Running the Loop

Hi Katherine,Not sure if this helps.? I was able to the result after making up some additional conditions into your function.

fun1 <- function(x){
??? lst1 <- lapply(seq(n-1),function(i){
??? ???? with(x,if(maturity_period >D[i] & maturity_period <D[i+1]){
??? ?? ??? ?data.frame(N1=paste(curve,T[i],sep="_"),N2=paste(curve,T[i+1],sep="_"),PV1=mtm*root,PV2=(mtm)*(1-root))
??? ?? ??? ??? ??? ??? ??? ??? ?}
??? ?? ??? else if(maturity_period < D[i]) {
??? ?? ??? ? data.frame(N1=paste(curve,T[i],sep="_"),N2=paste(curve,T[i],sep="_"),PV1=mtm,PV2=0)
??? ?? ??? ??? ??? ??? ?}
??? ?? ?? else if(maturity_period >D[i+1]) {
??? ?? ??? ?data.frame(N1=paste(curve,T[i],sep="_"),N2=paste(curve,T[i],sep="_"),PV1=0,PV2=mtm)
??? ?? ??? ??? ??? ??? ?}
??? ?? ??????????? )
??? ?? ??? ??? ?}
??? ?? ??? ??? ?)
??? dat2 <- cbind(id=x$id,do.call(rbind,lst1))
??? ??????? indx <- with(dat2,PV1!=0 & PV2!=0)? 
??? dat2New<- if(!any(indx)){
??? ? dat2[1,]
??? ??? }
??????? else dat2[indx,]
??? colnames(dat2New)[-1] <-paste0(paste0("Risk_factor",rep(1:2,2)),rep(c("","_mtm"),each=2))
??????? dat2New
?????? }?? ??? ??? ? 

?ddply(dat,.(id),fun1)
#? id Risk_factor1 Risk_factor2 Risk_factor1_mtm Risk_factor2_mtm
#1? 1?????? USD_1m?????? USD_1m???????????? 1000??????????????? 0
#2? 2?????? USD_3m?????? USD_6m???????????? 2000???????????? 8000
#3? 3????? USD_12m????? USD_5yr??????????? 74000??????????? 26000

A.K.

Dear R forum,

I have following data.frames

dat = data.frame(id = c(1:3), root = c(0.10, 0.20, 0.74), maturity_period = c(20, 155, 428), mtm = c(1000, 10000, 100000), curve = c("USD", "USD", "USD"))

dat

? id root maturity_period ? mtm curve
1 ?1 0.10 ? ? ? ? ? ? ?20 1e+03 ? USD
2 ?2 0.20 ? ? ? ? ? ? 155 1e+04 ? USD
3 ?3 0.74 ? ? ? ? ? ? 428 1e+05 ? USD

standard_tenors = data.frame(T = c("1m", "3m", "6m", "12m", "5yr"), D = c(30, 91, 182, 365, 1825))

standard_tenors

? ? T ? ?D
1 ?1m ? 30
2 ?3m ? 91
3 ?6m ?182
4 12m ?365
5 5yr 1825

# .................................................................................................................

library(plyr)


T = standard_tenors$T

D = standard_tenors$D
n = length(standard_tenors$T)


mtm_split_function = function(maturity_period, curve, root, mtm)

{

for(i in 1:(n-1))
{
if (maturity_period < D[i])


{
N1 = paste(curve, T[i], sep ="_")
N2 = paste(curve, T[i], sep ="_")
PV1 = mtm
PV2 = 0
}else

if (maturity_period > D[i] & maturity_period < D[i+1])

{
N1 = paste(curve, T[i], sep ="_")
N2 = paste(curve, T[1+1], sep ="_")
PV1 = (mtm)*root
PV2 = (mtm)*(1-root)
}else

if (maturity_period > D[i+1])
{
N1 = paste(curve, T[i], sep ="_")
N2 = paste(curve, T[i], sep ="_")
PV1 = 0
PV2 = mtm
}

}


return(data.frame(Risk_factor1 = N1, Risk_factor2 = N2, Risk_factor1_mtm = PV1,
Risk_factor2_mtm = PV2))
}

# .....................................................................................................................

splitted_mtm <- ddply(.data = dat, .variables = "id",
? ? ? ? ? ? ? ? .fun=function(x) mtm_split_function(maturity_period = x$maturity_period, curve = x$curve, root = x$root, mtm = x$mtm))

# OUTPUT I am getting

? id Risk_factor1 Risk_factor2 Risk_factor1_mtm Risk_factor2_mtm
1 ?1 ? ? ?USD_12m ? ? ?USD_12m ? ? ? ? ? ? 1000 ? ? ? ? ? ? ? ?0
2 ?2 ? ? ?USD_12m ? ? ?USD_12m ? ? ? ? ? ?10000 ? ? ? ? ? ? ? ?0
3 ?3 ? ? ?USD_12m ? ? ? USD_3m ? ? ? ? ? ?74000 ? ? ? ? ? ?26000




# My PROBLEM

However, My OUTPUT should be ?

? id Risk_factor1 Risk_factor2 Risk_factor1_mtm Risk_factor2_mtm
1 ?1 ? ? ?USD_1m ? ? ? USD_1m ? ? ? ? ? ? 1000 ? ? ? ? ? ? ? ?0
2 ?2 ? ? ?USD_3m ? ? ? USD_6m ? ? ? ? ? ? 2000 ? ? ? ? ? ? 8000
3 ?3 ? ? ?USD_12m ? ? ?USD_5yr ? ? ? ? ? 74000 ? ? ? ? ? ?26000

Kindly guide

With warm regards

Katherine
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