summarise_missingness: Summarise Missingness by Variable
In seabbs/ETSMissing: Exploring Missing Data in the Enhanced Tuberculosis Surveillance System
Description
Usage
Arguments
Value
Examples
View source: R/summarise_missingness.R
Description
This function filters the ETS so that only entries that could have been missing are
evaluated for each variable.
Usage
1
Arguments
df
A dataframe containing cleaned ETS data as produced by tbinenglanddataclean.
Value
A named list summarising missing data for the following variables: date of starting treatment,
date of ending treatment, date of death, and cause of death.
Examples
1
2
## Code
summarise_missingness
seabbs/ETSMissing documentation built on Nov. 22, 2019, 5:08 p.m.
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Description Usage Arguments Value Examples
View source: R/summarise_missingness.R
Description
This function filters the ETS so that only entries that could have been missing are evaluated for each variable.
Usage
1 |
Arguments
df |
A dataframe containing cleaned ETS data as produced by |
Value
A named list summarising missing data for the following variables: date of starting treatment, date of ending treatment, date of death, and cause of death.
Examples
1 2 | ## Code
summarise_missingness
|
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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