PK j}X qT qT suppl-4.htmUT *f*f
Marti J. Anderson, Daniel C. I. Walsh. 2013. PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing?. Ecological Monographs 83:557–574. http://dx.doi.org/10.1890/12-2010.1
Supplement 4
Full results of all simulations based on real ecological data sets.
Ecological Archives M083-019-S4.
Authors
File list (downloads)
Description
Marti J. Anderson
New Zealand Institute for Advanced Study
Massey University, Albany Campus
Private Bag 102 904
Auckland 0745
New Zealand
Email: m.j.anderson@massey.ac.nz
Daniel C. I. Walsh
Institute of Natural and Mathematical Sciences (INMS)
Massey University, Albany Campus
Private Bag 102 904
Auckland 0745
New Zealand
Email: d.c.walsh@massey.ac.nz
File list
All Files at Once: Supplement_4.zip (MD5: 99118d5a730b35158dfd8221359fe071)
Readme_Supplement4.txt (MD5: 9bd08a73dacd557218d15fbf7ec0b736)
Ekofisk_A-B_ln.ct.eu.csv (MD5: 0d3ce597a4e29c8c623887a78b770a1c)
Ekofisk_A-B_ln.l1.eu.csv (MD5: ef172e1fd244f2965db74e6ce90e4668)
Ekofisk_A-B_ln.qp.bc0.csv (MD5: 8a16107add34c982d2c0150c19e4ae66)
Ekofisk_A-B_nb.ct.eu.df.csv (MD5: beef868620cb7aafcb68bee6362049e6)
Ekofisk_A-B_nb.ct.eu.dv.csv (MD5: 71b4fb17c435efa98b938cf726b3ccab)
Ekofisk_A-B_nb.l1.eu.df.csv (MD5: 8cb373ecaa1734f383d49565e3526bb1)
Ekofisk_A-B_nb.l1.eu.dv.csv (MD5: 951caa153d17ad2c6f6969c6b15b5c0f)
Ekofisk_A-B_nb.qp.bc0.df.csv (MD5: ca5dce6d00e613cf8ce97d4a5b040f6a)
Ekofisk_A-B_nb.qp.bc0.dv.csv (MD5: ed17b91e48c3c80ad393fe9770e08ded)
Ekofisk_B-C_ln.ct.eu.csv (MD5: 4ce323a61b563d95d6c096e65266cc99)
Ekofisk_B-C_ln.l1.eu.csv (MD5: b33f386f6908b15473b60ffa6ace7f8c)
Ekofisk_B-C_ln.qp.bc0.csv (MD5: 1a725ee4344c06612baadc9fec3d3ea4)
Ekofisk_B-C_nb.ct.eu.df.csv (MD5: 43825cee065d2eb68abc6a91e01ff597)
Ekofisk_B-C_nb.ct.eu.dv.csv (MD5: 68ccd5dcd506272b49a3f9f1b2d28a33)
Ekofisk_B-C_nb.l1.eu.df.csv (MD5: ed3422a1e15770f8cef292aa38babdc7)
Ekofisk_B-C_nb.l1.eu.dv.csv (MD5: f8ee41cc4039a3024b6c41b7451a58c3)
Ekofisk_B-C_nb.qp.bc0.df.csv (MD5: e10e77b839a5b9cf7fec06193e29ab2b)
Ekofisk_B-C_nb.qp.bc0.dv.csv (MD5: 40dbf1bb2ce0173a3ded2b1390178196)
Ekofisk_C-D_ln.ct.eu.csv (MD5: 6ddd836946d15dba4aa573e607145764)
Ekofisk_C-D_ln.l1.eu.csv (MD5: 21367f8c2b66d3d5f94215026e878363)
Ekofisk_C-D_ln.qp.bc0.csv (MD5: b2a4b4006fc0c360eb5fd50308d344d4)
Ekofisk_C-D_nb.ct.eu.df.csv (MD5: 51b69b5b11786f65151ef8cfaec039c1)
Ekofisk_C-D_nb.ct.eu.dv.csv (MD5: 49a647c692de13cbc00137426d093a3b)
Ekofisk_C-D_nb.l1.eu.df.csv (MD5: a3b6b69d1f1b49cc8ef016439e727b13)
Ekofisk_C-D_nb.l1.eu.dv.csv (MD5: cd4eba9e0ea0054a4031f6880ed66ee3)
Ekofisk_C-D_nb.qp.bc0.df.csv (MD5: 91a96296b58cc25854dbc25f81cba34e)
Ekofisk_C-D_nb.qp.bc0.dv.csv (MD5: 28368a722305de4d1cda6c78e0828b55)
Norway_1-2.csv (MD5: a1f4e514dc12b896b0d0525d9ccd2b7f)
Norway_2-3.csv (MD5: 3515a4d2e6ff16e0b715fa9070c88af9)
Norway_3-4.csv (MD5: fb6bb2783f280843d4a9773bd817c99f)
Norway_4-5.csv (MD5: a4db9806ff9eb0fe38c3f5ccf8112bc6)
Description
Readme_Supplement4.txt contains information on the content and variable names and definitions contained in all of the *.csv files of simulation results.
Ekofisk_A-B_ln.ct.eu.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the lognormal distribution and using chi-squared distances.
Ekofisk_A-B_ln.l1.eu.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the lognormal distribution and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_A-B_ln.qp.bc0.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the lognormal distribution and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_A-B_nb.ct.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using chi-squared distances.
