eMLR - assumption testing

workflowr

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Last updated: 2021-06-24

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	33ffcab	jens-daniel-mueller	2021-06-10	Build site.
html	7e1f407	jens-daniel-mueller	2021-06-10	Build site.
html	2cbe18c	jens-daniel-mueller	2021-06-10	added zonal mean section control plots
html	69c79d0	jens-daniel-mueller	2021-06-08	Build site.
html	1772903	jens-daniel-mueller	2021-06-07	Build site.
html	594ed9a	jens-daniel-mueller	2021-06-04	Build site.
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html	207339d	jens-daniel-mueller	2021-06-03	Build site.
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html	50290e8	jens-daniel-mueller	2021-04-16	overlapping eras
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Rmd	da3c481	jens-daniel-mueller	2021-03-24	included model data
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html	6c0bec6	jens-daniel-mueller	2021-03-05	Build site.
html	3c2ec33	jens-daniel-mueller	2021-03-05	Build site.
html	af70b94	jens-daniel-mueller	2021-03-04	Build site.
html	86406d5	jens-daniel-mueller	2021-02-24	Build site.
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html	33ba23c	jens-daniel-mueller	2021-01-07	Build site.
html	318609d	jens-daniel-mueller	2020-12-23	adapted more variable predictor selection
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html	4d612dd	jens-daniel-mueller	2020-12-15	Build site.
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html	953caf3	jens-daniel-mueller	2020-12-15	Build site.
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html	984697e	jens-daniel-mueller	2020-12-12	Build site.
html	3ebff89	jens-daniel-mueller	2020-12-12	Build site.
html	5d96d3c	jens-daniel-mueller	2020-12-11	Build site.
Rmd	3d33a37	jens-daniel-mueller	2020-12-11	selectable basinmask, try 5
html	b01a367	jens-daniel-mueller	2020-12-09	Build site.
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Rmd	33b1973	jens-daniel-mueller	2020-12-07	run with WOCE flag 2 only
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Rmd	83203db	jens-daniel-mueller	2020-12-03	calculate cant with variable inventory depth
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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) %>%
  map(plot_fun)

[[1]]

Past versions of predictor_correlation_per_basin-1.png

Version	Author	Date
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
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
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
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
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,26.75]	0.9219378	0.9120860	0.9317897
aou + nitrate	Atlantic	(26.75,27.5]	0.7347573	0.7328230	0.7366915
aou + nitrate	Atlantic	(27.5,28.05]	0.8968150	0.8931441	0.9004859
aou + nitrate	Atlantic	(28.05,28.1]	0.9490987	0.9448367	0.9533607
aou + nitrate	Atlantic	(28.1,28.15]	0.9734742	0.9704576	0.9764909
aou + nitrate	Atlantic	(28.15,28.2]	0.9833677	0.9784249	0.9883105
aou + nitrate	Atlantic	(28.2, Inf]	0.9159017	0.8939946	0.9378088
aou + nitrate	Indo-Pacific	(-Inf,26.5]	0.9069996	0.9047756	0.9092236
aou + nitrate	Indo-Pacific	(26.5,26.75]	0.8959881	0.8880840	0.9038921
aou + nitrate	Indo-Pacific	(26.75,27]	0.9321244	0.9304104	0.9338385
aou + nitrate	Indo-Pacific	(27,27.25]	0.9576977	0.9544607	0.9609347
aou + nitrate	Indo-Pacific	(27.25,27.5]	0.9628424	0.9561982	0.9694866
aou + nitrate	Indo-Pacific	(27.5,27.75]	0.9667374	0.9628652	0.9706096
aou + nitrate	Indo-Pacific	(27.75,27.95]	0.9761818	0.9750799	0.9772837
aou + nitrate	Indo-Pacific	(27.95,28.05]	0.9641378	0.9559109	0.9723647
aou + nitrate	Indo-Pacific	(28.05,28.1]	0.9728473	0.9624769	0.9832177
aou + nitrate	Indo-Pacific	(28.1,28.2]	0.9659193	0.9592334	0.9726052
aou + nitrate	Indo-Pacific	(28.2,28.3]	0.2748598	0.2190729	0.3306467
aou + nitrate	Indo-Pacific	(28.3,28.4]	0.4567958	0.4294697	0.4841219
aou + nitrate	Indo-Pacific	(28.4, Inf]	0.0674241	-0.7799844	0.9148327
aou + phosphate	Atlantic	(-Inf,26.75]	0.8319449	0.8094244	0.8544654
aou + phosphate	Atlantic	(26.75,27.5]	0.6623890	0.6575220	0.6672560
aou + phosphate	Atlantic	(27.5,28.05]	0.8819767	0.8787576	0.8851957
aou + phosphate	Atlantic	(28.05,28.1]	0.9444911	0.9406013	0.9483808
aou + phosphate	Atlantic	(28.1,28.15]	0.9698361	0.9689888	0.9706834
aou + phosphate	Atlantic	(28.15,28.2]	0.9832457	0.9783684	0.9881229
aou + phosphate	Atlantic	(28.2, Inf]	0.9101166	0.8858966	0.9343366
aou + phosphate	Indo-Pacific	(-Inf,26.5]	0.9467593	0.9444873	0.9490313
aou + phosphate	Indo-Pacific	(26.5,26.75]	0.9388554	0.9381716	0.9395392
aou + phosphate	Indo-Pacific	(26.75,27]	0.9464121	0.9422398	0.9505844
aou + phosphate	Indo-Pacific	(27,27.25]	0.9698199	0.9668461	0.9727937
aou + phosphate	Indo-Pacific	(27.25,27.5]	0.9751273	0.9732771	0.9769776
aou + phosphate	Indo-Pacific	(27.5,27.75]	0.9779610	0.9768352	0.9790867
aou + phosphate	Indo-Pacific	(27.75,27.95]	0.9799865	0.9789740	0.9809989
aou + phosphate	Indo-Pacific	(27.95,28.05]	0.9686362	0.9640279	0.9732445
aou + phosphate	Indo-Pacific	(28.05,28.1]	0.9744752	0.9676094	0.9813409
aou + phosphate	Indo-Pacific	(28.1,28.2]	0.9607235	0.9555442	0.9659028
aou + phosphate	Indo-Pacific	(28.2,28.3]	0.2116193	0.0588809	0.3643577
aou + phosphate	Indo-Pacific	(28.3,28.4]	0.3547075	0.1854063	0.5240086
aou + phosphate	Indo-Pacific	(28.4, Inf]	-0.0009445	-0.8362895	0.8344006
