CorrelationMatrix: 'CorrelationMatrix'

In Displayr/flipStatistics: Computes standard statistics (e.g., mean, standard deviation.)

CorrelationMatrix

Description

Produces a correlation matrix from columns of data.

Usage

CorrelationMatrix(
  input.data,
  use.names = FALSE,
  ignore.columns = "",
  missing.data = "Use partial data",
  spearman = FALSE,
  filter = NULL,
  weights = NULL,
  show.cell.values = "Automatic",
  colors = NULL,
  colors.min.value = -1,
  colors.max.value = 1,
  row.labels = "Yes",
  column.labels = "Yes",
  input.type = NULL,
  categorical.as.binary = FALSE
)

Arguments

input.data	Either a data.frame, a list of data.frames and/or vectors, or a matrix.
use.names	Whether to use names in place of labels.
ignore.columns	A list of names of columns to ignore. When input.data is a matrix, rows are also ignored. Typically c("NET", "Total", "SUM").
missing.data	Treatment of missing data. Options are "Use partial data", "Error if missing data", or "Exclude cases with missing data".
spearman	Boolean whether to compute Spearman's correlation instead of Pearson's correlation.
filter	An optional logical vector specifying a subset of values to be used.
weights	An optional vector of sampling weights.
show.cell.values	Either "Yes", "No" or "Automatic". "Automatic" displays values if there are <= 10 rows in the matrix.
colors	A vector of colors used to create the colorbar. If not specified it will default to RdBu from colorbrewer.
colors.min.value	Lower bound of the colorbar
colors.max.value	Upper bound of the colorbar
row.labels	Either "Yes" or "No" indicating whether row labels should be displayed.
column.labels	Either "Yes" or "No" indicating whether row labels should be displayed.
input.type	Deprecated. Now automatically deduced from input.data.
categorical.as.binary	Whether to convert factors to dummy binary variables, or else their levels are converted to integers.

Displayr/flipStatistics documentation built on April 12, 2024, 4:15 a.m.