循环热图，看起来像甜甜圈(Circular Heatmap that looks like a do

我试图创建GGPLOT2圆形热图，所以我可以使用标签的数量较多一圈一圈的周长。我想有它看起来更像是一个甜甜圈在中间的空洞，但同时不损失任何行（他们将需要压缩）。

代码我有什么如下。

library(reshape)
library(ggplot2)

nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv")

nba$Name <- with(nba, reorder(Name, PTS))
nba.m <- melt(nba)
nba.m <- ddply(nba.m, .(variable), transform, value = scale(value))


p = ggplot(nba.m, aes(Name,variable)) + geom_tile(aes(fill = value), colour = "white") +           scale_fill_gradient(low = "white", high = "steelblue") 
p<-p+opts(
panel.background=theme_blank(),
axis.title.x=theme_blank(),
axis.title.y=theme_blank(),
panel.grid.major=theme_blank(),
panel.grid.minor=theme_blank(),  
axis.text.x=theme_blank(),
axis.ticks=theme_blank()
)


p = p + coord_polar() 
plot(p)

Answer 1:

这里是通过以下步骤完成的溶液（1）转化因子为数字并添加偏移量，（2）手动指定的y限制和（3）手动设置y轴断裂和标签：

library(reshape)
library(ggplot2)
# Using ggplot2 0.9.2.1

nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv")
nba$Name <- with(nba, reorder(Name, PTS))
nba.m <- melt(nba)
nba.m <- ddply(nba.m, .(variable), transform, value = scale(value))

# Convert the factor levels to numeric + quanity to determine size of hole.
nba.m$var2 = as.numeric(nba.m$variable) + 15

# Labels and breaks need to be added with scale_y_discrete.
y_labels = levels(nba.m$variable)
y_breaks = seq_along(y_labels) + 15

p2 = ggplot(nba.m, aes(x=Name, y=var2, fill=value)) +
     geom_tile(colour="white") +
     scale_fill_gradient(low = "white", high = "steelblue") +
     ylim(c(0, max(nba.m$var2) + 0.5)) +
     scale_y_discrete(breaks=y_breaks, labels=y_labels) +
     coord_polar(theta="x") +
     theme(panel.background=element_blank(),
           axis.title=element_blank(),
           panel.grid=element_blank(),
           axis.text.x=element_blank(),
           axis.ticks=element_blank(),
           axis.text.y=element_text(size=5))


ggsave(filename="plot_2.png", plot=p2, height=7, width=7)

Answer 2:

解决@ FedericoGiorgi的评论，而不是原来的问题。感谢您的@bdemarest解决方案是非常有用的！

劈一起的数据帧，以显示标签，很好地排列它们：

nba.labs <- subset(nba.m, variable==levels(nba.m$variable)[nlevels(nba.m$variable)])
nba.labs <- nba.labs[order(nba.labs$Name),]
nba.labs$ang <- seq(from=(360/nrow(nba.labs))/1.5, to=(1.5*(360/nrow(nba.labs)))-360, length.out=nrow(nba.labs))+80
nba.labs$hjust <- 0
nba.labs$hjust[which(nba.labs$ang < -90)] <- 1
nba.labs$ang[which(nba.labs$ang < -90)] <- (180+nba.labs$ang)[which(nba.labs$ang < -90)]

添加geom_text的标签：

p2 = ggplot(nba.m, aes(x=Name, y=var2, fill=value)) +
     geom_tile(colour="white") +
     geom_text(data=nba.labs, aes(x=Name, y=var2+1.5,
        label=Name, angle=ang, hjust=hjust), size=3) +
     scale_fill_gradient(low = "white", high = "steelblue") +
     ylim(c(0, max(nba.m$var2) + 1.5)) +
     scale_y_discrete(breaks=y_breaks, labels=y_labels) +
     coord_polar(theta="x") +
     theme(panel.background=element_blank(),
           axis.title=element_blank(),
           panel.grid=element_blank(),
           axis.text.x=element_blank(),
           axis.ticks=element_blank(),
           axis.text.y=element_text(size=5))
print(p2)