# plot.rdd_data: Plot rdd_data In rddtools: Toolbox for Regression Discontinuity Design ('RDD')

## Description

Binned plot of the forcing and outcome variable

## Usage

 ```1 2 3``` ```## S3 method for class 'rdd_data' plot(x, h, nbins = NULL, xlim = range(object\$x, na.rm = TRUE), cex = 0.7, nplot = 1, device = c("base", "ggplot"), ...) ```

## Arguments

 `x` Object of class rdd_data `h` The binwidth parameter (note this differs from the bandwidth parameter!) `nbins` Alternative to h, the total number of bins in the plot. `xlim` The range of the x data `cex` Size of the points, see `par` `nplot` Number of plot to draw `device` Type of device used. Currently not used. `...` Further arguments passed to the `plot` function.

## Details

Produces a simple binned plot averaging values within each interval. The length of the intervals is specified with the argument `h`, specifying the whole binwidth (contrary to the usual bandwidth argument, that gives half of the length of the kernel window. When no bandwidth is given, the bandwidth of Ruppert et al is used, see `rdd_bw_rsw`.

A plot

## Author(s)

Matthieu Stigler <[email protected]>

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```data(house) house_rdd <- rdd_data(y=house\$y, x=house\$x, cutpoint=0) plot(house_rdd) ## Specify manually the bandwidth: plot(house_rdd, h=0.2) ## Show three plots with different bandwidth: plot(house_rdd, h=c(0.2,0.3,0.4), nplot=3) ## Specify instead of the bandwidth, the final number of bins: plot(house_rdd, nbins=22) ## If the specified number of bins is odd, the larger number is given to side with largest range plot(house_rdd, nbins=21) ```

rddtools documentation built on May 30, 2017, 4:45 a.m.