test_gender: Function to check the format of 'gender' column in data
In IPDFileCheck: Basic Functions to Check Readability, Consistency, and Content of an Individual Participant Data File
Description
Usage
Arguments
Value
Examples
Description
Function to check the format of 'gender' column in data
Usage
1
test_gender(data, gendercode, gendercolumn = "gender", nrcode = NA)
Arguments
data
a data frame
gendercode
how gender is coded
gendercolumn
column name for gender
nrcode
non response code corresponding to gender column
Value
0, if success error if failure
Examples
1
2
test_gender(data.frame("sex" = c("m", "f"), "Name" = c("John", "Dora")),
c("f", "m"), "sex", 999)
IPDFileCheck documentation built on Feb. 1, 2022, 9:07 a.m.
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.
Description Usage Arguments Value Examples
Description
Function to check the format of 'gender' column in data
Usage
1 | test_gender(data, gendercode, gendercolumn = "gender", nrcode = NA)
|
Arguments
data |
a data frame |
gendercode |
how gender is coded |
gendercolumn |
column name for gender |
nrcode |
non response code corresponding to gender column |
Value
0, if success error if failure
Examples
1 2 | test_gender(data.frame("sex" = c("m", "f"), "Name" = c("John", "Dora")),
c("f", "m"), "sex", 999)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.