eMLR - assumption testing

workflowr

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Last updated: 2021-08-02

Checks: 7 0

Knit directory: emlr_obs_v_XXX/

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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/eMLR_assumption_testing.Rmd) and HTML (docs/eMLR_assumption_testing.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File	Version	Author	Date	Message
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html	c0a47df	jens-daniel-mueller	2021-04-16	Build site.
html	50290e8	jens-daniel-mueller	2021-04-16	overlapping eras
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html	318609d	jens-daniel-mueller	2020-12-23	adapted more variable predictor selection
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Rmd	3d33a37	jens-daniel-mueller	2020-12-11	selectable basinmask, try 5
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Rmd	7a4b015	jens-daniel-mueller	2020-11-30	first rebuild on ETH server
Rmd	bc61ce3	Jens Müller	2020-11-30	Initial commit
html	bc61ce3	Jens Müller	2020-11-30	Initial commit

---

1 Version ID

The results displayed on this site correspond to the Version_ID: v_XXX

2 Required data

Required are:

• cleaned and prepared GLODAPv2.2020 file

GLODAP <-
  read_csv(paste(path_version_data,
                 "GLODAPv2.2020_MLR_fitting_ready.csv",
                 sep = ""))

3 Predictor correlation

The correlation between:

• pairs of seven potential predictor variables and
• C* and seven potential predictor variables

were investigated based on:

• property-property plots and
• calculated correlation coeffcients.

3.1 Correlation plots

For an overview, a random subset of data from all eras was plotted separately for both basins, with color indicating neutral density slabs (high density = dark-purple color).

plot_fun <- function(df){
  ggpairs(
    data = df,
    columns = c(params_local$MLR_target,
                params_local$MLR_predictors),
    upper = "blank",
    ggplot2::aes(col = gamma_slab, fill = gamma_slab, alpha = 0.01)
  ) +
    scale_fill_viridis_d(direction = -1) +
    scale_color_viridis_d(direction = -1) +
    labs(title = paste(
      "Basin:",
      unique(df$basin),
      "| era: all | random subsample:",
      nrow(df),
      "| data source:",
      unique(df$data_source)
    ))
}

GLODAP %>%
  slice_sample(n = 5e3) %>% 
  group_split(basin, data_source) %>%
  # head(1) %>% 
  map(plot_fun)

[[1]]

Past versions of predictor_correlation_per_basin-1.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
c18a8b1	jens-daniel-mueller	2021-07-09
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
3b6387f	jens-daniel-mueller	2021-06-18
c6b3da6	jens-daniel-mueller	2021-06-14
439ee80	jens-daniel-mueller	2021-06-11
33ffcab	jens-daniel-mueller	2021-06-10
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
69c79d0	jens-daniel-mueller	2021-06-08
1772903	jens-daniel-mueller	2021-06-07
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
2edc791	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
be90356	jens-daniel-mueller	2021-06-02
d37a85d	jens-daniel-mueller	2021-05-31
4b7a5ee	jens-daniel-mueller	2021-05-28
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
a00ec94	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
9f31fe3	jens-daniel-mueller	2021-04-13
ea17c90	jens-daniel-mueller	2021-04-09
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
ab5c8cf	jens-daniel-mueller	2021-03-24
03b6009	jens-daniel-mueller	2021-03-23
98d4a6d	jens-daniel-mueller	2021-03-23
83a13de	jens-daniel-mueller	2021-03-20
cf98c6d	jens-daniel-mueller	2021-03-16
a1d52ff	jens-daniel-mueller	2021-03-15
0bade3b	jens-daniel-mueller	2021-03-15
27c1f4b	jens-daniel-mueller	2021-03-14
af75ebf	jens-daniel-mueller	2021-03-14
5017709	jens-daniel-mueller	2021-03-11
585b07f	jens-daniel-mueller	2021-03-11
85a5ed2	jens-daniel-mueller	2021-03-10
6c0bec6	jens-daniel-mueller	2021-03-05
af70b94	jens-daniel-mueller	2021-03-04
7b672f7	jens-daniel-mueller	2021-01-11
33ba23c	jens-daniel-mueller	2021-01-07
318609d	jens-daniel-mueller	2020-12-23
9d0b2d0	jens-daniel-mueller	2020-12-23
0aa2b50	jens-daniel-mueller	2020-12-23
2886da0	jens-daniel-mueller	2020-12-19
02f0ee9	jens-daniel-mueller	2020-12-18
7bcb4eb	jens-daniel-mueller	2020-12-18
158fe26	jens-daniel-mueller	2020-12-15
7a9a4cb	jens-daniel-mueller	2020-12-15
61b263c	jens-daniel-mueller	2020-12-15
4d612dd	jens-daniel-mueller	2020-12-15
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11

[[2]]

Past versions of predictor_correlation_per_basin-2.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
c18a8b1	jens-daniel-mueller	2021-07-09
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
3b6387f	jens-daniel-mueller	2021-06-18
c6b3da6	jens-daniel-mueller	2021-06-14
439ee80	jens-daniel-mueller	2021-06-11
33ffcab	jens-daniel-mueller	2021-06-10
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
69c79d0	jens-daniel-mueller	2021-06-08
1772903	jens-daniel-mueller	2021-06-07
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
2edc791	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
d37a85d	jens-daniel-mueller	2021-05-31
4b7a5ee	jens-daniel-mueller	2021-05-28
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
a00ec94	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
9f31fe3	jens-daniel-mueller	2021-04-13
ea17c90	jens-daniel-mueller	2021-04-09
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
ab5c8cf	jens-daniel-mueller	2021-03-24
03b6009	jens-daniel-mueller	2021-03-23
98d4a6d	jens-daniel-mueller	2021-03-23
83a13de	jens-daniel-mueller	2021-03-20
cf98c6d	jens-daniel-mueller	2021-03-16
a1d52ff	jens-daniel-mueller	2021-03-15
0bade3b	jens-daniel-mueller	2021-03-15
27c1f4b	jens-daniel-mueller	2021-03-14
af75ebf	jens-daniel-mueller	2021-03-14
5017709	jens-daniel-mueller	2021-03-11
585b07f	jens-daniel-mueller	2021-03-11
85a5ed2	jens-daniel-mueller	2021-03-10
6c0bec6	jens-daniel-mueller	2021-03-05
af70b94	jens-daniel-mueller	2021-03-04
7b672f7	jens-daniel-mueller	2021-01-11
33ba23c	jens-daniel-mueller	2021-01-07
318609d	jens-daniel-mueller	2020-12-23
9d0b2d0	jens-daniel-mueller	2020-12-23
0aa2b50	jens-daniel-mueller	2020-12-23
2886da0	jens-daniel-mueller	2020-12-19
02f0ee9	jens-daniel-mueller	2020-12-18
7bcb4eb	jens-daniel-mueller	2020-12-18
158fe26	jens-daniel-mueller	2020-12-15
7a9a4cb	jens-daniel-mueller	2020-12-15
61b263c	jens-daniel-mueller	2020-12-15
4d612dd	jens-daniel-mueller	2020-12-15
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11

[[3]]

Past versions of predictor_correlation_per_basin-3.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
c18a8b1	jens-daniel-mueller	2021-07-09
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
3b6387f	jens-daniel-mueller	2021-06-18
c6b3da6	jens-daniel-mueller	2021-06-14
439ee80	jens-daniel-mueller	2021-06-11
33ffcab	jens-daniel-mueller	2021-06-10
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
69c79d0	jens-daniel-mueller	2021-06-08
1772903	jens-daniel-mueller	2021-06-07
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
2edc791	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
be90356	jens-daniel-mueller	2021-06-02
d37a85d	jens-daniel-mueller	2021-05-31
4b7a5ee	jens-daniel-mueller	2021-05-28
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
a00ec94	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
099d566	jens-daniel-mueller	2021-04-14
bb44686	jens-daniel-mueller	2021-04-14
bf40480	jens-daniel-mueller	2021-04-13
9f31fe3	jens-daniel-mueller	2021-04-13
ea17c90	jens-daniel-mueller	2021-04-09
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
ab5c8cf	jens-daniel-mueller	2021-03-24
0aa2b50	jens-daniel-mueller	2020-12-23
2886da0	jens-daniel-mueller	2020-12-19
02f0ee9	jens-daniel-mueller	2020-12-18
7bcb4eb	jens-daniel-mueller	2020-12-18
158fe26	jens-daniel-mueller	2020-12-15
7a9a4cb	jens-daniel-mueller	2020-12-15
61b263c	jens-daniel-mueller	2020-12-15
4d612dd	jens-daniel-mueller	2020-12-15
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11

[[4]]

Past versions of predictor_correlation_per_basin-4.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
c18a8b1	jens-daniel-mueller	2021-07-09
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
3b6387f	jens-daniel-mueller	2021-06-18
c6b3da6	jens-daniel-mueller	2021-06-14
439ee80	jens-daniel-mueller	2021-06-11
33ffcab	jens-daniel-mueller	2021-06-10
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
69c79d0	jens-daniel-mueller	2021-06-08
1772903	jens-daniel-mueller	2021-06-07
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
2edc791	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
d37a85d	jens-daniel-mueller	2021-05-31
4b7a5ee	jens-daniel-mueller	2021-05-28
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
a00ec94	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
099d566	jens-daniel-mueller	2021-04-14
bb44686	jens-daniel-mueller	2021-04-14
bf40480	jens-daniel-mueller	2021-04-13
9f31fe3	jens-daniel-mueller	2021-04-13
ea17c90	jens-daniel-mueller	2021-04-09
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
ab5c8cf	jens-daniel-mueller	2021-03-24
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11

GLODAP <- GLODAP %>%
  filter(data_source == "obs") %>%
  select(-data_source)

Individual correlation plots for each basin, era and neutral density (gamma) slab are available at:

/nfs/kryo/work/jenmueller/emlr_cant/observations/v_XXX/figures/Observations_correlation/

if (params_local$plot_all_figures == "y") {

for (i_basin in unique(GLODAP$basin)) {
  for (i_era in unique(GLODAP$era)) {
    # i_basin <- unique(GLODAP$basin)[1]
    # i_era   <- unique(GLODAP$era)[1]

    GLODAP_basin_era <- GLODAP %>%
      filter(basin == i_basin,
             era == i_era)
    
    for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
      # i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[5]

      GLODAP_highlight <- GLODAP_basin_era %>%
        mutate(gamma_highlight = if_else(gamma_slab == i_gamma_slab,
                                         "in", "out")) %>%
        arrange(desc(gamma_highlight))
      
      p <- GLODAP_highlight %>%
        ggpairs(
          columns = c(params_local$MLR_target,
                      params_local$MLR_predictors),
          ggplot2::aes(
            col = gamma_highlight,
            fill = gamma_highlight,
            alpha = 0.01
          )
        ) +
        scale_fill_manual(values = c("red", "grey")) +
        scale_color_manual(values = c("red", "grey")) +
        labs(
          title = paste(
            i_era,
            "|",
            i_basin,
            "| Gamma slab",
            i_gamma_slab,
            "| # obs total",
            nrow(GLODAP_basin_era),
            "| # obs slab",
            nrow(GLODAP_highlight %>%
                   filter(gamma_highlight == "in"))
          )
        )
      
      png(
        filename = paste(
          path_version_figures,
          "Observations_correlation/",
          paste(
            "Predictor_correlation",
            i_era,
            i_basin,
            i_gamma_slab,
            ".png",
            sep = "_"
          ),
          sep = ""),
        width = 12,
        height = 12,
        units = "in",
        res = 300
      )
      
      print(p)
      
      dev.off()
      