Ekofisk_A-B_nb.ct.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using chi-squared distances.
Ekofisk_A-B_nb.l1.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_A-B_nb.l1.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_A-B_nb.qp.bc0.df.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_A-B_nb.qp.bc0.dv.csv contains results of all simulations based on the Ekofisk data to compare groups A and B on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_B-C_ln.ct.eu.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the lognormal distribution and using chi-squared distances
Ekofisk_B-C_ln.l1.eu.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the lognormal distribution and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_B-C_ln.qp.bc0.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the lognormal distribution and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_B-C_nb.ct.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using chi-squared distances.
Ekofisk_B-C_nb.ct.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using chi-squared distances.
Ekofisk_B-C_nb.l1.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_B-C_nb.l1.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_B-C_nb.qp.bc0.df.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_B-C_nb.qp.bc0.dv.csv contains results of all simulations based on the Ekofisk data to compare groups B and C on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_C-D_ln.ct.eu.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the lognormal distribution and using chi-squared distances
Ekofisk_C-D_ln.l1.eu.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the lognormal distribution and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_C-D_ln.qp.bc0.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the lognormal distribution and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_C-D_nb.ct.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using chi-squared distances.
Ekofisk_C-D_nb.ct.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using chi-squared distances.
Ekofisk_C-D_nb.l1.eu.df.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_C-D_nb.l1.eu.dv.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Euclidean distances on log(x+1)-transformed data.
Ekofisk_C-D_nb.qp.bc0.df.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with fixed overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Ekofisk_C-D_nb.qp.bc0.dv.csv contains results of all simulations based on the Ekofisk data to compare groups C and D on the basis of the negative binomial/Poisson distributions with variable overdispersion parameters and using Bray-Curtis dissimilarities fourth-root-transformed data.
Norway_1-2.csv contains results of all simulations based on the Norwegian continental shelf data set to compare Area 1 and Area 2 using Bernoulli distributions to generate presence/absence (1,0) data and on the basis of Jaccard dissimilarities.
Norway_2-3.csv contains results of all simulations based on the Norwegian continental shelf data set to compare Area 2 and Area 3 using Bernoulli distributions to generate presence/absence (1,0) data and on the basis of Jaccard dissimilarities.
Norway_3-4.csv contains results of all simulations based on the Norwegian continental shelf data set to compare Area 3 and Area 4 using Bernoulli distributions to generate presence/absence (1,0) data and on the basis of Jaccard dissimilarities.
