x1<-round(runif(10000,min=1,max=5),0) #значения [1,2,3,4,5]
x2<-runif(10000,min=0,max=1) #случайные числа (0,1]

library(doParallel)
x3<-foreach(i=1:length(x1)) %do% {rvps$prov_calc[x1[i]==rvps$Q_cat & x2[i]>rvps$s3_from & x2[i]<=rvps$s3_to]}
#system.time=2.87

x32<-ifelse(x1==1,0,
     ifelse(x1==2,
            ifelse(x2>0 & x2<=0.9,1,
            ifelse(x2>0.9 & x2<=0.99,10,
            ifelse(x2>0.99 & x2<=1,20,20))),
     ifelse(x1==3,
            ifelse(x2>0 & x2<=0.6,21,
            ifelse(x2>0.6 & x2<=0.65,30,
            ifelse(x2>0.65 & x2<=1,50,50))),
     ifelse(x1==4,
            ifelse(x2>0 & x2<=0.99,51,
            ifelse(x2>0.99 & x2<=1,60,60)),
     ifelse(x1==5,100,100)))))
#system.time=0.02

rvps.prob<-function(X,Y) {rvps$prov_calc[X==rvps$Q_cat & Y>rvps$s3_from & Y<=rvps$s3_to]}
xx3<-mapply(rvps.prob,x1,x2)
#system.time=0.59

mm1<-round(runif(200000,min=1,max=5),0) #random values [1;2;3;4;5]
mm2<-runif(200000,min=0,max=1) #random num (0,1]  

library(dplyr)
system.time({ #rvps in stress #mm4 - rvps old
mm3<-case_when(
  mm1==1 ~ 0,
  mm1==2 & mm2>0 & mm2<= 0.9 ~ 1,
  mm1==2 & mm2>0.9 & mm2<= 0.99 ~ 10,
  mm1==2 & mm2>0.99 & mm2<= 1 ~ 20,
  mm1==3 & mm2>0.0 & mm2<= 0.6 ~ 21,
  mm1==3 & mm2>0.6 & mm2<= 0.65 ~ 30,
  mm1==3 & mm2>0.65 & mm2<= 1 ~ 50,
  mm1==4 & mm2>0 & mm2<= 0.99 ~ 51,  
  mm1==4 & mm2>0.99 & mm2<= 1 ~ 60,
  mm1==5 ~ 100)
})#system.time=0.08