viz_dataleaks: Correlation calculation based on rolling window with...

In tsdataleaks: Exploit Data Leakages in Time Series Forecasting Competitions

Correlation calculation based on rolling window with overlapping observations.

Description

Correlation calculation based on rolling window with overlapping observations.

Usage

viz_dataleaks(finddataleaksout)

Arguments

finddataleaksout

list, the output generated from find_dataleaks function

Value

matrix visualizing the output

Examples

a = rnorm(15)
lst <- list(
 a = a,
 b = c(a[10:15]+rep(8,6), rnorm(10), a[1:5], a[1:5]),
 c = c(rnorm(10), a[1:5]),
 d = rnorm(10)
)
f1 <- find_dataleaks(lst, h=5)
viz_dataleaks(f1)

a = rnorm(15)
lst <- list(
 x= a,
 y= c(rnorm(10), a[1:5])
)

f2 <- find_dataleaks(lst, h=5)
viz_dataleaks(f2)

# List without naming elements
lst <- list(
 a,
 c(rnorm(10), a[1:5], a[1:5]),
 rnorm(10)
)
f3 <- find_dataleaks(lst, h=5)
viz_dataleaks(f3)

tsdataleaks documentation built on May 29, 2024, 9:23 a.m.