[R] Best method for comparing rectangles sections of beach
Jhope
jeanwaijang at gmail.com
Mon Oct 8 12:02:17 CEST 2012
Hi R-listers,
I am trying to compare sections of the beach separated from the HTL to the
Veg (east to west), separated into indices (-5 to 30m), HTLIndex. Cross
parallel (north to south) are major beach sections (Rayos 1, 2, 3, 4 and
MNB). I am thinking to do an ANOVA for each independent rectangle of beach
(not exactly but will be treated as). The HTL from (0-5m) in Rayo 1 is one
rectangle of beach; (0-5m) in Rayo 2 is another... etc.
I was considering an 2-way anova with interactions - see below. But this
does not identify each section of the beach by 5 meters and Rayos.
1) What is the best way to compare these beach rectangle sections?
2) Each Rayo is a little bit different in size but for management purposes,
it is identified by these sections (leave alone or use), so maybe ANOVA is
appropriate?
3) Script suggestions greatly appreciated.
Please advise, Jean
head() included below
----------------
summary(aov(HSuccess ~ HTLIndex*Aeventexhumed, data=data.to.analyze))
Df Sum Sq Mean Sq F value Pr(>F)
HTLIndex 6 0.691 0.11524 3.023 0.00937 **
Aeventexhumed 2 0.106 0.05308 1.393 0.25329
HTLIndex:Aeventexhumed 11 0.376 0.03418 0.897 0.54645
Residuals 98 3.736 0.03812
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
5 observations deleted due to missingness
Warning message:
In model.matrix.default(mt, mf, contrasts) :
variable 'Aeventexhumed' converted to a factor
---------
> head(data.to.analyze)
QuadratEvent ExDate Sector Quadrat Aeventexhumed ST0 ST1 ST2 ST3
ST4 Shells
1 8.1A Nov. 26, 2010 14 8 A 6 0 1 98
1 72
2 10.1A Nov. 26, 2010 13 10 A 4 0 0 109
1 74
3 14.1A Nov. 18, 2010 20 14 A 6 0 2 26
11 106
4 19.1A Nov. 22, 2010 79 19 A 0 0 0 0
0 102
5 23.1A Nov. 20, 2010 34 23 A 135 23 1 6
0 125
6 24.1A Nov. 28, 2010 34 24 A 660 0 2 0
0 4
Hatchlings MaxHatch DeadHatch Oldeggs TotalEggs QuadratID Sector
Aeventexhumed Veg
1 3 72 2 0 178 8.1 14
A 9.75
2 4 74 0 21 188 10.1 13
A 16.34
3 1 106 1 165 151 14.1 20
A 3.15
4 1 102 0 0 102 19.1 79
A 5.70
5 48 125 0 0 290 23.1 34
A 12.20
6 0 4 0 36 666 24.1 34
A 4.82
Berm HTL Estuary Rayos NotHatched DevelopIndex VegIndex HTLIndex
1 NA 4.66 NA Rayos.1 106 3.865169 (6-10) (0-5)
2 NA -2.47 NA Rayos.1 114 4.920213 (16-20) (-5-(-1))
3 NA 16.00 NA Rayos.2 45 5.622517 (0-5) (16-20)
4 NA NA 11.8 Rayos.2 0 1.000000 (6-10) <NA>
5 NA 2.35 NA Rayos.3 165 3.406897 (11-15) (0-5)
6 NA 22.85 NA Rayos.3 662 5.981982 (0-5) (21-25)
--
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