aou + phosphate_star	Atlantic	(-Inf,26.75]	0.4267903	0.3897915	0.4637891
aou + phosphate_star	Atlantic	(26.75,27.5]	0.1022709	0.0325559	0.1719859
aou + phosphate_star	Atlantic	(27.5,28.05]	0.5407050	0.5281907	0.5532193
aou + phosphate_star	Atlantic	(28.05,28.1]	0.8025439	0.7852579	0.8198299
aou + phosphate_star	Atlantic	(28.1,28.15]	0.8862009	0.8797937	0.8926081
aou + phosphate_star	Atlantic	(28.15,28.2]	0.9377288	0.9185686	0.9568890
aou + phosphate_star	Atlantic	(28.2, Inf]	0.7447566	0.6874434	0.8020699
aou + phosphate_star	Indo-Pacific	(-Inf,26.5]	0.6601713	0.6585053	0.6618372
aou + phosphate_star	Indo-Pacific	(26.5,26.75]	0.4645438	0.4058481	0.5232396
aou + phosphate_star	Indo-Pacific	(26.75,27]	0.4030937	0.3601700	0.4460173
aou + phosphate_star	Indo-Pacific	(27,27.25]	0.0639288	0.0353130	0.0925447
aou + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.4199211	-0.4216926	-0.4181495
aou + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.5819334	-0.6059778	-0.5578889
aou + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.3442998	-0.4359978	-0.2526018
aou + phosphate_star	Indo-Pacific	(27.95,28.05]	0.1566629	0.1444502	0.1688756
aou + phosphate_star	Indo-Pacific	(28.05,28.1]	0.5798489	0.5397556	0.6199423
aou + phosphate_star	Indo-Pacific	(28.1,28.2]	0.1731122	0.0747809	0.2714436
aou + phosphate_star	Indo-Pacific	(28.2,28.3]	-0.6580282	-0.7786199	-0.5374366
aou + phosphate_star	Indo-Pacific	(28.3,28.4]	-0.8477109	-0.8555639	-0.8398579
aou + phosphate_star	Indo-Pacific	(28.4, Inf]	-0.9622800	-0.9916952	-0.9328648
aou + silicate	Atlantic	(-Inf,26.75]	0.7692223	0.6669905	0.8714541
aou + silicate	Atlantic	(26.75,27.5]	0.4454853	0.4163057	0.4746648
aou + silicate	Atlantic	(27.5,28.05]	0.6526596	0.6417901	0.6635291
aou + silicate	Atlantic	(28.05,28.1]	0.9500557	0.9479877	0.9521237
aou + silicate	Atlantic	(28.1,28.15]	0.9695197	0.9671578	0.9718816
aou + silicate	Atlantic	(28.15,28.2]	0.9823360	0.9822297	0.9824422
aou + silicate	Atlantic	(28.2, Inf]	0.9247422	0.9169084	0.9325761
aou + silicate	Indo-Pacific	(-Inf,26.5]	0.7637646	0.7608806	0.7666485
aou + silicate	Indo-Pacific	(26.5,26.75]	0.6290659	0.5951671	0.6629647
aou + silicate	Indo-Pacific	(26.75,27]	0.7631542	0.7496963	0.7766120
aou + silicate	Indo-Pacific	(27,27.25]	0.8841371	0.8758315	0.8924427
aou + silicate	Indo-Pacific	(27.25,27.5]	0.9184727	0.9129409	0.9240044
aou + silicate	Indo-Pacific	(27.5,27.75]	0.9337504	0.9239199	0.9435809
aou + silicate	Indo-Pacific	(27.75,27.95]	0.9380020	0.9352995	0.9407046
aou + silicate	Indo-Pacific	(27.95,28.05]	0.9556749	0.9518125	0.9595373
aou + silicate	Indo-Pacific	(28.05,28.1]	0.9702998	0.9692474	0.9713521
aou + silicate	Indo-Pacific	(28.1,28.2]	0.9233301	0.9147355	0.9319248
aou + silicate	Indo-Pacific	(28.2,28.3]	0.3294234	0.2926079	0.3662389
aou + silicate	Indo-Pacific	(28.3,28.4]	0.5245814	0.3594464	0.6897164
aou + silicate	Indo-Pacific	(28.4, Inf]	0.3522235	-0.2922564	0.9967033
nitrate + phosphate	Atlantic	(-Inf,26.75]	0.9615602	0.9552668	0.9678535
nitrate + phosphate	Atlantic	(26.75,27.5]	0.9881676	0.9879343	0.9884009
nitrate + phosphate	Atlantic	(27.5,28.05]	0.9928721	0.9910998	0.9946444
nitrate + phosphate	Atlantic	(28.05,28.1]	0.9927957	0.9900812	0.9955103
nitrate + phosphate	Atlantic	(28.1,28.15]	0.9942793	0.9922605	0.9962982
nitrate + phosphate	Atlantic	(28.15,28.2]	0.9971937	0.9966880	0.9976994
nitrate + phosphate	Atlantic	(28.2, Inf]	0.9974782	0.9970188	0.9979376
nitrate + phosphate	Indo-Pacific	(-Inf,26.5]	0.9662307	0.9655020	0.9669593
nitrate + phosphate	Indo-Pacific	(26.5,26.75]	0.9558530	0.9473075	0.9643984
nitrate + phosphate	Indo-Pacific	(26.75,27]	0.9821892	0.9779542	0.9864241
nitrate + phosphate	Indo-Pacific	(27,27.25]	0.9863959	0.9834373	0.9893545
nitrate + phosphate	Indo-Pacific	(27.25,27.5]	0.9892393	0.9871700	0.9913086
nitrate + phosphate	Indo-Pacific	(27.5,27.75]	0.9888515	0.9876480	0.9900550
nitrate + phosphate	Indo-Pacific	(27.75,27.95]	0.9894121	0.9890477	0.9897765
nitrate + phosphate	Indo-Pacific	(27.95,28.05]	0.9849700	0.9799741	0.9899659
nitrate + phosphate	Indo-Pacific	(28.05,28.1]	0.9830104	0.9777746	0.9882462
nitrate + phosphate	Indo-Pacific	(28.1,28.2]	0.9798050	0.9760047	0.9836053
nitrate + phosphate	Indo-Pacific	(28.2,28.3]	0.6256976	0.6140832	0.6373120
nitrate + phosphate	Indo-Pacific	(28.3,28.4]	0.7098878	0.6998413	0.7199343
nitrate + phosphate	Indo-Pacific	(28.4, Inf]	0.8511028	0.8254382	0.8767674
nitrate + phosphate_star	Atlantic	(-Inf,26.75]	0.7132540	0.6968432	0.7296648
nitrate + phosphate_star	Atlantic	(26.75,27.5]	0.7353636	0.6872609	0.7834662
nitrate + phosphate_star	Atlantic	(27.5,28.05]	0.8384978	0.8344124	0.8425832
nitrate + phosphate_star	Atlantic	(28.05,28.1]	0.9374606	0.9282941	0.9466271
nitrate + phosphate_star	Atlantic	(28.1,28.15]	0.9581600	0.9537276	0.9625924
nitrate + phosphate_star	Atlantic	(28.15,28.2]	0.9784355	0.9719690	0.9849020
nitrate + phosphate_star	Atlantic	(28.2, Inf]	0.9445509	0.9335003	0.9556015
nitrate + phosphate_star	Indo-Pacific	(-Inf,26.5]	0.8619981	0.8604917	0.8635046
nitrate + phosphate_star	Indo-Pacific	(26.5,26.75]	0.7265108	0.6809685	0.7720530
nitrate + phosphate_star	Indo-Pacific	(26.75,27]	0.6647387	0.6247624	0.7047151
nitrate + phosphate_star	Indo-Pacific	(27,27.25]	0.3057200	0.2734283	0.3380118
nitrate + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.1914518	-0.2169668	-0.1659367
nitrate + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.3833349	-0.3936754	-0.3729945
