BC87" ) ) +
theme(axis.text = element_blank(),
axis.ticks = element_blank(),
panel.grid = element_blank())
test