    }
  }
}

}

3.2 Correlation assesment

3.2.1 Calculation of correlation coeffcients

Correlation coefficients were calculated individually within each slabs, era and basin.

for (i_basin in unique(GLODAP$basin)) {
  for (i_era in unique(GLODAP$era)) {
    # i_basin <- unique(GLODAP$basin)[1]
    # i_era   <- unique(GLODAP$era)[1]
    
    GLODAP_basin_era <- GLODAP %>%
      filter(basin == i_basin,
             era == i_era) %>%
      select(basin,
             era,
             gamma_slab,
             params_local$MLR_target,
             params_local$MLR_predictors)
    
    for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
      # i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[5]
      print(i_gamma_slab)
      
      GLODAP_basin_era_slab <- GLODAP_basin_era %>%
        filter(gamma_slab == i_gamma_slab)
      
      # calculate correlation table
      cor_target_predictor_temp <- GLODAP_basin_era_slab %>%
        select(-c(basin, era, gamma_slab)) %>%
        correlate() %>%
        focus(params_local$MLR_target) %>%
        mutate(basin = i_basin,
               era = i_era,
               gamma_slab = i_gamma_slab)
      
      if (exists("cor_target_predictor")) {
        cor_target_predictor <-
          bind_rows(cor_target_predictor, cor_target_predictor_temp)
      }
      
      if (!exists("cor_target_predictor")) {
        cor_target_predictor <- cor_target_predictor_temp
      }
      
      
      cor_predictors_temp <- GLODAP_basin_era_slab %>%
        select(-c(basin, era, gamma_slab)) %>%
        correlate() %>%
        shave %>%
        stretch() %>%
        filter(!is.na(r),
               x != params_local$MLR_target,
               y != params_local$MLR_target) %>%
        mutate(pair = paste(x, y, sep = " + ")) %>%
        select(-c(x, y)) %>%
        mutate(basin = i_basin,
               era = i_era,
               gamma_slab = i_gamma_slab)
      
      if (exists("cor_predictors")) {
        cor_predictors <- bind_rows(cor_predictors, cor_predictors_temp)
      }
      
      if (!exists("cor_predictors")) {
        cor_predictors <- cor_predictors_temp
      }
      
      
      
    }
  }
}

rm(cor_predictors_temp, cor_target_predictor_temp,
   i_gamma_slab, i_era, i_basin,
   GLODAP_basin_era, GLODAP_basin_era_slab)

3.2.2 Predictor pairs

Below, the range of correlations coefficients for each predictor pair is plotted per basin (facet) and density slab (color). Note that the range indicates the min and max values of in total 3 calculated coefficients (one per era).

# calculate min, max, mean across all eras
cor_predictors_stats <- cor_predictors %>% 
  group_by(pair, basin, gamma_slab) %>% 
  summarise(mean_r = mean(r),
            min_r = min(r),
            max_r = max(r)) %>% 
  ungroup()

# plot figure
cor_predictors_stats %>% 
  mutate(pair = reorder(pair, mean_r)) %>%
  ggplot() +
  geom_vline(xintercept = c(-0.9, 0.9), col = "red") +
  geom_vline(xintercept = 0) +
  geom_linerange(
    aes(y = pair, xmin = min_r, xmax = max_r, col = gamma_slab),
    position = position_dodge(width = 0.6)) +
  facet_wrap(~basin) +
  scale_color_viridis_d(direction = -1) +
  labs(x = "correlation coefficient", y = "") +
  theme(legend.position = "top")

Past versions of correlation_predictor_pairs-1.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
d37a85d	jens-daniel-mueller	2021-05-31
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
099d566	jens-daniel-mueller	2021-04-14
bb44686	jens-daniel-mueller	2021-04-14
bf40480	jens-daniel-mueller	2021-04-13
9f31fe3	jens-daniel-mueller	2021-04-13
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
19faa17	jens-daniel-mueller	2021-03-24
03b6009	jens-daniel-mueller	2021-03-23
98d4a6d	jens-daniel-mueller	2021-03-23
f155edd	jens-daniel-mueller	2021-03-23
83a13de	jens-daniel-mueller	2021-03-20
cf98c6d	jens-daniel-mueller	2021-03-16
a1d52ff	jens-daniel-mueller	2021-03-15
0bade3b	jens-daniel-mueller	2021-03-15
27c1f4b	jens-daniel-mueller	2021-03-14
af75ebf	jens-daniel-mueller	2021-03-14
5017709	jens-daniel-mueller	2021-03-11
585b07f	jens-daniel-mueller	2021-03-11
85a5ed2	jens-daniel-mueller	2021-03-10
6c0bec6	jens-daniel-mueller	2021-03-05
7b672f7	jens-daniel-mueller	2021-01-11
33ba23c	jens-daniel-mueller	2021-01-07
318609d	jens-daniel-mueller	2020-12-23
9d0b2d0	jens-daniel-mueller	2020-12-23
0aa2b50	jens-daniel-mueller	2020-12-23
2886da0	jens-daniel-mueller	2020-12-19
02f0ee9	jens-daniel-mueller	2020-12-18
158fe26	jens-daniel-mueller	2020-12-15
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11
24a632f	jens-daniel-mueller	2020-12-07
6a8004b	jens-daniel-mueller	2020-12-07
70bf1a5	jens-daniel-mueller	2020-12-07
7555355	jens-daniel-mueller	2020-12-07
143d6fa	jens-daniel-mueller	2020-12-07
0ff728b	jens-daniel-mueller	2020-12-01
91435ae	jens-daniel-mueller	2020-12-01
196be51	jens-daniel-mueller	2020-11-30
bc61ce3	Jens Müller	2020-11-30

