Permutational multivariate analysis of variance .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3055e1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "##https://archetypalecology.wordpress.com/2018/02/21/permutational-multivariate-analysis-of-variance-permanova-in-r-preliminary/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d6eadbdc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: permute\n",
      "\n",
      "Loading required package: lattice\n",
      "\n",
      "This is vegan 2.6-4\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(vegan)\n",
    "data(dune)\n",
    "data(dune.env)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aaf855e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 20 × 30</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Achimill</th><th scope=col>Agrostol</th><th scope=col>Airaprae</th><th scope=col>Alopgeni</th><th scope=col>Anthodor</th><th scope=col>Bellpere</th><th scope=col>Bromhord</th><th scope=col>Chenalbu</th><th scope=col>Cirsarve</th><th scope=col>Comapalu</th><th scope=col>⋯</th><th scope=col>Ranuflam</th><th scope=col>Rumeacet</th><th scope=col>Sagiproc</th><th scope=col>Salirepe</th><th scope=col>Scorautu</th><th scope=col>Trifprat</th><th scope=col>Trifrepe</th><th scope=col>Vicilath</th><th scope=col>Bracruta</th><th scope=col>Callcusp</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
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       "\t<tr><th scope=row>12</th><td>0</td><td>4</td><td>0</td><td>8</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>0</td><td>2</td><td>4</td><td>0</td><td>2</td><td>0</td><td>3</td><td>0</td><td>4</td><td>0</td></tr>\n",
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       "\t<tr><th scope=row>17</th><td>2</td><td>0</td><td>2</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>0</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>18</th><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>0</td><td>0</td><td>0</td><td>3</td><td>5</td><td>0</td><td>2</td><td>1</td><td>6</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>19</th><td>0</td><td>0</td><td>3</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>0</td><td>0</td><td>3</td><td>3</td><td>6</td><td>0</td><td>2</td><td>0</td><td>3</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>20</th><td>0</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>4</td><td>0</td><td>0</td><td>5</td><td>2</td><td>0</td><td>0</td><td>0</td><td>4</td><td>3</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 20 × 30\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & Achimill & Agrostol & Airaprae & Alopgeni & Anthodor & Bellpere & Bromhord & Chenalbu & Cirsarve & Comapalu & ⋯ & Ranuflam & Rumeacet & Sagiproc & Salirepe & Scorautu & Trifprat & Trifrepe & Vicilath & Bracruta & Callcusp\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t2 & 3 & 0 & 0 & 2 & 0 & 3 & 4 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 0 & 5 & 0 & 5 & 0 & 0 & 0\\\\\n",
       "\t3 & 0 & 4 & 0 & 7 & 0 & 2 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 0 & 2 & 0 & 2 & 0 & 2 & 0\\\\\n",
       "\t4 & 0 & 8 & 0 & 2 & 0 & 2 & 3 & 0 & 2 & 0 & ⋯ & 0 & 0 & 5 & 0 & 2 & 0 & 1 & 0 & 2 & 0\\\\\n",
       "\t5 & 2 & 0 & 0 & 0 & 4 & 2 & 2 & 0 & 0 & 0 & ⋯ & 0 & 5 & 0 & 0 & 3 & 2 & 2 & 0 & 2 & 0\\\\\n",
       "\t6 & 2 & 0 & 0 & 0 & 3 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 6 & 0 & 0 & 3 & 5 & 5 & 0 & 6 & 0\\\\\n",
       "\t7 & 2 & 0 & 0 & 0 & 2 & 0 & 2 & 0 & 0 & 0 & ⋯ & 0 & 3 & 0 & 0 & 3 & 2 & 2 & 0 & 2 & 0\\\\\n",
       "\t8 & 0 & 4 & 0 & 5 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 2 & 0 & 2 & 0 & 3 & 0 & 2 & 0 & 2 & 0\\\\\n",
       "\t9 & 0 & 3 & 0 & 3 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 2 & 2 & 0 & 2 & 0 & 3 & 0 & 2 & 0\\\\\n",
       "\t10 & 4 & 0 & 0 & 0 & 4 & 2 & 4 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 0 & 3 & 0 & 6 & 1 & 2 & 0\\\\\n",
