#' Get q's of particular email
#'
#' For a given email this function computes all the possible q's to use
#' later.
#' @param x the email.
#' @param fit object of class naive-Bayes including the results from
#' training.
#' @return This function returns a vector with the possible q's.
#' @keywords attacks
#' @export
#' @examples
#' getQs(x, fit)
getQs = function(x, fit){
qDist = rep(0, length(x) + 2 )
pSpam = getNBPriors(fit)["1"]
pNoSpam = 1.0 - pSpam
# This is q_0
qDist[1] = getNBProbabilities(fit, x)[, "0"] * pNoSpam
# This is q_n+1
qDist[length(qDist)] = getNBProbabilities(fit, x)[, "1"] * pSpam
# This is q_1, ..., q_n
for(i in 1:length(x) ){
xtmp = x
if( x[i] == 1 ) {
xtmp[i] = factor(0, levels = c(0,1))
qDist[i+1] = getNBProbabilities(fit, xtmp)[, "1"] * pSpam
}
}
return(qDist)
}
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