dateRefill.fromData {tigerhitteR}

Complete the hollow dataset

Description

Take time series dataset and fields, then refill the missing date records and other fields.

Usage

dateRefill.fromData(data, dateCol.index, fixedCol.index,
  uninterpolatedCol.index, uninterpolatedCol.newValue)

Arguments

data

The data.frame dataset which is ready to be processed

dateCol.index

Date column

fixedCol.index

A row of column number which should be kept same values with the original

uninterpolatedCol.index

The column number which should be changed to different value into new record.

uninterpolatedCol.newValue

The value of a specific column which should be put into the new record.

Details

Real time series sales dataset could be not continuous in 'date' field. e.g., monthly sales data is continuous, but discrete in daily data.

This hollow dataset is not complete for time series analysis. Function dateRefill.fromFile is a transformation which tranforms uncomplete dataset into complete dataset.

Value

The dataset which is completed.

Author(s)

Will Kuan

Examples

# mydata <- data.example
# mydata.final <- dateRefill.fromData(data = mydata,dateCol = 2,fixedVec = c(3:10),
#                                     uninterpolatedCol.index = 11,uninterpolatedCol.newValue = 0)