# print table
kable(cor_predictors_stats) %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

pair	basin	gamma_slab	mean_r	min_r	max_r
aou + nitrate	Atlantic	(-Inf,26]	0.9198513	0.9086529	0.9310496
aou + nitrate	Atlantic	(26,26.5]	0.9586280	0.9474128	0.9698433
aou + nitrate	Atlantic	(26.5,26.75]	0.9615992	0.9587711	0.9644273
aou + nitrate	Atlantic	(26.75,27]	0.8905795	0.8474933	0.9336656
aou + nitrate	Atlantic	(27,27.25]	0.8174170	0.7539354	0.8808987
aou + nitrate	Atlantic	(27.25,27.5]	0.7696548	0.7395636	0.7997460
aou + nitrate	Atlantic	(27.5,27.75]	0.8331829	0.8307772	0.8355887
aou + nitrate	Atlantic	(27.75,27.85]	0.8855114	0.8814237	0.8895990
aou + nitrate	Atlantic	(27.85,27.95]	0.8928996	0.8918144	0.8939848
aou + nitrate	Atlantic	(27.95,28.05]	0.8964577	0.8864625	0.9064529
aou + nitrate	Atlantic	(28.05,28.1]	0.9441032	0.9381481	0.9500582
aou + nitrate	Atlantic	(28.1,28.15]	0.9665112	0.9605719	0.9724506
aou + nitrate	Atlantic	(28.15,28.2]	0.9797718	0.9788614	0.9806822
aou + nitrate	Atlantic	(28.2, Inf]	0.8560012	0.8000012	0.9120013
aou + nitrate	Indo-Pacific	(-Inf,26]	0.9194192	0.8830846	0.9557537
aou + nitrate	Indo-Pacific	(26,26.5]	0.8762558	0.8705885	0.8819230
aou + nitrate	Indo-Pacific	(26.5,26.75]	0.8619986	0.8285416	0.8954555
aou + nitrate	Indo-Pacific	(26.75,27]	0.9209115	0.9207015	0.9211214
aou + nitrate	Indo-Pacific	(27,27.25]	0.9429842	0.9326037	0.9533647
aou + nitrate	Indo-Pacific	(27.25,27.5]	0.9457950	0.9246357	0.9669543
aou + nitrate	Indo-Pacific	(27.5,27.75]	0.9470127	0.9256712	0.9683542
aou + nitrate	Indo-Pacific	(27.75,27.85]	0.9619442	0.9477663	0.9761220
aou + nitrate	Indo-Pacific	(27.85,27.95]	0.9576397	0.9503893	0.9648901
aou + nitrate	Indo-Pacific	(27.95,28.05]	0.9439928	0.9411956	0.9467900
aou + nitrate	Indo-Pacific	(28.05,28.1]	0.9535432	0.9432193	0.9638672
aou + nitrate	Indo-Pacific	(28.1,28.2]	0.9376092	0.9215903	0.9536282
aou + nitrate	Indo-Pacific	(28.2,28.3]	0.3573710	0.3191430	0.3955989
aou + nitrate	Indo-Pacific	(28.3,28.4]	0.5056351	0.4375552	0.5737150
aou + nitrate	Indo-Pacific	(28.4, Inf]	0.8119134	0.7377895	0.8860373
aou + oxygen	Atlantic	(-Inf,26]	-0.9420109	-0.9482976	-0.9357241
aou + oxygen	Atlantic	(26,26.5]	-0.9575771	-0.9636520	-0.9515022
aou + oxygen	Atlantic	(26.5,26.75]	-0.9674057	-0.9688484	-0.9659630
aou + oxygen	Atlantic	(26.75,27]	-0.9477317	-0.9656141	-0.9298494
aou + oxygen	Atlantic	(27,27.25]	-0.9541780	-0.9627650	-0.9455910
aou + oxygen	Atlantic	(27.25,27.5]	-0.9428859	-0.9508664	-0.9349054
aou + oxygen	Atlantic	(27.5,27.75]	-0.9196205	-0.9223327	-0.9169084
aou + oxygen	Atlantic	(27.75,27.85]	-0.9274547	-0.9289602	-0.9259492
aou + oxygen	Atlantic	(27.85,27.95]	-0.9521324	-0.9525396	-0.9517252
aou + oxygen	Atlantic	(27.95,28.05]	-0.9531469	-0.9549402	-0.9513535
aou + oxygen	Atlantic	(28.05,28.1]	-0.9731119	-0.9750118	-0.9712121
aou + oxygen	Atlantic	(28.1,28.15]	-0.9867043	-0.9871193	-0.9862894
aou + oxygen	Atlantic	(28.15,28.2]	-0.9929516	-0.9934214	-0.9924818
aou + oxygen	Atlantic	(28.2, Inf]	-0.9791577	-0.9819860	-0.9763295
aou + oxygen	Indo-Pacific	(-Inf,26]	-0.9214095	-0.9554355	-0.8873835
aou + oxygen	Indo-Pacific	(26,26.5]	-0.9755431	-0.9817979	-0.9692883
aou + oxygen	Indo-Pacific	(26.5,26.75]	-0.9744818	-0.9809647	-0.9679988
aou + oxygen	Indo-Pacific	(26.75,27]	-0.9816058	-0.9821127	-0.9810988
aou + oxygen	Indo-Pacific	(27,27.25]	-0.9909928	-0.9926317	-0.9893540
aou + oxygen	Indo-Pacific	(27.25,27.5]	-0.9925048	-0.9947617	-0.9902479
aou + oxygen	Indo-Pacific	(27.5,27.75]	-0.9922409	-0.9945627	-0.9899191
aou + oxygen	Indo-Pacific	(27.75,27.85]	-0.9939489	-0.9952745	-0.9926234
aou + oxygen	Indo-Pacific	(27.85,27.95]	-0.9928673	-0.9934107	-0.9923238
aou + oxygen	Indo-Pacific	(27.95,28.05]	-0.9926772	-0.9936617	-0.9916927
aou + oxygen	Indo-Pacific	(28.05,28.1]	-0.9953818	-0.9969232	-0.9938403
aou + oxygen	Indo-Pacific	(28.1,28.2]	-0.9948498	-0.9961235	-0.9935760
aou + oxygen	Indo-Pacific	(28.2,28.3]	-0.9803018	-0.9805015	-0.9801021
aou + oxygen	Indo-Pacific	(28.3,28.4]	-0.9979553	-0.9983225	-0.9975882
aou + oxygen	Indo-Pacific	(28.4, Inf]	-0.9929367	-0.9998086	-0.9860649
aou + silicate	Atlantic	(-Inf,26]	0.5032798	0.4247549	0.5818046
aou + silicate	Atlantic	(26,26.5]	0.7923771	0.7205094	0.8642448
aou + silicate	Atlantic	(26.5,26.75]	0.8579637	0.8109679	0.9049595
aou + silicate	Atlantic	(26.75,27]	0.8198701	0.7555837	0.8841565
aou + silicate	Atlantic	(27,27.25]	0.7014809	0.5974811	0.8054807
aou + silicate	Atlantic	(27.25,27.5]	0.4980658	0.4202602	0.5758713
aou + silicate	Atlantic	(27.5,27.75]	0.5079832	0.5036516	0.5123149
aou + silicate	Atlantic	(27.75,27.85]	0.7153062	0.6868714	0.7437410
aou + silicate	Atlantic	(27.85,27.95]	0.7977642	0.7926913	0.8028372
aou + silicate	Atlantic	(27.95,28.05]	0.8750975	0.8658375	0.8843575
aou + silicate	Atlantic	(28.05,28.1]	0.9479144	0.9408242	0.9550046
aou + silicate	Atlantic	(28.1,28.15]	0.9669788	0.9639739	0.9699837
aou + silicate	Atlantic	(28.15,28.2]	0.9796126	0.9795287	0.9796964
aou + silicate	Atlantic	(28.2, Inf]	0.8985625	0.8707410	0.9263840
aou + silicate	Indo-Pacific	(-Inf,26]	0.7420862	0.6840850	0.8000874
aou + silicate	Indo-Pacific	(26,26.5]	0.6133488	0.6026557	0.6240418
aou + silicate	Indo-Pacific	(26.5,26.75]	0.5763078	0.5570516	0.5955640
aou + silicate	Indo-Pacific	(26.75,27]	0.7489299	0.7220956	0.7757641
aou + silicate	Indo-Pacific	(27,27.25]	0.8673437	0.8436827	0.8910048
aou + silicate	Indo-Pacific	(27.25,27.5]	0.8970662	0.8746000	0.9195323
aou + silicate	Indo-Pacific	(27.5,27.75]	0.9009030	0.8710484	0.9307577
aou + silicate	Indo-Pacific	(27.75,27.85]	0.9511017	0.9428061	0.9593972
aou + silicate	Indo-Pacific	(27.85,27.95]	0.9461582	0.9431618	0.9491545
aou + silicate	Indo-Pacific	(27.95,28.05]	0.9457705	0.9447302	0.9468108
aou + silicate	Indo-Pacific	(28.05,28.1]	0.9647985	0.9588744	0.9707226
aou + silicate	Indo-Pacific	(28.1,28.2]	0.9164673	0.9029864	0.9299481
aou + silicate	Indo-Pacific	(28.2,28.3]	0.4157509	0.3777609	0.4537410
aou + silicate	Indo-Pacific	(28.3,28.4]	0.6378541	0.6162155	0.6594928
aou + silicate	Indo-Pacific	(28.4, Inf]	0.8849142	0.7839632	0.9858653
nitrate + silicate	Atlantic	(-Inf,26]	0.6282652	0.5905012	0.6660291
nitrate + silicate	Atlantic	(26,26.5]	0.8820904	0.8487975	0.9153834
nitrate + silicate	Atlantic	(26.5,26.75]	0.9201192	0.8846113	0.9556271
nitrate + silicate	Atlantic	(26.75,27]	0.8949041	0.8404848	0.9493235
nitrate + silicate	Atlantic	(27,27.25]	0.8993915	0.8632672	0.9355158
nitrate + silicate	Atlantic	(27.25,27.5]	0.8609220	0.8391199	0.8827242
nitrate + silicate	Atlantic	(27.5,27.75]	0.8428183	0.8397095	0.8459271
nitrate + silicate	Atlantic	(27.75,27.85]	0.9204555	0.9110957	0.9298152
nitrate + silicate	Atlantic	(27.85,27.95]	0.9623913	0.9591937	0.9655889
nitrate + silicate	Atlantic	(27.95,28.05]	0.9806158	0.9799775	0.9812540
nitrate + silicate	Atlantic	(28.05,28.1]	0.9882504	0.9879636	0.9885372
nitrate + silicate	Atlantic	(28.1,28.15]	0.9895968	0.9894435	0.9897500
nitrate + silicate	Atlantic	(28.15,28.2]	0.9881907	0.9863769	0.9900044
nitrate + silicate	Atlantic	(28.2, Inf]	0.9675995	0.9510168	0.9841821
nitrate + silicate	Indo-Pacific	(-Inf,26]	0.8756872	0.8738420	0.8775324
nitrate + silicate	Indo-Pacific	(26,26.5]	0.8164395	0.7966576	0.8362214
nitrate + silicate	Indo-Pacific	(26.5,26.75]	0.8209746	0.8022939	0.8396553
nitrate + silicate	Indo-Pacific	(26.75,27]	0.8481787	0.8316007	0.8647568
nitrate + silicate	Indo-Pacific	(27,27.25]	0.8866738	0.8643181	0.9090296
nitrate + silicate	Indo-Pacific	(27.25,27.5]	0.8825076	0.8572384	0.9077768
nitrate + silicate	Indo-Pacific	(27.5,27.75]	0.8788730	0.8500713	0.9076747
nitrate + silicate	Indo-Pacific	(27.75,27.85]	0.9437043	0.9325220	0.9548866
nitrate + silicate	Indo-Pacific	(27.85,27.95]	0.9559430	0.9463612	0.9655248
nitrate + silicate	Indo-Pacific	(27.95,28.05]	0.9466067	0.9434472	0.9497661
nitrate + silicate	Indo-Pacific	(28.05,28.1]	0.9482218	0.9460988	0.9503448
nitrate + silicate	Indo-Pacific	(28.1,28.2]	0.9234707	0.9016004	0.9453410
nitrate + silicate	Indo-Pacific	(28.2,28.3]	0.4364694	0.4222213	0.4507175
nitrate + silicate	Indo-Pacific	(28.3,28.4]	0.5513446	0.5089267	0.5937624
nitrate + silicate	Indo-Pacific	(28.4, Inf]	0.8176093	0.7801332	0.8550855
oxygen + nitrate	Atlantic	(-Inf,26]	-0.8491868	-0.8531169	-0.8452568
oxygen + nitrate	Atlantic	(26,26.5]	-0.8548873	-0.8893258	-0.8204489
oxygen + nitrate	Atlantic	(26.5,26.75]	-0.8764087	-0.8836949	-0.8691225
oxygen + nitrate	Atlantic	(26.75,27]	-0.7554142	-0.8343022	-0.6765262
oxygen + nitrate	Atlantic	(27,27.25]	-0.6487334	-0.7508446	-0.5466222
oxygen + nitrate	Atlantic	(27.25,27.5]	-0.5425094	-0.5966541	-0.4883647
oxygen + nitrate	Atlantic	(27.5,27.75]	-0.5723014	-0.5733305	-0.5712723
oxygen + nitrate	Atlantic	(27.75,27.85]	-0.6598119	-0.6642069	-0.6554170
oxygen + nitrate	Atlantic	(27.85,27.95]	-0.7215257	-0.7231856	-0.7198658
oxygen + nitrate	Atlantic	(27.95,28.05]	-0.7317590	-0.7518132	-0.7117048
oxygen + nitrate	Atlantic	(28.05,28.1]	-0.8524361	-0.8658840	-0.8389883
oxygen + nitrate	Atlantic	(28.1,28.15]	-0.9189892	-0.9287170	-0.9092614
oxygen + nitrate	Atlantic	(28.15,28.2]	-0.9638954	-0.9646620	-0.9631288
oxygen + nitrate	Atlantic	(28.2, Inf]	-0.7558256	-0.8430496	-0.6686017
oxygen + nitrate	Indo-Pacific	(-Inf,26]	-0.7387169	-0.8594009	-0.6180330
oxygen + nitrate	Indo-Pacific	(26,26.5]	-0.7673694	-0.7972250	-0.7375139
oxygen + nitrate	Indo-Pacific	(26.5,26.75]	-0.7390385	-0.8048595	-0.6732176
oxygen + nitrate	Indo-Pacific	(26.75,27]	-0.8398764	-0.8430165	-0.8367363
oxygen + nitrate	Indo-Pacific	(27,27.25]	-0.8993521	-0.9170234	-0.8816807
oxygen + nitrate	Indo-Pacific	(27.25,27.5]	-0.9099407	-0.9448172	-0.8750643
oxygen + nitrate	Indo-Pacific	(27.5,27.75]	-0.9146231	-0.9494068	-0.8798394
oxygen + nitrate	Indo-Pacific	(27.75,27.85]	-0.9370353	-0.9596406	-0.9144299
oxygen + nitrate	Indo-Pacific	(27.85,27.95]	-0.9268788	-0.9363998	-0.9173578
oxygen + nitrate	Indo-Pacific	(27.95,28.05]	-0.9073205	-0.9133747	-0.9012663
oxygen + nitrate	Indo-Pacific	(28.05,28.1]	-0.9295800	-0.9457663	-0.9133937
oxygen + nitrate	Indo-Pacific	(28.1,28.2]	-0.9099197	-0.9302665	-0.8895729
