Analisis exploratorio
Las variables siguientes estan todas correlacionadas significativamente con YEAR:
Temp_prom_primav_of con Temp_prom_ver_of Diaspiehielo
Diaspiehielo con diasnieveanual Temp_prom_primav_of Temp_prom_ver_of
diasnieveanual con Diaspiehielo vientovelmedia_of
vientovelmedia_of con diasnieveanual Temp_prom_primav_of Temp_prom_ver_of
Univariados significativos 0.05 despues de correccion Hommel:
Year 0.50, 0.75 diasnieveanual 0.50 0.75 diaspiehielo 0.75
Loading required package: pander
[1] "ID_fila" "Foto"
[3] "Nivel.Intermareal" "Mes"
[5] "Year" "Diversidad"
[7] "Riqueza" "Equitatividad"
[9] "Cob.T" "num_lapas"
[11] "SD_T" "Monostroma.hariotti"
[13] "Adenocystis.utricularis" "Ascoseira.mirabilis"
[15] "Desmarestia.menziesii" "Desmarestia.antarcticus"
[17] "Phaeurus.antarcticus" "Corallinaceae"
[19] "Gigartina.skottsbergii" "Iridaea.cordata"
[21] "Palmaria.decipiens" "Plocamium.cartilagineum"
[23] "Pyropya.endiviifolia" "Ulvophyceae.NI"
[25] "Diaspiehielo" "diasnieveanual"
[27] "Diasnievemensual" "Temp_promanio_of"
[29] "Temp_promAA_of" "Vientodirprom"
[31] "Temp_prommes_of" "Temp_maxmes_of"
[33] "Temp_minmes_of" "vientovelmedia_of"
[35] "vientodirecprom_of" "Temp_prom_primav_of"
[37] "Temp_prom_ver_of"
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2
Attaching package: 'Hmisc'
The following objects are masked from 'package:base':
format.pval, round.POSIXt, trunc.POSIXt, units
Year Diversidad Riqueza Equitatividad Cob.T num_lapas
Year 1.00 -0.20 -0.17 -0.12 -0.15 -0.38
Diversidad -0.20 1.00 0.63 0.83 -0.08 0.48
Riqueza -0.17 0.63 1.00 0.19 0.20 0.32
Equitatividad -0.12 0.83 0.19 1.00 -0.25 0.40
Cob.T -0.15 -0.08 0.20 -0.25 1.00 -0.18
num_lapas -0.38 0.48 0.32 0.40 -0.18 1.00
Diaspiehielo 0.40 0.23 0.13 0.20 -0.32 0.09
diasnieveanual -0.40 0.38 0.19 0.34 -0.47 0.63
Temp_promanio_of 0.40 -0.38 -0.19 -0.34 0.47 -0.63
vientovelmedia_of -0.80 0.28 0.16 0.24 -0.22 0.61
Temp_prom_primav_of -0.80 -0.05 0.02 -0.10 0.42 0.02
Temp_prom_ver_of -0.80 -0.05 0.02 -0.10 0.42 0.02
Diaspiehielo diasnieveanual Temp_promanio_of
Year 0.40 -0.40 0.40
Diversidad 0.23 0.38 -0.38
Riqueza 0.13 0.19 -0.19
Equitatividad 0.20 0.34 -0.34
Cob.T -0.32 -0.47 0.47
num_lapas 0.09 0.63 -0.63
Diaspiehielo 1.00 0.40 -0.40
diasnieveanual 0.40 1.00 -1.00
Temp_promanio_of -0.40 -1.00 1.00
vientovelmedia_of -0.20 0.80 -0.80
Temp_prom_primav_of -0.80 -0.20 0.20
Temp_prom_ver_of -0.80 -0.20 0.20
vientovelmedia_of Temp_prom_primav_of Temp_prom_ver_of
Year -0.80 -0.80 -0.80
Diversidad 0.28 -0.05 -0.05
Riqueza 0.16 0.02 0.02
Equitatividad 0.24 -0.10 -0.10
Cob.T -0.22 0.42 0.42
num_lapas 0.61 0.02 0.02
Diaspiehielo -0.20 -0.80 -0.80
diasnieveanual 0.80 -0.20 -0.20
Temp_promanio_of -0.80 0.20 0.20
vientovelmedia_of 1.00 0.40 0.40
Temp_prom_primav_of 0.40 1.00 1.00
Temp_prom_ver_of 0.40 1.00 1.00
n= 60
P
Year Diversidad Riqueza Equitatividad Cob.T
Year 0.1203 0.2036 0.3504 0.2479
Diversidad 0.1203 0.0000 0.0000 0.5408
Riqueza 0.2036 0.0000 0.1522 0.1259
Equitatividad 0.3504 0.0000 0.1522 0.0568
