interpolation - How do I add missing rows AND interpolated value to a data frame in R? -


i have table of data this:

dat <- data.frame(    age  = c(0,10,20,40,70,100),    surv = c(1.0,0.9,0.8,0.6,0.3,0.0) )

i add row every age missing (30,50,60,80,90) , add linear interpolation surv new row. new rows (30,0.7) (80, 0.2) etc.

this example. working larger dataset goes 0 5,000,000 10 (with lots of missing rows) need automation.

thanks help!

make master dataset use approx linearly interpolate:

newdat <- merge(data.frame(age=seq(0,100,10)),dat,all=true) newdat$surv[is.na(newdat$surv)] <-      with(newdat, approx(age, surv, xout=age)$y)[is.na(newdat$surv)]  newdat  #   age surv #1    0  1.0 #2   10  0.9 #3   20  0.8 #4   30  0.7 #5   40  0.6 #6   50  0.5 #7   60  0.4 #8   70  0.3 #9   80  0.2 #10  90  0.1 #11 100  0.0

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