nitrate + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.1738538	-0.2709330	-0.0767746
nitrate + phosphate_star	Indo-Pacific	(27.95,28.05]	0.3627503	0.3387163	0.3867842
nitrate + phosphate_star	Indo-Pacific	(28.05,28.1]	0.6995471	0.6848924	0.7142018
nitrate + phosphate_star	Indo-Pacific	(28.1,28.2]	0.3604861	0.2555663	0.4654058
nitrate + phosphate_star	Indo-Pacific	(28.2,28.3]	0.2985343	0.2690993	0.3279694
nitrate + phosphate_star	Indo-Pacific	(28.3,28.4]	-0.0652030	-0.1379000	0.0074940
nitrate + phosphate_star	Indo-Pacific	(28.4, Inf]	0.0128156	-0.7836413	0.8092725
nitrate + silicate	Atlantic	(-Inf,26.75]	0.8868407	0.8173009	0.9563805
nitrate + silicate	Atlantic	(26.75,27.5]	0.8434800	0.8274461	0.8595139
nitrate + silicate	Atlantic	(27.5,28.05]	0.8245321	0.8108955	0.8381687
nitrate + silicate	Atlantic	(28.05,28.1]	0.9885444	0.9870556	0.9900332
nitrate + silicate	Atlantic	(28.1,28.15]	0.9895974	0.9880753	0.9911195
nitrate + silicate	Atlantic	(28.15,28.2]	0.9909078	0.9893701	0.9924455
nitrate + silicate	Atlantic	(28.2, Inf]	0.9874227	0.9821216	0.9927237
nitrate + silicate	Indo-Pacific	(-Inf,26.5]	0.8705403	0.8625069	0.8785736
nitrate + silicate	Indo-Pacific	(26.5,26.75]	0.8057032	0.7762626	0.8351439
nitrate + silicate	Indo-Pacific	(26.75,27]	0.8536859	0.8394374	0.8679345
nitrate + silicate	Indo-Pacific	(27,27.25]	0.9055860	0.9021601	0.9090119
nitrate + silicate	Indo-Pacific	(27.25,27.5]	0.9078440	0.9043527	0.9113354
nitrate + silicate	Indo-Pacific	(27.5,27.75]	0.9059516	0.9034612	0.9084420
nitrate + silicate	Indo-Pacific	(27.75,27.95]	0.9248011	0.9213081	0.9282941
nitrate + silicate	Indo-Pacific	(27.95,28.05]	0.9540952	0.9410466	0.9671438
nitrate + silicate	Indo-Pacific	(28.05,28.1]	0.9607460	0.9479002	0.9735918
nitrate + silicate	Indo-Pacific	(28.1,28.2]	0.9481354	0.9473578	0.9489129
nitrate + silicate	Indo-Pacific	(28.2,28.3]	0.5153530	0.4775153	0.5531907
nitrate + silicate	Indo-Pacific	(28.3,28.4]	0.7423907	0.6884716	0.7963099
nitrate + silicate	Indo-Pacific	(28.4, Inf]	0.8556500	0.7964885	0.9148115
phosphate + phosphate_star	Atlantic	(-Inf,26.75]	0.8543575	0.8537186	0.8549963
phosphate + phosphate_star	Atlantic	(26.75,27.5]	0.8080866	0.7705365	0.8456368
phosphate + phosphate_star	Atlantic	(27.5,28.05]	0.8666981	0.8622415	0.8711547
phosphate + phosphate_star	Atlantic	(28.05,28.1]	0.9529650	0.9477016	0.9582284
phosphate + phosphate_star	Atlantic	(28.1,28.15]	0.9716825	0.9690786	0.9742864
phosphate + phosphate_star	Atlantic	(28.15,28.2]	0.9840530	0.9786414	0.9894646
phosphate + phosphate_star	Atlantic	(28.2, Inf]	0.9523402	0.9440046	0.9606758
phosphate + phosphate_star	Indo-Pacific	(-Inf,26.5]	0.8626172	0.8606048	0.8646295
phosphate + phosphate_star	Indo-Pacific	(26.5,26.75]	0.7380262	0.6944606	0.7815919
phosphate + phosphate_star	Indo-Pacific	(26.75,27]	0.6736826	0.6292009	0.7181642
phosphate + phosphate_star	Indo-Pacific	(27,27.25]	0.3001194	0.2853697	0.3148691
phosphate + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.2183020	-0.2236994	-0.2129046
phosphate + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.4152368	-0.4397117	-0.3907620
phosphate + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.1666398	-0.2702407	-0.0630390
phosphate + phosphate_star	Indo-Pacific	(27.95,28.05]	0.3907716	0.3615486	0.4199947
phosphate + phosphate_star	Indo-Pacific	(28.05,28.1]	0.7444246	0.7325013	0.7563480
phosphate + phosphate_star	Indo-Pacific	(28.1,28.2]	0.4332997	0.3266942	0.5399051
phosphate + phosphate_star	Indo-Pacific	(28.2,28.3]	0.5711379	0.5631220	0.5791537
phosphate + phosphate_star	Indo-Pacific	(28.3,28.4]	0.1823821	-0.0096990	0.3744632
phosphate + phosphate_star	Indo-Pacific	(28.4, Inf]	0.1593565	-0.5803584	0.8990714
sal + aou	Atlantic	(-Inf,26.75]	-0.2675165	-0.3030547	-0.2319782
sal + aou	Atlantic	(26.75,27.5]	-0.0634547	-0.1097481	-0.0171612
sal + aou	Atlantic	(27.5,28.05]	-0.4056452	-0.4610412	-0.3502492
sal + aou	Atlantic	(28.05,28.1]	-0.6860982	-0.7245052	-0.6476912
sal + aou	Atlantic	(28.1,28.15]	-0.7826051	-0.8139114	-0.7512989
sal + aou	Atlantic	(28.15,28.2]	-0.8967613	-0.9249218	-0.8686009
sal + aou	Atlantic	(28.2, Inf]	-0.7270512	-0.8166135	-0.6374889
sal + aou	Indo-Pacific	(-Inf,26.5]	-0.1649041	-0.2527799	-0.0770283
sal + aou	Indo-Pacific	(26.5,26.75]	-0.1796718	-0.3315887	-0.0277548
sal + aou	Indo-Pacific	(26.75,27]	-0.2374141	-0.3426811	-0.1321470
sal + aou	Indo-Pacific	(27,27.25]	-0.0472812	-0.0797930	-0.0147695
sal + aou	Indo-Pacific	(27.25,27.5]	0.1587924	0.1493681	0.1682167
sal + aou	Indo-Pacific	(27.5,27.75]	0.0864309	0.0331757	0.1396860
sal + aou	Indo-Pacific	(27.75,27.95]	-0.1455605	-0.2820178	-0.0091032
sal + aou	Indo-Pacific	(27.95,28.05]	-0.3223884	-0.3485604	-0.2962164
sal + aou	Indo-Pacific	(28.05,28.1]	-0.6507911	-0.6701110	-0.6314712
sal + aou	Indo-Pacific	(28.1,28.2]	-0.5865532	-0.6669830	-0.5061233
sal + aou	Indo-Pacific	(28.2,28.3]	0.7674122	0.7597751	0.7750494
sal + aou	Indo-Pacific	(28.3,28.4]	0.8937902	0.8705147	0.9170658
sal + aou	Indo-Pacific	(28.4, Inf]	0.8158317	0.6657295	0.9659339
sal + nitrate	Atlantic	(-Inf,26.75]	-0.5449543	-0.5702710	-0.5196377
sal + nitrate	Atlantic	(26.75,27.5]	-0.6559300	-0.6979612	-0.6138988
sal + nitrate	Atlantic	(27.5,28.05]	-0.7012180	-0.7395440	-0.6628920
sal + nitrate	Atlantic	(28.05,28.1]	-0.8468670	-0.8710785	-0.8226555
sal + nitrate	Atlantic	(28.1,28.15]	-0.8719449	-0.8992803	-0.8446096
