make_na: Replace special values with NA
In ch-williamson/rundsoc: To simplify working with Understanding Society data
Description
Usage
Arguments
Value
Examples
Description
Replaces Understanding Society's special "missing" values with NA.
Usage
1
Arguments
df
A dataframe.
Value
The same dataframe with Understanding Society's missing values
replaced with NA.
Examples
1
2
3
test_data = data.frame(a = c(532, -2), b = c(-9, 40))
clean_data = make_na(test_data)
clean_data
ch-williamson/rundsoc documentation built on Dec. 19, 2021, 2:59 p.m.
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Description Usage Arguments Value Examples
Description
Replaces Understanding Society's special "missing" values with NA.
Usage
1 |
Arguments
df |
A dataframe. |
Value
The same dataframe with Understanding Society's missing values replaced with NA.
Examples
1 2 3 | test_data = data.frame(a = c(532, -2), b = c(-9, 40))
clean_data = make_na(test_data)
clean_data
|
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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