filter_same_cycle: Filter the instances in a data.table with different ids in...

In dbnR: Dynamic Bayesian Network Learning and Inference

Filter the instances in a data.table with different ids in each row

Description

Given an id variable that labels the different instances of a time series inside a dataset, discard the rows that have values from more than 1 id.

Usage

filter_same_cycle(f_dt, size, id_var)

Arguments

f_dt	folded data.table
size	the size of the data.table
id_var	the variable that labels each individual instance of the time series

Value

the filtered data.table

Examples

dt <- dbnR::motor[201:2500]
dt[, n_sec := rep(seq(46), each = 50)] # I'll create secuences of 50 instances each
f_dt <- dbnR::fold_dt(dt, size = 2)
f_dt[50, .SD, .SDcols = c("n_sec_t_0", "n_sec_t_1")]
f_dt <- dbnR::filter_same_cycle(f_dt, size = 2, id_var = "n_sec")
f_dt[50, .SD, .SDcols = c("n_sec_t_0", "n_sec_t_1")]

dbnR documentation built on June 22, 2024, 10:54 a.m.