Description Usage Arguments Details Examples
View source: R/data_transformation.R
This function is used for time series data processing.
1 |
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.
1 2 3 4 5 6 7 8 9 10 | 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')
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