fbalance: Balance test of Covariates across treatments
In KatoPachi/Rkato: My R functions
Description
Usage
Arguments
Value
Description
This function implements F-test for the null hypothesis that
observed variables are balanced across treatments.
First, this function runs a linear regression of covariate on treatments,
using lm().
After that, we obtaine F-statistics and its p-value, using anova().
Usage
1
Arguments
x
a formula object whose right hand side is covariates (~ x1 + x2).
d
a formula object whose right hand side is treatment variable (~ d)
data
an object whose class is data.frame
Value
A matrix including mean of covariate in each treatment and
p-value of F-statistics. This matrix has RCT and xbalance classes.
KatoPachi/Rkato documentation built on Dec. 18, 2021, 2:42 a.m.
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Description Usage Arguments Value
Description
This function implements F-test for the null hypothesis that
observed variables are balanced across treatments.
First, this function runs a linear regression of covariate on treatments,
using lm().
After that, we obtaine F-statistics and its p-value, using anova().
Usage
1 |
Arguments
x |
a formula object whose right hand side is covariates ( |
d |
a formula object whose right hand side is treatment variable ( |
data |
an object whose class is |
Value
A matrix including mean of covariate in each treatment and
p-value of F-statistics. This matrix has RCT and xbalance classes.
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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