oxygen + nitrate	Indo-Pacific	(28.2,28.3]	-0.2558723	-0.3016469	-0.2100977
oxygen + nitrate	Indo-Pacific	(28.3,28.4]	-0.5043213	-0.5806912	-0.4279514
oxygen + nitrate	Indo-Pacific	(28.4, Inf]	-0.8246331	-0.8864792	-0.7627870
oxygen + silicate	Atlantic	(-Inf,26]	-0.3563508	-0.4472199	-0.2654817
oxygen + silicate	Atlantic	(26,26.5]	-0.6341471	-0.7434694	-0.5248248
oxygen + silicate	Atlantic	(26.5,26.75]	-0.7345716	-0.7946976	-0.6744456
oxygen + silicate	Atlantic	(26.75,27]	-0.6417705	-0.7565585	-0.5269825
oxygen + silicate	Atlantic	(27,27.25]	-0.5073279	-0.6488303	-0.3658255
oxygen + silicate	Atlantic	(27.25,27.5]	-0.2245529	-0.3293687	-0.1197372
oxygen + silicate	Atlantic	(27.5,27.75]	-0.1767460	-0.1794092	-0.1740827
oxygen + silicate	Atlantic	(27.75,27.85]	-0.4477257	-0.4824398	-0.4130116
oxygen + silicate	Atlantic	(27.85,27.95]	-0.5915783	-0.5972246	-0.5859320
oxygen + silicate	Atlantic	(27.95,28.05]	-0.6974313	-0.7156324	-0.6792303
oxygen + silicate	Atlantic	(28.05,28.1]	-0.8585193	-0.8730876	-0.8439510
oxygen + silicate	Atlantic	(28.1,28.15]	-0.9206883	-0.9278612	-0.9135155
oxygen + silicate	Atlantic	(28.15,28.2]	-0.9700029	-0.9705222	-0.9694836
oxygen + silicate	Atlantic	(28.2, Inf]	-0.8179601	-0.8686214	-0.7672988
oxygen + silicate	Indo-Pacific	(-Inf,26]	-0.5273087	-0.6846414	-0.3699760
oxygen + silicate	Indo-Pacific	(26,26.5]	-0.4648354	-0.4801980	-0.4494728
oxygen + silicate	Indo-Pacific	(26.5,26.75]	-0.4055799	-0.4565999	-0.3545599
oxygen + silicate	Indo-Pacific	(26.75,27]	-0.6311576	-0.6595161	-0.6027991
oxygen + silicate	Indo-Pacific	(27,27.25]	-0.8073848	-0.8393053	-0.7754642
oxygen + silicate	Indo-Pacific	(27.25,27.5]	-0.8500358	-0.8830004	-0.8170712
oxygen + silicate	Indo-Pacific	(27.5,27.75]	-0.8536633	-0.8972941	-0.8100324
oxygen + silicate	Indo-Pacific	(27.75,27.85]	-0.9211417	-0.9353873	-0.9068961
oxygen + silicate	Indo-Pacific	(27.85,27.95]	-0.9107638	-0.9150758	-0.9064518
oxygen + silicate	Indo-Pacific	(27.95,28.05]	-0.9104666	-0.9143177	-0.9066155
oxygen + silicate	Indo-Pacific	(28.05,28.1]	-0.9459322	-0.9579658	-0.9338986
oxygen + silicate	Indo-Pacific	(28.1,28.2]	-0.8849571	-0.9034892	-0.8664249
oxygen + silicate	Indo-Pacific	(28.2,28.3]	-0.3116701	-0.3689814	-0.2543588
oxygen + silicate	Indo-Pacific	(28.3,28.4]	-0.6228293	-0.6577793	-0.5878793
oxygen + silicate	Indo-Pacific	(28.4, Inf]	-0.9225620	-0.9856752	-0.8594488
sal + aou	Atlantic	(-Inf,26]	-0.2000371	-0.3296035	-0.0704706
sal + aou	Atlantic	(26,26.5]	-0.2540102	-0.3403713	-0.1676491
sal + aou	Atlantic	(26.5,26.75]	-0.3483495	-0.4086794	-0.2880197
sal + aou	Atlantic	(26.75,27]	-0.1658983	-0.3115309	-0.0202657
sal + aou	Atlantic	(27,27.25]	-0.1014656	-0.2361924	0.0332613
sal + aou	Atlantic	(27.25,27.5]	-0.0830872	-0.1385403	-0.0276340
sal + aou	Atlantic	(27.5,27.75]	-0.3102024	-0.3198366	-0.3005683
sal + aou	Atlantic	(27.75,27.85]	-0.3058131	-0.3117981	-0.2998280
sal + aou	Atlantic	(27.85,27.95]	-0.3211026	-0.3317735	-0.3104318
sal + aou	Atlantic	(27.95,28.05]	-0.4610892	-0.4923516	-0.4298269
sal + aou	Atlantic	(28.05,28.1]	-0.6921512	-0.7043625	-0.6799398
sal + aou	Atlantic	(28.1,28.15]	-0.7752622	-0.8021954	-0.7483290
sal + aou	Atlantic	(28.15,28.2]	-0.8791568	-0.8845008	-0.8738128
sal + aou	Atlantic	(28.2, Inf]	-0.5558013	-0.7031718	-0.4084308
sal + aou	Indo-Pacific	(-Inf,26]	-0.0742775	-0.0789282	-0.0696267
sal + aou	Indo-Pacific	(26,26.5]	-0.0664076	-0.1944962	0.0616809
sal + aou	Indo-Pacific	(26.5,26.75]	-0.0779130	-0.1632346	0.0074086
sal + aou	Indo-Pacific	(26.75,27]	-0.1335607	-0.2796871	0.0125657
sal + aou	Indo-Pacific	(27,27.25]	0.1056481	-0.0115466	0.2228428
sal + aou	Indo-Pacific	(27.25,27.5]	0.2996421	0.2442006	0.3550836
sal + aou	Indo-Pacific	(27.5,27.75]	0.2794173	0.1926007	0.3662340
sal + aou	Indo-Pacific	(27.75,27.85]	0.1641618	0.0735110	0.2548126
sal + aou	Indo-Pacific	(27.85,27.95]	0.1650466	0.1632223	0.1668708
sal + aou	Indo-Pacific	(27.95,28.05]	-0.1095674	-0.1472047	-0.0719301
sal + aou	Indo-Pacific	(28.05,28.1]	-0.5146983	-0.6260909	-0.4033058
sal + aou	Indo-Pacific	(28.1,28.2]	-0.3704469	-0.5262302	-0.2146636
sal + aou	Indo-Pacific	(28.2,28.3]	0.7612966	0.7486071	0.7739861
sal + aou	Indo-Pacific	(28.3,28.4]	0.9139881	0.9126607	0.9153154
sal + aou	Indo-Pacific	(28.4, Inf]	0.2089754	-0.2136440	0.6315948
sal + nitrate	Atlantic	(-Inf,26]	-0.2831052	-0.3600273	-0.2061830
sal + nitrate	Atlantic	(26,26.5]	-0.4338105	-0.4759474	-0.3916736
sal + nitrate	Atlantic	(26.5,26.75]	-0.5506702	-0.5965495	-0.5047909
sal + nitrate	Atlantic	(26.75,27]	-0.4927362	-0.5766749	-0.4087975
sal + nitrate	Atlantic	(27,27.25]	-0.5640414	-0.5973927	-0.5306900
sal + nitrate	Atlantic	(27.25,27.5]	-0.6353779	-0.6530266	-0.6177293
sal + nitrate	Atlantic	(27.5,27.75]	-0.7237634	-0.7244307	-0.7230960
sal + nitrate	Atlantic	(27.75,27.85]	-0.6521555	-0.6522643	-0.6520467
sal + nitrate	Atlantic	(27.85,27.95]	-0.6568218	-0.6659106	-0.6477330
sal + nitrate	Atlantic	(27.95,28.05]	-0.7705090	-0.7747769	-0.7662410
sal + nitrate	Atlantic	(28.05,28.1]	-0.8598970	-0.8624871	-0.8573069
sal + nitrate	Atlantic	(28.1,28.15]	-0.8820548	-0.8969482	-0.8671615
sal + nitrate	Atlantic	(28.15,28.2]	-0.9295084	-0.9367832	-0.9222336
sal + nitrate	Atlantic	(28.2, Inf]	-0.8818416	-0.9206606	-0.8430226
sal + nitrate	Indo-Pacific	(-Inf,26]	-0.3294585	-0.4099807	-0.2489364
sal + nitrate	Indo-Pacific	(26,26.5]	-0.4321218	-0.5738780	-0.2903656
sal + nitrate	Indo-Pacific	(26.5,26.75]	-0.4961115	-0.6270021	-0.3652208
sal + nitrate	Indo-Pacific	(26.75,27]	-0.4439524	-0.5744226	-0.3134821
sal + nitrate	Indo-Pacific	(27,27.25]	-0.1360452	-0.2186896	-0.0534007
sal + nitrate	Indo-Pacific	(27.25,27.5]	0.0911042	0.0689923	0.1132161
sal + nitrate	Indo-Pacific	(27.5,27.75]	0.0676243	0.0562123	0.0790363
sal + nitrate	Indo-Pacific	(27.75,27.85]	-0.0232991	-0.0623785	0.0157803
sal + nitrate	Indo-Pacific	(27.85,27.95]	-0.0518236	-0.0646862	-0.0389610
sal + nitrate	Indo-Pacific	(27.95,28.05]	-0.3610480	-0.3941283	-0.3279676
sal + nitrate	Indo-Pacific	(28.05,28.1]	-0.6770350	-0.7590726	-0.5949975
sal + nitrate	Indo-Pacific	(28.1,28.2]	-0.5492851	-0.6828585	-0.4157118
sal + nitrate	Indo-Pacific	(28.2,28.3]	0.0234846	-0.0102589	0.0572281
sal + nitrate	Indo-Pacific	(28.3,28.4]	0.4667107	0.3989112	0.5345101
sal + nitrate	Indo-Pacific	(28.4, Inf]	0.2916171	-0.0003829	0.5836172
sal + oxygen	Atlantic	(-Inf,26]	-0.0776279	-0.1966894	0.0414336
sal + oxygen	Atlantic	(26,26.5]	-0.0179909	-0.1310145	0.0950326
sal + oxygen	Atlantic	(26.5,26.75]	0.1126563	0.0431001	0.1822126
sal + oxygen	Atlantic	(26.75,27]	-0.1313401	-0.3284472	0.0657670
sal + oxygen	Atlantic	(27,27.25]	-0.1869257	-0.3471221	-0.0267292
sal + oxygen	Atlantic	(27.25,27.5]	-0.2426118	-0.3194059	-0.1658177
sal + oxygen	Atlantic	(27.5,27.75]	-0.0723214	-0.0751439	-0.0694989
sal + oxygen	Atlantic	(27.75,27.85]	-0.0586943	-0.0593785	-0.0580101
sal + oxygen	Atlantic	(27.85,27.95]	0.0318450	0.0214979	0.0421920
sal + oxygen	Atlantic	(27.95,28.05]	0.1864792	0.1462787	0.2266797
sal + oxygen	Atlantic	(28.05,28.1]	0.5133419	0.4915323	0.5351515
sal + oxygen	Atlantic	(28.1,28.15]	0.6654633	0.6320613	0.6988653
sal + oxygen	Atlantic	(28.15,28.2]	0.8321084	0.8207572	0.8434596
sal + oxygen	Atlantic	(28.2, Inf]	0.4117784	0.2247053	0.5988515
sal + oxygen	Indo-Pacific	(-Inf,26]	-0.2278786	-0.3137105	-0.1420467
sal + oxygen	Indo-Pacific	(26,26.5]	-0.1413322	-0.2412962	-0.0413681
sal + oxygen	Indo-Pacific	(26.5,26.75]	-0.1395900	-0.1952650	-0.0839150
sal + oxygen	Indo-Pacific	(26.75,27]	-0.0511987	-0.1952015	0.0928042
sal + oxygen	Indo-Pacific	(27,27.25]	-0.2297606	-0.3558068	-0.1037143
sal + oxygen	Indo-Pacific	(27.25,27.5]	-0.3997368	-0.4702397	-0.3292339
sal + oxygen	Indo-Pacific	(27.5,27.75]	-0.3715170	-0.4748952	-0.2681387
sal + oxygen	Indo-Pacific	(27.75,27.85]	-0.2585356	-0.3590516	-0.1580196
sal + oxygen	Indo-Pacific	(27.85,27.95]	-0.2689347	-0.2699202	-0.2679493
sal + oxygen	Indo-Pacific	(27.95,28.05]	0.0015204	-0.0434456	0.0464864
sal + oxygen	Indo-Pacific	(28.05,28.1]	0.4375227	0.3066747	0.5683707
sal + oxygen	Indo-Pacific	(28.1,28.2]	0.2885994	0.1154726	0.4617262
sal + oxygen	Indo-Pacific	(28.2,28.3]	-0.8291962	-0.8309398	-0.8274527
sal + oxygen	Indo-Pacific	(28.3,28.4]	-0.9231418	-0.9283802	-0.9179033
sal + oxygen	Indo-Pacific	(28.4, Inf]	-0.2021555	-0.6303807	0.2260696
sal + silicate	Atlantic	(-Inf,26]	-0.5680375	-0.5863326	-0.5497424
sal + silicate	Atlantic	(26,26.5]	-0.6187537	-0.6225901	-0.6149173
sal + silicate	Atlantic	(26.5,26.75]	-0.6447547	-0.6713158	-0.6181936
sal + silicate	Atlantic	(26.75,27]	-0.5750709	-0.6365922	-0.5135496
sal + silicate	Atlantic	(27,27.25]	-0.6231840	-0.6553659	-0.5910022
sal + silicate	Atlantic	(27.25,27.5]	-0.7416546	-0.7472342	-0.7360749
sal + silicate	Atlantic	(27.5,27.75]	-0.7889253	-0.7977468	-0.7801038
sal + silicate	Atlantic	(27.75,27.85]	-0.6868783	-0.6986468	-0.6751097
sal + silicate	Atlantic	(27.85,27.95]	-0.7271253	-0.7302496	-0.7240011
sal + silicate	Atlantic	(27.95,28.05]	-0.7990597	-0.8045451	-0.7935742
sal + silicate	Atlantic	(28.05,28.1]	-0.8595014	-0.8613326	-0.8576702
sal + silicate	Atlantic	(28.1,28.15]	-0.8810209	-0.8932255	-0.8688164
sal + silicate	Atlantic	(28.15,28.2]	-0.8999890	-0.9125724	-0.8874057
sal + silicate	Atlantic	(28.2, Inf]	-0.8013009	-0.8734655	-0.7291363
sal + silicate	Indo-Pacific	(-Inf,26]	-0.4869384	-0.5844441	-0.3894328
sal + silicate	Indo-Pacific	(26,26.5]	-0.6055712	-0.7069636	-0.5041788
sal + silicate	Indo-Pacific	(26.5,26.75]	-0.7139397	-0.8022582	-0.6256213
sal + silicate	Indo-Pacific	(26.75,27]	-0.6246699	-0.7169598	-0.5323799
sal + silicate	Indo-Pacific	(27,27.25]	-0.2866141	-0.3841794	-0.1890487
sal + silicate	Indo-Pacific	(27.25,27.5]	0.0060920	-0.0286619	0.0408460
sal + silicate	Indo-Pacific	(27.5,27.75]	0.0741100	0.0547181	0.0935020
sal + silicate	Indo-Pacific	(27.75,27.85]	0.0015789	-0.0638866	0.0670445
sal + silicate	Indo-Pacific	(27.85,27.95]	-0.0156898	-0.0223247	-0.0090550
sal + silicate	Indo-Pacific	(27.95,28.05]	-0.2610841	-0.2941592	-0.2280090
sal + silicate	Indo-Pacific	(28.05,28.1]	-0.5894727	-0.6637725	-0.5151730
sal + silicate	Indo-Pacific	(28.1,28.2]	-0.4725622	-0.5982478	-0.3468767
