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Creates a heatmap of a symmetric matrix (e.g., correlation or covariance matrix).

Usage

plot_matrix(mat, order = FALSE, group.df = NULL, labels = TRUE)

Arguments

mat

A symmetric matrix.

order

When TRUE (default is FALSE), the function agnes of the R package `cluster` is used with default arguments to order the matrix based on a dendrogram.

group.df

An optional data frame with columns containing the variable names followed by the group numbers. When supplied, the heatmap is split into groups and then ordered (when order = TRUE).

labels

When TRUE (default), variable labels are displayed.

Value

A heatmap with x- and y-axes displaying the variable numbers, and colour gradient ranging from blue (low value) to red (high value).

Examples

# Display a random correlation matrix.

corA <- rand_cor_mat(
  n = 10,
  min.cor = -1,
  max.cor = 1
)

# Define groups.
group_df <- data.frame(variable = 1:10, group = c(1, 1, 1, 1, 2, 2, 2, 3, 3, 4))

plot_matrix(
  mat = corA,
  order = TRUE,
  group.df = group_df,
  labels = TRUE
)