search for: predc

...I'm trying to figure out how to use the reshape package to reshape data from a "wide" format to a "long" format. I have data like this pid <- c(1:10) predA <- c(-1,-2,-1,-2,-1,-2,-1,-2,-1,-2) predB.1 <- c(0,0,0,1,1,0,0,0,1,1) predB.2 <- c(2,2,3,3,3,2,2,3,3,3) predC.1 <- c(10,10,10,10,10,11,11,11,11,11) predC.2 <- c(12,12,13,13,13,12,12,13,13,13) out.1 <- c(100:109) out.2 <- c(200:209) Data <- data.frame(pid, predA, predB.1, predB.2, predC.1, predC.2, out. 1, out.2) and I want to make it look like this: head(L.Data <- reshape(Data, varying...

...ePts, Observed = Obs, Individuals = colID) > > fmA <- lm(Observed ~ Time, mydata) > fmB <- lm(Observed ~ poly(Time, 2), mydata) > fmC <- lm(Observed ~ poly(Time, 2) * Individuals, mydata) > > mydata$PredA <- predict(fmA) > mydata$PredB <- predict(fmB) > mydata$PredC <- predict(fmC) > > xyplot(Observed + PredA + PredB + PredC ~ Time | Individuals, > data = mydata, > type = c("p", "l", "l", "l"), > distribute.type = TRUE) > > -Deepayan > > > > --------------------------...