sal + silicate	Indo-Pacific	(28.2,28.3]	0.3322307	0.2992099	0.3652515
sal + silicate	Indo-Pacific	(28.3,28.4]	0.5713299	0.5673916	0.5752682
sal + silicate	Indo-Pacific	(28.4, Inf]	0.2361995	-0.1611686	0.6335676
sal + temp	Atlantic	(-Inf,26]	0.7892473	0.7857803	0.7927144
sal + temp	Atlantic	(26,26.5]	0.9601561	0.9550092	0.9653029
sal + temp	Atlantic	(26.5,26.75]	0.9766804	0.9759323	0.9774286
sal + temp	Atlantic	(26.75,27]	0.9715433	0.9687497	0.9743368
sal + temp	Atlantic	(27,27.25]	0.9763620	0.9745637	0.9781604
sal + temp	Atlantic	(27.25,27.5]	0.9748105	0.9733145	0.9763064
sal + temp	Atlantic	(27.5,27.75]	0.9652691	0.9638510	0.9666872
sal + temp	Atlantic	(27.75,27.85]	0.9773071	0.9727072	0.9819070
sal + temp	Atlantic	(27.85,27.95]	0.9599709	0.9594449	0.9604970
sal + temp	Atlantic	(27.95,28.05]	0.9543742	0.9527282	0.9560201
sal + temp	Atlantic	(28.05,28.1]	0.9712060	0.9674550	0.9749570
sal + temp	Atlantic	(28.1,28.15]	0.9603251	0.9490159	0.9716344
sal + temp	Atlantic	(28.15,28.2]	0.7117053	0.5442336	0.8791770
sal + temp	Atlantic	(28.2, Inf]	0.5634136	0.4521122	0.6747150
sal + temp	Indo-Pacific	(-Inf,26]	0.7134177	0.6729546	0.7538807
sal + temp	Indo-Pacific	(26,26.5]	0.9577369	0.9569339	0.9585399
sal + temp	Indo-Pacific	(26.5,26.75]	0.9807123	0.9788457	0.9825788
sal + temp	Indo-Pacific	(26.75,27]	0.9803152	0.9792553	0.9813750
sal + temp	Indo-Pacific	(27,27.25]	0.9546361	0.9485260	0.9607463
sal + temp	Indo-Pacific	(27.25,27.5]	0.9047806	0.8750111	0.9345500
sal + temp	Indo-Pacific	(27.5,27.75]	0.8218358	0.7553025	0.8883691
sal + temp	Indo-Pacific	(27.75,27.85]	0.8924478	0.8694129	0.9154827
sal + temp	Indo-Pacific	(27.85,27.95]	0.8799598	0.8763018	0.8836178
sal + temp	Indo-Pacific	(27.95,28.05]	0.8284894	0.8205985	0.8363802
sal + temp	Indo-Pacific	(28.05,28.1]	0.7211763	0.7011793	0.7411733
sal + temp	Indo-Pacific	(28.1,28.2]	0.3184924	0.1639723	0.4730126
sal + temp	Indo-Pacific	(28.2,28.3]	0.8547603	0.8477822	0.8617384
sal + temp	Indo-Pacific	(28.3,28.4]	0.9305359	0.9277440	0.9333278
sal + temp	Indo-Pacific	(28.4, Inf]	0.1840778	-0.2404179	0.6085735
temp + aou	Atlantic	(-Inf,26]	-0.2443959	-0.3841712	-0.1046206
temp + aou	Atlantic	(26,26.5]	-0.2736973	-0.3591669	-0.1882277
temp + aou	Atlantic	(26.5,26.75]	-0.3150286	-0.3658312	-0.2642261
temp + aou	Atlantic	(26.75,27]	-0.0990093	-0.2515634	0.0535448
temp + aou	Atlantic	(27,27.25]	-0.0224448	-0.1489816	0.1040919
temp + aou	Atlantic	(27.25,27.5]	-0.0332541	-0.0925921	0.0260840
temp + aou	Atlantic	(27.5,27.75]	-0.2354697	-0.2514019	-0.2195376
temp + aou	Atlantic	(27.75,27.85]	-0.2589756	-0.2962224	-0.2217288
temp + aou	Atlantic	(27.85,27.95]	-0.2347485	-0.2597056	-0.2097915
temp + aou	Atlantic	(27.95,28.05]	-0.3757644	-0.3948060	-0.3567228
temp + aou	Atlantic	(28.05,28.1]	-0.5674892	-0.5693554	-0.5656230
temp + aou	Atlantic	(28.1,28.15]	-0.6105374	-0.6716307	-0.5494441
temp + aou	Atlantic	(28.15,28.2]	-0.4895834	-0.6536980	-0.3254687
temp + aou	Atlantic	(28.2, Inf]	0.1018025	-0.0172442	0.2208491
temp + aou	Indo-Pacific	(-Inf,26]	-0.1861462	-0.2062720	-0.1660204
temp + aou	Indo-Pacific	(26,26.5]	-0.0707978	-0.1942781	0.0526826
temp + aou	Indo-Pacific	(26.5,26.75]	-0.0266598	-0.1015657	0.0482461
temp + aou	Indo-Pacific	(26.75,27]	-0.1386488	-0.2680333	-0.0092642
temp + aou	Indo-Pacific	(27,27.25]	0.0637398	-0.0289836	0.1564631
temp + aou	Indo-Pacific	(27.25,27.5]	0.2829489	0.2101191	0.3557786
temp + aou	Indo-Pacific	(27.5,27.75]	0.3741222	0.2866161	0.4616283
temp + aou	Indo-Pacific	(27.75,27.85]	0.3262084	0.2621577	0.3902590
temp + aou	Indo-Pacific	(27.85,27.95]	0.4009337	0.3869473	0.4149202
temp + aou	Indo-Pacific	(27.95,28.05]	0.2890040	0.2770764	0.3009316
temp + aou	Indo-Pacific	(28.05,28.1]	0.0999525	0.0092632	0.1906418
temp + aou	Indo-Pacific	(28.1,28.2]	0.6472809	0.6417250	0.6528367
temp + aou	Indo-Pacific	(28.2,28.3]	0.6716489	0.6663593	0.6769386
temp + aou	Indo-Pacific	(28.3,28.4]	0.9510637	0.9470427	0.9550847
temp + aou	Indo-Pacific	(28.4, Inf]	0.9019529	0.8104449	0.9934609
temp + nitrate	Atlantic	(-Inf,26]	-0.2677737	-0.3533617	-0.1821856
temp + nitrate	Atlantic	(26,26.5]	-0.4748602	-0.5115868	-0.4381336
temp + nitrate	Atlantic	(26.5,26.75]	-0.5158532	-0.5547433	-0.4769630
temp + nitrate	Atlantic	(26.75,27]	-0.3993775	-0.5055360	-0.2932190
temp + nitrate	Atlantic	(27,27.25]	-0.4747690	-0.5035554	-0.4459826
temp + nitrate	Atlantic	(27.25,27.5]	-0.5790907	-0.6033215	-0.5548599
temp + nitrate	Atlantic	(27.5,27.75]	-0.6706050	-0.6763184	-0.6648916
temp + nitrate	Atlantic	(27.75,27.85]	-0.6391950	-0.6603232	-0.6180668
temp + nitrate	Atlantic	(27.85,27.95]	-0.6142152	-0.6334359	-0.5949945
temp + nitrate	Atlantic	(27.95,28.05]	-0.7123628	-0.7156760	-0.7090496
temp + nitrate	Atlantic	(28.05,28.1]	-0.7717266	-0.7810843	-0.7623688
temp + nitrate	Atlantic	(28.1,28.15]	-0.7532085	-0.7953445	-0.7110725
temp + nitrate	Atlantic	(28.15,28.2]	-0.5279077	-0.7000801	-0.3557354
temp + nitrate	Atlantic	(28.2, Inf]	-0.2840547	-0.3079422	-0.2601673
temp + nitrate	Indo-Pacific	(-Inf,26]	-0.4115756	-0.4680334	-0.3551178
temp + nitrate	Indo-Pacific	(26,26.5]	-0.4515944	-0.5915490	-0.3116398
temp + nitrate	Indo-Pacific	(26.5,26.75]	-0.4650450	-0.5934099	-0.3366801
temp + nitrate	Indo-Pacific	(26.75,27]	-0.4609769	-0.5805305	-0.3414232
temp + nitrate	Indo-Pacific	(27,27.25]	-0.2040622	-0.2700351	-0.1380893
temp + nitrate	Indo-Pacific	(27.25,27.5]	0.0457270	0.0391373	0.0523166
temp + nitrate	Indo-Pacific	(27.5,27.75]	0.1717928	0.1502901	0.1932955
temp + nitrate	Indo-Pacific	(27.75,27.85]	0.1514327	0.1361172	0.1667482
temp + nitrate	Indo-Pacific	(27.85,27.95]	0.1994483	0.1743875	0.2245091
temp + nitrate	Indo-Pacific	(27.95,28.05]	0.0396442	0.0319769	0.0473114
temp + nitrate	Indo-Pacific	(28.05,28.1]	-0.0966417	-0.1689120	-0.0243713
temp + nitrate	Indo-Pacific	(28.1,28.2]	0.4599392	0.4361700	0.4837085
temp + nitrate	Indo-Pacific	(28.2,28.3]	-0.0758074	-0.1187421	-0.0328728
temp + nitrate	Indo-Pacific	(28.3,28.4]	0.5442084	0.4734873	0.6149296
temp + nitrate	Indo-Pacific	(28.4, Inf]	0.8131493	0.7398787	0.8864199
temp + oxygen	Atlantic	(-Inf,26]	-0.0902658	-0.2154645	0.0349329
temp + oxygen	Atlantic	(26,26.5]	-0.0111613	-0.1215448	0.0992221
temp + oxygen	Atlantic	(26.5,26.75]	0.0668187	0.0077581	0.1258793
temp + oxygen	Atlantic	(26.75,27]	-0.2109738	-0.4148784	-0.0070692
temp + oxygen	Atlantic	(27,27.25]	-0.2722064	-0.4212414	-0.1231713
temp + oxygen	Atlantic	(27.25,27.5]	-0.2993181	-0.3787265	-0.2199098
temp + oxygen	Atlantic	(27.5,27.75]	-0.1643464	-0.1736803	-0.1550126
temp + oxygen	Atlantic	(27.75,27.85]	-0.1196679	-0.1538685	-0.0854672
temp + oxygen	Atlantic	(27.85,27.95]	-0.0728757	-0.0971343	-0.0486171
temp + oxygen	Atlantic	(27.95,28.05]	0.0782128	0.0518032	0.1046224
temp + oxygen	Atlantic	(28.05,28.1]	0.3633435	0.3535194	0.3731676
temp + oxygen	Atlantic	(28.1,28.15]	0.4764270	0.4063519	0.5465021
temp + oxygen	Atlantic	(28.15,28.2]	0.3871371	0.2091975	0.5650767
temp + oxygen	Atlantic	(28.2, Inf]	-0.2957251	-0.4228578	-0.1685924
temp + oxygen	Indo-Pacific	(-Inf,26]	-0.1954031	-0.3020514	-0.0887548
temp + oxygen	Indo-Pacific	(26,26.5]	-0.1465018	-0.2407411	-0.0522626
temp + oxygen	Indo-Pacific	(26.5,26.75]	-0.1957670	-0.2406908	-0.1508433
temp + oxygen	Indo-Pacific	(26.75,27]	-0.0509192	-0.1786986	0.0768603
temp + oxygen	Indo-Pacific	(27,27.25]	-0.1952395	-0.2982246	-0.0922544
temp + oxygen	Indo-Pacific	(27.25,27.5]	-0.3955305	-0.4821949	-0.3088660
temp + oxygen	Indo-Pacific	(27.5,27.75]	-0.4834343	-0.5822063	-0.3846622
temp + oxygen	Indo-Pacific	(27.75,27.85]	-0.4266634	-0.4988370	-0.3544897
temp + oxygen	Indo-Pacific	(27.85,27.95]	-0.5070489	-0.5163131	-0.4977846
temp + oxygen	Indo-Pacific	(27.95,28.05]	-0.4015529	-0.4203887	-0.3827170
temp + oxygen	Indo-Pacific	(28.05,28.1]	-0.1896433	-0.2952462	-0.0840404
temp + oxygen	Indo-Pacific	(28.1,28.2]	-0.7105869	-0.7145641	-0.7066098
temp + oxygen	Indo-Pacific	(28.2,28.3]	-0.7875670	-0.7882385	-0.7868955
temp + oxygen	Indo-Pacific	(28.3,28.4]	-0.9594196	-0.9606627	-0.9581765
temp + oxygen	Indo-Pacific	(28.4, Inf]	-0.9454985	-0.9953737	-0.8956234
temp + silicate	Atlantic	(-Inf,26]	-0.4518116	-0.4554863	-0.4481369
temp + silicate	Atlantic	(26,26.5]	-0.6304159	-0.6363720	-0.6244599
temp + silicate	Atlantic	(26.5,26.75]	-0.6304740	-0.6444110	-0.6165370
temp + silicate	Atlantic	(26.75,27]	-0.5226592	-0.5940087	-0.4513097
temp + silicate	Atlantic	(27,27.25]	-0.5749978	-0.5956703	-0.5543252
temp + silicate	Atlantic	(27.25,27.5]	-0.7543906	-0.7544906	-0.7542906
temp + silicate	Atlantic	(27.5,27.75]	-0.8216797	-0.8288341	-0.8145254
temp + silicate	Atlantic	(27.75,27.85]	-0.7230235	-0.7242199	-0.7218270
temp + silicate	Atlantic	(27.85,27.95]	-0.7160695	-0.7285345	-0.7036045
temp + silicate	Atlantic	(27.95,28.05]	-0.7497816	-0.7499917	-0.7495716
temp + silicate	Atlantic	(28.05,28.1]	-0.7668456	-0.7752680	-0.7584233
temp + silicate	Atlantic	(28.1,28.15]	-0.7489411	-0.7864554	-0.7114267
temp + silicate	Atlantic	(28.15,28.2]	-0.4802032	-0.6461777	-0.3142286
temp + silicate	Atlantic	(28.2, Inf]	-0.1704771	-0.1940295	-0.1469248
temp + silicate	Indo-Pacific	(-Inf,26]	-0.4862319	-0.5738308	-0.3986330
temp + silicate	Indo-Pacific	(26,26.5]	-0.6346700	-0.7295776	-0.5397624
temp + silicate	Indo-Pacific	(26.5,26.75]	-0.7023708	-0.7844149	-0.6203268
temp + silicate	Indo-Pacific	(26.75,27]	-0.6349045	-0.7068661	-0.5629429
temp + silicate	Indo-Pacific	(27,27.25]	-0.3303542	-0.3960820	-0.2646264
temp + silicate	Indo-Pacific	(27.25,27.5]	-0.0618111	-0.1098566	-0.0137656
temp + silicate	Indo-Pacific	(27.5,27.75]	0.0408709	0.0049058	0.0768360
temp + silicate	Indo-Pacific	(27.75,27.85]	0.1060280	0.0606620	0.1513941
temp + silicate	Indo-Pacific	(27.85,27.95]	0.1639403	0.1515687	0.1763119
temp + silicate	Indo-Pacific	(27.95,28.05]	0.0597006	0.0468192	0.0725820
temp + silicate	Indo-Pacific	(28.05,28.1]	-0.0212414	-0.0825531	0.0400704
temp + silicate	Indo-Pacific	(28.1,28.2]	0.4666574	0.4425832	0.4907315
temp + silicate	Indo-Pacific	(28.2,28.3]	0.0731200	0.0340736	0.1121664
temp + silicate	Indo-Pacific	(28.3,28.4]	0.6904202	0.6574177	0.7234227
temp + silicate	Indo-Pacific	(28.4, Inf]	0.9703774	0.9600470	0.9807079

