analysis/reports/submission1/manuscript_main.md

Figures and results for main manuscript

Renata Diaz 2021-03-11

Illustrations of 95% interval (Figure 1)

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).

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## Warning: Removed 1 rows containing non-finite values (stat_bin).

Skewness and evenness histograms by dataset (Figure 2)

Breadth index by dataset (Figure 3)

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## Warning: Removed 10 rows containing missing values (geom_bar).

Comparison of FIA and comparably sized communities (Figure 4)

## Warning in ks.test(simpson_ks$simpson_95_ratio_1t_FIA,
## simpson_ks$`simpson_95_ratio_1t_Other datasets`): p-value will be approximate in
## the presence of ties

## Warning in ks.test(simpson_ks$simpson_percentile_FIA,
## simpson_ks$`simpson_percentile_Other datasets`): p-value will be approximate in
## the presence of ties

## 
##  Two-sample Kolmogorov-Smirnov test
## 
## data:  simpson_ks$simpson_95_ratio_1t_FIA and simpson_ks$`simpson_95_ratio_1t_Other datasets`
## D = 0.045455, p-value = 0.8849
## alternative hypothesis: two-sided

## 
##  Two-sample Kolmogorov-Smirnov test
## 
## data:  simpson_ks$simpson_percentile_FIA and simpson_ks$`simpson_percentile_Other datasets`
## D = 0.048485, p-value = 0.8327
## alternative hypothesis: two-sided

## Warning in ks.test(skewness_ks$skew_95_ratio_1t_FIA,
## skewness_ks$`skew_95_ratio_1t_Other datasets`): p-value will be approximate in
## the presence of ties

## Warning in ks.test(skewness_ks$skew_percentile_FIA,
## skewness_ks$`skew_percentile_Other datasets`): p-value will be approximate in
## the presence of ties

## 
##  Two-sample Kolmogorov-Smirnov test
## 
## data:  skewness_ks$skew_95_ratio_1t_FIA and skewness_ks$`skew_95_ratio_1t_Other datasets`
## D = 0.033333, p-value = 0.993
## alternative hypothesis: two-sided

## 
##  Two-sample Kolmogorov-Smirnov test
## 
## data:  skewness_ks$skew_percentile_FIA and skewness_ks$`skew_percentile_Other datasets`
## D = 0.090909, p-value = 0.1308
## alternative hypothesis: two-sided

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## Warning: Removed 1 rows containing non-finite values (stat_bin).

## 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).

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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diazrenata/scadsanalysis documentation built on May 14, 2021, 6:59 p.m.