       "\t11 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 2 & 0 & 5 & 0 & 3 & 2 & 4 & 0\\\\\n",
       "\t12 & 0 & 4 & 0 & 8 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 2 & 4 & 0 & 2 & 0 & 3 & 0 & 4 & 0\\\\\n",
       "\t13 & 0 & 5 & 0 & 5 & 0 & 0 & 0 & 1 & 0 & 0 & ⋯ & 2 & 0 & 2 & 0 & 2 & 0 & 2 & 0 & 0 & 0\\\\\n",
       "\t14 & 0 & 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & ⋯ & 2 & 0 & 0 & 0 & 2 & 0 & 6 & 0 & 0 & 4\\\\\n",
       "\t15 & 0 & 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & ⋯ & 2 & 0 & 0 & 0 & 2 & 0 & 1 & 0 & 4 & 0\\\\\n",
       "\t16 & 0 & 7 & 0 & 4 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 4 & 3\\\\\n",
       "\t17 & 2 & 0 & 2 & 0 & 4 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t18 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 0 & 3 & 5 & 0 & 2 & 1 & 6 & 0\\\\\n",
       "\t19 & 0 & 0 & 3 & 0 & 4 & 0 & 0 & 0 & 0 & 0 & ⋯ & 0 & 0 & 3 & 3 & 6 & 0 & 2 & 0 & 3 & 0\\\\\n",
       "\t20 & 0 & 5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & ⋯ & 4 & 0 & 0 & 5 & 2 & 0 & 0 & 0 & 4 & 3\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 20 × 30\n",
       "\n",
       "| <!--/--> | Achimill &lt;dbl&gt; | Agrostol &lt;dbl&gt; | Airaprae &lt;dbl&gt; | Alopgeni &lt;dbl&gt; | Anthodor &lt;dbl&gt; | Bellpere &lt;dbl&gt; | Bromhord &lt;dbl&gt; | Chenalbu &lt;dbl&gt; | Cirsarve &lt;dbl&gt; | Comapalu &lt;dbl&gt; | ⋯ ⋯ | Ranuflam &lt;dbl&gt; | Rumeacet &lt;dbl&gt; | Sagiproc &lt;dbl&gt; | Salirepe &lt;dbl&gt; | Scorautu &lt;dbl&gt; | Trifprat &lt;dbl&gt; | Trifrepe &lt;dbl&gt; | Vicilath &lt;dbl&gt; | Bracruta &lt;dbl&gt; | Callcusp &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 2 | 3 | 0 | 0 | 2 | 0 | 3 | 4 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |\n",
       "| 3 | 0 | 4 | 0 | 7 | 0 | 2 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 0 |\n",
       "| 4 | 0 | 8 | 0 | 2 | 0 | 2 | 3 | 0 | 2 | 0 | ⋯ | 0 | 0 | 5 | 0 | 2 | 0 | 1 | 0 | 2 | 0 |\n",
       "| 5 | 2 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | ⋯ | 0 | 5 | 0 | 0 | 3 | 2 | 2 | 0 | 2 | 0 |\n",
       "| 6 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 6 | 0 | 0 | 3 | 5 | 5 | 0 | 6 | 0 |\n",
       "| 7 | 2 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | ⋯ | 0 | 3 | 0 | 0 | 3 | 2 | 2 | 0 | 2 | 0 |\n",
       "| 8 | 0 | 4 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2 | 0 | 2 | 0 | 3 | 0 | 2 | 0 | 2 | 0 |\n",
       "| 9 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 2 | 2 | 0 | 2 | 0 | 3 | 0 | 2 | 0 |\n",
       "| 10 | 4 | 0 | 0 | 0 | 4 | 2 | 4 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 3 | 0 | 6 | 1 | 2 | 0 |\n",
       "| 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 2 | 0 | 5 | 0 | 3 | 2 | 4 | 0 |\n",
       "| 12 | 0 | 4 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 2 | 4 | 0 | 2 | 0 | 3 | 0 | 4 | 0 |\n",
       "| 13 | 0 | 5 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | ⋯ | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 0 |\n",
       "| 14 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ⋯ | 2 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 0 | 4 |\n",
       "| 15 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ⋯ | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 4 | 0 |\n",
       "| 16 | 0 | 7 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 |\n",
       "| 17 | 2 | 0 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 18 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 3 | 5 | 0 | 2 | 1 | 6 | 0 |\n",
       "| 19 | 0 | 0 | 3 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 3 | 3 | 6 | 0 | 2 | 0 | 3 | 0 |\n",
       "| 20 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 4 | 0 | 0 | 5 | 2 | 0 | 0 | 0 | 4 | 3 |\n",
       "\n"
      ],
      "text/plain": [
