Spaces:
Sleeping
Sleeping
File size: 1,396 Bytes
d2d624a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
library(ggplot2)
library(reshape2)
library(dplyr)
library(extrafont)
loadfonts(device = "pdf") # Load fonts
correlation_matrix <- read.csv(file.choose(), row.names = 1)
correlation_matrix[abs(correlation_matrix) < 0.3] <- NA
correlation_matrix[lower.tri(correlation_matrix)] <- NA
diag(correlation_matrix) <- NA
melted_cor <- melt(as.matrix(correlation_matrix), na.rm = TRUE)
melted_cor$fill_value <- ifelse(is.na(melted_cor$value), NA, melted_cor$value)
ggplot(melted_cor, aes(x = Var1, y = Var2)) +
geom_tile(aes(fill = fill_value), color = "black") +
labs(x = NULL, y = NULL, fill = "Pearson's\nCorrelation") +
scale_fill_gradient2(mid = "#FBFEF9", low = "#0C6291", high = "#A63446",
limits = c(-1, 1), na.value = "lightgray") +
theme_classic() +
scale_x_discrete(expand = c(0, 0)) +
scale_y_discrete(expand = c(0, 0)) +
theme(text = element_text(family = "Arial"), # Use a common font
plot.title = element_text(size = 14, family = "Arial"), # Title font
axis.text.x = element_text(angle = 45, hjust = 1),
legend.position = "right", # Position of the legend
legend.title = element_text(size = 12), # Title size
legend.text = element_text(size = 10), # Text size
legend.key.size = unit(1.5, "cm"), # Size of the legend keys
legend.key.width = unit(1, "cm")) # Width of the legend keys
|