Norway_4-5.csv contains results of all simulations based on the Norwegian continental shelf data set to compare Area 4 and Area 5 using Bernoulli distributions to generate presence/absence (1,0) data and on the basis of Jaccard dissimilarities.
ESA Publications | Ecological Archives | Permissions | Citation | Contacts
PK@"qT qT PK j}X a$ a$ Ekofisk_B-C_nb.l1.eu.dv.csvUT *f*f"id","main_seed","name","distribution","transformation","distance","dispersion","p","g","nsim","nperm.pam","nperm.d","seed","n_1","n_2","N","Delta","method","t1","t1.lb","t1.ub" 1,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,639561742,12,10,22,0,"PERMANOVA",0.048,0.0359600080383936,0.0636285845165773 2,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,367534028,12,10,22,0.1,"PERMANOVA",0.073,0.0580113652070019,0.0913573223187132 3,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,450236819,12,10,22,0.2,"PERMANOVA",0.165,0.142814396177631,0.189805062930121 4,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,717045863,12,10,22,0.3,"PERMANOVA",0.348,0.318621161627896,0.378561833527432 5,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,721305647,12,10,22,0.4,"PERMANOVA",0.614,0.582939577693356,0.644173492509539 6,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,919635728,12,10,22,0.5,"PERMANOVA",0.861,0.837643342953026,0.881529565271859 7,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,782167509,12,10,22,0.6,"PERMANOVA",0.965,0.951138565282994,0.975148499476566 8,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,131726548,12,10,22,0.7,"PERMANOVA",0.997,0.99048216034179,0.999224889959259 9,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,396701845,12,10,22,0.8,"PERMANOVA",1,0.995229270628373,1 10,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,170231486,12,10,22,0.9,"PERMANOVA",1,0.995229270628373,1 11,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,189167425,12,10,22,1,"PERMANOVA",1,0.995229270628373,1 1,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,639561742,12,10,22,0,"ANOSIM",0.044,0.0325082134598808,0.0591175271808763 2,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,367534028,12,10,22,0.1,"ANOSIM",0.076,0.0607005236213495,0.0946426879498649 3,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,450236819,12,10,22,0.2,"ANOSIM",0.167,0.144695979588768,0.191907577078948 4,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,717045863,12,10,22,0.3,"ANOSIM",0.349,0.319597674293691,0.379577525025511 5,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,721305647,12,10,22,0.4,"ANOSIM",0.56,0.5285608477393,0.590972492732871 6,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,919635728,12,10,22,0.5,"ANOSIM",0.809,0.782949748328689,0.832636930497458 7,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,782167509,12,10,22,0.6,"ANOSIM",0.95,0.934125167639916,0.962304535604417 8,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,131726548,12,10,22,0.7,"ANOSIM",0.985,0.974782543566305,0.99126675182535 9,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,396701845,12,10,22,0.8,"ANOSIM",0.999,0.993531214953175,0.999947797644557 10,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,170231486,12,10,22,0.9,"ANOSIM",1,0.995229270628373,1 11,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,189167425,12,10,22,1,"ANOSIM",1,0.995229270628373,1 1,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,639561742,12,10,22,0,"Mantel",0.051,0.0385654235184298,0.0669957870766927 2,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,367534028,12,10,22,0.1,"Mantel",0.07,0.0553300396668608,0.0880642687621321 3,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,450236819,12,10,22,0.2,"Mantel",0.164,0.141874054803732,0.188753358766176 4,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,717045863,12,10,22,0.3,"Mantel",0.347,0.317644791566362,0.377545999710198 5,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,721305647,12,10,22,0.4,"Mantel",0.583,0.55167620468219,0.613678180445242 6,19826,"Ekofisk_B-C_nb.l1.eu.dv","negbin","loge1","euclidean","varies",173,2,1000,999,999,919635728,12,10,22,0.5,"Mantel",0.829,0.803890912520722,0.851537310638291 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