variableTypes: Classify the variables between 5 types: "numeric",...
In PatientProfiles: Identify Characteristics of Patients in the OMOP Common Data Model
variableTypes R Documentation
Classify the variables between 5 types: "numeric", "categorical", "binary",
"date", or NA.
Description
Classify the variables between 5 types: "numeric", "categorical", "binary",
"date", or NA.
Usage
variableTypes(table)
Arguments
table
Tibble.
Value
Tibble with the variables type and classification.
Examples
library(PatientProfiles)
x <- dplyr::tibble(
person_id = c(1, 2),
start_date = as.Date(c("2020-05-02", "2021-11-19")),
asthma = c(0, 1)
)
variableTypes(x)
PatientProfiles documentation built on Oct. 30, 2024, 9:13 a.m.
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| variableTypes | R Documentation |
Classify the variables between 5 types: "numeric", "categorical", "binary", "date", or NA.
Description
Classify the variables between 5 types: "numeric", "categorical", "binary", "date", or NA.
Usage
variableTypes(table)
Arguments
table |
Tibble. |
Value
Tibble with the variables type and classification.
Examples
library(PatientProfiles)
x <- dplyr::tibble(
person_id = c(1, 2),
start_date = as.Date(c("2020-05-02", "2021-11-19")),
asthma = c(0, 1)
)
variableTypes(x)
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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