plotCorrM: plotCorrM

In Hmisc: Harrell Miscellaneous

plotCorrM

Description

Plot Correlation Matrix and Correlation vs. Time Gap

Usage

plotCorrM(
  r,
  what = c("plots", "data"),
  type = c("rectangle", "circle"),
  xlab = "",
  ylab = "",
  maxsize = 12,
  xangle = 0
)

Arguments

r	correlation matrix
what	specifies whether to return plots or the data frame used in making the plots
type	specifies whether to use bottom-aligned rectangles (the default) or centered circles
xlab	x-axis label for correlation matrix
ylab	y-axis label for correlation matrix
maxsize	maximum circle size if type='circle'
xangle	angle for placing x-axis labels, defaulting to 0. Consider using xangle=45 when labels are long.

Details

Constructs two ggplot2 graphics. The first is a half matrix of rectangles where the height of the rectangle is proportional to the absolute value of the correlation coefficient, with positive and negative coefficients shown in different colors. The second graphic is a variogram-like graph of correlation coefficients on the y-axis and absolute time gap on the x-axis, with a loess smoother added. The times are obtained from the correlation matrix's row and column names if these are numeric. If any names are not numeric, the times are taken as the integers 1, 2, 3, ... The two graphics are ggplotly-ready if you use plotly::ggplotly(..., tooltip='label').

Value

a list containing two ggplot2 objects if what='plots', or a data frame if what='data'

Author(s)

Frank Harrell

Examples

set.seed(1)
r <- cor(matrix(rnorm(100), ncol=10))
g <- plotCorrM(r)
g[[1]]  # plot matrix
g[[2]]  # plot correlation vs gap time
# ggplotlyr(g[[2]])
# ggplotlyr uses ggplotly with tooltip='label' then removes
# txt: from hover text

Hmisc documentation built on June 22, 2024, 12:19 p.m.