Re: [R-sig-eco] Recommended R package for analyzing community data set? - nested design, stratified random sampling, covariates

2012-01-17 Thread Dave Roberts

Dear Laura,

   David is certainly correct that vegan would provide a wealth of 
tools for the analysis of your data.  More generally, if you go to CRAN 
and browse the environmetrics  Task View you will see an review of 
many packages suitable for specific analyses you may be interested in.


Dave Roberts

On 01/15/2012 12:10 PM, Laura S wrote:

Dear all:

May you recommend an R package for analyzing this data set? I would greatly 
appreciate any thoughts you can provide.


I. Study goals

This study examines soil crust (lichens and bryophytes) recovery and succession 
in fields that underwent different levels of disturbance.


II. Variables
Response variables of interest: soil crust cover (categorical scale - described 
below), species richness, species composition
Explanatory variable of interest: disturbance regime (categorical variable)
Environmental variables measured (covariates - mix of categorical and numerical 
variables): cover of mineral soil, litter, vascular plant bases, stones, or 
rocks,
slope, aspect

III. Study sampling and design
Eight research areas (BR, CB, CC, JL, PC, PL, SL, TR)
Within each research area subplots were assigned six disturbance treatments 
(NC, NS, OC, OS, SC, SS) based on disturbance history
A single transect was placed randomly in the center of each subplot and sampled 
in twenty 20 x 20 cm plots at 1 m intervals along the transect
47 of 48 possible treatment subplots were sampled (n=6 for 7 sites, n=5 for 1 
site)


Sampling cover scale:

Scale valueRepresentative % cover

1= 1
21-4
34-10
410-25
525-50
650-75
775-95
895-100


There were three different sampling times (spread over two years), but time of 
sampling was not considered as a confounding factor given the way sampling was 
conducted with the particular communities studied (soil crust communities).

Total species positively identified: 33 taxa (species and species groups), 15 
of these were in four or more
of 47 subplots (n=6 x 7, n=5 x 1)
Unidentified collected taxa: less than 0.5%
Approximate taxa pool (species observed in entire areas, but not necessarily in 
sample plots): 26 lichen + 21 bryophytes
= 47 taxa

Thank you for your time and consideration,
Laura
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[R-sig-eco] Recommended R package for analyzing community data set? - nested design, stratified random sampling, covariates

2012-01-15 Thread Laura S
Dear all:

May you recommend an R package for analyzing this data set? I would greatly 
appreciate any thoughts you can provide.


I. Study goals

This study examines soil crust (lichens and bryophytes) recovery and succession 
in fields that underwent different levels of disturbance.


II. Variables
Response variables of interest: soil crust cover (categorical scale - described 
below), species richness, species composition
Explanatory variable of interest: disturbance regime (categorical variable)
Environmental variables measured (covariates - mix of categorical and numerical 
variables): cover of mineral soil, litter, vascular plant bases, stones, or 
rocks,
slope, aspect

III. Study sampling and design
Eight research areas (BR, CB, CC, JL, PC, PL, SL, TR)
Within each research area subplots were assigned six disturbance treatments 
(NC, NS, OC, OS, SC, SS) based on disturbance history 
A single transect was placed randomly in the center of each subplot and sampled 
in twenty 20 x 20 cm plots at 1 m intervals along the transect 
47 of 48 possible treatment subplots were sampled (n=6 for 7 sites, n=5 for 1 
site)


Sampling cover scale: 

Scale value    Representative % cover 

1    = 1
2    1-4
3    4-10
4                    10-25
5    25-50
6    50-75
7    75-95
8    95-100


There were three different sampling times (spread over two years), but time of 
sampling was not considered as a confounding factor given the way sampling was 
conducted with the particular communities studied (soil crust communities).

Total species positively identified: 33 taxa (species and species groups), 15 
of these were in four or more
of 47 subplots (n=6 x 7, n=5 x 1)
Unidentified collected taxa: less than 0.5%
Approximate taxa pool (species observed in entire areas, but not necessarily in 
sample plots): 26 lichen + 21 bryophytes
= 47 taxa

Thank you for your time and consideration,
Laura
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Re: [R-sig-eco] Recommended R package for analyzing community data set? - nested design, stratified random sampling, covariates

2012-01-15 Thread David Valentim Dias
Default packages of any installation of R can perform many types of
regression (IMO regression can show you something). Your goal seems to wide
for me, maybe you can provide more information like hypotheses?

Any google query using community and R will show *vegan* (popular package
for community analysis).
ML is manly for discussion try to search for another resource first them
here.

Good luck

2012/1/15 Laura S les_e...@yahoo.com

 Dear all:

 May you recommend an R package for analyzing this data set? I would
 greatly appreciate any thoughts you can provide.


 I. Study goals

 This study examines soil crust (lichens and bryophytes) recovery and
 succession in fields that underwent different levels of disturbance.


 II. Variables
 Response variables of interest: soil crust cover (categorical scale -
 described below), species richness, species composition
 Explanatory variable of interest: disturbance regime (categorical variable)
 Environmental variables measured (covariates - mix of categorical and
 numerical variables): cover of mineral soil, litter, vascular plant bases,
 stones, or rocks,
 slope, aspect

 III. Study sampling and design
 Eight research areas (BR, CB, CC, JL, PC, PL, SL, TR)
 Within each research area subplots were assigned six disturbance
 treatments (NC, NS, OC, OS, SC, SS) based on disturbance history
 A single transect was placed randomly in the center of each subplot and
 sampled in twenty 20 x 20 cm plots at 1 m intervals along the transect
 47 of 48 possible treatment subplots were sampled (n=6 for 7 sites, n=5
 for 1 site)


 Sampling cover scale:

 Scale valueRepresentative % cover

 1= 1
 21-4
 34-10
 410-25
 525-50
 650-75
 775-95
 895-100


 There were three different sampling times (spread over two years), but
 time of sampling was not considered as a confounding factor given the way
 sampling was conducted with the particular communities studied (soil crust
 communities).

 Total species positively identified: 33 taxa (species and species groups),
 15 of these were in four or more
 of 47 subplots (n=6 x 7, n=5 x 1)
 Unidentified collected taxa: less than 0.5%
 Approximate taxa pool (species observed in entire areas, but not
 necessarily in sample plots): 26 lichen + 21 bryophytes
 = 47 taxa

 Thank you for your time and consideration,
 Laura
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