rec: Initialise a data pre-processing recipe
In MohoWu/oilPrep:
Description
Usage
Arguments
Value
Description
Initialise a data pre-processing recipe
Usage
1
Arguments
data
Data frame.
y
The response variable.
Value
A object of class 'rec'. The object is a list that contains a data
frame containing the meta data of the transformation and the results of some
statistical tests. A data frame containing the actual transformed data. And
the response variable.
The columns in the meta data include:
* id: The sequence id of the transformation
* transformation: The transformation type
* original_vars: The original variable(s) involved in the transformation
* new_var: The name of the new variable as a result of the transformation
* parameter: Any parameter used in the transformation, e.g. rolling window,
leading, lagging order
* norm_test: p-value from the Shapiro-Wilk’s normality test
* station_test: p-value from the Ljung-Box test for stationarity
* cor_resp: correlation coefficient with the target value.
MohoWu/oilPrep documentation built on Dec. 17, 2021, 4:20 a.m.
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Description Usage Arguments Value
Description
Initialise a data pre-processing recipe
Usage
1 |
Arguments
data |
Data frame. |
y |
The response variable. |
Value
A object of class 'rec'. The object is a list that contains a data frame containing the meta data of the transformation and the results of some statistical tests. A data frame containing the actual transformed data. And the response variable.
The columns in the meta data include: * id: The sequence id of the transformation * transformation: The transformation type * original_vars: The original variable(s) involved in the transformation * new_var: The name of the new variable as a result of the transformation * parameter: Any parameter used in the transformation, e.g. rolling window, leading, lagging order * norm_test: p-value from the Shapiro-Wilk’s normality test * station_test: p-value from the Ljung-Box test for stationarity * cor_resp: correlation coefficient with the target value.
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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