util_dichotomize: utility function to dichotomize variables
In dataquieR: Data Quality in Epidemiological Research
View source: R/util_dichotomize.R
util_dichotomize R Documentation
utility function to dichotomize variables
Description
use the metadata attribute RECODE (="recode") to
dichotomize the data
Usage
util_dichotomize(study_data, meta_data, label_col = VAR_NAMES)
Arguments
study_data
study data including jump/missing codes as specified in the
code conventions
meta_data
metadata as specified in the code conventions
label_col
variable attribute the name of the column in the metadata
with labels of variables
dataquieR documentation built on July 26, 2023, 6:10 p.m.
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View source: R/util_dichotomize.R
| util_dichotomize | R Documentation |
utility function to dichotomize variables
Description
use the metadata attribute RECODE (="recode") to
dichotomize the data
Usage
util_dichotomize(study_data, meta_data, label_col = VAR_NAMES)
Arguments
study_data |
study data including jump/missing codes as specified in the code conventions |
meta_data |
metadata as specified in the code conventions |
label_col |
variable attribute the name of the column in the metadata with labels of variables |
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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