analysis/reports/submission2/manuscript_main_rev.md
In diazrenata/scadsanalysis: What the Package Does (One Line, Title Case)
Figures and results for main manuscript
Renata Diaz
2021-05-09
- Datasets by S and N (Figure 1)
- Illustrations of 95% interval (Figure
2)
- Dissimilarity (Supplement)
- Metric histograms by dataset (Figure
3)
- Results table
- Narrowness
- Very small communities
- Resampling
Datasets by S and N (Figure 1)
Illustrations of 95% interval (Figure 2)
To show the 95% interval, we need to load the distribution of shape
metric values from the samples from the feasible set for a few
communities. See rov_metric.md.
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## Warning: Removed 3 row(s) containing missing values (geom_path).
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## Warning: Removed 1 row(s) containing missing values (geom_path).
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## [1] 6.6e+70
## [1] 1.001277e+12
## [1] 297
Dissimilarity (Supplement)
Metric histograms by dataset (Figure 3)
## TableGrob (3 x 4) "arrange": 7 grobs
## z cells name grob
## 1 1 (1-1,2-2) arrange gtable[layout]
## 2 2 (1-1,3-3) arrange gtable[layout]
## 3 3 (1-1,4-4) arrange gtable[layout]
## 4 4 (2-2,2-2) arrange gtable[layout]
## 5 5 (2-2,3-3) arrange gtable[layout]
## 6 6 (3-3,2-4) arrange text[GRID.text.1674]
## 7 7 (1-3,1-1) arrange text[GRID.text.1675]
Results table
## Joining, by = "Dataset"
## Joining, by = "Dataset"
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(cols1)` instead of `cols1` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
| Dataset | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | 23%; n = 2773 | 4.5%; n = 2773 | 9%; n = 2773 | 21%; n = 2773 | 23%; n = 2773 |
| FIA | 7.2%; n = 18447 | 1.4%; n = 17410 | 2.8%; n = 17410 | 5.8%; n = 17410 | 5.5%; n = 17410 |
| Gentry | 34%; n = 224 | 0.9%; n = 223 | 11%; n = 223 | 9.9%; n = 223 | 7.6%; n = 223 |
| Mammal Communities | 32%; n = 552 | 13%; n = 511 | 12%; n = 505 | 28%; n = 511 | 30%; n = 511 |
| Misc. Abundance | 59%; n = 494 | 27%; n = 486 | 27%; n = 484 | 53%; n = 486 | 56%; n = 486 |
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(cols2)` instead of `cols2` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
| Dataset | Low proportion of rare species | Low skew | High Simpson | High Shannon |
| :------------------- | :----------------------------- | :--------------- | :---------------- | :---------------- |
| Breeding Bird Survey | 0%; n = 2773 | 1.1%; n = 2773 | 0.61%; n = 2773 | 0.36%; n = 2773 |
| FIA | 0%; n = 17410 | 0.28%; n = 17410 | 0.063%; n = 17410 | 0.086%; n = 17410 |
| Gentry | 20%; n = 223 | 8.5%; n = 223 | 22%; n = 223 | 25%; n = 223 |
| Mammal Communities | 0%; n = 511 | 0.79%; n = 505 | 0.59%; n = 511 | 0.39%; n = 511 |
| Misc. Abundance | 0%; n = 486 | 0.21%; n = 484 | 0.21%; n = 486 | 0.21%; n = 486 |
