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pbox.R
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########################################################################################
########################################################################################
#p-box functions and their inverses
#started 31072020
#updated 29082020
#rowan iskandar
########################################################################################
########################################################################################
#part 1
#pbox functions (given different data)
#given min, max
pbox_minmax <-function(x,type,min,max){
if (type=="lower"){
if (x<max){
p=0
}
else{
p=1
}
}
else{
if (x<min){
p=0
}
else{
p=1
}
}
return(p)
}
#given min, max, mean
pbox_mean <- function(x,type,min,max,mean){
if (type=="lower"){
if (x<mean){
p=0
}
else if(mean <= x & x<max){
p=(x-mean)/(x-min)
}
else {
p=1
}
}
else{
if (x<mean){
p=(max-mean)/(max-x)
}
else{
p=1
}
}
return(p)
}
#given min, max, median
pbox_median <- function(x,type,min,max,median){
if (type=="lower"){
if (x<median){
p=0
}
else if(max > x & x>=median){
p=1/2
}
else{
p=1
}
}
else{
if (x<min){
p=0
}
else if(min<=x & x<median){
p=1/2
}
else{
p=1
}
}
return(p)
}
#given min, max, mean, std
pbox_mean_std <- function(x,type, min, max, mean, std){
xi1 <- mean - (std^2)/(max-mean)
xi2 <- mean + std^2/(mean-min)
#print(xi1)
#print(xi2)
if (type=="lower"){
if (x <= xi1 ){
p=0
}
else if (xi1 < x && x <= xi2 ){
num <- std^2+(max-mean)*(x-mean)
denom <- (max-min)*(x-min)
p <- num/denom
}
else {
num <- (x-mean)^2
denom <- (x-mean)^2 + std^2
p <- num/denom
}
}
else {
if (x <= xi1 ){
num <- (std)^2
denom <- (mean-x)^2 + std^2
p <- num/denom
}
else if (xi1 < x && x <= xi2 ){
num <- (max-mean)*(max-min+mean-x)-std^2
denom <- (max-min)*(max-x)
p <- num/denom
}
else {
p=1
}
}
return(p)
}
pbox_median_std <- function(x, type, min, max, median, mean, std){
if (type=="upper"){ #
min.median<-pbox_median(x,type,min,max,median)
min.std<-pbox_mean_std(x,type,min,max,mean,std)
return(min(min.median,min.std))
}
else{
max.median<-pbox_median(x,type,min,max,median)
max.std<-pbox_mean_std(x,type,min,max,mean,std)
return(max(max.median,max.std))
}
}
########################################################################################
#inverse p-box functions for simulating p-box
#inverse for mean
#new version as of 04112020 #incorrect!
# pbox_mean_inv <- function(u,type,min,max,mean){
# #crit <- (max-mean)/(max-min)
# crit <- mean
# if (type=="lower"){
# #need to double check
# if(u<0){
# #x=max
# x=mean
# #x=min
# }
# else if(0<=u && u<crit){ #changed from crit < u
# x=(u*max-max+mean)/u
# }
# # else if(u==crit){
# # x=min
# # }
# else if(u>crit){
# x=max
# }
# }
# else{
# if (u==1){
# x=mean
# }
# else if (0<=u && u< crit){ #changed from 0<u
# x=min
# }
# # else if(u==0){
# # #x=min #not sure, min <= x < mean will yield u=0
# # }
# else if(crit <=u && u<1){ #not sure about the condition
# x=(u*min-mean)/(u-1)
# }
# }
# return(x)
# }
#older (may 19 2021)
# pbox_mean_inv <- function(u,type,min,max,mean){
# crit <- (max-mean)/(max-min)
# print(crit)
# if (type=="upper"){
# #need to double check
# if(u==1){
# x=max
# #x=mean
# }
# else if(crit<u && u<1){
# x=(u*max-max+mean)/u
# }
# else if(u==crit){
# x=min
# }
# else if(u<crit){
# x=min
# }
# }
# else{
# if (u==1){
# x=max
# }
# else if (0<u && u< crit){
# x=(u*min-mean)/(u-1)
# }
# else if(u<=0){
# x=min #not sure, min <= x < mean will yield u=0
# }
# else if(crit <=u && u<1){ #not sure about the condition
# x=max
# }
# }
# return(x)
# }
#newest version may 19 2021 correct version!!!!!
