Dear all,

This relatively routine analysis has left me frustrated and in a rut.  I
have a dataset (data1), which I subset in order to remove rows where
HabitatDensity="Med".  This dataset looks correct when I call it up,
however, when I create a table out of the new subset (data2), my table
continues to show the "Med" information as 0.  

This is a problem because I need a 2x2xK structure for my analysis and
the fourfoldplot routine, and therefore wish to eliminate data where
HabitatDensity="Med".  

Simple question (and probably simple answer):  How can I delete the
HabitatDensity=="Med" from the dataset or table, so that I be left with
a 2x2xK table.

Thanks for any assistance.

Kind regards,

Scott

 

> data1

                                                        
        Habitat

HabitatDensity

Sex

                                
        Grass

High

Male

                                
        Grass

High

Female

                                
        Grass

Med

Male

                                
        Grass

Med

Female

                                
        Grass

Low

Male

                                
        Grass

Low

Female

                                
        Rock

High

Male

                                
        Rock

High

Female

                                
        Rock

Med

Male

                                
        Rock

Med

Female

                                
        Rock

Low

Male

                                
        Rock

Low

Female

                                
        Water

High

Male

                                
        Water

High

Male

                                
        Water

High

Female

                                
        Water

Low

Female

                                
        ...

                                                
                                                                
> data2 <- subset(data1, HabitatDensity=="Low"|HabitatDensity=="High",
drop=TRUE)

>data2

                                                        
        Habitat

HabitatDensity

Sex

                                
        Grass

High

Male

                                
        Grass

High

Female

                                
        Grass

Low

Male

                                
        Grass

Low

Female

                                
        Rock

High

Male

                                
        Rock

High

Female

                                
        Rock

Low

Male

                                
        Rock

Low

Female

                                
        Water

High

Male

                                
        Water

High

Male

                                
        Water

High

Female

                                
        Water

Low

Female

                                
        ...

                                                
                                                                
>table1<-table(data2$Sex, data2$Habitat, data2$HabitatDensity)

                
>table1 

                                                        
        ,,= Grass

                                                
                High

Low

Med

                        
        Female

2

2

0

                        
        Male

3

2

0

                        
                                                                
                                                                
        ,,= Rock

                                                
                High

Low

Med

                        
        Female

4

1

0

                        
        Male

2

1

0

                        
                                                                
                                                                
        ,,= Water

                                                
                High

Low

Med

                        
        Female

5

2

0

                        
        Male

3

1

0

                        
                                                                

 


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