[Vegan-commits] r1922 - pkg/vegan/tests/Examples
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Sun Oct 2 08:20:18 CEST 2011
Author: jarioksa
Date: 2011-10-02 08:20:17 +0200 (Sun, 02 Oct 2011)
New Revision: 1922
Modified:
pkg/vegan/tests/Examples/vegan-Ex.Rout.save
Log:
update
Modified: pkg/vegan/tests/Examples/vegan-Ex.Rout.save
===================================================================
--- pkg/vegan/tests/Examples/vegan-Ex.Rout.save 2011-10-02 06:08:15 UTC (rev 1921)
+++ pkg/vegan/tests/Examples/vegan-Ex.Rout.save 2011-10-02 06:20:17 UTC (rev 1922)
@@ -161,7 +161,7 @@
Formula:
y ~ poly(x1, 1) + poly(x2, 1)
-<environment: 0x102616740>
+<environment: 0x102616318>
Total model degrees of freedom 3
GCV score: 0.0427924
@@ -4134,18 +4134,33 @@
> ### Title: Evaluate Statistics with Null Models of Biological Communities
> ### Aliases: oecosimu as.ts.oecosimu as.mcmc.oecosimu density.oecosimu
> ### densityplot.oecosimu
-> ### Keywords: multivariate datagen
+> ### Keywords: multivariate datagen nonparametric
>
> ### ** Examples
>
> ## Use the first eigenvalue of correspondence analysis as an index
> ## of structure: a model for making your own functions.
> data(sipoo)
-> out <- oecosimu(sipoo, decorana, "swap", burnin=100, thin=10, statistic="evals")
+> ## Traditional nestedness statistics (number of checkerboard units)
+> oecosimu(sipoo, nestedchecker, "r0")
+oecosimu with 99 simulations
+simulation method ‘r0’
+alternative hypothesis: true mean is not equal to the statistic
+
+Checkerboard Units : 2767
+C-score (species mean): 2.258776
+
+ statistic z 2.5% 50% 97.5% Pr(sim.)
+statistic 2767.000 -17.768 7529.850 8052.000 8518.5 0.01 **
+---
+Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+> ## sequential model, one-sided test, a vector statistic
+> out <- oecosimu(sipoo, decorana, "swap", burnin=100, thin=10,
++ statistic="evals", alt = "less")
> out
oecosimu with 99 simulations
simulation method ‘swap’ with thin 10, burnin 100
-alternative hypothesis: true mean is not equal to the statistic
+alternative hypothesis: true mean is less than the statistic
Call:
@@ -4160,11 +4175,11 @@
Axis lengths 2.9197 2.5442 2.7546 1.78074
- statistic z 2.5% 50% 97.5% Pr(sim.)
-DCA1 0.382249 2.867094 0.265441 0.318296 0.3561 0.01 **
-DCA2 0.261208 1.876958 0.172847 0.217304 0.2594 0.05 *
-DCA3 0.166788 0.394936 0.119616 0.158218 0.2019 0.67
-DCA4 0.087226 -1.979239 0.084854 0.128229 0.1709 0.11
+ statistic z 0% 50% 95% Pr(sim.)
+DCA1 0.382249 1.865783 0.230869 0.323729 0.3726 0.02 *
+DCA2 0.261208 1.577196 0.149703 0.216169 0.2637 0.09 .
+DCA3 0.166788 0.520903 0.105269 0.155716 0.1859 0.30
+DCA4 0.087226 -1.982236 0.066742 0.126492 0.1649 0.99
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> ## Inspect the swap sequence as a time series object
@@ -4186,7 +4201,7 @@
alternative hypothesis: true mean is not equal to the statistic
statistic z 2.5% 50% 97.5% Pr(sim.)
-statistic 0.64565 13.89665 0.44577 0.46758 0.4934 0.01 **
+statistic 0.64565 13.06023 0.44057 0.46544 0.4924 0.01 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
@@ -4198,14 +4213,15 @@
+ out[,,k] <- apply(x, 2, function(z) sample(z, length(z)))
+ out
+ }
-> cf <- commsim("myshuffle", foo, isSeq = FALSE, binary = FALSE, mode = "double")
+> cf <- commsim("myshuffle", foo, isSeq = FALSE, binary = FALSE,
++ mode = "double")
> oecosimu(dune, meandist, cf)
oecosimu with 99 simulations
simulation method ‘myshuffle’
alternative hypothesis: true mean is not equal to the statistic
- statistic z 2.5% 50% 97.5% Pr(sim.)
-statistic 0.64565 3.44557 0.62994 0.63487 0.6418 0.01 **
+ statistic z 2.5% 50% 97.5% Pr(sim.)
+statistic 0.64565 3.11878 0.62983 0.63557 0.6416 0.03 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
@@ -4732,7 +4748,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x1075fb590>
+<environment: 0x1076efd50>
Estimated degrees of freedom:
6.4351 total = 7.435071
@@ -4748,7 +4764,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x1078fa348>
+<environment: 0x107d2c520>
Estimated degrees of freedom:
6.1039 total = 7.103853
@@ -4904,7 +4920,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x1079ace28>
+<environment: 0x1071b6878>
Estimated degrees of freedom:
8.9275 total = 9.927492
@@ -4917,7 +4933,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x1070ece38>
+<environment: 0x107335828>
Estimated degrees of freedom:
7.7529 total = 8.75294
@@ -4930,7 +4946,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x1079fcc68>
+<environment: 0x107559a78>
Estimated degrees of freedom:
8.8962 total = 9.89616
@@ -7192,7 +7208,7 @@
Formula:
y ~ s(x1, x2, k = knots)
-<environment: 0x10775ea98>
+<environment: 0x107b75200>
Estimated degrees of freedom:
2 total = 3
@@ -7668,7 +7684,7 @@
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n")
-Time elapsed: 175.18 2.895 213.598 0 0
+Time elapsed: 101.036 1.382 104.093 0 0
> grDevices::dev.off()
null device
1
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