Скачать с ютуб Heatmap in R (3 Examples) | Base R, ggplot2 & plotly Package | How to Create Heatmaps в хорошем качестве

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