Narrowness
## Warning: Removed 8 rows containing missing values (geom_point).
Very small communities
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## Joining, by = c("Dataset", "Number of elements")
## Joining, by = c("Dataset", "Number of elements")
| Dataset | Number of elements | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :--------------------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | Less than 2000 possible SADs | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 |
| Breeding Bird Survey | More than 2000 possible SADs | 23%; n = 2772 | 4.5%; n = 2772 | 9%; n = 2772 | 21%; n = 2772 | 23%; n = 2772 |
| FIA | Less than 2000 possible SADs | 5.3%; n = 12553 | 1.2%; n = 11516 | 1.2%; n = 11516 | 3.9%; n = 11516 | 3.6%; n = 11516 |
| FIA | More than 2000 possible SADs | 11%; n = 5894 | 1.7%; n = 5894 | 6%; n = 5894 | 9.5%; n = 5894 | 9%; n = 5894 |
| Gentry | Less than 2000 possible SADs | 0%; n = 1 | NA | NA | NA | NA |
| Gentry | More than 2000 possible SADs | 34%; n = 223 | 0.9%; n = 223 | 11%; n = 223 | 9.9%; n = 223 | 7.6%; n = 223 |
| Mammal Communities | Less than 2000 possible SADs | 12%; n = 193 | 4.6%; n = 152 | 1.4%; n = 146 | 12%; n = 152 | 12%; n = 152 |
| Mammal Communities | More than 2000 possible SADs | 42%; n = 359 | 16%; n = 359 | 17%; n = 359 | 35%; n = 359 | 38%; n = 359 |
| Misc. Abundance | Less than 2000 possible SADs | 11%; n = 38 | 6.7%; n = 30 | 7.1%; n = 28 | 10%; n = 30 | 10%; n = 30 |
| Misc. Abundance | More than 2000 possible SADs | 63%; n = 456 | 29%; n = 456 | 29%; n = 456 | 56%; n = 456 | 59%; n = 456 |
| Dataset | Proportion with nparts \< 2000 |
| :----------------- | -----------------------------: |
| FIA | 0.6804901 |
| Mammal Communities | 0.3496377 |
| Misc. Abundance | 0.0769231 |
## Warning: Removed 14 rows containing non-finite values (stat_bin).
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
## 1 1 (1-1,1-1) arrange gtable[layout]
## 2 2 (2-2,1-1) arrange gtable[layout]
Resampling
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Warning: Unknown or uninitialised column: `njks_skew`.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## Joining, by = c("Dataset", "resampling")
| Dataset | Resampling scheme | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :---------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | Raw | 23%; n =2773 | 4.5%; n =2773 | 9%; n = 2773 | 21%; n = 2773 | 23%; n = 2773 |
| Breeding Bird Survey | Subsampling | 16%; n =300 | 1%; n =300 | 7.3%; n = 300 | 13%; n = 300 | 15%; n = 300 |
| Breeding Bird Survey | Rare species | 29%; n =2773 | 18%; n =2773 | 9.4%; n = 2773 | 26%; n = 2773 | 30%; n = 2773 |
| FIA | Raw | 7.4%; n =17410 | 1.3%; n =18447 | 2.6%; n = 18447 | 5.4%; n = 18447 | 5.1%; n = 18447 |
| FIA | Subsampling | 3.8%; n =1118 | 0.072%; n =1388 | 0.58%; n = 1388 | 2.5%; n = 1388 | 2.4%; n = 1388 |
| FIA | Rare species | 12%; n =17918 | 5.4%; n =18736 | 5.4%; n = 18736 | 10%; n = 18736 | 11%; n = 18736 |
| Gentry | Raw | 34%; n =223 | 0.89%; n =224 | 11%; n = 223 | 9.8%; n = 224 | 7.6%; n = 224 |
| Gentry | Subsampling | 17%; n =223 | 0%; n =224 | 5.8%; n = 223 | 5.8%; n = 224 | 5.4%; n = 224 |
| Gentry | Rare species | 33%; n =223 | 4%; n =224 | 12%; n = 223 | 13%; n = 224 | 13%; n = 224 |
| Mammal Communities | Raw | 34%; n =511 | 12%; n =552 | 11%; n = 540 | 26%; n = 552 | 28%; n = 552 |
| Mammal Communities | Subsampling | 27%; n =432 | 3.2%; n =473 | 8.9%; n = 471 | 19%; n = 473 | 21%; n = 473 |
| Mammal Communities | Rare species | 50%; n =555 | 31%; n =594 | 18%; n = 592 | 40%; n = 594 | 44%; n = 594 |
| Misc. Abundance | Raw | 60%; n =486 | 27%; n =494 | 27%; n = 492 | 53%; n = 494 | 55%; n = 494 |
| Misc. Abundance | Subsampling | 49%; n =474 | 16%; n =479 | 22%; n = 477 | 43%; n = 479 | 48%; n = 479 |
| Misc. Abundance | Rare species | 67%; n =488 | 50%; n =496 | 33%; n = 494 | 61%; n = 496 | 64%; n = 496 |
| Dataset | Resampling scheme | Low proportion of rare species | Low skew | High Simpson | High Shannon |
| :------------------- | :---------------- | :----------------------------- | :---------------- | :---------------- | :---------------- |
| Breeding Bird Survey | Raw | 0%; n =2773 | 1.1%; n = 2773 | 0.61%; n = 2773 | 0.36%; n = 2773 |
| Breeding Bird Survey | Subsampling | 0%; n =300 | 1%; n = 300 | 2.3%; n = 300 | 2%; n = 300 |
