Dear All,
 
#I have the following code
 
Dose<-1000
Tinf <-0.5
INTERVAL <-8
TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL)))
TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL)))
TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL)))
TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL)))
TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL)))
TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL)))
TIME2 <-matrix(c((0*INTERVAL):(7*INTERVAL)))
TIME1 <-matrix(c((0*INTERVAL):(8*INTERVAL)))
CDURINF1 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME1))
CAFTINF1 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME1)))
CONC1 <-ifelse(TIME1<=Tinf,CDURINF1,CAFTINF1)
CDURINF2 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME2))
CAFTINF2 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME2)))
CONC2 <-ifelse(TIME2<=Tinf,CDURINF2,CAFTINF2)
CDURINF3 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME3))
CAFTINF3 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME3)))
CONC3 <-ifelse(TIME3<=Tinf,CDURINF3,CAFTINF3)
CDURINF4 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME4))
CAFTINF4 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME4)))
CONC4 <-ifelse(TIME4<=Tinf,CDURINF4,CAFTINF4)
CDURINF5 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME5))
CAFTINF5 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME5)))
CONC5 <-ifelse(TIME5<=Tinf,CDURINF5,CAFTINF5)
CDURINF6 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME6))
CAFTINF6 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME6)))
CONC6 <-ifelse(TIME6<=Tinf,CDURINF6,CAFTINF6)
CDURINF7 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME7))
CAFTINF7 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME7)))
CONC7 <-ifelse(TIME7<=Tinf,CDURINF7,CAFTINF7)
CDURINF8 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME7))
CAFTINF8 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*Tinf))*(exp(-0.088*(TIME8)))
CONC8 <-ifelse(TIME8<=Tinf,CDURINF8,CAFTINF8)
CONCF <-matrix(c(CONC1+CONC2+CONC3+CONC4+CONC5+CONC6+CONC7+CONC8))
plot(CONCF,type="l")
 
I am trying to plot CONCF in a specific way. Let me try to explain: I would like to plot it so that the x axis goes from 0 to 8*INTERVAL (here the INTERVAL represents time in hours), and then each "segments" of the matrix  would  be added to the sum of the previous ones at a specific moment in time. Assuming a much shorter example this is what it should be like where according to the same equations above each value of CONCi was calculated at 1 h intervals:
INTERVAL <=3
time points here where the values are calculated is 0:(3*INTERVAL) for CONC1, 0:(2*INTERVAL) for CONC2, and 0:(1*INTERVAL) for CONC3, all calculated at 1 hour intervals
 
and lets assume calculated values are:
 
CONC1 <-c(0,1,2,3,4,5,6,7,8,9)
CONC2 <-c( 11,12,13,14,15,16,17)
CONC3 <-(21,22,23,24)
.
.
.
 
so I would like to get CONCF that would have the following values:
CONCF <-c(0,1,2,3+11,4+12,5+13,6+14,7+15,8+16,9+17,  6+14+21,7+15+22,8+16+23,9+17+23)
please note that CONC2 was started to be added to CONC1 at 1*INTERVAL value estimated for CONC1, ie CONC1 has the value of 3 at hour 3, and I need to add the value of CONC2 at hour zero to it, and so on...
hope I made it clear enough and thanks for the help,
 
Andras
	[[alternative HTML version deleted]]

