fortify-permustats.md
In ggvegan: 'ggplot2' Plots for the 'vegan' Package

fortify works for permustats objects

Code
  fortify(permu_adonis)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model       -1.79
   2 Model       -2.17
   3 Model       -1.64
   4 Model       -2.01
   5 Model       -1.97
   6 Model       -1.62
   7 Model       -2.07
   8 Model       -1.70
   9 Model       -2.36
  10 Model       -1.73
  # i 989 more rows

Code
  fortify(permu_ano)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 R         -0.233 
   2 R         -0.362 
   3 R         -0.308 
   4 R         -0.315 
   5 R         -0.174 
   6 R         -0.205 
   7 R         -0.227 
   8 R         -0.312 
   9 R          0.0120
  10 R         -0.235 
  # i 989 more rows

Code
  fortify(permu_cca)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model      -0.263
   2 Model      -0.757
   3 Model      -0.629
   4 Model      -0.721
   5 Model      -0.638
   6 Model      -0.606
   7 Model      -0.685
   8 Model      -0.670
   9 Model      -0.840
  10 Model      -0.617
  # i 989 more rows

Code
  fortify(permu_rda)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model      -0.619
   2 Model      -0.949
   3 Model      -0.925
   4 Model      -1.11 
   5 Model      -1.06 
   6 Model      -0.669
   7 Model      -0.942
   8 Model      -0.952
   9 Model      -1.18 
  10 Model      -0.964
  # i 989 more rows

Code
  fortify(permu_prc)
Output
  # A tibble: 99 x 2
     term  permutation
     <fct>       <dbl>
   1 RDA1        -8.85
   2 RDA1       -10.1 
   3 RDA1        -8.94
   4 RDA1       -10.3 
   5 RDA1        -4.29
   6 RDA1        -6.42
   7 RDA1        -8.04
   8 RDA1        -7.29
   9 RDA1        -9.48
  10 RDA1        -9.20
  # i 89 more rows

tidy works for permustats objects

Code
  tidy(permu_adonis)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model       -1.79
   2 Model       -2.17
   3 Model       -1.64
   4 Model       -2.01
   5 Model       -1.97
   6 Model       -1.62
   7 Model       -2.07
   8 Model       -1.70
   9 Model       -2.36
  10 Model       -1.73
  # i 989 more rows

Code
  tidy(permu_ano)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 R         -0.233 
   2 R         -0.362 
   3 R         -0.308 
   4 R         -0.315 
   5 R         -0.174 
   6 R         -0.205 
   7 R         -0.227 
   8 R         -0.312 
   9 R          0.0120
  10 R         -0.235 
  # i 989 more rows

Code
  tidy(permu_cca)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model      -0.263
   2 Model      -0.757
   3 Model      -0.629
   4 Model      -0.721
   5 Model      -0.638
   6 Model      -0.606
   7 Model      -0.685
   8 Model      -0.670
   9 Model      -0.840
  10 Model      -0.617
  # i 989 more rows

Code
  tidy(permu_rda)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model      -0.619
   2 Model      -0.949
   3 Model      -0.925
   4 Model      -1.11 
   5 Model      -1.06 
   6 Model      -0.669
   7 Model      -0.942
   8 Model      -0.952
   9 Model      -1.18 
  10 Model      -0.964
  # i 989 more rows

Code
  tidy(permu_prc)
Output
  # A tibble: 99 x 2
     term  permutation
     <fct>       <dbl>
   1 RDA1        -8.85
   2 RDA1       -10.1 
   3 RDA1        -8.94
   4 RDA1       -10.3 
   5 RDA1        -4.29
   6 RDA1        -6.42
   7 RDA1        -8.04
   8 RDA1        -7.29
   9 RDA1        -9.48
  10 RDA1        -9.20
  # i 89 more rows

tidy works for permustats objects with scale

Code
  fortify(permu_cca, scale = TRUE)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model       -1.44
   2 Model       -4.13
   3 Model       -3.43
   4 Model       -3.93
   5 Model       -3.48
   6 Model       -3.31
   7 Model       -3.73
   8 Model       -3.65
   9 Model       -4.58
  10 Model       -3.36
  # i 989 more rows

Code
  tidy(permu_cca, scale = TRUE)
Output
  # A tibble: 999 x 2
     term  permutation
     <fct>       <dbl>
   1 Model       -1.44
   2 Model       -4.13
   3 Model       -3.43
   4 Model       -3.93
   5 Model       -3.48
   6 Model       -3.31
   7 Model       -3.73
   8 Model       -3.65
   9 Model       -4.58
  10 Model       -3.36
  # i 989 more rows