rm(cor_predictors, cor_predictors_stats)

3.2.3 C* vs individual predictors

Below, the range of correlations coefficients for C* with each predictor is plotted per basin (facet) and density slab (color). Note that the range indicates the min and max values of in total 3 calculated coefficients (one per era).

cor_target_predictor <- cor_target_predictor %>% 
  rename(predictor = term)

# calculate min, max, mean across all eras
cor_target_predictor_stats <- cor_target_predictor %>%
  select(-era) %>% 
  group_by(predictor, basin, gamma_slab) %>% 
  summarise_all(list(mean_r = mean, min_r = min, max_r = max)) %>% 
  ungroup()

# plot figure
cor_target_predictor_stats %>% 
  mutate(predictor = reorder(predictor, mean_r)) %>%
  ggplot() +
  geom_vline(xintercept = c(-0.9, 0.9), col = "red") +
  geom_vline(xintercept = 0) +
  geom_linerange(
    aes(y = predictor, xmin = min_r, xmax = max_r, col = gamma_slab),
    position = position_dodge(width = 0.6)) +
  facet_wrap(~basin) +
  scale_color_viridis_d(direction = -1) +
  labs(x = "correlation coefficient", y = "C* correlation with...") +
  theme(legend.position = "top")

Past versions of correlation_predictors-1.png

Version	Author	Date
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
c9ccc00	jens-daniel-mueller	2021-07-22
c18a8b1	jens-daniel-mueller	2021-07-09
910d64a	jens-daniel-mueller	2021-07-02
1cbf907	jens-daniel-mueller	2021-07-02
955f5dc	jens-daniel-mueller	2021-06-29
9480f94	jens-daniel-mueller	2021-06-29
d054c39	jens-daniel-mueller	2021-06-24
4fcd066	jens-daniel-mueller	2021-06-24
3b6387f	jens-daniel-mueller	2021-06-18
c6b3da6	jens-daniel-mueller	2021-06-14
439ee80	jens-daniel-mueller	2021-06-11
33ffcab	jens-daniel-mueller	2021-06-10
7e1f407	jens-daniel-mueller	2021-06-10
2cbe18c	jens-daniel-mueller	2021-06-10
69c79d0	jens-daniel-mueller	2021-06-08
1772903	jens-daniel-mueller	2021-06-07
594ed9a	jens-daniel-mueller	2021-06-04
db7df0e	jens-daniel-mueller	2021-06-04
2edc791	jens-daniel-mueller	2021-06-04
207339d	jens-daniel-mueller	2021-06-03
315710b	jens-daniel-mueller	2021-06-03
d37a85d	jens-daniel-mueller	2021-05-31
4b7a5ee	jens-daniel-mueller	2021-05-28
25bd183	jens-daniel-mueller	2021-05-26
62bd574	jens-daniel-mueller	2021-05-20
7c56c39	jens-daniel-mueller	2021-05-19
52e7583	jens-daniel-mueller	2021-05-12
969e631	jens-daniel-mueller	2021-05-12
d2a83bc	jens-daniel-mueller	2021-04-16
c0a47df	jens-daniel-mueller	2021-04-16
50290e8	jens-daniel-mueller	2021-04-16
a00ec94	jens-daniel-mueller	2021-04-16
b6fe355	jens-daniel-mueller	2021-04-16
81b7c6d	jens-daniel-mueller	2021-04-16
ddec5b7	jens-daniel-mueller	2021-04-15
29edae5	jens-daniel-mueller	2021-04-14
099d566	jens-daniel-mueller	2021-04-14
bb44686	jens-daniel-mueller	2021-04-14
bf40480	jens-daniel-mueller	2021-04-13
9f31fe3	jens-daniel-mueller	2021-04-13
338dd3c	jens-daniel-mueller	2021-04-09
a79ca2c	jens-daniel-mueller	2021-04-09
eb827c9	jens-daniel-mueller	2021-04-07
19faa17	jens-daniel-mueller	2021-03-24
03b6009	jens-daniel-mueller	2021-03-23
98d4a6d	jens-daniel-mueller	2021-03-23
f155edd	jens-daniel-mueller	2021-03-23
83a13de	jens-daniel-mueller	2021-03-20
cf98c6d	jens-daniel-mueller	2021-03-16
a1d52ff	jens-daniel-mueller	2021-03-15
0bade3b	jens-daniel-mueller	2021-03-15
27c1f4b	jens-daniel-mueller	2021-03-14
af75ebf	jens-daniel-mueller	2021-03-14
5017709	jens-daniel-mueller	2021-03-11
585b07f	jens-daniel-mueller	2021-03-11
85a5ed2	jens-daniel-mueller	2021-03-10
6c0bec6	jens-daniel-mueller	2021-03-05
3c2ec33	jens-daniel-mueller	2021-03-05
af70b94	jens-daniel-mueller	2021-03-04
7b672f7	jens-daniel-mueller	2021-01-11
33ba23c	jens-daniel-mueller	2021-01-07
318609d	jens-daniel-mueller	2020-12-23
9d0b2d0	jens-daniel-mueller	2020-12-23
0aa2b50	jens-daniel-mueller	2020-12-23
2886da0	jens-daniel-mueller	2020-12-19
02f0ee9	jens-daniel-mueller	2020-12-18
7bcb4eb	jens-daniel-mueller	2020-12-18
158fe26	jens-daniel-mueller	2020-12-15
7a9a4cb	jens-daniel-mueller	2020-12-15
61b263c	jens-daniel-mueller	2020-12-15
984697e	jens-daniel-mueller	2020-12-12
3ebff89	jens-daniel-mueller	2020-12-12
5d96d3c	jens-daniel-mueller	2020-12-11
24a632f	jens-daniel-mueller	2020-12-07
6a8004b	jens-daniel-mueller	2020-12-07
70bf1a5	jens-daniel-mueller	2020-12-07
7555355	jens-daniel-mueller	2020-12-07
143d6fa	jens-daniel-mueller	2020-12-07
090e4d5	jens-daniel-mueller	2020-12-02
0ff728b	jens-daniel-mueller	2020-12-01
91435ae	jens-daniel-mueller	2020-12-01
196be51	jens-daniel-mueller	2020-11-30
bc61ce3	Jens Müller	2020-11-30