sal + nitrate	Atlantic	(28.15,28.2]	-0.9389593	-0.9477932	-0.9301254
sal + nitrate	Atlantic	(28.2, Inf]	-0.9309224	-0.9571404	-0.9047044
sal + nitrate	Indo-Pacific	(-Inf,26.5]	-0.4419243	-0.5251215	-0.3587270
sal + nitrate	Indo-Pacific	(26.5,26.75]	-0.5141789	-0.6361151	-0.3922426
sal + nitrate	Indo-Pacific	(26.75,27]	-0.5077206	-0.6009245	-0.4145168
sal + nitrate	Indo-Pacific	(27,27.25]	-0.2491444	-0.2651426	-0.2331462
sal + nitrate	Indo-Pacific	(27.25,27.5]	-0.0020602	-0.0361138	0.0319934
sal + nitrate	Indo-Pacific	(27.5,27.75]	-0.0646522	-0.0857306	-0.0435737
sal + nitrate	Indo-Pacific	(27.75,27.95]	-0.2802775	-0.4041109	-0.1564441
sal + nitrate	Indo-Pacific	(27.95,28.05]	-0.4996616	-0.5412834	-0.4580398
sal + nitrate	Indo-Pacific	(28.05,28.1]	-0.7590453	-0.7681962	-0.7498944
sal + nitrate	Indo-Pacific	(28.1,28.2]	-0.7088780	-0.7910158	-0.6267402
sal + nitrate	Indo-Pacific	(28.2,28.3]	-0.0761630	-0.0909445	-0.0613814
sal + nitrate	Indo-Pacific	(28.3,28.4]	0.2827701	0.1380781	0.4274622
sal + nitrate	Indo-Pacific	(28.4, Inf]	-0.1119816	-0.8525268	0.6285635
sal + phosphate	Atlantic	(-Inf,26.75]	-0.7283614	-0.7331728	-0.7235500
sal + phosphate	Atlantic	(26.75,27.5]	-0.7404398	-0.7729321	-0.7079476
sal + phosphate	Atlantic	(27.5,28.05]	-0.7320514	-0.7697011	-0.6944017
sal + phosphate	Atlantic	(28.05,28.1]	-0.8570073	-0.8821478	-0.8318667
sal + phosphate	Atlantic	(28.1,28.15]	-0.8834576	-0.9117065	-0.8552088
sal + phosphate	Atlantic	(28.15,28.2]	-0.9427666	-0.9525260	-0.9330072
sal + phosphate	Atlantic	(28.2, Inf]	-0.9364864	-0.9597047	-0.9132680
sal + phosphate	Indo-Pacific	(-Inf,26.5]	-0.3723921	-0.4564658	-0.2883184
sal + phosphate	Indo-Pacific	(26.5,26.75]	-0.4582979	-0.5939950	-0.3226009
sal + phosphate	Indo-Pacific	(26.75,27]	-0.4947071	-0.6018992	-0.3875151
sal + phosphate	Indo-Pacific	(27,27.25]	-0.2234568	-0.2669599	-0.1799537
sal + phosphate	Indo-Pacific	(27.25,27.5]	0.0492315	0.0465916	0.0518714
sal + phosphate	Indo-Pacific	(27.5,27.75]	0.0134774	-0.0301109	0.0570657
sal + phosphate	Indo-Pacific	(27.75,27.95]	-0.2269422	-0.3629583	-0.0909261
sal + phosphate	Indo-Pacific	(27.95,28.05]	-0.4741546	-0.5235740	-0.4247352
sal + phosphate	Indo-Pacific	(28.05,28.1]	-0.7430617	-0.7570307	-0.7290928
sal + phosphate	Indo-Pacific	(28.1,28.2]	-0.7042751	-0.7868099	-0.6217403
sal + phosphate	Indo-Pacific	(28.2,28.3]	-0.1388746	-0.2934675	0.0157184
sal + phosphate	Indo-Pacific	(28.3,28.4]	0.2151997	-0.0639934	0.4943927
sal + phosphate	Indo-Pacific	(28.4, Inf]	-0.1334796	-0.7753150	0.5083557
sal + phosphate_star	Atlantic	(-Inf,26.75]	-0.9504362	-0.9549173	-0.9459552
sal + phosphate_star	Atlantic	(26.75,27.5]	-0.9486333	-0.9551650	-0.9421015
sal + phosphate_star	Atlantic	(27.5,28.05]	-0.9039424	-0.9108590	-0.8970258
sal + phosphate_star	Atlantic	(28.05,28.1]	-0.9456402	-0.9584260	-0.9328544
sal + phosphate_star	Atlantic	(28.1,28.15]	-0.9451337	-0.9648690	-0.9253983
sal + phosphate_star	Atlantic	(28.15,28.2]	-0.9685063	-0.9689528	-0.9680598
sal + phosphate_star	Atlantic	(28.2, Inf]	-0.9838504	-0.9852016	-0.9824992
sal + phosphate_star	Indo-Pacific	(-Inf,26.5]	-0.6641349	-0.7192689	-0.6090009
sal + phosphate_star	Indo-Pacific	(26.5,26.75]	-0.8771653	-0.9117010	-0.8426296
sal + phosphate_star	Indo-Pacific	(26.75,27]	-0.9099061	-0.9319989	-0.8878133
sal + phosphate_star	Indo-Pacific	(27,27.25]	-0.8380347	-0.8390614	-0.8370079
sal + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.6845354	-0.7224392	-0.6466317
sal + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.5306034	-0.6015330	-0.4596737
sal + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.5069501	-0.5697770	-0.4441231
sal + phosphate_star	Indo-Pacific	(27.95,28.05]	-0.7822442	-0.8230360	-0.7414523
sal + phosphate_star	Indo-Pacific	(28.05,28.1]	-0.8261929	-0.8746887	-0.7776971
sal + phosphate_star	Indo-Pacific	(28.1,28.2]	-0.6650257	-0.7162381	-0.6138133
sal + phosphate_star	Indo-Pacific	(28.2,28.3]	-0.7514781	-0.8279833	-0.6749729
sal + phosphate_star	Indo-Pacific	(28.3,28.4]	-0.8185128	-0.8573830	-0.7796426
sal + phosphate_star	Indo-Pacific	(28.4, Inf]	-0.8001689	-0.9464129	-0.6539248
sal + silicate	Atlantic	(-Inf,26.75]	-0.6611984	-0.6634664	-0.6589304
sal + silicate	Atlantic	(26.75,27.5]	-0.6944933	-0.7211433	-0.6678434
sal + silicate	Atlantic	(27.5,28.05]	-0.6610538	-0.6753419	-0.6467656
sal + silicate	Atlantic	(28.05,28.1]	-0.8578138	-0.8855425	-0.8300851
sal + silicate	Atlantic	(28.1,28.15]	-0.8844371	-0.9080410	-0.8608331
sal + silicate	Atlantic	(28.15,28.2]	-0.9219589	-0.9334100	-0.9105077
sal + silicate	Atlantic	(28.2, Inf]	-0.8955266	-0.9479838	-0.8430695
sal + silicate	Indo-Pacific	(-Inf,26.5]	-0.5475024	-0.6031531	-0.4918518
sal + silicate	Indo-Pacific	(26.5,26.75]	-0.7319217	-0.8078366	-0.6560068
sal + silicate	Indo-Pacific	(26.75,27]	-0.6993114	-0.7623055	-0.6363172
sal + silicate	Indo-Pacific	(27,27.25]	-0.4122520	-0.4371268	-0.3873771
sal + silicate	Indo-Pacific	(27.25,27.5]	-0.1016233	-0.1052808	-0.0979658
sal + silicate	Indo-Pacific	(27.5,27.75]	-0.0292285	-0.0375289	-0.0209281
sal + silicate	Indo-Pacific	(27.75,27.95]	-0.1374900	-0.2334503	-0.0415297
sal + silicate	Indo-Pacific	(27.95,28.05]	-0.4063616	-0.4407997	-0.3719235
sal + silicate	Indo-Pacific	(28.05,28.1]	-0.6868107	-0.7024321	-0.6711893
sal + silicate	Indo-Pacific	(28.1,28.2]	-0.6610136	-0.7306539	-0.5913732
sal + silicate	Indo-Pacific	(28.2,28.3]	0.2868543	0.2653843	0.3083243
