This function is used for derivating behavioral variables and is not intended to be used by end user.
derived_ts_vars(dat, grx, td = 12, der = c("cvs", "sums", "means",
"maxs", "max_mins", "time_intervals", "cnt_intervals", "total_pcts",
"cum_pcts", "partial_acfs"), parallel = TRUE)derived_ts(dat = dat, grx_x = NULL, td = 12, der = c("cvs", "sums",
"means", "maxs", "max_mins", "time_intervals", "cnt_intervals",
"total_pcts", "cum_pcts", "partial_acfs"))
A data.frame contained only predict variables.
Regular expressions used to match variable names.
Number of variables to derivate.
Variables to derivate
Logical, parallel computing. Default is FALSE.
Regular expression used to match a group of variable names.
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.