Description Usage Arguments Details
View source: R/data_transformation.R
This function is used for derivating behavioral variables and is not intended to be used by end user.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | derived_ts_vars(
dat,
grx = NULL,
td = NULL,
ID = NULL,
ex_cols = NULL,
x_list = NULL,
der = c("cvs", "sums", "means", "maxs", "max_mins", "time_intervals",
"cnt_intervals", "total_pcts", "cum_pcts", "partial_acfs"),
parallel = TRUE,
note = TRUE
)
derived_ts(
dat,
grx_x = NULL,
x_list = NULL,
td = NULL,
ID = NULL,
ex_cols = NULL,
der = c("cvs", "sums", "means", "maxs", "max_mins", "time_intervals",
"cnt_intervals", "total_pcts", "cum_pcts", "partial_acfs")
)
|
dat |
A data.frame contained only predict variables. |
grx |
Regular expressions used to match variable names. |
td |
Number of variables to derivate. |
ID |
The name of ID of observations or key variable of data. Default is NULL. |
ex_cols |
A list of excluded variables. Regular expressions can also be used to match variable names. Default is NULL. |
x_list |
Names of independent variables. |
der |
Variables to derivate |
parallel |
Logical, parallel computing. Default is FALSE. |
note |
Logical, outputs info. Default is TRUE. |
grx_x |
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.
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