sal + silicate	Indo-Pacific	(28.3,28.4]	0.3527492	0.0876340	0.6178644
sal + silicate	Indo-Pacific	(28.4, Inf]	0.0939139	-0.4844462	0.6722739
sal + temp	Atlantic	(-Inf,26.75]	0.9428175	0.9375417	0.9480932
sal + temp	Atlantic	(26.75,27.5]	0.9387580	0.9360429	0.9414731
sal + temp	Atlantic	(27.5,28.05]	0.7898183	0.7479624	0.8316741
sal + temp	Atlantic	(28.05,28.1]	0.9642100	0.9565512	0.9718689
sal + temp	Atlantic	(28.1,28.15]	0.9523286	0.9261635	0.9784937
sal + temp	Atlantic	(28.15,28.2]	0.7229426	0.5218779	0.9240073
sal + temp	Atlantic	(28.2, Inf]	0.3809942	0.3664764	0.3955121
sal + temp	Indo-Pacific	(-Inf,26.5]	0.7691432	0.7418919	0.7963945
sal + temp	Indo-Pacific	(26.5,26.75]	0.9801741	0.9783155	0.9820327
sal + temp	Indo-Pacific	(26.75,27]	0.9778318	0.9756299	0.9800336
sal + temp	Indo-Pacific	(27,27.25]	0.9512448	0.9495983	0.9528913
sal + temp	Indo-Pacific	(27.25,27.5]	0.8875808	0.8626891	0.9124725
sal + temp	Indo-Pacific	(27.5,27.75]	0.7539705	0.6939348	0.8140062
sal + temp	Indo-Pacific	(27.75,27.95]	0.5652224	0.4713586	0.6590862
sal + temp	Indo-Pacific	(27.95,28.05]	0.7520745	0.7336838	0.7704651
sal + temp	Indo-Pacific	(28.05,28.1]	0.5926248	0.4730498	0.7121997
sal + temp	Indo-Pacific	(28.1,28.2]	-0.0394063	-0.0696653	-0.0091474
sal + temp	Indo-Pacific	(28.2,28.3]	0.8037933	0.7886547	0.8189320
sal + temp	Indo-Pacific	(28.3,28.4]	0.8821359	0.8486371	0.9156347
sal + temp	Indo-Pacific	(28.4, Inf]	0.3193551	-0.0287948	0.6675049
silicate + phosphate	Atlantic	(-Inf,26.75]	0.9105311	0.8506664	0.9703958
silicate + phosphate	Atlantic	(26.75,27.5]	0.8720858	0.8613496	0.8828220
silicate + phosphate	Atlantic	(27.5,28.05]	0.8440835	0.8323826	0.8557845
silicate + phosphate	Atlantic	(28.05,28.1]	0.9880889	0.9854910	0.9906869
silicate + phosphate	Atlantic	(28.1,28.15]	0.9903347	0.9886040	0.9920655
silicate + phosphate	Atlantic	(28.15,28.2]	0.9903723	0.9891227	0.9916219
silicate + phosphate	Atlantic	(28.2, Inf]	0.9849532	0.9786032	0.9913032
silicate + phosphate	Indo-Pacific	(-Inf,26.5]	0.8421359	0.8372821	0.8469898
silicate + phosphate	Indo-Pacific	(26.5,26.75]	0.7723509	0.7360294	0.8086723
silicate + phosphate	Indo-Pacific	(26.75,27]	0.8552598	0.8383294	0.8721902
silicate + phosphate	Indo-Pacific	(27,27.25]	0.9081968	0.8997334	0.9166601
silicate + phosphate	Indo-Pacific	(27.25,27.5]	0.9094010	0.9064684	0.9123336
silicate + phosphate	Indo-Pacific	(27.5,27.75]	0.9056521	0.8971500	0.9141543
silicate + phosphate	Indo-Pacific	(27.75,27.95]	0.9267063	0.9266647	0.9267479
silicate + phosphate	Indo-Pacific	(27.95,28.05]	0.9656982	0.9638602	0.9675361
silicate + phosphate	Indo-Pacific	(28.05,28.1]	0.9683066	0.9642130	0.9724001
silicate + phosphate	Indo-Pacific	(28.1,28.2]	0.9418059	0.9403079	0.9433039
silicate + phosphate	Indo-Pacific	(28.2,28.3]	0.3797430	0.2777108	0.4817752
silicate + phosphate	Indo-Pacific	(28.3,28.4]	0.6351546	0.6212805	0.6490287
silicate + phosphate	Indo-Pacific	(28.4, Inf]	0.6038322	0.3632331	0.8444314
silicate + phosphate_star	Atlantic	(-Inf,26.75]	0.7727361	0.7587442	0.7867279
silicate + phosphate_star	Atlantic	(26.75,27.5]	0.8212962	0.8036893	0.8389030
silicate + phosphate_star	Atlantic	(27.5,28.05]	0.8637622	0.8604533	0.8670712
silicate + phosphate_star	Atlantic	(28.05,28.1]	0.9313405	0.9202643	0.9424166
silicate + phosphate_star	Atlantic	(28.1,28.15]	0.9566304	0.9528931	0.9603677
silicate + phosphate_star	Atlantic	(28.15,28.2]	0.9655789	0.9575008	0.9736571
silicate + phosphate_star	Atlantic	(28.2, Inf]	0.9178967	0.8877971	0.9479962
silicate + phosphate_star	Indo-Pacific	(-Inf,26.5]	0.8057597	0.8010636	0.8104558
silicate + phosphate_star	Indo-Pacific	(26.5,26.75]	0.8009553	0.7608913	0.8410192
silicate + phosphate_star	Indo-Pacific	(26.75,27]	0.7289835	0.7005518	0.7574152
silicate + phosphate_star	Indo-Pacific	(27,27.25]	0.3330441	0.3003911	0.3656971
silicate + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.2371429	-0.2565775	-0.2177084
silicate + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.4731618	-0.4809501	-0.4653736
silicate + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.2081580	-0.3089680	-0.1073480
silicate + phosphate_star	Indo-Pacific	(27.95,28.05]	0.3296692	0.3072335	0.3521049
silicate + phosphate_star	Indo-Pacific	(28.05,28.1]	0.6568120	0.6199039	0.6937201
silicate + phosphate_star	Indo-Pacific	(28.1,28.2]	0.3867025	0.3197193	0.4536858
silicate + phosphate_star	Indo-Pacific	(28.2,28.3]	0.0988496	0.0163129	0.1813862
silicate + phosphate_star	Indo-Pacific	(28.3,28.4]	-0.1846511	-0.4162458	0.0469437
silicate + phosphate_star	Indo-Pacific	(28.4, Inf]	-0.3069552	-0.9219632	0.3080529
temp + aou	Atlantic	(-Inf,26.75]	-0.3675574	-0.3975029	-0.3376120
temp + aou	Atlantic	(26.75,27.5]	-0.0340133	-0.0917460	0.0237194
temp + aou	Atlantic	(27.5,28.05]	-0.1423335	-0.1428071	-0.1418600
temp + aou	Atlantic	(28.05,28.1]	-0.5495277	-0.6150323	-0.4840230
temp + aou	Atlantic	(28.1,28.15]	-0.6082813	-0.7050346	-0.5115279
temp + aou	Atlantic	(28.15,28.2]	-0.5150381	-0.7848034	-0.2452728
temp + aou	Atlantic	(28.2, Inf]	0.0718070	-0.0351020	0.1787160
temp + aou	Indo-Pacific	(-Inf,26.5]	-0.3447603	-0.3885467	-0.3009740
temp + aou	Indo-Pacific	(26.5,26.75]	-0.1562299	-0.2913356	-0.0211243
temp + aou	Indo-Pacific	(26.75,27]	-0.2351995	-0.3263119	-0.1440871
temp + aou	Indo-Pacific	(27,27.25]	-0.0982166	-0.1004562	-0.0959771
temp + aou	Indo-Pacific	(27.25,27.5]	0.1142002	0.0965913	0.1318091
