# scatterPlot

##### Easy ggplot2 scatter plots

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

scatter plots.

- Keywords
- hplot

##### Usage

```
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",
...)
```

##### Arguments

- 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.

- …
And additional arguments are passed to

`geom_point`

or`geom_jitter`

(if`jitter`

is set to 'jitter').

##### Details

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.

##### Value

A `ggplot`

plot is returned.

##### See Also

##### Examples

```
# 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);
# }
```

*Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)*