View source: R/estimate_systematic.R
variance.ratio.test | R Documentation |
Given vector of observed outcomes and treatment vector, test to see if there is evidence the variances are different (taking kurtosis into account).
variance.ratio.test(Yobs, Z, data = NULL)
Yobs |
Outcome |
Z |
Treatment assignment vector |
data |
Dataframe with variables listed in formula and control.formula |
df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
variance.ratio.test(df$Yobs, df$Z)
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