Cob.T 0.2479 0.5408 0.1259 0.0568
num_lapas 0.0031 0.0001 0.0129 0.0014 0.1582
Diaspiehielo 0.0015 0.0728 0.3241 0.1260 0.0126
diasnieveanual 0.0015 0.0029 0.1374 0.0086 0.0002
Temp_promanio_of 0.0015 0.0029 0.1374 0.0086 0.0002
vientovelmedia_of 0.0000 0.0293 0.2268 0.0675 0.0933
Temp_prom_primav_of 0.0000 0.6782 0.8641 0.4656 0.0008
Temp_prom_ver_of 0.0000 0.6782 0.8641 0.4656 0.0008
num_lapas Diaspiehielo diasnieveanual Temp_promanio_of
Year 0.0031 0.0015 0.0015 0.0015
Diversidad 0.0001 0.0728 0.0029 0.0029
Riqueza 0.0129 0.3241 0.1374 0.1374
Equitatividad 0.0014 0.1260 0.0086 0.0086
Cob.T 0.1582 0.0126 0.0002 0.0002
num_lapas 0.4845 0.0000 0.0000
Diaspiehielo 0.4845 0.0015 0.0015
diasnieveanual 0.0000 0.0015 0.0000
Temp_promanio_of 0.0000 0.0015 0.0000
vientovelmedia_of 0.0000 0.1255 0.0000 0.0000
Temp_prom_primav_of 0.8535 0.0000 0.1255 0.1255
Temp_prom_ver_of 0.8535 0.0000 0.1255 0.1255
vientovelmedia_of Temp_prom_primav_of Temp_prom_ver_of
Year 0.0000 0.0000 0.0000
Diversidad 0.0293 0.6782 0.6782
Riqueza 0.2268 0.8641 0.8641
Equitatividad 0.0675 0.4656 0.4656
Cob.T 0.0933 0.0008 0.0008
num_lapas 0.0000 0.8535 0.8535
Diaspiehielo 0.1255 0.0000 0.0000
diasnieveanual 0.0000 0.1255 0.1255
Temp_promanio_of 0.0000 0.1255 0.1255
vientovelmedia_of 0.0015 0.0015
Temp_prom_primav_of 0.0015 0.0000
Temp_prom_ver_of 0.0015 0.0000
Loading required package: quantreg
Loading required package: SparseM
Attaching package: 'SparseM'
The following object is masked from 'package:base':
backsolve
Attaching package: 'quantreg'
The following object is masked from 'package:Hmisc':
latex
The following object is masked from 'package:survival':
untangle.specials
Call: rq(formula = Cob.T ~ Year, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.35500 0.08916 3.98167 0.00020
Year2008 0.27750 0.15442 1.79706 0.07772
Year2009 -0.11000 0.10930 -1.00642 0.31854
Year2013 -0.16500 0.15790 -1.04493 0.30054
Call: rq(formula = Cob.T ~ Year, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.40000 0.05928 6.74727 0.00000
Year2008 0.54500 0.11456 4.75751 0.00001
Year2009 -0.06500 0.06804 -0.95531 0.34353
Year2013 0.09250 0.11156 0.82913 0.41055
Call: rq(formula = Cob.T ~ Year, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.62500 0.08438 7.40677 0.00000
Year2008 0.36500 0.08811 4.14270 0.00012
Year2009 -0.25500 0.12835 -1.98672 0.05185
Year2013 0.04500 0.12443 0.36166 0.71897
Call: rq(formula = Cob.T ~ Riqueza, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) -0.07000 0.13804 -0.50708 0.61402
Riqueza 0.11500 0.03713 3.09745 0.00301
Call: rq(formula = Cob.T ~ Riqueza, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.22750 0.20847 1.09131 0.27965
Riqueza 0.06500 0.05421 1.19899 0.23541
Call: rq(formula = Cob.T ~ Riqueza, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.82188 0.23253 3.53456 0.00081
Riqueza -0.03688 0.06168 -0.59782 0.55229
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ Equitatividad, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.30892 0.12623 2.44729 0.01744
