time_series_proc: Process time series data
In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization

Description Usage Arguments Details Examples

This function is used for time series data processing.

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

`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.

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.

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')