Скачать или смотреть Heatmap in R (3 Examples) | Base R, ggplot2 & plotly Package | How to Create Heatmaps

How to draw a heatmap in the R programming language. More details: https://statisticsglobe.com/heatmap-in-r
R code of this video:

##### Example data
set.seed(123) # Set seed for reproducibility
data ＜- matrix(rnorm(100, 0, 10), nrow = 10, ncol = 10) # Create example data
colnames(data) ＜- paste0("col", 1:10) # Column names
rownames(data) ＜- paste0("row", 1:10) # Row names

##### Example 1
heatmap(data) # Apply heatmap function

##### Example 2
heatmap(data, Rowv = NA, Colv = NA) # Remove dendogram

##### Example 3
my_colors ＜- colorRampPalette(c("cyan", "deeppink3")) # Manual color range
heatmap(data, col = my_colors(100)) # Heatmap with manual colors

##### Example 4
install.packages("reshape") # Install reshape package
library("reshape") # Load reshape package

data_melt ＜- melt(data) # Reorder data

install.packages("ggplot2") # Install ggplot2 package
library("ggplot2") # Load ggplot2 package

ggp ＜- ggplot(data_melt, aes(X1, X2)) + # Create heatmap with ggplot2
geom_tile(aes(fill = value))
ggp # Print heatmap

##### Example 5
ggp + scale_fill_gradient(low = "green", high = "black") # Manual colors of heatmap

##### Example 6
install.packages("plotly") # Install plotly package
library("plotly") # Load plotly package

plot_ly(z = data, type = "heatmap") # Apply plot_ly function

##### Example 7
plot_ly(z = data, colorscale = "Greys", type = "heatmap") # Manual colors