remove_if_all_missing: Remove subjects from dataset if they have no observed values
In rbmi: Reference Based Multiple Imputation
remove_if_all_missing R Documentation
Remove subjects from dataset if they have no observed values
Description
This function takes a data.frame with variables visit, outcome & subjid.
It then removes all rows for a given subjid if they don't have any non-missing
values for outcome.
Usage
remove_if_all_missing(dat)
Arguments
dat
a data.frame
rbmi documentation built on Nov. 24, 2023, 5:11 p.m.
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| remove_if_all_missing | R Documentation |
Remove subjects from dataset if they have no observed values
Description
This function takes a data.frame with variables visit, outcome & subjid.
It then removes all rows for a given subjid if they don't have any non-missing
values for outcome.
Usage
remove_if_all_missing(dat)
Arguments
dat |
a |
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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