| Breeding Bird Survey | Rare species | 0%; n =2773 | 0.83%; n = 2773 | 0.22%; n = 2773 | 0.036%; n = 2773 |
| FIA | Raw | 0%; n =18447 | 0.27%; n = 18447 | 0.06%; n = 18447 | 0.081%; n = 18447 |
| FIA | Subsampling | 0%; n =1388 | 0%; n = 1388 | 0%; n = 1388 | 0%; n = 1388 |
| FIA | Rare species | 0%; n =18736 | 0.096%; n = 18736 | 0.011%; n = 18736 | 0.021%; n = 18736 |
| Gentry | Raw | 20%; n =224 | 8.5%; n = 223 | 21%; n = 224 | 25%; n = 224 |
| Gentry | Subsampling | 11%; n =224 | 4.5%; n = 223 | 16%; n = 224 | 18%; n = 224 |
| Gentry | Rare species | 18%; n =224 | 8.1%; n = 223 | 22%; n = 224 | 23%; n = 224 |
| Mammal Communities | Raw | 0%; n =552 | 0.74%; n = 540 | 0.54%; n = 552 | 0.36%; n = 552 |
| Mammal Communities | Subsampling | 0%; n =473 | 0%; n = 471 | 0.21%; n = 473 | 0.21%; n = 473 |
| Mammal Communities | Rare species | 0%; n =594 | 0.34%; n = 592 | 0.17%; n = 594 | 0.17%; n = 594 |
| Misc. Abundance | Raw | 0%; n =494 | 0.2%; n = 492 | 0.2%; n = 494 | 0.2%; n = 494 |
| Misc. Abundance | Subsampling | 0%; n =479 | 0%; n = 477 | 0.21%; n = 479 | 0.21%; n = 479 |
| Misc. Abundance | Rare species | 0%; n =496 | 0.2%; n = 494 | 0.2%; n = 496 | 0.2%; n = 496 |
## Joining, by = "ometric2"
diazrenata/scadsanalysis documentation built on May 14, 2021, 6:59 p.m.
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We want your feedback!
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Figures and results for main manuscript
Renata Diaz 2021-05-09
- Datasets by S and N (Figure 1)
- Illustrations of 95% interval (Figure 2)
- Dissimilarity (Supplement)
- Metric histograms by dataset (Figure 3)
- Results table
- Narrowness
- Very small communities
- Resampling
Datasets by S and N (Figure 1)
Illustrations of 95% interval (Figure 2)
To show the 95% interval, we need to load the distribution of shape metric values from the samples from the feasible set for a few communities. See rov_metric.md.
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("dat", "site", "s0", "n0", "nparts")
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## Warning: Removed 3 row(s) containing missing values (geom_path).
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## Warning: Removed 1 row(s) containing missing values (geom_path).
## Warning: Removed 1 rows containing non-finite values (stat_bin).
## [1] 6.6e+70
## [1] 1.001277e+12
## [1] 297
Dissimilarity (Supplement)
Metric histograms by dataset (Figure 3)
## TableGrob (3 x 4) "arrange": 7 grobs
## z cells name grob
## 1 1 (1-1,2-2) arrange gtable[layout]
## 2 2 (1-1,3-3) arrange gtable[layout]
## 3 3 (1-1,4-4) arrange gtable[layout]
## 4 4 (2-2,2-2) arrange gtable[layout]
## 5 5 (2-2,3-3) arrange gtable[layout]
## 6 6 (3-3,2-4) arrange text[GRID.text.1674]
## 7 7 (1-3,1-1) arrange text[GRID.text.1675]
Results table
## Joining, by = "Dataset"
## Joining, by = "Dataset"
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(cols1)` instead of `cols1` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
| Dataset | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | 23%; n = 2773 | 4.5%; n = 2773 | 9%; n = 2773 | 21%; n = 2773 | 23%; n = 2773 |
| FIA | 7.2%; n = 18447 | 1.4%; n = 17410 | 2.8%; n = 17410 | 5.8%; n = 17410 | 5.5%; n = 17410 |
| Gentry | 34%; n = 224 | 0.9%; n = 223 | 11%; n = 223 | 9.9%; n = 223 | 7.6%; n = 223 |
| Mammal Communities | 32%; n = 552 | 13%; n = 511 | 12%; n = 505 | 28%; n = 511 | 30%; n = 511 |
| Misc. Abundance | 59%; n = 494 | 27%; n = 486 | 27%; n = 484 | 53%; n = 486 | 56%; n = 486 |
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(cols2)` instead of `cols2` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
| Dataset | Low proportion of rare species | Low skew | High Simpson | High Shannon |
| :------------------- | :----------------------------- | :--------------- | :---------------- | :---------------- |
| Breeding Bird Survey | 0%; n = 2773 | 1.1%; n = 2773 | 0.61%; n = 2773 | 0.36%; n = 2773 |
| FIA | 0%; n = 17410 | 0.28%; n = 17410 | 0.063%; n = 17410 | 0.086%; n = 17410 |
| Gentry | 20%; n = 223 | 8.5%; n = 223 | 22%; n = 223 | 25%; n = 223 |
| Mammal Communities | 0%; n = 511 | 0.79%; n = 505 | 0.59%; n = 511 | 0.39%; n = 511 |
| Misc. Abundance | 0%; n = 486 | 0.21%; n = 484 | 0.21%; n = 486 | 0.21%; n = 486 |