temp + aou	Indo-Pacific	(27.5,27.75]	0.1413862	0.0642882	0.2184843
temp + aou	Indo-Pacific	(27.75,27.95]	0.1586359	0.0494742	0.2677975
temp + aou	Indo-Pacific	(27.95,28.05]	0.1569604	0.1189658	0.1949551
temp + aou	Indo-Pacific	(28.05,28.1]	0.0626342	-0.0161763	0.1414447
temp + aou	Indo-Pacific	(28.1,28.2]	0.7133240	0.6542161	0.7724320
temp + aou	Indo-Pacific	(28.2,28.3]	0.6914706	0.6742180	0.7087232
temp + aou	Indo-Pacific	(28.3,28.4]	0.9674659	0.9629280	0.9720038
temp + aou	Indo-Pacific	(28.4, Inf]	0.5983564	0.2026127	0.9941001
temp + nitrate	Atlantic	(-Inf,26.75]	-0.6611143	-0.6795633	-0.6426653
temp + nitrate	Atlantic	(26.75,27.5]	-0.6374035	-0.6859112	-0.5888959
temp + nitrate	Atlantic	(27.5,28.05]	-0.4510431	-0.4688044	-0.4332818
temp + nitrate	Atlantic	(28.05,28.1]	-0.7453702	-0.7913462	-0.6993941
temp + nitrate	Atlantic	(28.1,28.15]	-0.7268968	-0.8130071	-0.6407865
temp + nitrate	Atlantic	(28.15,28.2]	-0.5521696	-0.8055827	-0.2987566
temp + nitrate	Atlantic	(28.2, Inf]	-0.1740200	-0.2447667	-0.1032734
temp + nitrate	Indo-Pacific	(-Inf,26.5]	-0.6277197	-0.6663205	-0.5891189
temp + nitrate	Indo-Pacific	(26.5,26.75]	-0.5056024	-0.6148060	-0.3963988
temp + nitrate	Indo-Pacific	(26.75,27]	-0.5236608	-0.6039379	-0.4433838
temp + nitrate	Indo-Pacific	(27,27.25]	-0.3255338	-0.3342772	-0.3167903
temp + nitrate	Indo-Pacific	(27.25,27.5]	-0.0802870	-0.1015463	-0.0590278
temp + nitrate	Indo-Pacific	(27.5,27.75]	-0.0083725	-0.0562566	0.0395117
temp + nitrate	Indo-Pacific	(27.75,27.95]	0.0553523	-0.0481412	0.1588458
temp + nitrate	Indo-Pacific	(27.95,28.05]	-0.0296729	-0.0847309	0.0253851
temp + nitrate	Indo-Pacific	(28.05,28.1]	-0.0828724	-0.2003620	0.0346172
temp + nitrate	Indo-Pacific	(28.1,28.2]	0.5821352	0.4998491	0.6644214
temp + nitrate	Indo-Pacific	(28.2,28.3]	-0.2525937	-0.3233088	-0.1818785
temp + nitrate	Indo-Pacific	(28.3,28.4]	0.4678037	0.4206118	0.5149957
temp + nitrate	Indo-Pacific	(28.4, Inf]	0.6085117	0.3017891	0.9152342
temp + phosphate	Atlantic	(-Inf,26.75]	-0.7855884	-0.7863541	-0.7848228
temp + phosphate	Atlantic	(26.75,27.5]	-0.7117794	-0.7488798	-0.6746790
temp + phosphate	Atlantic	(27.5,28.05]	-0.4861483	-0.4938850	-0.4784115
temp + phosphate	Atlantic	(28.05,28.1]	-0.7578136	-0.8032136	-0.7124135
temp + phosphate	Atlantic	(28.1,28.15]	-0.7435890	-0.8293291	-0.6578488
temp + phosphate	Atlantic	(28.15,28.2]	-0.5620415	-0.8130689	-0.3110141
temp + phosphate	Atlantic	(28.2, Inf]	-0.1849117	-0.2469789	-0.1228445
temp + phosphate	Indo-Pacific	(-Inf,26.5]	-0.5726383	-0.6121888	-0.5330877
temp + phosphate	Indo-Pacific	(26.5,26.75]	-0.4504920	-0.5719783	-0.3290058
temp + phosphate	Indo-Pacific	(26.75,27]	-0.5073592	-0.6002255	-0.4144930
temp + phosphate	Indo-Pacific	(27,27.25]	-0.2945875	-0.3109667	-0.2782082
temp + phosphate	Indo-Pacific	(27.25,27.5]	-0.0271339	-0.0349083	-0.0193594
temp + phosphate	Indo-Pacific	(27.5,27.75]	0.0652267	-0.0013572	0.1318107
temp + phosphate	Indo-Pacific	(27.75,27.95]	0.1022351	-0.0098033	0.2142735
temp + phosphate	Indo-Pacific	(27.95,28.05]	-0.0084145	-0.0697969	0.0529680
temp + phosphate	Indo-Pacific	(28.05,28.1]	-0.0603086	-0.1804416	0.0598243
temp + phosphate	Indo-Pacific	(28.1,28.2]	0.5886200	0.5119257	0.6653143
temp + phosphate	Indo-Pacific	(28.2,28.3]	-0.2030941	-0.3190075	-0.0871807
temp + phosphate	Indo-Pacific	(28.3,28.4]	0.3641612	0.1689948	0.5593276
temp + phosphate	Indo-Pacific	(28.4, Inf]	0.3770895	-0.0540297	0.8082088
temp + phosphate_star	Atlantic	(-Inf,26.75]	-0.9636650	-0.9645233	-0.9628068
temp + phosphate_star	Atlantic	(26.75,27.5]	-0.9517862	-0.9534442	-0.9501282
temp + phosphate_star	Atlantic	(27.5,28.05]	-0.8054272	-0.8173145	-0.7935399
temp + phosphate_star	Atlantic	(28.05,28.1]	-0.8970696	-0.9200478	-0.8740913
temp + phosphate_star	Atlantic	(28.1,28.15]	-0.8527863	-0.9149822	-0.7905904
temp + phosphate_star	Atlantic	(28.15,28.2]	-0.6404371	-0.8487223	-0.4321519
temp + phosphate_star	Atlantic	(28.2, Inf]	-0.4066884	-0.4401980	-0.3731789
temp + phosphate_star	Indo-Pacific	(-Inf,26.5]	-0.8666173	-0.8838350	-0.8493996
temp + phosphate_star	Indo-Pacific	(26.5,26.75]	-0.8991519	-0.9274520	-0.8708518
temp + phosphate_star	Indo-Pacific	(26.75,27]	-0.9453234	-0.9584483	-0.9321985
temp + phosphate_star	Indo-Pacific	(27,27.25]	-0.9184281	-0.9215466	-0.9153095
temp + phosphate_star	Indo-Pacific	(27.25,27.5]	-0.8027688	-0.8247275	-0.7808100
temp + phosphate_star	Indo-Pacific	(27.5,27.75]	-0.6529507	-0.7229174	-0.5829841
temp + phosphate_star	Indo-Pacific	(27.75,27.95]	-0.6409554	-0.6802535	-0.6016572
temp + phosphate_star	Indo-Pacific	(27.95,28.05]	-0.7530159	-0.7829975	-0.7230343
temp + phosphate_star	Indo-Pacific	(28.05,28.1]	-0.4947287	-0.6384470	-0.3510104
temp + phosphate_star	Indo-Pacific	(28.1,28.2]	-0.2841302	-0.3088390	-0.2594214
temp + phosphate_star	Indo-Pacific	(28.2,28.3]	-0.7887046	-0.8449513	-0.7324580
temp + phosphate_star	Indo-Pacific	(28.3,28.4]	-0.8099844	-0.8162659	-0.8037028
temp + phosphate_star	Indo-Pacific	(28.4, Inf]	-0.5673101	-0.9437660	-0.1908541
temp + silicate	Atlantic	(-Inf,26.75]	-0.7139246	-0.7146075	-0.7132416
temp + silicate	Atlantic	(26.75,27.5]	-0.7680500	-0.7824444	-0.7536557
temp + silicate	Atlantic	(27.5,28.05]	-0.6822528	-0.7116877	-0.6528179
temp + silicate	Atlantic	(28.05,28.1]	-0.7570171	-0.8063942	-0.7076400
temp + silicate	Atlantic	(28.1,28.15]	-0.7434158	-0.8222963	-0.6645354
temp + silicate	Atlantic	(28.15,28.2]	-0.5256120	-0.7828670	-0.2683571
