用R求1和0矩阵的热图

只是使用ggplot的另一种方法

library(ggplot2)
library(reshape2)
library(plyr)
library(scales)

df <- structure(list(people = structure(c(2L, 1L), .Label = c("Dwayne", "LeBron"), class = "factor"),
                 G = c(1L, 0L),
                 MIN = c(1L, 0L),
                 PTS = c(0L, 1L),
                 FGM = c(0L,0L),
                 FGA = c(0L,0L),
                 FGP = c(1L,1L)),
            .Names = c("people", "G", "MIN", "PTS", "FGM", "FGA", "FGP"),
            class = "data.frame",
            row.names = c(NA, -2L))


df.m <- melt(df)
df1.m <- ddply(df.m, .(variable), transform, rescale = value)
p <- ggplot(df1.m, aes(variable, people)) +
geom_tile(aes(fill = rescale), colour = "black")
p + scale_fill_gradient(low = "green", high = "red")
show(p)

采用自本 tutorial

具有 highcharter:

library(highcharter)
library(tidyr)
library(dplyr)
df<-data.frame(row=c("Dwayne","James"),G=c(1,0),MIN=c(1,0),PTS=c(0,1),FGM=c(0,0),FGA=c(0,0),FGP=c(1,1))
rownames(df)<-c("Dwayne","James")
df$row<-rownames(df)
data<-df%>%
     tidyr::gather(row,value)%>%
     setNames(c("name","variable","value"))


hchart(data, "heatmap", hcaes(x = variable, y = name, value = value)) %>% 
  hc_colorAxis(stops = color_stops(2, c("red","green")))

更新: 您可以添加 hc_size(height = 800) 高度=800或类似的

  x<-50
  hg<-length(unique(data$name))*x+100

  hchart(data, "heatmap", hcaes(x = variable, y = name, value = value)) %>% 
    hc_colorAxis(stops = color_stops(2, c("red","green")))%>% 
    hc_size(height = hg)

数据集中的每一行都会使图表变大50个点。您可以在中更改它 x

此答案使用 plotly 因此,将其添加为另一个答案。使用与以下数据相同的数据。

library(plotly)
df1 <- as.matrix(df)
p <- plot_ly(x = colnames(df), y = df[,1], z = as.matrix(df[-1]), colors = colorRamp(c("green", "red")), type = "heatmap")

在获取输出方面,这比ggplot2简单得多。

希望这有帮助!