plotPropensity: Propensity score plotting for Matched objects

In nullranges/nullranges: Generation of null ranges via bootstrapping or covariate matching

Propensity score plotting for Matched objects

Description

This function plots the distribution of propensity scores from each matched set of a Matched object.

Usage

plotPropensity(
  x,
  sets = c("focal", "matched", "pool", "unmatched"),
  type = NULL,
  log = NULL,
  ...
)

## S4 method for signature 
## 'Matched,
##   character_OR_missing,
##   character_OR_missing,
##   character_OR_missing'
plotPropensity(x, sets, type, log, thresh = 12)

Arguments

x	Matched object
sets	Character vector describing which matched set(s) to include in the plot. Options are 'focal', 'matched', 'pool', or 'unmatched'. Multiple options are accepted.
type	Character naming the plot type. Available options are one of either 'ridges', 'jitter', 'lines', or 'bars'. Note that for large datasets, use of 'jitter' is discouraged because the large density of points can stall the R-graphics device.
log	Character vector describing which axis or axes to apply log-transformation. Available options are 'x' and/or 'y'.
...	Additional arguments.
thresh	Integer describing the number of unique values required to classify a numeric variable as discrete (and convert it to a factor). If the number of unique values exceeds thresh then the variable is considered continuous.

Details

plotPropensity uses the thresh argument to determine whether to plot propensity scores as continuous (line plot) or catetgorical (bar plot). These settings can also be overwritten manually.

Value

Returns a plot of propensity score distributions among matched sets.

See Also

plotCovariate() to plot covariate distributions.

Examples

## Matched example dataset
set.seed(123)
mdf <- makeExampleMatchedDataSet(matched = TRUE)

## Visualize propensity scores
plotPropensity(mdf)
plotPropensity(mdf,
              sets = c('focal', 'matched', 'pool'))
plotPropensity(mdf,
              sets = c('focal', 'matched', 'pool'),
              type = 'ridges')
plotPropensity(mdf,
              sets = c('focal', 'matched', 'pool'),
              type = 'jitter')

nullranges/nullranges documentation built on Aug. 29, 2023, 12:13 a.m.