# print table
kable(cor_target_predictor_stats) %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

predictor	basin	gamma_slab	mean_r	min_r	max_r
aou	Atlantic	(-Inf,26]	0.5130491	0.4906247	0.5354735
aou	Atlantic	(26,26.5]	-0.1106606	-0.2013209	-0.0200003
aou	Atlantic	(26.5,26.75]	-0.3641841	-0.3650401	-0.3633280
aou	Atlantic	(26.75,27]	-0.2991653	-0.3500798	-0.2482508
aou	Atlantic	(27,27.25]	-0.3164957	-0.3804090	-0.2525824
aou	Atlantic	(27.25,27.5]	-0.3999597	-0.4293279	-0.3705915
aou	Atlantic	(27.5,27.75]	-0.6779576	-0.7196578	-0.6362574
aou	Atlantic	(27.75,27.85]	-0.7960835	-0.8189897	-0.7731772
aou	Atlantic	(27.85,27.95]	-0.8084760	-0.8282367	-0.7887154
aou	Atlantic	(27.95,28.05]	-0.7937077	-0.8072758	-0.7801395
aou	Atlantic	(28.05,28.1]	-0.8273166	-0.8277613	-0.8268719
aou	Atlantic	(28.1,28.15]	-0.8334766	-0.8664614	-0.8004918
aou	Atlantic	(28.15,28.2]	-0.8913088	-0.8940111	-0.8886064
aou	Atlantic	(28.2, Inf]	-0.7073030	-0.8437694	-0.5708367
aou	Indo-Pacific	(-Inf,26]	-0.0869725	-0.1180379	-0.0559071
aou	Indo-Pacific	(26,26.5]	-0.3388316	-0.5538808	-0.1237825
aou	Indo-Pacific	(26.5,26.75]	-0.3169428	-0.4426656	-0.1912201
aou	Indo-Pacific	(26.75,27]	-0.3424907	-0.5356452	-0.1493363
aou	Indo-Pacific	(27,27.25]	0.1737599	0.1700756	0.1774442
aou	Indo-Pacific	(27.25,27.5]	0.5664027	0.5229080	0.6098973
aou	Indo-Pacific	(27.5,27.75]	0.6330875	0.5466138	0.7195613
aou	Indo-Pacific	(27.75,27.85]	0.7144129	0.6788241	0.7500017
aou	Indo-Pacific	(27.85,27.95]	0.6682493	0.6227760	0.7137227
aou	Indo-Pacific	(27.95,28.05]	0.4336149	0.4046702	0.4625596
aou	Indo-Pacific	(28.05,28.1]	0.1943249	0.1662492	0.2224005
aou	Indo-Pacific	(28.1,28.2]	0.1653763	0.1171546	0.2135980
aou	Indo-Pacific	(28.2,28.3]	0.0715001	0.0542715	0.0887286
aou	Indo-Pacific	(28.3,28.4]	0.0957286	-0.0174874	0.2089446
aou	Indo-Pacific	(28.4, Inf]	-0.7307704	-0.7837035	-0.6778372
nitrate	Atlantic	(-Inf,26]	0.3205544	0.3144302	0.3266786
nitrate	Atlantic	(26,26.5]	-0.2791029	-0.3348979	-0.2233078
nitrate	Atlantic	(26.5,26.75]	-0.5428800	-0.5538517	-0.5319083
nitrate	Atlantic	(26.75,27]	-0.6429814	-0.6729265	-0.6130363
nitrate	Atlantic	(27,27.25]	-0.7690217	-0.7947792	-0.7432642
nitrate	Atlantic	(27.25,27.5]	-0.8685473	-0.9042443	-0.8328502
nitrate	Atlantic	(27.5,27.75]	-0.9481372	-0.9619100	-0.9343644
nitrate	Atlantic	(27.75,27.85]	-0.9491990	-0.9596636	-0.9387344
nitrate	Atlantic	(27.85,27.95]	-0.9246658	-0.9352129	-0.9141186
nitrate	Atlantic	(27.95,28.05]	-0.9026966	-0.9150068	-0.8903864
nitrate	Atlantic	(28.05,28.1]	-0.8962070	-0.9103044	-0.8821096
nitrate	Atlantic	(28.1,28.15]	-0.8795987	-0.9175925	-0.8416050
nitrate	Atlantic	(28.15,28.2]	-0.9270405	-0.9278465	-0.9262344
nitrate	Atlantic	(28.2, Inf]	-0.9453234	-0.9761864	-0.9144604
nitrate	Indo-Pacific	(-Inf,26]	-0.1617464	-0.1624563	-0.1610366
nitrate	Indo-Pacific	(26,26.5]	-0.5468923	-0.7744551	-0.3193294
nitrate	Indo-Pacific	(26.5,26.75]	-0.6019098	-0.7921029	-0.4117167
nitrate	Indo-Pacific	(26.75,27]	-0.5361076	-0.7478390	-0.3243761
nitrate	Indo-Pacific	(27,27.25]	0.0552237	0.0362859	0.0741615
nitrate	Indo-Pacific	(27.25,27.5]	0.5092947	0.4840826	0.5345067
nitrate	Indo-Pacific	(27.5,27.75]	0.6013712	0.5375050	0.6652374
nitrate	Indo-Pacific	(27.75,27.85]	0.7113121	0.7010907	0.7215335
nitrate	Indo-Pacific	(27.85,27.95]	0.6481983	0.6197660	0.6766305
nitrate	Indo-Pacific	(27.95,28.05]	0.3484374	0.3353824	0.3614925
nitrate	Indo-Pacific	(28.05,28.1]	0.1066446	0.0735788	0.1397103
nitrate	Indo-Pacific	(28.1,28.2]	0.0590236	-0.0021054	0.1201525
nitrate	Indo-Pacific	(28.2,28.3]	-0.1321679	-0.2828687	0.0185330
nitrate	Indo-Pacific	(28.3,28.4]	-0.2050862	-0.4087646	-0.0014079
nitrate	Indo-Pacific	(28.4, Inf]	-0.5829710	-0.8322838	-0.3336582
oxygen	Atlantic	(-Inf,26]	-0.4094262	-0.4452897	-0.3735626
oxygen	Atlantic	(26,26.5]	-0.0483138	-0.1480120	0.0513844
oxygen	Atlantic	(26.5,26.75]	0.2226867	0.2223129	0.2230605
oxygen	Atlantic	(26.75,27]	0.1372486	0.0757557	0.1987414
oxygen	Atlantic	(27,27.25]	0.0999974	0.0085365	0.1914584
oxygen	Atlantic	(27.25,27.5]	0.1255075	0.1083586	0.1426565
oxygen	Atlantic	(27.5,27.75]	0.3789728	0.3324670	0.4254785
oxygen	Atlantic	(27.75,27.85]	0.5459197	0.5169655	0.5748740
oxygen	Atlantic	(27.85,27.95]	0.6352958	0.6106732	0.6599184
oxygen	Atlantic	(27.95,28.05]	0.6369407	0.6007153	0.6731661
oxygen	Atlantic	(28.05,28.1]	0.7427680	0.7279915	0.7575444
oxygen	Atlantic	(28.1,28.15]	0.7926109	0.7678454	0.8173765
oxygen	Atlantic	(28.15,28.2]	0.8877153	0.8763638	0.8990668
oxygen	Atlantic	(28.2, Inf]	0.5883853	0.4135014	0.7632692
oxygen	Indo-Pacific	(-Inf,26]	0.1960904	0.1745495	0.2176314
oxygen	Indo-Pacific	(26,26.5]	0.2135233	0.0391818	0.3878648
oxygen	Indo-Pacific	(26.5,26.75]	0.1602700	0.0824248	0.2381152
oxygen	Indo-Pacific	(26.75,27]	0.2413824	0.0640705	0.4186942
oxygen	Indo-Pacific	(27,27.25]	-0.1844241	-0.1919996	-0.1768486
oxygen	Indo-Pacific	(27.25,27.5]	-0.5336360	-0.5779450	-0.4893270
oxygen	Indo-Pacific	(27.5,27.75]	-0.5832374	-0.6763759	-0.4900989
oxygen	Indo-Pacific	(27.75,27.85]	-0.6687516	-0.7136828	-0.6238203
oxygen	Indo-Pacific	(27.85,27.95]	-0.6328265	-0.6822915	-0.5833616
oxygen	Indo-Pacific	(27.95,28.05]	-0.4292575	-0.4635063	-0.3950087
oxygen	Indo-Pacific	(28.05,28.1]	-0.2059164	-0.2269993	-0.1848336
oxygen	Indo-Pacific	(28.1,28.2]	-0.1850911	-0.2300861	-0.1400961
oxygen	Indo-Pacific	(28.2,28.3]	-0.1006908	-0.1126961	-0.0886856
oxygen	Indo-Pacific	(28.3,28.4]	-0.1044652	-0.2074731	-0.0014573
oxygen	Indo-Pacific	(28.4, Inf]	0.6905435	0.5994235	0.7816635
sal	Atlantic	(-Inf,26]	-0.0054713	-0.0069636	-0.0039791
sal	Atlantic	(26,26.5]	0.6375525	0.5927431	0.6823619
sal	Atlantic	(26.5,26.75]	0.7272879	0.7096672	0.7449086
sal	Atlantic	(26.75,27]	0.6966676	0.6282869	0.7650483
sal	Atlantic	(27,27.25]	0.8021706	0.7900445	0.8142967
sal	Atlantic	(27.25,27.5]	0.8297393	0.7895106	0.8699680
sal	Atlantic	(27.5,27.75]	0.8167827	0.7950513	0.8385140
sal	Atlantic	(27.75,27.85]	0.7191808	0.7059309	0.7324306
sal	Atlantic	(27.85,27.95]	0.6370067	0.6285301	0.6454832
sal	Atlantic	(27.95,28.05]	0.6767869	0.6448277	0.7087461
sal	Atlantic	(28.05,28.1]	0.7492336	0.7132817	0.7851854
sal	Atlantic	(28.1,28.15]	0.7550124	0.6750102	0.8350145
sal	Atlantic	(28.15,28.2]	0.8364883	0.8349769	0.8379996
sal	Atlantic	(28.2, Inf]	0.9233415	0.9035419	0.9431412
sal	Indo-Pacific	(-Inf,26]	0.0568139	0.0103192	0.1033085
sal	Indo-Pacific	(26,26.5]	0.5478001	0.4073590	0.6882411
sal	Indo-Pacific	(26.5,26.75]	0.6532275	0.5155972	0.7908578
sal	Indo-Pacific	(26.75,27]	0.5294216	0.3955672	0.6632759
sal	Indo-Pacific	(27,27.25]	0.0157835	0.0077528	0.0238143
sal	Indo-Pacific	(27.25,27.5]	-0.1038565	-0.1817292	-0.0259838
sal	Indo-Pacific	(27.5,27.75]	-0.0958564	-0.1176487	-0.0740641
sal	Indo-Pacific	(27.75,27.85]	-0.2107905	-0.2168850	-0.2046959
sal	Indo-Pacific	(27.85,27.95]	-0.1011074	-0.1693623	-0.0328525
sal	Indo-Pacific	(27.95,28.05]	0.0095741	-0.0573717	0.0765200
sal	Indo-Pacific	(28.05,28.1]	0.0511465	-0.0351130	0.1374061
sal	Indo-Pacific	(28.1,28.2]	0.1009451	0.0353167	0.1665736
sal	Indo-Pacific	(28.2,28.3]	0.1623840	0.1587785	0.1659895
sal	Indo-Pacific	(28.3,28.4]	0.1625873	0.0496043	0.2755702
sal	Indo-Pacific	(28.4, Inf]	-0.0464454	-0.3915622	0.2986715
silicate	Atlantic	(-Inf,26]	0.0860730	0.0712735	0.1008725
silicate	Atlantic	(26,26.5]	-0.4249824	-0.4633502	-0.3866145
silicate	Atlantic	(26.5,26.75]	-0.5571161	-0.5619520	-0.5522801
silicate	Atlantic	(26.75,27]	-0.5568363	-0.5887500	-0.5249226
silicate	Atlantic	(27,27.25]	-0.7313199	-0.7360423	-0.7265974
silicate	Atlantic	(27.25,27.5]	-0.8522479	-0.8577816	-0.8467141
silicate	Atlantic	(27.5,27.75]	-0.8596572	-0.8612804	-0.8580340
silicate	Atlantic	(27.75,27.85]	-0.8678828	-0.8767473	-0.8590184
silicate	Atlantic	(27.85,27.95]	-0.8755067	-0.8866812	-0.8643323
silicate	Atlantic	(27.95,28.05]	-0.8672561	-0.8811954	-0.8533168
silicate	Atlantic	(28.05,28.1]	-0.8724335	-0.8895518	-0.8553152
silicate	Atlantic	(28.1,28.15]	-0.8676877	-0.9113137	-0.8240618
silicate	Atlantic	(28.15,28.2]	-0.9225501	-0.9231298	-0.9219704
silicate	Atlantic	(28.2, Inf]	-0.8902167	-0.9535711	-0.8268622
silicate	Indo-Pacific	(-Inf,26]	-0.2040906	-0.2304617	-0.1777196
silicate	Indo-Pacific	(26,26.5]	-0.6122402	-0.7399705	-0.4845100
silicate	Indo-Pacific	(26.5,26.75]	-0.6462092	-0.7566182	-0.5358001
silicate	Indo-Pacific	(26.75,27]	-0.4587588	-0.5791216	-0.3383961
silicate	Indo-Pacific	(27,27.25]	0.2426408	0.2039176	0.2813639
silicate	Indo-Pacific	(27.25,27.5]	0.6865048	0.6002239	0.7727857
silicate	Indo-Pacific	(27.5,27.75]	0.7506832	0.6547717	0.8465947
silicate	Indo-Pacific	(27.75,27.85]	0.7754737	0.7530610	0.7978865
silicate	Indo-Pacific	(27.85,27.95]	0.6823695	0.6431743	0.7215646
silicate	Indo-Pacific	(27.95,28.05]	0.3994025	0.3804659	0.4183391
silicate	Indo-Pacific	(28.05,28.1]	0.1550913	0.1277139	0.1824687
silicate	Indo-Pacific	(28.1,28.2]	0.0714331	0.0384084	0.1044578
silicate	Indo-Pacific	(28.2,28.3]	-0.0149159	-0.1529454	0.1231136
silicate	Indo-Pacific	(28.3,28.4]	-0.1510893	-0.3591309	0.0569522
silicate	Indo-Pacific	(28.4, Inf]	-0.5316383	-0.7626471	-0.3006295
temp	Atlantic	(-Inf,26]	-0.3819563	-0.3892070	-0.3747056
temp	Atlantic	(26,26.5]	0.5852379	0.5636898	0.6067860
temp	Atlantic	(26.5,26.75]	0.6476771	0.6300882	0.6652660
temp	Atlantic	(26.75,27]	0.5691439	0.4778660	0.6604217
temp	Atlantic	(27,27.25]	0.7151179	0.7038406	0.7263951
temp	Atlantic	(27.25,27.5]	0.7724587	0.7217347	0.8231827
temp	Atlantic	(27.5,27.75]	0.7610255	0.7434716	0.7785793
temp	Atlantic	(27.75,27.85]	0.7012501	0.6983161	0.7041840
temp	Atlantic	(27.85,27.95]	0.6116567	0.6108768	0.6124367
temp	Atlantic	(27.95,28.05]	0.6577342	0.6141692	0.7012993
temp	Atlantic	(28.05,28.1]	0.6810910	0.6378684	0.7243137
temp	Atlantic	(28.1,28.15]	0.6317526	0.5165143	0.7469909
temp	Atlantic	(28.15,28.2]	0.3734031	0.1634693	0.5833369
temp	Atlantic	(28.2, Inf]	0.4012345	0.3124393	0.4900298
temp	Indo-Pacific	(-Inf,26]	-0.3868357	-0.3997374	-0.3739340
temp	Indo-Pacific	(26,26.5]	0.5464212	0.4072229	0.6856196
temp	Indo-Pacific	(26.5,26.75]	0.6581051	0.5249545	0.7912557
temp	Indo-Pacific	(26.75,27]	0.5604776	0.4390077	0.6819476
temp	Indo-Pacific	(27,27.25]	0.1127345	0.0890460	0.1364230
temp	Indo-Pacific	(27.25,27.5]	-0.0724035	-0.1426606	-0.0021464
temp	Indo-Pacific	(27.5,27.75]	-0.1092965	-0.1559227	-0.0626704
temp	Indo-Pacific	(27.75,27.85]	-0.1248209	-0.1312316	-0.1184103
temp	Indo-Pacific	(27.85,27.95]	0.0274340	-0.0247728	0.0796408
temp	Indo-Pacific	(27.95,28.05]	0.1138397	0.0744147	0.1532647
temp	Indo-Pacific	(28.05,28.1]	0.1509433	0.0924925	0.2093941
temp	Indo-Pacific	(28.1,28.2]	0.2028750	0.1996520	0.2060980
temp	Indo-Pacific	(28.2,28.3]	0.1086934	0.0252452	0.1921417
temp	Indo-Pacific	(28.3,28.4]	0.0507273	-0.0400795	0.1415342
temp	Indo-Pacific	(28.4, Inf]	-0.5460488	-0.7762468	-0.3158508

