Description Usage Arguments Details Value Examples

Normalise the Vairables

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`x` |
A vector or Data frame to be normalised |

`y` |
A depedent vector for depedent normalisation. Default value is NULL(indepedent normalisation). |

`method` |
A method or a vector of methods to apply normalisation on varaibles. If vector not equal to num of variables "unit" normalisation is implemented for the rest. Methods implemented are 1) unitMean 2) unitSD 3) unitMeanSD 4) minMax 5) boxCox 6) log 7) meanDiff 8) medianDiff 9) meanSDDiff 10) medianSDDiff 11) zscore (zero Mean and unit SD) 12) power |

`na.rm` |
A boolean for na treatment. Default is TRUE. |

`diff.val` |
Difference required from mean and median |

`norm.list` |
a list of vlaues for flexible normalisation |

`depedentMod` |
Model to be used for Dependent Normalisation(lm or glm) |

`scores` |
scores to be used for evaluting the normalisation |

log is impleted with 1 added to the value

Normalised vector or a data frame

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