remove_missingdata: A function used in acoarm to remove missing data
In TwoPhaseInd: Estimate Gene-Treatment Interaction Exploiting Randomization
View source: R/remove_missingdata.R
remove_missingdata R Documentation
A function used in acoarm to remove missing data
Description
It is used to remove samples which have NA/missing data in covariates.
Usage
remove_missingdata(data)
Arguments
data
data is a dataframe.
Details
The function removes samples (by rows) which have NA/missing data.
Value
A list of the following components.
idx
The indices of rows without missing values
data
The dataframe without missing values
Author(s)
James Y. Dai
Examples
## Load the example data
data(acodata)
result <- remove_missingdata(acodata[, c("vacc1_evinf","fcgr2a.3")])
TwoPhaseInd documentation built on March 18, 2022, 7:52 p.m.
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View source: R/remove_missingdata.R
| remove_missingdata | R Documentation |
A function used in acoarm to remove missing data
Description
It is used to remove samples which have NA/missing data in covariates.
Usage
remove_missingdata(data)
Arguments
data |
data is a dataframe. |
Details
The function removes samples (by rows) which have NA/missing data.
Value
A list of the following components.
idx |
The indices of rows without missing values |
data |
The dataframe without missing values |
Author(s)
James Y. Dai
Examples
## Load the example data
data(acodata)
result <- remove_missingdata(acodata[, c("vacc1_evinf","fcgr2a.3")])
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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