adm_data_cleanr: Clean TB admission data sets
In JayAchar/tbcleanr: tbcleanr: tools for cleaning TB datade
Description
Usage
Arguments
Value
Author(s)
See Also
View source: R/adm_data_cleanr.R
Description
Simplify workflow of cleaning TB admission data sets from EpiInfo or Koch 6
by adding an object class for identification, subsetting variables,
extracting additional information from ID numbers in Epiinfo, formatting date,
gender, HIV and treatment outcome variables. Also, converts drug dosing variables
to binary variables
Usage
1
adm_data_cleanr(x, add = NULL, ...)
Arguments
x
data frame containing variables
add
string of additional variable names to retain in cleaned output data frame
...
further arguments passed to or from other methods
Value
Data frame with an object attribute signifying the data collection software -
"epiinfo" or "koch6"
Author(s)
Jay Achar
See Also
JayAchar/tbcleanr documentation built on Aug. 12, 2020, 8:40 a.m.
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Description Usage Arguments Value Author(s) See Also
View source: R/adm_data_cleanr.R
Description
Simplify workflow of cleaning TB admission data sets from EpiInfo or Koch 6 by adding an object class for identification, subsetting variables, extracting additional information from ID numbers in Epiinfo, formatting date, gender, HIV and treatment outcome variables. Also, converts drug dosing variables to binary variables
Usage
1 | adm_data_cleanr(x, add = NULL, ...)
|
Arguments
x |
data frame containing variables |
add |
string of additional variable names to retain in cleaned output data frame |
... |
further arguments passed to or from other methods |
Value
Data frame with an object attribute signifying the data collection software - "epiinfo" or "koch6"
Author(s)
Jay Achar
See Also
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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