pbox_mean_inv <- function(u,type,min,max,mean){
crit <- (max-mean)/(max-min)
#print(crit)
if (type=="upper"){
#need to double check
if(u==1){
x=max
#x=mean
}
else if(crit<u && u<1){
x=(u*max-max+mean)/u
}
else if(u==crit){
x=min
}
else if(u<crit){
x=min
}
}
else{
if (u==1){
x=max
}
else if (0<u && u< crit){
x=(u*min-mean)/(u-1)
}
else if(u<=0){
x=(u*min-mean)/(u-1) #not sure, min <= x < mean will yield u=0
}
else if(crit <=u && u<1){ #not sure about the condition
x=max
}
}
return(x)
}
#inverse for minmax
#newer version may 19 2021
pbox_minmax_inv <-function(u,type,min,max){
if (type=="upper"){
if(u<1){
x=min
}
else{x=max}
}
else{
if(u==0){
x=min}
else{
x=max
}
}
return (x)
}
#older version
# pbox_minmax_inv <-function(u,type,min,max){
# if (type=="upper"){
# x=min
# }
# else{
# x=max
# }
# return (x)
# }
#inverse for median
pbox_median_inv <-function(u,type,min,max,median){
if (type=="upper"){
if (u<0.5){
x=min
}
else if(u >= 0.5 && u<1){
x=median
}
else{ #different from ver 1
x=max
}
}
else{
if (u<0.5){
x=median
}
else if(0.5 <= u){
x=max
}
else{
x=min
}
}
return (x)
}
#newer version, May 19 2021
pbox_std_inv <- function(u,type, min, max, mean, std){
F1 <- (std^2)/((mean-min)^2+std^2)
#print(F1)
F2 <- (max-mean)^2/((max-mean)^2 + std^2)
#print(F2)
if (type=="upper"){
if (u < F1 ){
x=min
}
else if ( F1 <=u && u < F2 ){
x=mean-std*sqrt((1-u)/u)
}
else if (u >= F2){
num <- (max-mean)*(mean-min)-std^2
denom <- u*(max-min)+mean-max
x <- max - num/denom
}
}
else {
if (u <= F1 ){
num <- (max-mean)*(mean-min)-std^2
denom <- max-mean-u*(max-min)
x<- min + num/denom
}
else if ( F1 < u && u <= F2 ){
x=mean+std*sqrt(u/(1-u))
}
else if (u> F2) {
x=max
}
}
return(x)
}
#older
# pbox_std_inv <- function(u,type, min, max, mean, std){
# F1 <- (std^2)/((mean-min)^2+std^2)
# print(F1)
# F2 <- (max-mean)^2/((max-mean)^2 + std^2)
# print(F2)
# if (type=="upper"){
# if (u < F1 ){
# x=min
# }
# else if ( F1 <=u && u < F2 ){
# x=mean-std*sqrt((1-u)/u)
# }
# else {
# num <- (max-mean)*(mean-min)-std^2
# denom <- u*(max-min)+mean-max
# x <- max - num/denom
# }
# }
# else {
# if (u <= F1 ){
# num <- (max-mean)*(mean-min)-std^2
# denom <- max-mean-u*(max-min)
# x<- min + num/denom
# }
# else if ( F1 < u && u <= F2 ){
# x=mean+std*sqrt(u/(1-u))
# }
# else {
# x=max
# }
# }
# return(x)
# }
#newest 19 May 2021
pbox_median_std_inv <-function(u,type,min,max, median, mean, std){
F1 <- (std^2)/((mean-min)^2+std^2)
# print("---------------------------------")
# print(F1)
F2 <- (max-mean)^2/((max-mean)^2 + std^2)
# print(F2)
# print("---------------------------------")
if (type=="upper"){ #
if(u < F1){
x=min
}
else if (F1 <=u && u< 0.5){
x=mean-std*sqrt((1-u)/u)
}
else if (0.5 <= u && u< F2){
x=median
}
else if ( F2 <= u && u <1){
num <- (max-mean)*(mean-min)-std^2
denom <- u*(max-min)+mean-max
xtemp <- max - num/denom
if (xtemp < median){
x=median
}
else{x<-xtemp}
}
else if(u==1){
x=max
}
}
else{
if(u<F1){
num <- (max-mean)*(mean-min)-std^2
denom <- max-mean-u*(max-min)
xtemp<- min + num/denom
if (xtemp >median){
x<-median
} else {
x <-xtemp
}
}
else if (F1 <= u && u <0.5){
x<-median
}
else if(0.5 <= u && u <F2){
x=mean+std*sqrt(u/(1-u))
}
else if (F2<=u){
x=max
}
}
return(x)
}
#
# #older 19 May 2021
# pbox_median_std_inv_2 <-function(u,type,min,max, median, mean, std){
# if (type=="upper"){ #
# min.median<-pbox_median_inv(u,type,min,max,median)
# min.std<-pbox_std_inv(u,type,min,max,mean,std)
# return(min(min.median,min.std))
# }
# else{
# max.median<-pbox_median_inv(u,type,min,max,median)
# max.std<-pbox_std_inv(u,type,min,max,mean,std)
# return(max(max.median,max.std))
# }
# }