       "   Achimill Agrostol Airaprae Alopgeni Anthodor Bellpere Bromhord Chenalbu\n",
       "1  1        0        0        0        0        0        0        0       \n",
       "2  3        0        0        2        0        3        4        0       \n",
       "3  0        4        0        7        0        2        0        0       \n",
       "4  0        8        0        2        0        2        3        0       \n",
       "5  2        0        0        0        4        2        2        0       \n",
       "6  2        0        0        0        3        0        0        0       \n",
       "7  2        0        0        0        2        0        2        0       \n",
       "8  0        4        0        5        0        0        0        0       \n",
       "9  0        3        0        3        0        0        0        0       \n",
       "10 4        0        0        0        4        2        4        0       \n",
       "11 0        0        0        0        0        0        0        0       \n",
       "12 0        4        0        8        0        0        0        0       \n",
       "13 0        5        0        5        0        0        0        1       \n",
       "14 0        4        0        0        0        0        0        0       \n",
       "15 0        4        0        0        0        0        0        0       \n",
       "16 0        7        0        4        0        0        0        0       \n",
       "17 2        0        2        0        4        0        0        0       \n",
       "18 0        0        0        0        0        2        0        0       \n",
       "19 0        0        3        0        4        0        0        0       \n",
       "20 0        5        0        0        0        0        0        0       \n",
       "   Cirsarve Comapalu ⋯ Ranuflam Rumeacet Sagiproc Salirepe Scorautu Trifprat\n",
       "1  0        0        ⋯ 0        0        0        0        0        0       \n",
       "2  0        0        ⋯ 0        0        0        0        5        0       \n",
       "3  0        0        ⋯ 0        0        0        0        2        0       \n",
       "4  2        0        ⋯ 0        0        5        0        2        0       \n",
       "5  0        0        ⋯ 0        5        0        0        3        2       \n",
       "6  0        0        ⋯ 0        6        0        0        3        5       \n",
       "7  0        0        ⋯ 0        3        0        0        3        2       \n",
       "8  0        0        ⋯ 2        0        2        0        3        0       \n",
       "9  0        0        ⋯ 0        2        2        0        2        0       \n",
       "10 0        0        ⋯ 0        0        0        0        3        0       \n",
       "11 0        0        ⋯ 0        0        2        0        5        0       \n",
       "12 0        0        ⋯ 0        2        4        0        2        0       \n",
       "13 0        0        ⋯ 2        0        2        0        2        0       \n",
       "14 0        2        ⋯ 2        0        0        0        2        0       \n",
       "15 0        2        ⋯ 2        0        0        0        2        0       \n",
       "16 0        0        ⋯ 2        0        0        0        0        0       \n",
       "17 0        0        ⋯ 0        0        0        0        2        0       \n",
       "18 0        0        ⋯ 0        0        0        3        5        0       \n",
       "19 0        0        ⋯ 0        0        3        3        6        0       \n",
       "20 0        0        ⋯ 4        0        0        5        2        0       \n",
       "   Trifrepe Vicilath Bracruta Callcusp\n",
       "1  0        0        0        0       \n",
       "2  5        0        0        0       \n",
       "3  2        0        2        0       \n",
