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#' title Vyazovkin
#' @description performs analysis of the thermograms using Vyazovkin isoconversional method to calculate the activation energy (Ea)
#' @param bet rate
#' @param T temperature
#' @param Ea estimated Ea to use as a first guess for the iterative process
#' @references VYAZOVKIN, S. Advanced isoconversional method. Journal of thermal analysis, 1997, 49.3: 1493-1499.
#'
#' @export
#' @examples \donttest{
#' require(data.table)
#' require(MASS)
#' rates=c(0.5,1,2,5,10,20,50)
#' a<-lapply(rates, function(x) JMA(A=exp(35),Ea=120000,T0=0,T.end=300,q=x,npoints=5000,n=2))
#' a<-lapply(seq(1,length(a)), function(x) data.table(a[[x]]$time.s,a[[x]]$T.C,
#' a[[x]]$dadT, rates[[x]]))
#' lapply(seq(1,length(a)), function(x) setnames(a[[x]],
#' c("time.seconds","temperature.s","heat.flow","rates") ) )
#' as<-select_degree(ar)
#' vy<-as[, optimize(function(x) VY(temperature.s.K,rate,x), lower=50,upper=250),by=rit]
#' }
VY <- function(T, bet, Ea) {
n=length(T)
integrand <- function(X) {
exp(-Ea * 1000 / (8.314462 * X))
}
my.phi <- array(list(), c(n, n))
for (intI in 1:n)
{
for (intJ in 1:n)
{
if (intI != intJ) {
phi.num <- (integrate(integrand, lower = 273.15, upper = (T[intI])))
phi.den <- (integrate(integrand, lower = 273.15, upper = (T[intJ])))
a <- (phi.num$value) * bet[intJ]
b <- (phi.den$value) * bet[intI]
phi <- a / b
my.phi[intI, intJ] <- phi
#y.phi <- sum(unlist(my.phi))
}
}
}
my.phi <- sum(unlist(my.phi))
return(my.phi)
}
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