time_series_proc {creditmodel}R Documentation

Process time series data

Description

This function is used for time series data processing.

Usage

time_series_proc(dat, ID = NULL, group = NULL, time = NULL)

Arguments

dat

A data.frame contained only predict variables.

ID

The name of ID of observations or key variable of data. Default is NULL.

group

The group of behavioral or status variables.

time

The name of variable which is time when behavior was happened.

Details

The key to creating a good model is not the power of a specific modelling technique, but the breadth and depth of derived variables that represent a higher level of knowledge about the phenomena under examination.

Examples

dat = data.frame(id = c(1,1,1,2,2,3,3,3,4,4,4,4,4,5,5,6,7,7,
                            8,8,8,9,9,9,10,10,11,11,11,11,11,11),
                     terms = c('a','b','c','a','c','d','d','a',
                               'b','c','a','c','d','a','c',
                                  'd','a','e','f','b','c','f','b',
                               'c','h','h','i','c','d','g','k','k'),
                     time = c(8,3,1,9,6,1,4,9,1,3,4,8,2,7,1,
                              3,4,1,8,7,2,5,7,8,8,2,1,5,7,2,7,3))

time_series_proc(dat = dat, ID = 'id', group = 'terms',time = 'time')

[Package creditmodel version 1.3.0 Index]