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...for Group=="Control" and the same plate.id will contain 384 readings for Group=='ovca' to give a total of 768 values for P1 and so on for other plate ID's. I have to take the subtract the values of rlt1 colum between the two groups based on Plate ID. currently I am using > newdat2$diff<-(newdat2[1:5,5]-newdat2[6:10,5])/newdat2[1:5,5]*100 > newdat2 plate.id well.id Group HYB rlt1 diff 1 P1 A1 Control SKOV3hyb 0.190 3.157895 2 P1 A2 Control SKOV3hyb 0.210 -9.047619 3 P1 A3 Control SKOV3hyb 0.205 -4.390244 4...

...itxv,newdata) #bug!!! gave the same values as gxv # This bug can be avoid by setting new values into old variables # then, we will get the new predicted values # for example x1=x1new x2=x2new gxvnew2=predict(fitxv,where="data") # predict joint probability function of fyxv for new data newdat2=data.frame(ynew,x1new,x2new) fyxvnew=predict(fityxv,newdat2) #bug! same as 2D density # but setting new values into old variables DOES NOT # work for solving this kind of problem for 3D density # for example x1=x1bk x2=x2bk fyxvnew2=predict(fityxv,where="data")

...v > > # This bug can be avoid by setting new values into old variables > # then, we will get the new predicted values > # for example > x1=x1new > x2=x2new > gxvnew2=predict(fitxv,where="data") > > # predict joint probability function of fyxv for new data > newdat2=data.frame(ynew,x1new,x2new) > fyxvnew=predict(fityxv,newdat2) #bug! same as 2D density > > # but setting new values into old variables DOES NOT > # work for solving this kind of problem for 3D density > # for example > x1=x1bk > x2=x2bk > fyxvnew2=predict(fityxv,where=&quo...