Equitatividad 0.02651 0.23694 0.11187 0.91131
Call: rq(formula = Cob.T ~ Equitatividad, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.78042 0.17277 4.51723 0.00003
Equitatividad -0.45272 0.24544 -1.84450 0.07022
Call: rq(formula = Cob.T ~ Equitatividad, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.93429 0.09448 9.88897 0.00000
Equitatividad -0.44429 0.18551 -2.39502 0.01987
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ Temp_promanio_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.69303 0.20457 3.38779 0.00127
Temp_promanio_of 0.17105 0.08880 1.92630 0.05897
Call: rq(formula = Cob.T ~ Temp_promanio_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.82979 0.13632 6.08720 0.00000
Temp_promanio_of 0.16458 0.06056 2.71791 0.00865
Call: rq(formula = Cob.T ~ Temp_promanio_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.06714 0.04603 23.18134 0.00000
Temp_promanio_of 0.18927 0.03585 5.28017 0.00000
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ Temp_prom_primav_of, tau = c(0.25, 0.5,
0.75), data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.37724 0.04433 8.51012 0.00000
Temp_prom_primav_of 0.03644 0.01843 1.97696 0.05281
Call: rq(formula = Cob.T ~ Temp_prom_primav_of, tau = c(0.25, 0.5,
0.75), data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.54556 0.07012 7.78082 0.00000
Temp_prom_primav_of 0.05216 0.02720 1.91775 0.06007
Call: rq(formula = Cob.T ~ Temp_prom_primav_of, tau = c(0.25, 0.5,
0.75), data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.83417 0.09060 9.20705 0.00000
Temp_prom_primav_of 0.04702 0.02167 2.16982 0.03413
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ Temp_prom_ver_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.31985 0.04542 7.04278 0.00000
Temp_prom_ver_of 0.05871 0.02854 2.05689 0.04420
Call: rq(formula = Cob.T ~ Temp_prom_ver_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.49099 0.04932 9.95541 0.00000
Temp_prom_ver_of 0.10470 0.03597 2.91068 0.00511
Call: rq(formula = Cob.T ~ Temp_prom_ver_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.75961 0.06741 11.26921 0.00000
Temp_prom_ver_of 0.11236 0.04126 2.72347 0.00852
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ num_lapas, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.27167 0.06426 4.22742 0.00008
num_lapas 0.01083 0.01333 0.81287 0.41962
Call: rq(formula = Cob.T ~ num_lapas, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.49900 0.08813 5.66202 0.00000
num_lapas -0.00650 0.01974 -0.32924 0.74316
Call: rq(formula = Cob.T ~ num_lapas, tau = c(0.25, 0.5, 0.75), data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.78500 0.09141 8.58801 0.00000
num_lapas -0.02437 0.01722 -1.41580 0.16218
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ Diaspiehielo, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.86750 0.27050 3.20700 0.00218
Diaspiehielo -0.00583 0.00294 -1.98499 0.05188
Call: rq(formula = Cob.T ~ Diaspiehielo, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.28000 0.34158 3.74732 0.00041