temp + silicate	Atlantic	(28.2, Inf]	-0.1288399	-0.2282288	-0.0294510
temp + silicate	Indo-Pacific	(-Inf,26.5]	-0.6329548	-0.6639524	-0.6019571
temp + silicate	Indo-Pacific	(26.5,26.75]	-0.7334713	-0.8008645	-0.6660782
temp + silicate	Indo-Pacific	(26.75,27]	-0.6989372	-0.7500964	-0.6477781
temp + silicate	Indo-Pacific	(27,27.25]	-0.4623922	-0.4717644	-0.4530201
temp + silicate	Indo-Pacific	(27.25,27.5]	-0.1957483	-0.2003163	-0.1911803
temp + silicate	Indo-Pacific	(27.5,27.75]	-0.1186759	-0.1645772	-0.0727746
temp + silicate	Indo-Pacific	(27.75,27.95]	-0.0683869	-0.1869941	0.0502204
temp + silicate	Indo-Pacific	(27.95,28.05]	-0.0276649	-0.0824426	0.0271128
temp + silicate	Indo-Pacific	(28.05,28.1]	-0.0219106	-0.1126213	0.0688001
temp + silicate	Indo-Pacific	(28.1,28.2]	0.5473031	0.4804629	0.6141433
temp + silicate	Indo-Pacific	(28.2,28.3]	-0.0248469	-0.0381835	-0.0115103
temp + silicate	Indo-Pacific	(28.3,28.4]	0.5774959	0.4070246	0.7479673
temp + silicate	Indo-Pacific	(28.4, Inf]	0.8587525	0.7248520	0.9926531

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
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,26.75]	-0.2523410	-0.3738109	-0.1308711
aou	Atlantic	(26.75,27.5]	-0.3363158	-0.3798404	-0.2927912
aou	Atlantic	(27.5,28.05]	-0.8136640	-0.8326780	-0.7946500
aou	Atlantic	(28.05,28.1]	-0.8112307	-0.8258037	-0.7966578
aou	Atlantic	(28.1,28.15]	-0.8060864	-0.8562593	-0.7559135
aou	Atlantic	(28.15,28.2]	-0.8916077	-0.8919783	-0.8912371
aou	Atlantic	(28.2, Inf]	-0.8388652	-0.8738817	-0.8038487
aou	Indo-Pacific	(-Inf,26.5]	-0.6202987	-0.6960652	-0.5445321
aou	Indo-Pacific	(26.5,26.75]	-0.7183790	-0.7223628	-0.7143953
aou	Indo-Pacific	(26.75,27]	-0.6934316	-0.7206742	-0.6661891
aou	Indo-Pacific	(27,27.25]	0.0137947	-0.0540984	0.0816878
aou	Indo-Pacific	(27.25,27.5]	0.5746989	0.5656262	0.5837716
aou	Indo-Pacific	(27.5,27.75]	0.7124999	0.6948523	0.7301476
aou	Indo-Pacific	(27.75,27.95]	0.6857049	0.6654127	0.7059972
aou	Indo-Pacific	(27.95,28.05]	0.4472651	0.4453553	0.4491749
aou	Indo-Pacific	(28.05,28.1]	0.2325754	0.1574055	0.3077453
aou	Indo-Pacific	(28.1,28.2]	0.2239419	0.1218907	0.3259931
aou	Indo-Pacific	(28.2,28.3]	0.1311628	0.0625395	0.1997861
aou	Indo-Pacific	(28.3,28.4]	0.1114557	0.0076833	0.2152281
aou	Indo-Pacific	(28.4, Inf]	0.1192655	-0.7190771	0.9576081
nitrate	Atlantic	(-Inf,26.75]	-0.5009807	-0.5969220	-0.4050394
nitrate	Atlantic	(26.75,27.5]	-0.8441943	-0.8637963	-0.8245923
nitrate	Atlantic	(27.5,28.05]	-0.9402097	-0.9477493	-0.9326701
nitrate	Atlantic	(28.05,28.1]	-0.8633873	-0.8780941	-0.8486805
nitrate	Atlantic	(28.1,28.15]	-0.8339329	-0.8863172	-0.7815487
nitrate	Atlantic	(28.15,28.2]	-0.9171837	-0.9197336	-0.9146337
nitrate	Atlantic	(28.2, Inf]	-0.9752043	-0.9755530	-0.9748557
nitrate	Indo-Pacific	(-Inf,26.5]	-0.6201571	-0.6965460	-0.5437682
nitrate	Indo-Pacific	(26.5,26.75]	-0.8538894	-0.8634381	-0.8443406
nitrate	Indo-Pacific	(26.75,27]	-0.8177018	-0.8205756	-0.8148281
nitrate	Indo-Pacific	(27,27.25]	-0.0685059	-0.1029194	-0.0340925
nitrate	Indo-Pacific	(27.25,27.5]	0.5114059	0.5070666	0.5157452
nitrate	Indo-Pacific	(27.5,27.75]	0.6574716	0.6536733	0.6612699
nitrate	Indo-Pacific	(27.75,27.95]	0.6368510	0.6329432	0.6407588
nitrate	Indo-Pacific	(27.95,28.05]	0.3777702	0.3499823	0.4055580
nitrate	Indo-Pacific	(28.05,28.1]	0.1692745	0.0628746	0.2756745
nitrate	Indo-Pacific	(28.1,28.2]	0.1326786	0.0012734	0.2640838
nitrate	Indo-Pacific	(28.2,28.3]	-0.2509985	-0.2885918	-0.2134052
nitrate	Indo-Pacific	(28.3,28.4]	-0.4936863	-0.5047263	-0.4826463
nitrate	Indo-Pacific	(28.4, Inf]	-0.8080749	-0.8203519	-0.7957978
phosphate	Atlantic	(-Inf,26.75]	-0.6446458	-0.7282780	-0.5610136
phosphate	Atlantic	(26.75,27.5]	-0.8975936	-0.9113270	-0.8838602
phosphate	Atlantic	(27.5,28.05]	-0.9475280	-0.9508485	-0.9442075
phosphate	Atlantic	(28.05,28.1]	-0.8740459	-0.8815148	-0.8665771
phosphate	Atlantic	(28.1,28.15]	-0.8391184	-0.8899541	-0.7882826
phosphate	Atlantic	(28.15,28.2]	-0.9210349	-0.9265120	-0.9155577
phosphate	Atlantic	(28.2, Inf]	-0.9813624	-0.9814016	-0.9813233
phosphate	Indo-Pacific	(-Inf,26.5]	-0.6536149	-0.7280078	-0.5792220
phosphate	Indo-Pacific	(26.5,26.75]	-0.8818813	-0.8835443	-0.8802184
phosphate	Indo-Pacific	(26.75,27]	-0.8362153	-0.8422819	-0.8301488
phosphate	Indo-Pacific	(27,27.25]	-0.0973700	-0.1411023	-0.0536376
phosphate	Indo-Pacific	(27.25,27.5]	0.4931573	0.4862980	0.5000165
phosphate	Indo-Pacific	(27.5,27.75]	0.6269389	0.6145937	0.6392840
phosphate	Indo-Pacific	(27.75,27.95]	0.5940618	0.5829586	0.6051650
phosphate	Indo-Pacific	(27.95,28.05]	0.3175204	0.2911409	0.3439000
phosphate	Indo-Pacific	(28.05,28.1]	0.0882837	-0.0211628	0.1977302
phosphate	Indo-Pacific	(28.1,28.2]	0.0359858	-0.1010827	0.1730543
phosphate	Indo-Pacific	(28.2,28.3]	-0.6859789	-0.6953989	-0.6765590
phosphate	Indo-Pacific	(28.3,28.4]	-0.7195499	-0.7734667	-0.6656330
phosphate	Indo-Pacific	(28.4, Inf]	-0.8405603	-0.9293783	-0.7517424
phosphate_star	Atlantic	(-Inf,26.75]	-0.7905751	-0.8546849	-0.7264652
phosphate_star	Atlantic	(26.75,27.5]	-0.9130035	-0.9175250	-0.9084820
phosphate_star	Atlantic	(27.5,28.05]	-0.8407825	-0.8475863	-0.8339787
phosphate_star	Atlantic	(28.05,28.1]	-0.8339709	-0.8416720	-0.8262699
phosphate_star	Atlantic	(28.1,28.15]	-0.8105859	-0.8644648	-0.7567071
phosphate_star	Atlantic	(28.15,28.2]	-0.9035512	-0.9040797	-0.9030227
phosphate_star	Atlantic	(28.2, Inf]	-0.9722770	-0.9725694	-0.9719846
