matrixs_to_df: Tidy matrix to data frame

In houyunhuang/ggtriangle: Fast processing of matrix heatmap

Description

This function quickly converts a set of matrices into a data frame.

Usage

matrixs_to_df(x = list(), row.names = NULL, col.names = NULL,
  row.order = NULL, col.order = NULL, cluster.type = "none",
  cluster.method = NULL, tree.type = "none",
  row.tree.position = NULL, col.tree.position = NULL,
  row.tree.max.height = NULL, col.tree.max.height = NULL)

Arguments

x	a list of matrix-like object.
row.names	NULL (default) or a string vector for setting row names of matrix.
col.names	NULL (default) or a string vector for setting col names of matrix.
row.order	NULL (default), a numeric vector, "hclust" or "dendrogram" object for reordering the rows of matrix.
col.order	NULL (default), a numeric vector, "hclust" or "dendrogram" object for reordering the columns of matrix.
cluster.type	"none" (default), "all", "row" or "col" for reordering matrix.
cluster.method	a character string with the name of agglomeration method. Defaults to "complete" for numeric matrix, "osa" for ohter type matrix.
tree.type	"none" (default), "all", "row" or "col" for adding cluster tree.
row.tree.position	position of tree for rows, NULL (defualt), "right" or "left".
col.tree.position	NULL (defualt), "top" or "bottom", position of tree for columns.
row.tree.max.height	max height of tree for rows, NULL or postive value.
col.tree.max.height	max height of tree for columns, NULL or postive value.

Details

If there are more than one matrix, cluster only according to the first matrix.

Value

a data frame.

Examples

matrixs_to_df(x = mtcars)
m1 <- matrix(rnorm(100), nrow = 20)
m2 <- matrix(rnorm(100), nrow = 20)
matrixs_to_df(list(m1 = m1, m2 = m2))

houyunhuang/ggtriangle documentation built on May 11, 2020, 2:02 p.m.