convert_columns_to_numeric: Converts specific columns to numeric.
In cutterkom/destatiscleanr: Imports and cleans data from official German statistical offices to jump-start the data analysis
Description
Usage
Arguments
Details
Value
View source: R/convert_columns_to_numeric.R
Description
At first, all imported columns are characters/strings. But of cource, most data in the columns
are numeric values. This function makes an educated guess to find all columns that contain
numeric values.
Usage
1
Arguments
df
dataframe
Details
This is done in several steps:
- make all values to label missing values NA
- set decimal marks to .
- guess which colums should be numeric by setting as.numeric if there are no [A-z] characters in the column
Value
dataframe
cutterkom/destatiscleanr documentation built on June 3, 2020, 4:09 p.m.
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Description Usage Arguments Details Value
View source: R/convert_columns_to_numeric.R
Description
At first, all imported columns are characters/strings. But of cource, most data in the columns are numeric values. This function makes an educated guess to find all columns that contain numeric values.
Usage
1 |
Arguments
df |
dataframe |
Details
This is done in several steps: - make all values to label missing values NA - set decimal marks to . - guess which colums should be numeric by setting as.numeric if there are no [A-z] characters in the column
Value
dataframe
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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