Diaspiehielo -0.00908 0.00373 -2.43696 0.01790
Call: rq(formula = Cob.T ~ Diaspiehielo, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.41750 0.17770 7.97693 0.00000
Diaspiehielo -0.00771 0.00199 -3.87317 0.00028
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Call: rq(formula = Cob.T ~ vientovelmedia_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.06772 0.52510 0.12896 0.89784
vientovelmedia_of 0.01559 0.03222 0.48390 0.63028
Call: rq(formula = Cob.T ~ vientovelmedia_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.90169 0.33548 2.68771 0.00937
vientovelmedia_of -0.02968 0.02264 -1.31073 0.19512
Call: rq(formula = Cob.T ~ vientovelmedia_of, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.01151 0.49337 2.05019 0.04488
vientovelmedia_of -0.01911 0.03199 -0.59749 0.55251
Call: rq(formula = Cob.T ~ diasnieveanual, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.25
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.27708 0.40813 3.12912 0.00274
diasnieveanual -0.00542 0.00231 -2.34593 0.02242
Call: rq(formula = Cob.T ~ diasnieveanual, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.70268 0.29781 5.71730 0.00000
diasnieveanual -0.00683 0.00165 -4.13779 0.00011
Call: rq(formula = Cob.T ~ diasnieveanual, tau = c(0.25, 0.5, 0.75),
data = da)
tau: [1] 0.75
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 1.65095 0.13865 11.90737 0.00000
diasnieveanual -0.00570 0.00106 -5.38891 0.00000
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
Smoothing formula not specified. Using: y ~ x
---------------------------------------------------------------------------
Varname Value Std.Err tvalue Pval tau padj
-------- ---------------- -------- --------- -------- ------- ----- -------
**6** Year2008 0.545 0.1146 4.758 1e-05 0.5 0.00048
**10** Year2008 0.365 0.08811 4.143 0.00012 0.75 0.00374
**63** Temp_promanio_of 0.1893 0.03585 5.28 0 0.75 7e-05
**67** Diaspiehielo -0.00771 0.00199 -3.873 0.00028 0.75 0.00854
**49** diasnieveanual -0.00683 0.00165 -4.138 0.00011 0.5 0.00367
**69** diasnieveanual -0.0057 0.00106 -5.389 0 0.75 5e-05
---------------------------------------------------------------------------
Table: Significative Quantil regresion after Hommel correction
------------------------------------------------------------------------------
Varname Value Std.Err tvalue Pval tau padj
-------- ------------------- -------- --------- -------- ------- ----- -------
**2** Year2008 0.2775 0.1544 1.797 0.07772 0.25 0.8175
**3** Year2009 -0.11 0.1093 -1.006 0.3185 0.25 0.9113
**4** Year2013 -0.165 0.1579 -1.045 0.3005 0.25 0.9113
**6** Year2008 0.545 0.1146 4.758 1e-05 0.5 0.00048
**7** Year2009 -0.065 0.06804 -0.9553 0.3435 0.5 0.9113
**8** Year2013 0.0925 0.1116 0.8291 0.4106 0.5 0.9113
**10** Year2008 0.365 0.08811 4.143 0.00012 0.75 0.00374
**11** Year2009 -0.255 0.1283 -1.987 0.05185 0.75 0.726
**12** Year2013 0.045 0.1244 0.3617 0.719 0.75 0.9113
**21** Riqueza 0.115 0.03713 3.097 0.00301 0.25 0.08419
