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Compute a vector of weights with a decay rate.

Source: R/FMAT.R
weight_decay.Rd

Compute a vector of weights with a decay rate.

Usage

weight_decay(vector, decay)

Arguments

vector

Vector of sequence.

decay

Decay factor for computing weights. A smaller decay value would give greater weight to the former items than to the latter items. The i-th item has raw weight = decay ^ i.

  • decay = 1: all items are equally important

  • 0 < decay < 1: first items are more important

  • decay > 1: last items are more important

Value

Normalized weights (i.e., sum of weights = 1).

See also

FMAT_run()

Examples

# "individualism"
weight_decay(c("individual", "##ism"), 0.5)
#> individual      ##ism 
#>  0.6666667  0.3333333 
weight_decay(c("individual", "##ism"), 0.8)
#> individual      ##ism 
#>  0.5555556  0.4444444 
weight_decay(c("individual", "##ism"), 1)
#> individual      ##ism 
#>        0.5        0.5 
weight_decay(c("individual", "##ism"), 2)
#> individual      ##ism 
#>  0.3333333  0.6666667 

# "East Asian people"
weight_decay(c("East", "Asian", "people"), 0.5)
#>      East     Asian    people 
#> 0.5714286 0.2857143 0.1428571 
weight_decay(c("East", "Asian", "people"), 0.8)
#>      East     Asian    people 
#> 0.4098361 0.3278689 0.2622951 
weight_decay(c("East", "Asian", "people"), 1)
#>      East     Asian    people 
#> 0.3333333 0.3333333 0.3333333 
weight_decay(c("East", "Asian", "people"), 2)
#>      East     Asian    people 
#> 0.1428571 0.2857143 0.5714286