I have three columns of data, Xc, Trt and fish.  This was a repeated
measures design with 6 measurements taken from each of 5 fish.  Xc is the
actual measurement, Trt is the treatment, and fish is the fish number.  Data
can be seen below (hopefully it is in the column format).  I would like to
look for differences between treatments in a repeated measures format.  I
used the following code

 

library(nlme)

 

summary(lme(Xc~trt,data=R.exp,random=~1|fish))

 

This seems to work and I would like to know if

 

1)    this is the right function for my question, if so, then

2)    in the summary, value is the first column, but what value is this.  I
have searched in vain and cannot find the answer.  Any help or links to
examples would be appreciated greatly.

Fixed effects: Xc ~ trt 

             Value Std.Error DF   t-value p-value

(Intercept) 103.62  2.619657 20  39.55480       0

trtB        -33.28  1.991197 20 -16.71356       0

trtC        -39.38  1.991197 20 -19.77705       0

trtD        -32.60  1.991197 20 -16.37206       0

trtE        -47.32  1.991197 20 -23.76460       0

trtF        -39.58  1.991197 20 -19.87749       0

 


Xc

Trt

fish


109.1

a

1


73

b

1


68.4

c

1


74.8

d

1


60.3

e

1


57

f

1


106

a

2


72.3

b

2


67

c

2


70.6

d

2


58.2

e

2


66.2

f

2


102

a

3


67.1

b

3


61

c

3


68.4

d

3


50.2

e

3


64.7

f

3


105

a

4


76.6

b

4


68.8

c

4


77.7

d

4


61.8

e

4


75.7

f

4


96

a

5


62.7

b

5


56

c

5


63.6

d

5


51

e

5


56.6

f

5

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Marlin Keith Cox Ph.D.

At-Sea Processor Professorship of Fisheries Biology
Science Chair

Sheldon Jackson College

Sitka, Alaska 99835

907.747.5296

http://www.sheldonjackson.edu

 


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