       "4  1        0        2        0       \n",
       "5  2        0        2        0       \n",
       "6  5        0        6        0       \n",
       "7  2        0        2        0       \n",
       "8  2        0        2        0       \n",
       "9  3        0        2        0       \n",
       "10 6        1        2        0       \n",
       "11 3        2        4        0       \n",
       "12 3        0        4        0       \n",
       "13 2        0        0        0       \n",
       "14 6        0        0        4       \n",
       "15 1        0        4        0       \n",
       "16 0        0        4        3       \n",
       "17 0        0        0        0       \n",
       "18 2        1        6        0       \n",
       "19 2        0        3        0       \n",
       "20 0        0        4        3       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f7a89432",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A anova.cca: 5 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Df</th><th scope=col>SumOfSqs</th><th scope=col>R2</th><th scope=col>F</th><th scope=col>Pr(&gt;F)</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Management</th><td> 3</td><td>1.4685918</td><td>0.3416107</td><td>3.262876</td><td>0.002</td></tr>\n",
       "\t<tr><th scope=row>A1</th><td> 1</td><td>0.4408892</td><td>0.1025557</td><td>2.938666</td><td>0.019</td></tr>\n",
       "\t<tr><th scope=row>Management:A1</th><td> 3</td><td>0.5891763</td><td>0.1370489</td><td>1.309015</td><td>0.198</td></tr>\n",
       "\t<tr><th scope=row>Residual</th><td>12</td><td>1.8003646</td><td>0.4187847</td><td>      NA</td><td>   NA</td></tr>\n",
       "\t<tr><th scope=row>Total</th><td>19</td><td>4.2990219</td><td>1.0000000</td><td>      NA</td><td>   NA</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A anova.cca: 5 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & Df & SumOfSqs & R2 & F & Pr(>F)\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tManagement &  3 & 1.4685918 & 0.3416107 & 3.262876 & 0.002\\\\\n",
       "\tA1 &  1 & 0.4408892 & 0.1025557 & 2.938666 & 0.019\\\\\n",
       "\tManagement:A1 &  3 & 0.5891763 & 0.1370489 & 1.309015 & 0.198\\\\\n",
       "\tResidual & 12 & 1.8003646 & 0.4187847 &       NA &    NA\\\\\n",
       "\tTotal & 19 & 4.2990219 & 1.0000000 &       NA &    NA\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A anova.cca: 5 × 5\n",
       "\n",
       "| <!--/--> | Df &lt;dbl&gt; | SumOfSqs &lt;dbl&gt; | R2 &lt;dbl&gt; | F &lt;dbl&gt; | Pr(&gt;F) &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| Management |  3 | 1.4685918 | 0.3416107 | 3.262876 | 0.002 |\n",
       "| A1 |  1 | 0.4408892 | 0.1025557 | 2.938666 | 0.019 |\n",
       "| Management:A1 |  3 | 0.5891763 | 0.1370489 | 1.309015 | 0.198 |\n",
       "| Residual | 12 | 1.8003646 | 0.4187847 |       NA |    NA |\n",
       "| Total | 19 | 4.2990219 | 1.0000000 |       NA |    NA |\n",
       "\n"
      ],
      "text/plain": [
       "              Df SumOfSqs  R2        F        Pr(>F)\n",
       "Management     3 1.4685918 0.3416107 3.262876 0.002 \n",
       "A1             1 0.4408892 0.1025557 2.938666 0.019 \n",
       "Management:A1  3 0.5891763 0.1370489 1.309015 0.198 \n",
       "Residual      12 1.8003646 0.4187847       NA    NA \n",
       "Total         19 4.2990219 1.0000000       NA    NA "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dune.dist <- vegdist(dune, method=\"bray\")\n",
    "# default test by terms\n",
    "dune.div <- adonis2(dune ~ Management*A1, data = dune.env, permutations = 999, method=\"bray\")\n",
    "dune.div"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "51c5ea77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A anova.cca: 3 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Df</th><th scope=col>SumOfSqs</th><th scope=col>R2</th><th scope=col>F</th><th scope=col>Pr(&gt;F)</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Model</th><td> 7</td><td>2.498657</td><td>0.5812153</td><td>2.379192</td><td>0.003</td></tr>\n",
