Season's Greetings.
I am using 'predict' in a loop, but it is behaving unexpectedly, so I
am more explicit and use 'predict.loess', and R says it can't find it.
Even if I explicitly load the stats library, which is already in the
search path.
Any ideas?
This is odd, because if I use RB& LB from a different dataset, it
works fine...
Stuart
*********************************************************************
*************************
Original problem:
j<-0 # start an iteration counter
while(j<30) # (max 30 iterations)
+
+ {
+
+ lenRB<-length(RB) # number of rows in original RB
+ lenLagRB<-(j+1):lenRB # row numbers for 'lagged' RB
+ lenLagRB0<-1:(lenRB-j) # row numbers for 'unlagged' RB
+ RBj<-RB[lenLagRB] # create a 'lagged' RB of this length
+ LBj<-LB[lenLagRB] # create a 'lagged' LB of this length
+ RB0<-RB[lenLagRB0] # create an 'unlagged', shortened RB of this length
+ LB0<-LB[lenLagRB0] # create an 'unlagged' LB of this length
+
+ cor.j<-cor(RBj,LB0) # check RB lagged& LB have low correlation
+ if(abs(cor.j)<0.01) # if so...
+
+ {
+
+ RELBj<-100*(RBj-LB0)/(RBj+LB0) # ...generate index for lagged pair
+ RELB0<-100*(RB0-LB0)/(RB0+LB0) # generate index for unlagged pair
+
+ Lag.lo<-loess(RBj~RELBj,span=sp, family=("symmetric"), degree=2) #
close approx of lowess!
+ Real.lo<-loess(RB0~RELB0,span=sp, family=("symmetric"), degree=2)
+ Lag.pr<-predict(Lag.lo, data.frame(x=seq (-80,80,1))) # predict for
uniform index scale
+ Real.pr<-predict(Real.lo,data.frame(x=seq (-80,80,1)))
+
+ Diff.pr<-Real.pr-Lag.pr # difference plot
+ lines (Diff.pr~seq(-80,80,1),pch=1,cex=0.25,col=1)
+
+ }
+
+ j<-j+1 # increment counter and repeat
+ }
Error in model.frame.default(formula = Diff.pr ~ seq(-80, 80, 1),
na.action = NULL) :
variable lengths differ (found for 'seq(-80, 80, 1)')
In addition: Warning messages:
1: 'newdata' had 161 rows but variable(s) found have 250 rows
2: 'newdata' had 161 rows but variable(s) found have 250 rows
****************************
Make it more explicit I want to use predict.loess:
j<-0 # start an iteration counter
while(j<30) # (max 30 iterations)
+
+ {
+
+ lenRB<-length(RB) # number of rows in original RB
+ lenLagRB<-(j+1):lenRB # row numbers for 'lagged' RB
+ lenLagRB0<-1:(lenRB-j) # row numbers for 'unlagged' RB
+ RBj<-RB[lenLagRB] # create a 'lagged' RB of this length
+ LBj<-LB[lenLagRB] # create a 'lagged' LB of this length
+ RB0<-RB[lenLagRB0] # create an 'unlagged', shortened RB of this length
+ LB0<-LB[lenLagRB0] # create an 'unlagged' LB of this length
+
+ cor.j<-cor(RBj,LB0) # check RB lagged& LB have low correlation
+ if(abs(cor.j)<0.01) # if so...
+
+ {
+
+ RELBj<-100*(RBj-LB0)/(RBj+LB0) # ...generate index for lagged pair
+ RELB0<-100*(RB0-LB0)/(RB0+LB0) # generate index for unlagged pair
+
+ Lag.lo<-loess(RBj~RELBj,span=sp, family=("symmetric"), degree=2) #
close approx of lowess!
+ Real.lo<-loess(RB0~RELB0,span=sp, family=("symmetric"), degree=2)
+ Lag.pr<-predict.loess(Lag.lo, data.frame(x=seq (-80,80,1))) #
predict for uniform index scale
+ Real.pr<-predict.loess(Real.lo,data.frame(x=seq (-80,80,1)))
+
+ Diff.pr<-Real.pr-Lag.pr # difference plot
+ lines (Diff.pr~seq(-80,80,1),pch=1,cex=0.25,col=1)
+
+ }
+
+ j<-j+1 # increment counter and repeat
+ }
Error: could not find function "predict.loess"
****************
search()
[1] ".GlobalEnv" "nshd"
[3] "package:foreign" "package:stats"
[5] "package:graphics" "package:grDevices"
[7] "package:utils" "package:datasets"
[9] "package:methods" "Autoloads"
[11] "package:base"
?predict.loess
... Confirms that predict.loess is in the path, and can be accessed.
Only not within the loop?
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