scatMat: Visualize your data with a scatterplot matrix
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities

Description Usage Arguments Value Examples

This is a function to help quickly visualize the relationships among your data. Like the other pre-themed plotting functions in this package, this utilizes a minimalist Tufte inspired aesthetic. When smooth is true it also automatically detects factor variables or variables with less than 4 unique values to avoid trying to fit a smooth line to nominal data, which is typically ugly at best and uninformative at worst.

scatMat(
  x,
  smooth = F,
  digits = 2,
  method = "spearman",
  pch = 19,
  lm = FALSE,
  cor = TRUE,
  jitter = FALSE,
  amount = 2,
  hist.col = "#217fffA6",
  points.col = "#55ccd58A",
  smooth.col = "#664389BF",
  breaks = "FD",
  cex.cor = 1,
  cex.num = 1.5,
  smoother = F,
  font = "serif",
  ...
)

`x`	The data frame
`smooth`	Should the smoother line be enabled? Defaults to FALSE.
`digits`	Number of significant digits. defaults to 2.
`method`	method used for correlations; one of "pearson", "spearman" (the default), or "kendall"
`pch`	The symbol used for plotting
`lm`	TRUE or FALSE (Defaults to FALSE)
`cor`	TRUE or FALSE (Defaults to TRUE)
`jitter`	TRUE or FALSE (Defaults to FALSE)
`amount`	Amount of jittering
`hist.col`	The histogram color. Defaults to "#217fffA6".
`points.col`	The color of the data points. Defaults to "#55ccd58A".
`smooth.col`	The color of the smooth line. Defaults to "#664389BF".
`breaks`	Breaks in histogram. Defaults to "FD" method.
`cex.cor`	Size of points
`cex.num`	The size of the numbers in the upper right triangle of the scatterplot. Defaults to 1.5
`smoother`	If TRUE, then smooth.scatter the data points – slow but helps with overplotting with lots of subjects
`font`	font for the axis labels. Defaults to "serif"
`...`	other arguments