**41** Riqueza 0.065 0.05421 1.199 0.2354 0.5 0.9113
**61** Riqueza -0.03688 0.06168 -0.5978 0.5523 0.75 0.9113
**22** Equitatividad 0.02651 0.2369 0.1119 0.9113 0.25 0.9113
**42** Equitatividad -0.4527 0.2454 -1.845 0.07022 0.5 0.8107
**62** Equitatividad -0.4443 0.1855 -2.395 0.01987 0.75 0.3497
**23** Temp_promanio_of 0.1711 0.0888 1.926 0.05897 0.25 0.7666
**43** Temp_promanio_of 0.1646 0.06056 2.718 0.00865 0.5 0.1974
**63** Temp_promanio_of 0.1893 0.03585 5.28 0 0.75 7e-05
**24** Temp_prom_primav_of 0.03644 0.01843 1.977 0.05281 0.25 0.7343
**44** Temp_prom_primav_of 0.05216 0.0272 1.918 0.06007 0.5 0.7793
**64** Temp_prom_primav_of 0.04702 0.02167 2.17 0.03413 0.75 0.5461
**25** Temp_prom_ver_of 0.05871 0.02854 2.057 0.0442 0.25 0.6631
**45** Temp_prom_ver_of 0.1047 0.03597 2.911 0.00511 0.5 0.1379
**65** Temp_prom_ver_of 0.1124 0.04126 2.723 0.00852 0.75 0.196
**26** num_lapas 0.01083 0.01333 0.8129 0.4196 0.25 0.9113
**46** num_lapas -0.0065 0.01974 -0.3292 0.7432 0.5 0.9113
**66** num_lapas -0.02437 0.01722 -1.416 0.1622 0.75 0.8918
**27** Diaspiehielo -0.00583 0.00294 -1.985 0.05188 0.25 0.7263
**47** Diaspiehielo -0.00908 0.00373 -2.437 0.0179 0.5 0.3222
**67** Diaspiehielo -0.00771 0.00199 -3.873 0.00028 0.75 0.00854
**28** vientovelmedia_of 0.01559 0.03222 0.4839 0.6303 0.25 0.9113
**48** vientovelmedia_of -0.02968 0.02264 -1.311 0.1951 0.5 0.9113
**68** vientovelmedia_of -0.01911 0.03199 -0.5975 0.5525 0.75 0.9113
**29** diasnieveanual -0.00542 0.00231 -2.346 0.02242 0.25 0.3811
**49** diasnieveanual -0.00683 0.00165 -4.138 0.00011 0.5 0.00367
**69** diasnieveanual -0.0057 0.00106 -5.389 0 0.75 5e-05
------------------------------------------------------------------------------
Table: All Quantil regresion after Hommel correction
## [1] "ID_fila" "Foto"
## [3] "Nivel.Intermareal" "Mes"
## [5] "Year" "Diversidad"
## [7] "Riqueza" "Equitatividad"
## [9] "Cob.T" "num_lapas"
## [11] "SD_T" "Monostroma.hariotti"
## [13] "Adenocystis.utricularis" "Ascoseira.mirabilis"
## [15] "Desmarestia.menziesii" "Desmarestia.antarcticus"
## [17] "Phaeurus.antarcticus" "Corallinaceae"
## [19] "Gigartina.skottsbergii" "Iridaea.cordata"
## [21] "Palmaria.decipiens" "Plocamium.cartilagineum"
## [23] "Pyropya.endiviifolia" "Ulvophyceae.NI"
## [25] "Diaspiehielo" "diasnieveanual"
## [27] "Diasnievemensual" "Temp_promanio_of"
## [29] "Temp_promAA_of" "Vientodirprom"
## [31] "Temp_prommes_of" "Temp_maxmes_of"
## [33] "Temp_minmes_of" "vientovelmedia_of"
## [35] "vientodirecprom_of" "Temp_prom_primav_of"
## [37] "Temp_prom_ver_of"
## [1] "Monostroma.hariotti" "Adenocystis.utricularis"
## [3] "Ascoseira.mirabilis" "Desmarestia.menziesii"
## [5] "Desmarestia.antarcticus" "Phaeurus.antarcticus"
## [7] "Corallinaceae" "Gigartina.skottsbergii"
## [9] "Iridaea.cordata" "Palmaria.decipiens"
## [11] "Plocamium.cartilagineum" "Pyropya.endiviifolia"
## [13] "Ulvophyceae.NI"
## Loading required package: permute
## This is vegan 2.4-0
## Square root transformation
## Wisconsin double