Prepare_data: Title Prepare the data for the UFT_Func. Mainly, it converts...
In ranibasna/NumericalTransformation: Transform Categorical data to Numerical
Description
Usage
Arguments
Value
Examples
Description
Title Prepare the data for the UFT_Func. Mainly, it converts factor and character type data to integer format.
Usage
1
Prepare_data(categorical_data)
Arguments
categorical_data
is the original categorical data that the UFT_Func will transform to become numerical. It should be of data frame format.
Value
a data frame with all the data are of int type.
Examples
1
2
X <- data.frame("ID" = 1:4, "Sex" = c("Male", "Male", "Female", "Female" ), "Name" = c("John","Samer", "Sara", "Carolina"), Smoking = c("Yes","No", "No","Yes"))
Prepare_data(X)
ranibasna/NumericalTransformation documentation built on Sept. 2, 2021, 9:50 a.m.
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Description Usage Arguments Value Examples
Description
Title Prepare the data for the UFT_Func. Mainly, it converts factor and character type data to integer format.
Usage
1 | Prepare_data(categorical_data)
|
Arguments
categorical_data |
is the original categorical data that the UFT_Func will transform to become numerical. It should be of data frame format. |
Value
a data frame with all the data are of int type.
Examples
1 2 | X <- data.frame("ID" = 1:4, "Sex" = c("Male", "Male", "Female", "Female" ), "Name" = c("John","Samer", "Sara", "Carolina"), Smoking = c("Yes","No", "No","Yes"))
Prepare_data(X)
|
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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