plotEstimates: Plot estimates along the frontier.
In MatchingFrontier: Computation of the Balance - Sample Size Frontier in Matching Methods for Causal Inference
Description
Usage
Arguments
Details
References
Examples
View source: R/plotEstimates.R
Description
plotEstimates() plots estimates along the frontier.
Usage
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plotEstimates(estimates.object,
xlab = 'Number of Observations Pruned',
ylab = 'Estimate',
main = 'Effects Plot',
xlim = NULL,
ylim = NULL,
mod.dependence.col = rgb(255,0,0,127, maxColorValue=255),
mod.dependence.border.col = rgb(255,0,0,200, maxColorValue=255),
line.col = rgb(102,0,0,255, maxColorValue=255),
...)
Arguments
estimates.object
An object generated by estimateEffects()
xlab
The label for the x-axis. Defaults to 'Number of Observations Pruned'.
ylab
The label for the y-axis. Defaults to 'Estimate'.
main
The main label. Defaults to 'Effects Plot'.
xlim
The x-axis limits.
ylim
The y-axis limits.
...
Additional arguments to be passed to plot.
mod.dependence.col
The color to shade the model dependence region.
mod.dependence.border.col
The model dependence region border color.
line.col
The color of the line displaying point estimates.
Details
plotEstimates() wraps plot and uses ... to
pass additional arguments to the base plot() function,
like color, axis range, etc.
References
King, Gary, Christopher Lucas, and Richard
Nielsen. "The Balance-Sample
Size Frontier in Matching Methods for Causal Inference." (2015).
Examples
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data(lalonde)
match.on <- colnames(lalonde)[!(colnames(lalonde) %in% c('re78', 'treat'))]
my.frontier <- makeFrontier(dataset = lalonde,
treatment = 'treat',
outcome = 're78',
match.on = match.on)
base.form <- as.formula('re78 ~ treat + age + education
+ black + hispanic + married +
nodegree + re74 + re75')
## Not run:
my.estimates <- estimateEffects(my.frontier,
're78 ~ treat',
mod.dependence.formula = base.form,
continuous.vars = c('age', 'education', 're74', 're75'),
prop.estimated = .1,
means.as.cutpoints = TRUE)
plotEstimates(my.estimates)
## End(Not run)
Example output
Loading MatchingFrontier Version 1.0.0
## Citation ##
King, Gary, Christopher Lucas, and Richard Nielsen. "MatchingFrontier:
Automated Matching for Causal Inference." R package version 1.0.0.
## BibTeX ##
@manual{MatchingFrontier,
title={MatchingFrontier: Automated Matching for Causal Inference},
author={King, Gary and Lucas, Christopher and Nielsen, Richard},
year={2014},
note={R package version 1.0.0}
}
Calculating Mahalanobis distances...
Calculating theoretical frontier...
Calculating information for plotting the frontier...
$age
[1] 30
$education
[1] 12
$re74
[1] 11703.2
$re75
[1] 11082.1
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Warning message:
In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
MatchingFrontier documentation built on May 2, 2019, 4:16 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details References Examples
View source: R/plotEstimates.R
Description
plotEstimates() plots estimates along the frontier.
Usage
1 2 3 4 5 6 7 8 9 10 | plotEstimates(estimates.object,
xlab = 'Number of Observations Pruned',
ylab = 'Estimate',
main = 'Effects Plot',
xlim = NULL,
ylim = NULL,
mod.dependence.col = rgb(255,0,0,127, maxColorValue=255),
mod.dependence.border.col = rgb(255,0,0,200, maxColorValue=255),
line.col = rgb(102,0,0,255, maxColorValue=255),
...)
|
Arguments
estimates.object |
An object generated by |
xlab |
The label for the x-axis. Defaults to 'Number of Observations Pruned'. |
ylab |
The label for the y-axis. Defaults to 'Estimate'. |
main |
The main label. Defaults to 'Effects Plot'. |
xlim |
The x-axis limits. |
ylim |
The y-axis limits. |
... |
Additional arguments to be passed to |
mod.dependence.col |
The color to shade the model dependence region. |
mod.dependence.border.col |
The model dependence region border color. |
line.col |
The color of the line displaying point estimates. |
Details
plotEstimates() wraps plot and uses ... to
pass additional arguments to the base plot() function,
like color, axis range, etc.
References
King, Gary, Christopher Lucas, and Richard Nielsen. "The Balance-Sample Size Frontier in Matching Methods for Causal Inference." (2015).
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | data(lalonde)
match.on <- colnames(lalonde)[!(colnames(lalonde) %in% c('re78', 'treat'))]
my.frontier <- makeFrontier(dataset = lalonde,
treatment = 'treat',
outcome = 're78',
match.on = match.on)
base.form <- as.formula('re78 ~ treat + age + education
+ black + hispanic + married +
nodegree + re74 + re75')
## Not run:
my.estimates <- estimateEffects(my.frontier,
're78 ~ treat',
mod.dependence.formula = base.form,
continuous.vars = c('age', 'education', 're74', 're75'),
prop.estimated = .1,
means.as.cutpoints = TRUE)
plotEstimates(my.estimates)
## End(Not run)
|
Example output
Loading MatchingFrontier Version 1.0.0
## Citation ##
King, Gary, Christopher Lucas, and Richard Nielsen. "MatchingFrontier:
Automated Matching for Causal Inference." R package version 1.0.0.
## BibTeX ##
@manual{MatchingFrontier,
title={MatchingFrontier: Automated Matching for Causal Inference},
author={King, Gary and Lucas, Christopher and Nielsen, Richard},
year={2014},
note={R package version 1.0.0}
}
Calculating Mahalanobis distances...
Calculating theoretical frontier...
Calculating information for plotting the frontier...
$age
[1] 30
$education
[1] 12
$re74
[1] 11703.2
$re75
[1] 11082.1
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Warning message:
In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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