Description Usage Arguments Value Author(s) Examples
View source: R/checkDataQuality.R
The function takes in a data frame object, runs data quality checks on each variable, generates summary statistics, and outputs two csv files containing the data quality report – one for numeric variables and the other for categorical variables
1 2 3 4 | checkDataQuality(data,
out.file.num,
out.file.cat,
numeric.cutoff = -1)
|
data |
An object of class data.frame |
out.file.num |
Filename for saving data quality report of numeric variables |
out.file.cat |
Filename for saving data quality report of categoric variables |
numeric.cutoff |
The minimum number of unique values needed for a numeric variable to be treated as continous. This feature is included to account for binary or multi-category variables, with small number of unique values, which are stored as numeric. Default is -1 which does not place any cut-off and all numeric variables are treated as continuous |
Returns csv files stored directly on disk
Madhav Kumar and Shreyes Upadhyay
1 2 3 4 |
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