This heatmap image was generated in Excel but as I\'m trying to learn R I would like to know how to make a heatmap like that with R.
You can use ?scale_fill_gradientn
gving you values:
library(scales)
heat.dat <- heat[0:10,0:10]
dat <- expand.grid(var1=1:10, var2=1:10)
dat$value <- melt(heat.dat)$value
ggplot(dat, aes(x=var1,y=var2))+
geom_tile(aes(fill = value),colour='white')+
scale_fill_gradientn(colours=c("red","white","green"),
values = rescale(c(min(dat$value), 1000, max(dat$value)))
Using Lattice:
with(dat,
levelplot(round(value,0)~y*x,
dat,
panel=function(...) {
arg <- list(...)
panel.levelplot(...)
panel.text(arg$x, arg$y,arg$z)},
scales = list(y = list(at=y,labels=y),
x = list(at=y,labels=y)),
col.regions = colorRampPalette(c("red", "white", "green"),interpolate ='spline'))
)
In addition to the answer and comments of / to agstudy
, you can also use pure ggplot syntax and map the labels within the aes() via label
:
heat=structure(c(1000, 1087.658, 1181.599, 1319.012, 0, 0, 0, 0, 261.824,0, 0, 1000, 1361.953, 1405.954, 0, 0, 0, 0, 0, 1121.21, 0, 0,1000, 187.5215, 909.1927, 0, 0, 0, 0, 0, 0, 0, 0, 1000, 817.5097,0, 0, 0, 0, 0, 57.0317, 935.5829, 0, 0, 1000, 887.7498, 0, 0,0, 0, 709.3896, 854.511, 1102.159, 093.8854, 0, 1000, 0, 0,0, 0, 843.7676, 889.5042, 1147.13, 1195.7298, 1101.2891, 015.9835,1000, 0, 0, 0, 932.2801, 1091.461, 984.1374, 1077.0797, 1064.6516,1062.1668, 911.0699, 1000, 0, 0, 0, 929.1611, 969.0718, 1119.464,1037.1623, 1105.2163, 1026.1989, 834.8725, 1000, 0, 1016.7203,0, 058.3456, 1159.5207, 990.3974, 983.2319, 951.3572, 927.6802,795.6285, 1000), Dim c(10L, 10L), .Dimnames = list(NULL, NULL))
heat_melted = reshape2::melt(heat[10:0,0:10])
ggplot(heat_melted, aes(Var2, Var1, label = round(value))) +
geom_tile(aes(fill = value), colour = "white") +
scale_fill_gradientn(colours=c("red", "white", "green"),
values=rescale(c(min(heat_melted$value), 1000, max(heat_melted$value))), guide="colorbar") +
geom_text()
plot