Narrowness
## Warning: Removed 8 rows containing missing values (geom_point).
Very small communities
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## Joining, by = c("Dataset", "Number of elements")
## Joining, by = c("Dataset", "Number of elements")
| Dataset | Number of elements | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :--------------------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | Less than 2000 possible SADs | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 | 0%; n = 1 |
| Breeding Bird Survey | More than 2000 possible SADs | 23%; n = 2772 | 4.5%; n = 2772 | 9%; n = 2772 | 21%; n = 2772 | 23%; n = 2772 |
| FIA | Less than 2000 possible SADs | 5.3%; n = 12553 | 1.2%; n = 11516 | 1.2%; n = 11516 | 3.9%; n = 11516 | 3.6%; n = 11516 |
| FIA | More than 2000 possible SADs | 11%; n = 5894 | 1.7%; n = 5894 | 6%; n = 5894 | 9.5%; n = 5894 | 9%; n = 5894 |
| Gentry | Less than 2000 possible SADs | 0%; n = 1 | NA | NA | NA | NA |
| Gentry | More than 2000 possible SADs | 34%; n = 223 | 0.9%; n = 223 | 11%; n = 223 | 9.9%; n = 223 | 7.6%; n = 223 |
| Mammal Communities | Less than 2000 possible SADs | 12%; n = 193 | 4.6%; n = 152 | 1.4%; n = 146 | 12%; n = 152 | 12%; n = 152 |
| Mammal Communities | More than 2000 possible SADs | 42%; n = 359 | 16%; n = 359 | 17%; n = 359 | 35%; n = 359 | 38%; n = 359 |
| Misc. Abundance | Less than 2000 possible SADs | 11%; n = 38 | 6.7%; n = 30 | 7.1%; n = 28 | 10%; n = 30 | 10%; n = 30 |
| Misc. Abundance | More than 2000 possible SADs | 63%; n = 456 | 29%; n = 456 | 29%; n = 456 | 56%; n = 456 | 59%; n = 456 |
| Dataset | Proportion with nparts \< 2000 |
| :----------------- | -----------------------------: |
| FIA | 0.6804901 |
| Mammal Communities | 0.3496377 |
| Misc. Abundance | 0.0769231 |
## Warning: Removed 14 rows containing non-finite values (stat_bin).
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
## 1 1 (1-1,1-1) arrange gtable[layout]
## 2 2 (2-2,1-1) arrange gtable[layout]
Resampling
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Joining, by = c("sim", "source", "dat", "site", "singletons", "s0", "n0", "nparts")
## Warning: Unknown or uninitialised column: `njks_skew`.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'Dataset'. You can override using the `.groups` argument.
