pairs_plus: Create matrix of scatterplots displaying pairwise correlation...
In adamdsmith/nrsmisc: Miscellaneous functions for work

pairs on steroids. Intended for use as one component of exploratory data analysis

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pairs_plus(x, cor_method = c("spearman", "pearson", "kendall"),
  scale = TRUE, pch = 20, jitter = FALSE, factor = 2,
  smooth_span = 2/3)

`x`	matrix or data.frame with columns (variables) for which to generate a matrix of scatterplots (like `pairs`) but with additional density and correlation data to assist data exploration. NOTE that logical, character, and factor columns are converted to integers, which may or may not be useful.
`cor_method`	character scalar indicating which correlation coefficient to compute. See `cor`. One of "spearman" (defaul), "pearson", or "kendall".
`scale`	logicial (default = TRUE); scale text indicating correlation coefficient with absolute magnitude of correlation?
`pch`	An integer specifying a symbol or a single character to be used when plotting points. See `points` for possible values and their interpretation.
`jitter`	logical (default = FALSE); should values have a small amount of noise added to aid differentiation? If TRUE, control jitter amount with `factor` argument. See `jitter`
`factor`	numeric to change amount of jitter. See details of `jitter` for explanation.
`smooth_span`	smoother span; the proportion of points in the plot which influence the smoothness of the fitted LOWESS line. Restricted to (0, 1) here. Default is 2/3.

## Not run: 
a <- sort(runif(100))
df <- data.frame(super = a,
                 cali = a + rnorm(100, 0, 0.5),
                 fragi = rev(a) + rnorm(100, 0, 1),
                 listic = (a + rnorm(100, 0, 0.25)) ^ 2,
                 expi = rep(LETTERS[1:4], each = 25),
                 ali = a - rnorm(100, 0, 1.5),
                 docious = a + rnorm(100, 0, 2))
pairs_plus(df)
pairs_plus(df, scale = FALSE)
pairs_plus(df, smooth_span = 1/4)
pairs_plus(df, cor_method = "pearson")

## End(Not run)