univariate_balance_plot: Assess balance for a single covairate.
In jackcollison/causality: Tools for Performing Causal Inference with Observational Data
Description
Usage
Arguments
Value
Examples
Description
Assess balance for a single covairate.
Usage
1
Arguments
data
a dataframe object containing the variables and values.
covariate
a character vectors specifying the covariate
w
a character vector specifying the treatment variable.
Treatment must be specified as 0 and 1 or TRUE and FALSE.
colors
an optional vector of two specifying the colors for the control and
treatment groups, respectively.
title
an optional plot title.
Value
a ggplot object.
Examples
1
2
3
4
5
6
7
data(lalonde)
# histogram for continues variable:
univariate_balance_plot(lalonde, "age", "treat")
# bar plot for discrete factor variable:
lalonde$hisp <- factor(lalonde$hisp)
univariate_balance_plot(lalonde, "hisp", "treat")
jackcollison/causality documentation built on Dec. 20, 2021, 8:05 p.m.
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Description Usage Arguments Value Examples
Description
Assess balance for a single covairate.
Usage
1 |
Arguments
data |
a dataframe object containing the variables and values. |
covariate |
a character vectors specifying the covariate |
w |
a character vector specifying the treatment variable. Treatment must be specified as 0 and 1 or TRUE and FALSE. |
colors |
an optional vector of two specifying the colors for the control and treatment groups, respectively. |
title |
an optional plot title. |
Value
a ggplot object.
Examples
1 2 3 4 5 6 7 | data(lalonde)
# histogram for continues variable:
univariate_balance_plot(lalonde, "age", "treat")
# bar plot for discrete factor variable:
lalonde$hisp <- factor(lalonde$hisp)
univariate_balance_plot(lalonde, "hisp", "treat")
|
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.
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