In ataqi23/RMAT: Random Matrix Analysis Toolkit

knitr::opts_chunk$set(echo = TRUE)
library(RMAT)
library(tidyverse)

# Eigenvalue dispersion in parallel
P <- RME_norm(N = 50, size = 20)
disp_P <- dispersion_par(P)

ens <- RME_norm(5, size = 2)
length(ens)
elem_ens <- ens[[1]]
P <- RM_norm(5, cplx = TRUE)
length(P)
elem_P <- P[[1]]
class(elem_P)
"matrix" %in% class(elem_ens)
sum(c("numeric","complex") %in% class(elem_P))

.arrayClass(P)

N <- 5
purrr::map_dfr(2:N, function(i){data.frame(i = i, j = i - 1)})

ataqi23/RMAT documentation built on May 10, 2021, 12:03 a.m.