entropy.seg
applies Shannon entropy to V-usage and hence measures variability of V-usage.
Function js.div.seg
applied Jensen-Shannon divergence to V-usage of two or more data frames and hence measures distance among this V-usages.entropy.seg(.data, .frame = c('all', 'in', 'out'),
.alphabet = if (.VJ) "beta" else 'TRBV', .meat = F, .other = T, .VJ = F)js.div.seg(.data, .data2 = NULL, .frame = c('all', 'in', 'out'), .norm.entropy = T,
.alphabet = if (.VJ) "beta" else 'TRBV', .meat = F, .other = T, .VJ = F,
.verbose = T)
freq.segments()
and freq.segments.2D()
functions.freq.segments()
and freq.segments.2D()
functions.freq.segments()
and freq.segments.2D()
functions.freq.segments
function, else apply freq.segments.2D
function.entropy.seg
- numeric integer with entropy value(s). For js.div.seg
- integer of vector one if .data
and .data2
are provided;
esle matrix length(.data) X length(.data) if .data
is a list.