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]]
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