#' PMV_custom
#'
#' Calculate Predicted Mean Vote (PMV) following ISO 7730 customizing some individual features.
#'
#' @param t numeric Air temperature in degC.
#' @param rh numeric Relative humidity in percentage.
#' @param wind numeric Windspeed in meter per second.
#' @param tr numeric Mean radiant temperature in degC.
#' @param clo numeric Available basic clothing insulation in clo.
#' @param age numeric Age in years.
#' @param mbody numeric Body Mass in kg.
#' @param ht numeric Heigth of subject in meters.
#' @param gender character Sex of the subject. Default is "male".
#' @return Predicted Mean Vote customized
#'
#'
#' @author Istituto per la Bioeconomia CNR Firenze Italy Alfonso Crisci \email{alfonso.crisci@@ibe.cnr.it}
#' @keywords PMV_custom
#'
#' @export
#'
#'
#'
#'
PMV_custom=function(t,rh,wind,tr,clo,age,mbody,ht,gender="male") {
ct$assign("t", as.array(t))
ct$assign("rh", as.array(rh))
ct$assign("wind", as.array(wind))
ct$assign("mtrad", as.array(tr))
ct$assign("iclo", as.array(clo))
ct$assign("age", as.array(age))
ct$assign("mbody", as.array(mbody))
ct$assign("ht", as.array(ht))
ct$assign("gender", as.array(gender))
ct$eval("var res=[]; for(var i=0, len=t.length; i < len; i++){ res[i]=PMV_custom(t[i],rh[i],wind[i],mtrad[i],iclo[0],age[0],mbody[0],ht[0],gender[0])};")
res=ct$get("res")
return(ifelse(res==9999,NA,res))
}
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