scatter_hist: plot quantitative x quantitative data as scatter plot with...
In lukereding/redingPlot: Collection of plotting functions

Description Usage Arguments Value Examples

scatter plot with nice defaults. automatically tests for a linear association between your two variables, draws regression lines, prints stats to the plot,plots marginal histograms, etc.

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scatter_hist(x, y, xlab = "", ylab = "", title = "", line = T,
  stats = TRUE, color = "black", line_col = "red",
  confidenceInterval = T, plottingCharacter = 16, rug = F, ...)

`x`	vector of data for the x axis
`y`	vector of data for the y axis
`xlab`	x label
`ylab`	y label
`title`	main title
`line`	logical. draw regression line? defaults to T
`stats`	logical. compute sample size, p-value for regression slope, and r squared value and print to the corner of the graph? defaults to TRUE
`color`	color of data points. defaults to "black"
`line_col`	color of regression line. defaults to "red"
`confidenceInterval`	logical. plot confidence bands about the slope?
`plottingCharacter`	type of plotting character. defaults to 16, i.e., solid point
`rug`	logical. plot a rug plot along the x and y axes? defaults to FALSE
`...`	other arguments to par()

None

1 2	scatter(rnorm(50,50,10),rnorm(50,30,3)) scatter(trees [,1],trees [,2],xlab="tree girth (in.)",ylab="tree height (ft.)",title="scatter_hist() example")