remove_missingdata: A function used in acoarm to remove missing data
In JamesYuDai/TwoPhaseInd: Estimate Gene-Treatment Interaction Exploiting Randomization

It is used to remove samples which have NA/missing data in covariates.

1	remove_missingdata(data)

data

data is a dataframe.

The function removes samples (by rows) which have NA/missing data.

A list of the following components.

`idx`	The indices of rows without missing values
`data`	The dataframe without missing values

James Y. Dai

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## Load the example data
data(acodata)
result <- remove_missingdata(acodata[, c("vacc1_evinf","fcgr2a.3")])

JamesYuDai/TwoPhaseInd documentation built on Feb. 18, 2022, 1:52 a.m.

JamesYuDai/TwoPhaseInd index

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