This function is intended to provide a very easy interface to generating pretty (and pretty versatile) `ggplot`

scatter plots.

```
scatterPlot(x, y, pointsize = 3,
theme = theme_bw(),
regrLine = FALSE, regrCI = FALSE,
regrLineCol = "blue",
regrCIcol = regrLineCol,
regrCIalpha = 0.25,
width = 0, height = 0,
position = "identity",
xVarName = NULL,
yVarName = NULL,
...)
```

x

The variable to plot on the X axis.

y

The variable to plot on the Y axis.

pointsize

The size of the points in the scatterplot.

theme

The theme to use.

regrLine

Whether to show the regression line.

regrCI

Whether to display the confidence interval around the regression line.

regrLineCol

The color of the regression line.

regrCIcol

The color of the confidence interval around the regression line.

regrCIalpha

The alpha value (transparency) of the confidence interval around the regression line.

width

If `position`

is 'jitter', the points are 'jittered': some random noise is added to change their location slightly. In that case 'width' can be set to determine how much the location should be allowed to vary on the X axis.

height

If `position`

is 'jitter', the points are 'jittered': some random noise is added to change their location slightly. In that case 'height' can be set to determine how much the location should be allowed to vary on the Y axis.

position

Whether to 'jitter' the points (adding some random noise to change their location slightly, used to prevent overplotting). Set to 'jitter' to jitter the points.

xVarName, yVarName

Can be used to manually specify the names of the variables on the x and y axes.

…

And additional arguments are passed to `geom_point`

or `geom_jitter`

(if `jitter`

is set to 'jitter').

A `ggplot`

plot is returned.

Note that if `position`

is set to 'jitter', unless `width`

and/or `height`

is set to a non-zero value, there will still not be any jittering.

# NOT RUN { ### A simple scatter plot scatterPlot(mtcars$mpg, mtcars$hp); ### The same scatter plot, now with a regression line ### and its confidence interval added. scatterPlot(mtcars$mpg, mtcars$hp, regrLine=TRUE, regrCI=TRUE); # }