## Joining, by = c("Dataset", "resampling")
| Dataset | Resampling scheme | High dissimilarity | High proportion of rare species | High skew | Low Simpson | Low Shannon |
| :------------------- | :---------------- | :----------------- | :------------------------------ | :-------------- | :-------------- | :-------------- |
| Breeding Bird Survey | Raw | 23%; n =2773 | 4.5%; n =2773 | 9%; n = 2773 | 21%; n = 2773 | 23%; n = 2773 |
| Breeding Bird Survey | Subsampling | 16%; n =300 | 1%; n =300 | 7.3%; n = 300 | 13%; n = 300 | 15%; n = 300 |
| Breeding Bird Survey | Rare species | 29%; n =2773 | 18%; n =2773 | 9.4%; n = 2773 | 26%; n = 2773 | 30%; n = 2773 |
| FIA | Raw | 7.4%; n =17410 | 1.3%; n =18447 | 2.6%; n = 18447 | 5.4%; n = 18447 | 5.1%; n = 18447 |
| FIA | Subsampling | 3.8%; n =1118 | 0.072%; n =1388 | 0.58%; n = 1388 | 2.5%; n = 1388 | 2.4%; n = 1388 |
| FIA | Rare species | 12%; n =17918 | 5.4%; n =18736 | 5.4%; n = 18736 | 10%; n = 18736 | 11%; n = 18736 |
| Gentry | Raw | 34%; n =223 | 0.89%; n =224 | 11%; n = 223 | 9.8%; n = 224 | 7.6%; n = 224 |
| Gentry | Subsampling | 17%; n =223 | 0%; n =224 | 5.8%; n = 223 | 5.8%; n = 224 | 5.4%; n = 224 |
| Gentry | Rare species | 33%; n =223 | 4%; n =224 | 12%; n = 223 | 13%; n = 224 | 13%; n = 224 |
| Mammal Communities | Raw | 34%; n =511 | 12%; n =552 | 11%; n = 540 | 26%; n = 552 | 28%; n = 552 |
| Mammal Communities | Subsampling | 27%; n =432 | 3.2%; n =473 | 8.9%; n = 471 | 19%; n = 473 | 21%; n = 473 |
| Mammal Communities | Rare species | 50%; n =555 | 31%; n =594 | 18%; n = 592 | 40%; n = 594 | 44%; n = 594 |
| Misc. Abundance | Raw | 60%; n =486 | 27%; n =494 | 27%; n = 492 | 53%; n = 494 | 55%; n = 494 |
| Misc. Abundance | Subsampling | 49%; n =474 | 16%; n =479 | 22%; n = 477 | 43%; n = 479 | 48%; n = 479 |
| Misc. Abundance | Rare species | 67%; n =488 | 50%; n =496 | 33%; n = 494 | 61%; n = 496 | 64%; n = 496 |
| Dataset | Resampling scheme | Low proportion of rare species | Low skew | High Simpson | High Shannon |
| :------------------- | :---------------- | :----------------------------- | :---------------- | :---------------- | :---------------- |
| Breeding Bird Survey | Raw | 0%; n =2773 | 1.1%; n = 2773 | 0.61%; n = 2773 | 0.36%; n = 2773 |
| Breeding Bird Survey | Subsampling | 0%; n =300 | 1%; n = 300 | 2.3%; n = 300 | 2%; n = 300 |
| Breeding Bird Survey | Rare species | 0%; n =2773 | 0.83%; n = 2773 | 0.22%; n = 2773 | 0.036%; n = 2773 |
| FIA | Raw | 0%; n =18447 | 0.27%; n = 18447 | 0.06%; n = 18447 | 0.081%; n = 18447 |
| FIA | Subsampling | 0%; n =1388 | 0%; n = 1388 | 0%; n = 1388 | 0%; n = 1388 |
| FIA | Rare species | 0%; n =18736 | 0.096%; n = 18736 | 0.011%; n = 18736 | 0.021%; n = 18736 |
| Gentry | Raw | 20%; n =224 | 8.5%; n = 223 | 21%; n = 224 | 25%; n = 224 |
| Gentry | Subsampling | 11%; n =224 | 4.5%; n = 223 | 16%; n = 224 | 18%; n = 224 |
| Gentry | Rare species | 18%; n =224 | 8.1%; n = 223 | 22%; n = 224 | 23%; n = 224 |
| Mammal Communities | Raw | 0%; n =552 | 0.74%; n = 540 | 0.54%; n = 552 | 0.36%; n = 552 |
| Mammal Communities | Subsampling | 0%; n =473 | 0%; n = 471 | 0.21%; n = 473 | 0.21%; n = 473 |
| Mammal Communities | Rare species | 0%; n =594 | 0.34%; n = 592 | 0.17%; n = 594 | 0.17%; n = 594 |
| Misc. Abundance | Raw | 0%; n =494 | 0.2%; n = 492 | 0.2%; n = 494 | 0.2%; n = 494 |
| Misc. Abundance | Subsampling | 0%; n =479 | 0%; n = 477 | 0.21%; n = 479 | 0.21%; n = 479 |
| Misc. Abundance | Rare species | 0%; n =496 | 0.2%; n = 494 | 0.2%; n = 496 | 0.2%; n = 496 |
## Joining, by = "ometric2"
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