standardization
## Run 0 stress 0.1374284
## Run 1 stress 0.1571035
## Run 2 stress 0.1527755
## Run 3 stress 0.1567961
## Run 4 stress 0.1703811
## Run 5 stress 0.1521519
## Run 6 stress 0.1798546
## Run 7 stress 0.1658185
## Run 8 stress 0.1586308
## Run 9 stress 0.1374183
## ... New best solution
## ... Procrustes: rmse 0.001876461 max resid 0.01063773
## Run 10 stress 0.1575949
## Run 11 stress 0.152903
## Run 12 stress 0.1649906
## Run 13 stress 0.1468686
## Run 14 stress 0.1374284
## ... Procrustes: rmse 0.001862116 max resid 0.01055982
## Run 15 stress 0.1374183
## ... New best solution
## ... Procrustes: rmse 1.227431e-05 max resid 5.846958e-05
## ... Similar to previous best
## Run 16 stress 0.1374183
## ... Procrustes: rmse 1.776131e-05 max resid 0.0001026654
## ... Similar to previous best
## Run 17 stress 0.1580155
## Run 18 stress 0.1375352
## ... Procrustes: rmse 0.00528865 max resid 0.03302518
## Run 19 stress 0.1375347
## ... Procrustes: rmse 0.006697496 max resid 0.04456369
## Run 20 stress 0.1587499
## *** Solution reached
## NMDS1 NMDS2
## Monostroma.hariotti 0.3477265 -0.1714599
## Adenocystis.utricularis 0.4055964 -0.5440423
## Ascoseira.mirabilis -0.7653394 1.5587162
## Desmarestia.menziesii -0.4678926 1.1064613
## Phaeurus.antarcticus -1.0545060 1.1059437
## Corallinaceae -0.5325034 0.4829210
## Iridaea.cordata -0.6410205 -0.1300661
## Palmaria.decipiens 1.2416352 0.7137874
## Loading required package: RColorBrewer
##
## ***VECTORS
##
## NMDS1 NMDS2 r2 Pr(>r)
## Cob.T 0.66628 0.74570 0.2841 0.001 ***
## Riqueza -0.16583 0.98615 0.2698 0.001 ***
## num_lapas -0.52625 0.85033 0.0306 0.413
## Equitatividad -0.28400 0.95882 0.0262 0.458
## Temp_prom_primav_of 0.98275 0.18493 0.4667 0.001 ***
## Temp_prom_ver_of 0.99237 0.12333 0.5174 0.001 ***
## diasnieveanual -0.99989 -0.01493 0.3019 0.001 ***
## vientovelmedia_of 0.87545 0.48332 0.0933 0.076 .
## Diaspiehielo -0.98205 -0.18863 0.4578 0.001 ***
## Temp_promanio_of 0.99938 -0.03508 0.2184 0.004 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Permutation: free
## Number of permutations: 999
##
## ***FACTORS:
##
## Centroids:
## NMDS1 NMDS2
## Year2007 0.1122 0.0224
## Year2008 0.8167 0.0333
## Year2009 -0.4605 0.0486
## Year2013 -0.4684 -0.1043
##
## Goodness of fit:
## r2 Pr(>r)
## Year 0.3988 0.001 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Permutation: free
## Number of permutations: 999
##
## ***VECTORS
##
## NMDS1 NMDS2 r2 Pr(>r)
## Cover 0.66628 0.74570 0.2841 0.001 ***
## Richness -0.16583 0.98615 0.2698 0.001 ***
## Limpets -0.52625 0.85033 0.0306 0.422
## Equit. -0.28400 0.95882 0.0262 0.470
## SpringTemp 0.98275 0.18493 0.4667 0.001 ***
## SummerTemp 0.99237 0.12333 0.5174 0.001 ***
## SnowDays -0.99989 -0.01493 0.3019 0.001 ***
## WindVel 0.87545 0.48332 0.0933 0.051 .
## IceFoot -0.98205 -0.18863 0.4578 0.001 ***
## AnualTemp 0.99938 -0.03508 0.2184 0.002 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Permutation: free
## Number of permutations: 999
## png
## 2