       "\t<tr><th scope=row>Residual</th><td>12</td><td>1.800365</td><td>0.4187847</td><td>      NA</td><td>   NA</td></tr>\n",
       "\t<tr><th scope=row>Total</th><td>19</td><td>4.299022</td><td>1.0000000</td><td>      NA</td><td>   NA</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A anova.cca: 3 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & Df & SumOfSqs & R2 & F & Pr(>F)\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tModel &  7 & 2.498657 & 0.5812153 & 2.379192 & 0.003\\\\\n",
       "\tResidual & 12 & 1.800365 & 0.4187847 &       NA &    NA\\\\\n",
       "\tTotal & 19 & 4.299022 & 1.0000000 &       NA &    NA\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A anova.cca: 3 × 5\n",
       "\n",
       "| <!--/--> | Df &lt;dbl&gt; | SumOfSqs &lt;dbl&gt; | R2 &lt;dbl&gt; | F &lt;dbl&gt; | Pr(&gt;F) &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| Model |  7 | 2.498657 | 0.5812153 | 2.379192 | 0.003 |\n",
       "| Residual | 12 | 1.800365 | 0.4187847 |       NA |    NA |\n",
       "| Total | 19 | 4.299022 | 1.0000000 |       NA |    NA |\n",
       "\n"
      ],
      "text/plain": [
       "         Df SumOfSqs R2        F        Pr(>F)\n",
       "Model     7 2.498657 0.5812153 2.379192 0.003 \n",
       "Residual 12 1.800365 0.4187847       NA    NA \n",
       "Total    19 4.299022 1.0000000       NA    NA "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# overall tests\n",
    "adonis2(dune ~ Management*A1, data = dune.env, permutations = 999, method=\"bray\", by = NULL)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b481b9be",
   "metadata": {},
   "source": [
    "The different management styles (Biological farming, Hobby farming etc) indeed have a significant effect on species composition (p < 0.05)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60eccb97",
   "metadata": {},
   "source": [
    "Analysis of multivariate homogeneity of group dispersions (variances).\n",
    "Used as a measure of multivariate beta diversity. Bedadisper is a multivariate analogue of Levene’s test for homogeneity of variances. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5a300ad9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Permutation test for homogeneity of multivariate dispersions\n",
       "Permutation: free\n",
       "Number of permutations: 999\n",
       "\n",
       "Response: Distances\n",
       "          Df  Sum Sq  Mean Sq      F N.Perm Pr(>F)\n",
       "Groups     3 0.13831 0.046104 1.9506    999  0.139\n",
       "Residuals 16 0.37816 0.023635                     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dispersion <- betadisper(dune.dist, group=dune.env$Management)\n",
    "permutest(dispersion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6eb16048",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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r82XzOH3Ljz+FMjonrHXTD/Vp0b99nM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mKTStugRkFrBbp0tYINWJPsdcTIuqzQYo3WTrSiYU4jO9eVgLkDA6Dti7sECyN+Pc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\nz3/z58/3+fxY9915xe6NYen777F32r5vH024V0bA8ggYCRF+cyJBiiLRw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GDiOQHtfotJ7QRMFn60Rh+u0mZOeOwZg0GeELgpkSzRLlcw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\nDWhgkA38Ag/ErR7jtKxXAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “dispersion”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(dispersion, hull=FALSE, ellipse=TRUE) ##sd ellipse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4b9e558",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
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