balanceplot: Create a plot of the balance on variables across different...
In RItools: Randomization Inference Tools

balanceplot

R Documentation

Create a plot of the balance on variables across different stratifications.

Description

This plotting function summarizes variable by stratification matrices. For each variable (a row in the x argument), the values are under each stratification (the columns of x) plotted on the same line.

Usage

balanceplot(
  x,
  ordered = FALSE,
  segments = TRUE,
  colors = "black",
  shapes = c(15, 16, 17, 18, 0, 1, 10, 12, 13, 14),
  segments.args = list(col = "grey"),
  points.args = list(cex = 1),
  xlab = "Balance",
  xrange = NULL,
  groups = NULL,
  tiptext = NULL,
  include.legend = TRUE,
  legend.title = NULL,
  plotfun = .balanceplot,
  ...
)

Arguments

`x`	A matrix of variables (rows) by strata (columns).
`ordered`	Should the variables be ordered from most to least imbalance on the first statistic?
`segments`	Should lines be drawn between points for each variable?
`colors`	Either a vector or a matrix of shape indicators suitable to use as a `col` argument to the `points` function. If the argument is a vector, the length should be the same as the number of columns in `x`. If the argument is a matrix, it should have the same dims as `x`.
`shapes`	Either a vector or a matrix of shape indicators suitable to use as a `pch` argument to the `points` function. If the argument is a vector, the length should be the same as the number of columns in `x`. If the argument is a matrix, it should have the same dims as `x`. <!– The suggested vector has been selected to work with RSVGTipsDevice tool tips.–>
`segments.args`	A list of arguments to pass to the `segments` function.
`points.args`	A list of arguments to pass to the `points` function.
`xlab`	The label of the x-axis of the plot.
`xrange`	The range of x-axis. By default, it is 1.25 times the range of `x`.
`groups`	A factor that indicates the group of each row in `x`. Groups are printed under a common header.
`tiptext`	ignored (legacy argument retained for internal reasons) <!– If you are using the `RSVGTipsDevice` library for rendering, you can include an array of the dimensions of x with another dimension of length 2. For example, if there are 4 observations and 2 strata, the array should be 4 by 2 by 2. The `tiptext[i, j, 1]` entry will be the first line of the tool tip for the data in `x[i, j]`. Likewise for the second row of the tool tip. –>
`include.legend`	Should a legend be included?
`legend.title`	An optional title to attach to the legend.
`plotfun`	Function to do the plotting; defaults to [RItools:::.balanceplot]
`...`	Additional arguments to pass to `plot.default`.

Details

It is conventional to standardize the differences to common scale (e.g. z-scores), but this is not required. When ordered is set to true, plotting will automatically order the data from largest imbalance to smallest based on the first column of x.

You can fine tune the colors and shapes with the like named arguments. Any other arguments to the points function can be passed in a list as points.args. Likewise, you can fine tune the segments between points with segments.args.

Value

Returns NULL, displays plot

Examples

set.seed(20121204)

# generate some balance data
nvars <- 10
varnames <- paste("V", letters[1:nvars])

balance_data <- matrix(c(rnorm(n = nvars, mean = 1, sd = 0.5), 
                         rnorm(n = nvars, mean = 0, sd = 0.5)),
                       ncol = 2)

colnames(balance_data) <- c("Before Adjustment", "After Matching")

rownames(balance_data) <- varnames

balanceplot(balance_data,
                      colors = c("red", "green"),
                      xlab = "Balance Before/After Matching")

# base R graphics are allowed

abline(v = colMeans(balance_data), lty = 3, col = "grey")

RItools documentation built on March 31, 2023, 7:17 p.m.