Problem with fitting model


I am trying to fit a model to compare two categories of data. There are 3 graphs of one category and 4 graphs that represents the next category. The two categories will be fitted to two separate to unable a camparison between categories. This should create two smooth graphs. Instead the model creates this.

Note the weird plateaus that is plotted for the model. I don´t know what could be wrong with the code or data file..

Here is the code I´m using:

BDmod1<-lme(OmCProcent~ deepthcat2*Category, random =~1|SampleID, correlation= corCAR1( form=~ meandepth|SampleID), data=jacobdata)


ggplot(jacobdata)+geom_point(aes(x=meandepth,y=BDfitted, shape = Category))+
geom_line(aes(x=meandepth,y=BDfitted, linetype=Category))+ coord_flip()+ guides(linetype=FALSE) +
labs(x = "Depth", shape = "Natural or drained", y="Fitted BD", title="Model prediction")

I would be very thankful if somone could shed some light on this!


This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.