rm(cor_target_predictor, cor_target_predictor_stats)

Session information

sessionInfo()

R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.2

Matrix products: default
BLAS:   /usr/local/R-4.0.3/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.0.3/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] corrr_0.4.3      broom_0.7.5      kableExtra_1.3.1 knitr_1.30      
 [5] olsrr_0.5.3      GGally_2.0.0     lubridate_1.7.9  ggforce_0.3.3   
 [9] metR_0.9.0       scico_1.2.0      patchwork_1.1.1  collapse_1.5.0  
[13] forcats_0.5.0    stringr_1.4.0    dplyr_1.0.5      purrr_0.3.4     
[17] readr_1.4.0      tidyr_1.1.2      tibble_3.0.4     ggplot2_3.3.3   
[21] tidyverse_1.3.0  workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 webshot_0.5.2            RColorBrewer_1.1-2      
 [4] httr_1.4.2               rprojroot_2.0.2          tools_4.0.3             
 [7] backports_1.1.10         R6_2.5.0                 nortest_1.0-4           
[10] DBI_1.1.0                colorspace_1.4-1         withr_2.3.0             
[13] gridExtra_2.3            tidyselect_1.1.0         curl_4.3                
[16] compiler_4.0.3           git2r_0.27.1             cli_2.1.0               
[19] rvest_0.3.6              xml2_1.3.2               labeling_0.4.2          
[22] scales_1.1.1             checkmate_2.0.0          goftest_1.2-2           
[25] digest_0.6.27            foreign_0.8-80           rmarkdown_2.5           
[28] rio_0.5.16               pkgconfig_2.0.3          htmltools_0.5.0         
[31] highr_0.8                dbplyr_1.4.4             rlang_0.4.10            
[34] readxl_1.3.1             rstudioapi_0.11          farver_2.0.3            
[37] generics_0.0.2           jsonlite_1.7.1           zip_2.1.1               
[40] car_3.0-10               magrittr_1.5             Matrix_1.2-18           
[43] Rcpp_1.0.5               munsell_0.5.0            fansi_0.4.1             
[46] abind_1.4-5              lifecycle_1.0.0          stringi_1.5.3           
[49] whisker_0.4              yaml_2.2.1               carData_3.0-4           
[52] MASS_7.3-53              plyr_1.8.6               grid_4.0.3              
[55] blob_1.2.1               parallel_4.0.3           promises_1.1.1          
[58] crayon_1.3.4             lattice_0.20-41          haven_2.3.1             
[61] hms_0.5.3                pillar_1.4.7             reprex_0.3.0            
[64] glue_1.4.2               evaluate_0.14            RcppArmadillo_0.10.1.2.0
[67] data.table_1.13.2        modelr_0.1.8             vctrs_0.3.5             
[70] tweenr_1.0.2             httpuv_1.5.4             cellranger_1.1.0        
[73] gtable_0.3.0             polyclip_1.10-0          reshape_0.8.8           
[76] assertthat_0.2.1         openxlsx_4.2.3           xfun_0.18               
[79] RcppEigen_0.3.3.7.0      later_1.1.0.1            viridisLite_0.3.0       
[82] ellipsis_0.3.1           here_0.1