Displaying 4 results from an estimated 4 matches for "seminatural".
2006 May 18
4
Nested design
...ith a hierarchically nested design. In
particular,
I have one fixed factor ("Land Use Classes") with three levels and a random
factor ("quadrat") nested within Land Use Classes with different levels per
classes (class artificial = 1 quadrat; class crops = 67 quadrats; and class
seminatural = 30 quadrats).
I have four replicates per each quadrats (response variable = species
richness per plot)
Here some question about:
1) could I analize these data using the class "artificial" (i.e. I have only
1 level)?
2) using R I'd like perfor a glm analysis considering my...
2006 Jun 04
1
How to use lmer function and multicomp package?
...a hierarchically nested design.
In particular,
>I have one fixed factor ("Land Use Classes") with three levels and a
random factor ("quadrat") nested within Land Use Classes with different
levels per classes (class artificial = 1 quadrat; class crops = 67
quadrats; and class seminatural = 30 quadrats).
>I have four replicates per each quadrats (response variable = species
richness per plot)
>Here some question about:
>1) could I analize these data using the class "artificial" (i.e. I have
only 1 level)?
>2) using R I'd like perfor a glm analysis conside...
2006 May 20
0
GLM with nested design
...with a hierarchically nested design. In
particular,
I have one fixed factor ("Land Use Classes") with three levels and a
random factor ("quadrat") nested within Land Use Classes with different
levels per classes (class artificial = 1 quadrat; class crops = 67
quadrats; and class seminatural = 30 quadrats).
I have four replicates per each quadrats (response variable = species
richness per plot)
Here some question about:
1) could I analize these data using the class "artificial" (i.e. I have
only 1 level)?
2) using R I'd like perfor a glm analysis considering my response...
2006 May 25
0
Nested design and GLM: ....continue
...a hierarchically nested design.
In particular,
>I have one fixed factor ("Land Use Classes") with three levels and a
random factor ("quadrat") nested within Land Use Classes with different
levels per classes (class artificial = 1 quadrat; class crops = 67
quadrats; and class seminatural = 30 quadrats).
>I have four replicates per each quadrats (response variable = species
richness per plot)
>Here some question about:
>1) could I analize these data using the class "artificial" (i.e. I have
only 1 level)?
>2) using R I'd like perfor a glm analysis conside...