% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/corrplot.mixed.R
\name{corrplot.mixed}
\alias{corrplot.mixed}
\title{Using mixed methods to visualize a correlation matrix.}
\usage{
corrplot.mixed(corr, lower = "number", upper = "circle", tl.pos = c("d",
  "lt", "n"), diag = c("n", "l", "u"), bg = "white", addgrid.col = "grey",
  lower.col = NULL, upper.col = NULL, plotCI = c("n", "square", "circle",
  "rect"), mar = c(0, 0, 0, 0), ...)
}
\arguments{
\item{corr}{Matrix, the correlation matrix to visualize.}

\item{lower}{Character, the visualization method for the lower triangular
correlation matrix.}

\item{upper}{Character, the visualization method for the upper triangular
correlation matrix.}

\item{tl.pos}{Character, \code{"lt"}, \code{"d"} or \code{"n"}, giving
position of text labels, \code{"lt"} means left and top,  \code{"d"} means
diagonal. If \code{"n"},  add no textlabel.}

\item{diag}{Character, for specifying the glyph on the principal diagonal. It
is one of \code{"n"} (default,  draw nothing), \code{"l"} (draw the glyphs
of lower triangular) or \code{"u"} (draw the glyphs of upper triangular).}

\item{bg}{The background color.}

\item{addgrid.col}{See the \code{addgrid.col} parameter in the function
\code{\link{corrplot}}}

\item{lower.col}{Passed as \code{col} parameter to the lower matrix.}

\item{upper.col}{Passed as \code{col} parameter to the upper matrix.}

\item{plotCI}{See the \code{plotCI} parameter in the function
\code{\link{corrplot}}}

\item{mar}{See \code{\link{par}}.}

\item{\dots}{Additional arguments for corrplot's wrappers}
}
\description{
Using mixed methods to visualize a correlation matrix.
}
\examples{
M <- cor(mtcars)
ord <- corrMatOrder(M, order = "AOE")
M2 <- M[ord,ord]


corrplot.mixed(M2)
corrplot.mixed(M2, lower = "ellipse", upper = "circle")
corrplot.mixed(M2, lower = "square", upper = "circle")
corrplot.mixed(M2, lower = "shade", upper = "circle")
corrplot.mixed(M2, tl.pos = "lt")
corrplot.mixed(M2, tl.pos = "lt", diag = "u")
corrplot.mixed(M2, tl.pos = "lt", diag = "l")
corrplot.mixed(M2, tl.pos = "n")
}
\author{
Taiyun Wei
}
