[英]Heatmaps for a matrix with ones and zeros using R
使用ggplot的另一種方法
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)
本教程采用
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$row<-rownames(df)
data<-df%>%
tidyr::gather(row,value)%>%
setNames(c("name","variable","value"))
hchart(data, "heatmap", hcaes(x = variable, y = name, value = value)) %>%
hc_colorAxis(stops = color_stops(2, c("red","green")))
更新:您可以將hc_size(height = 800)
添加為height = 800或進行類似的操作
x<-50
hg<-length(unique(data$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)
數據集中的每一行使圖表增大50點。 您可以在x
更改
該答案使用了plotly
,因此將其添加為另一個答案。 使用與以下相同的數據。
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")
就獲取輸出而言,這比ggplot2簡單得多。
希望這可以幫助!
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