scan_data: Scan a data frame to determine the percentage of 'missing',...
In cleanepi: Clean and Standardize Epidemiological Data
View source: R/clean_data_helpers.R
scan_data R Documentation
Scan a data frame to determine the percentage of missing, numeric,
Date, character, and logical values in every column.
Description
Scan a data frame to determine the percentage of missing, numeric,
Date, character, and logical values in every column.
Usage
scan_data(data)
Arguments
data
A data frame or linelist
Value
A data frame or linelist with the same columns as the input data
and 5 rows representing the percentage of missing, numeric, date, character,
and logical values in each column.
Examples
scan_result <- scan_data(
data = readRDS(system.file("extdata", "messy_data.RDS",
package = "cleanepi"))
)
cleanepi documentation built on June 22, 2024, 9:48 a.m.
R Package Documentation
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View source: R/clean_data_helpers.R
| scan_data | R Documentation |
Scan a data frame to determine the percentage of missing, numeric,
Date, character, and logical values in every column.
Description
Scan a data frame to determine the percentage of missing, numeric,
Date, character, and logical values in every column.
Usage
scan_data(data)
Arguments
data |
A data frame or linelist |
Value
A data frame or linelist with the same columns as the input data and 5 rows representing the percentage of missing, numeric, date, character, and logical values in each column.
Examples
scan_result <- scan_data(
data = readRDS(system.file("extdata", "messy_data.RDS",
package = "cleanepi"))
)
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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