ccTable_filter_missingness: Data missing filter
In CC-HIC/cleanEHR: The Critical Care Clinical Data Processing Tools
ccTable_filter_missingness R Documentation
Data missing filter
Description
Deal with data when insufficient data points are supported. There are
two key items to be set in the YAML configuration file.
1) labels – time interval. 2) accept_2d – the accept present ratio.
So if we set the labels is 24, and accept_2d is 70. It means we accept
all the missing rate that is lower than 30
Arguments
recount
logical value. Recount the missingness if TRUE.
CC-HIC/cleanEHR documentation built on Aug. 28, 2022, 10:33 a.m.
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| ccTable_filter_missingness | R Documentation |
Data missing filter
Description
Deal with data when insufficient data points are supported. There are two key items to be set in the YAML configuration file. 1) labels – time interval. 2) accept_2d – the accept present ratio. So if we set the labels is 24, and accept_2d is 70. It means we accept all the missing rate that is lower than 30
Arguments
recount |
logical value. Recount the missingness if TRUE. |
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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