I am trying to calculate change in habitat cover from over time, starting with T0 and based on disturbance occurrence (Disturbance_freq) and recovery (Recovery_rate) in R. I need to loop this calculations for each Region based on Total_Disturbance (which is different for each region).
My Data is setup as such:
Region  Distur_rate Tot_dist  Dist_freq   Impact    Recovery_Rate   T0          T1
0       0.29        29        3.45        20        0.47            0.59        ?
1       0.17        17        5.88        20        0.47            0.59        ?
2       0.4         40        2.5         20        0.47            0.59        ?
I am trying to calculate:
T1 = (((T0 + Recovery_Rate x Dist_freq) - (20 x (T0 + Recovery_Rate x Dist_freq)/100)) 
T2 = (((T1 + Recovery_Rate x Dist_freq) - (20 x (T1 + Recovery_Rate x Dist_freq)/100))
etc...
To do so I coded the following but there must be a more efficient way to do this:
Data <-cbind(Data, (Data$T0 + Data$Recovery_rate * Data$Disturbance_freq)- Data$Impact * 
                     (Data$T0+Data$Recovery_rate * Data$Disturbance_freq)/100)
Data <-cbind(Data, (Data$T1 + Data$Recovery_rate * Data$Disturbance_freq)-Data$Impact * 
                    (Data$T1+Data$Recovery_rate * Data$Disturbance_freq)/100)
 
     
    