phosphate_star	Indo-Pacific	(-Inf,26.5]	-0.5030761	-0.5652131	-0.4409391
phosphate_star	Indo-Pacific	(26.5,26.75]	-0.8501828	-0.8898854	-0.8104801
phosphate_star	Indo-Pacific	(26.75,27]	-0.7508513	-0.8087714	-0.6929311
phosphate_star	Indo-Pacific	(27,27.25]	-0.3037347	-0.3909018	-0.2165676
phosphate_star	Indo-Pacific	(27.25,27.5]	-0.3194946	-0.3532451	-0.2857441
phosphate_star	Indo-Pacific	(27.5,27.75]	-0.4834360	-0.5297661	-0.4371059
phosphate_star	Indo-Pacific	(27.75,27.95]	-0.3874891	-0.3937448	-0.3812335
phosphate_star	Indo-Pacific	(27.95,28.05]	-0.2753115	-0.3483221	-0.2023009
phosphate_star	Indo-Pacific	(28.05,28.1]	-0.3058236	-0.4424352	-0.1692121
phosphate_star	Indo-Pacific	(28.1,28.2]	-0.5451970	-0.6309022	-0.4594918
phosphate_star	Indo-Pacific	(28.2,28.3]	-0.5932296	-0.6274752	-0.5589840
phosphate_star	Indo-Pacific	(28.3,28.4]	-0.5279900	-0.6389512	-0.4170289
phosphate_star	Indo-Pacific	(28.4, Inf]	-0.2359468	-0.9332833	0.4613896
sal	Atlantic	(-Inf,26.75]	0.7366852	0.6321953	0.8411751
sal	Atlantic	(26.75,27.5]	0.8390287	0.8249349	0.8531225
sal	Atlantic	(27.5,28.05]	0.7155815	0.6940492	0.7371139
sal	Atlantic	(28.05,28.1]	0.6724860	0.6495667	0.6954053
sal	Atlantic	(28.1,28.15]	0.6633816	0.5815303	0.7452328
sal	Atlantic	(28.15,28.2]	0.8172506	0.8098680	0.8246332
sal	Atlantic	(28.2, Inf]	0.9495792	0.9437375	0.9554209
sal	Indo-Pacific	(-Inf,26.5]	0.3123310	0.2781006	0.3465615
sal	Indo-Pacific	(26.5,26.75]	0.6092106	0.4892914	0.7291298
sal	Indo-Pacific	(26.75,27]	0.5266760	0.4102442	0.6431079
sal	Indo-Pacific	(27,27.25]	-0.1283071	-0.2036899	-0.0529244
sal	Indo-Pacific	(27.25,27.5]	-0.2630968	-0.2702639	-0.2559296
sal	Indo-Pacific	(27.5,27.75]	-0.2028498	-0.2072397	-0.1984600
sal	Indo-Pacific	(27.75,27.95]	-0.1722472	-0.1866217	-0.1578728
sal	Indo-Pacific	(27.95,28.05]	-0.0832458	-0.1677482	0.0012566
sal	Indo-Pacific	(28.05,28.1]	-0.0489168	-0.2290717	0.1312381
sal	Indo-Pacific	(28.1,28.2]	0.0294730	-0.1095339	0.1684799
sal	Indo-Pacific	(28.2,28.3]	0.2523925	0.1769082	0.3278768
sal	Indo-Pacific	(28.3,28.4]	0.2290023	0.0639759	0.3940288
sal	Indo-Pacific	(28.4, Inf]	0.3307396	-0.3349388	0.9964180
silicate	Atlantic	(-Inf,26.75]	-0.5707134	-0.6947504	-0.4466765
silicate	Atlantic	(26.75,27.5]	-0.8374638	-0.8406318	-0.8342958
silicate	Atlantic	(27.5,28.05]	-0.7530138	-0.7752443	-0.7307834
silicate	Atlantic	(28.05,28.1]	-0.8316915	-0.8399651	-0.8234179
silicate	Atlantic	(28.1,28.15]	-0.8137376	-0.8655566	-0.7619186
silicate	Atlantic	(28.15,28.2]	-0.9056235	-0.9139942	-0.8972528
silicate	Atlantic	(28.2, Inf]	-0.9570861	-0.9683469	-0.9458253
silicate	Indo-Pacific	(-Inf,26.5]	-0.5968988	-0.6615402	-0.5322573
silicate	Indo-Pacific	(26.5,26.75]	-0.7355023	-0.7727266	-0.6982780
silicate	Indo-Pacific	(26.75,27]	-0.6348876	-0.6577430	-0.6120321
silicate	Indo-Pacific	(27,27.25]	0.2023191	0.1830199	0.2216183
silicate	Indo-Pacific	(27.25,27.5]	0.7608084	0.7595535	0.7620633
silicate	Indo-Pacific	(27.5,27.75]	0.8473033	0.8437031	0.8509035
silicate	Indo-Pacific	(27.75,27.95]	0.7517271	0.7442006	0.7592536
silicate	Indo-Pacific	(27.95,28.05]	0.4108072	0.4052018	0.4164126
silicate	Indo-Pacific	(28.05,28.1]	0.1929359	0.1146182	0.2712536
silicate	Indo-Pacific	(28.1,28.2]	0.1386364	0.0391625	0.2381102
silicate	Indo-Pacific	(28.2,28.3]	-0.1210065	-0.1522509	-0.0897621
silicate	Indo-Pacific	(28.3,28.4]	-0.4444167	-0.5153337	-0.3734997
silicate	Indo-Pacific	(28.4, Inf]	-0.5904729	-0.7255380	-0.4554078
temp	Atlantic	(-Inf,26.75]	0.6747049	0.5914441	0.7579657
temp	Atlantic	(26.75,27.5]	0.7798434	0.7774712	0.7822156
temp	Atlantic	(27.5,28.05]	0.4791804	0.4532663	0.5050945
temp	Atlantic	(28.05,28.1]	0.5894204	0.5518753	0.6269656
temp	Atlantic	(28.1,28.15]	0.5138596	0.3792078	0.6485114
temp	Atlantic	(28.15,28.2]	0.3539378	0.1147998	0.5930759
temp	Atlantic	(28.2, Inf]	0.2426144	0.2062239	0.2790049
temp	Indo-Pacific	(-Inf,26.5]	0.1119750	0.0892847	0.1346653
temp	Indo-Pacific	(26.5,26.75]	0.6018731	0.4908723	0.7128739
temp	Indo-Pacific	(26.75,27]	0.5547067	0.4513154	0.6580980
temp	Indo-Pacific	(27,27.25]	-0.0136616	-0.1034698	0.0761465
temp	Indo-Pacific	(27.25,27.5]	-0.2471310	-0.2485436	-0.2457185
temp	Indo-Pacific	(27.5,27.75]	-0.2689172	-0.3056415	-0.2321929
temp	Indo-Pacific	(27.75,27.95]	-0.2569203	-0.3000937	-0.2137468
temp	Indo-Pacific	(27.95,28.05]	0.0237982	-0.0340707	0.0816671
temp	Indo-Pacific	(28.05,28.1]	0.0719295	-0.0401400	0.1839990
temp	Indo-Pacific	(28.1,28.2]	0.2613229	0.2161450	0.3065007
temp	Indo-Pacific	(28.2,28.3]	0.2362860	0.2039208	0.2686512
temp	Indo-Pacific	(28.3,28.4]	0.0887588	-0.0428872	0.2204047
temp	Indo-Pacific	(28.4, Inf]	-0.3808785	-0.7142736	-0.0474835

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  metR_0.9.0      
 [9] scico_1.2.0      patchwork_1.1.1  collapse_1.5.0   forcats_0.5.0   
[13] stringr_1.4.0    dplyr_1.0.5      purrr_0.3.4      readr_1.4.0     
[17] tidyr_1.1.2      tibble_3.0.4     ggplot2_3.3.3    tidyverse_1.3.0 
[21] 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] plyr_1.8.6               grid_4.0.3               blob_1.2.1              
[55] parallel_4.0.3           promises_1.1.1           crayon_1.3.4            
[58] lattice_0.20-41          haven_2.3.1              hms_0.5.3               
[61] pillar_1.4.7             reprex_0.3.0             glue_1.4.2              
[64] evaluate_0.14            RcppArmadillo_0.10.1.2.0 data.table_1.13.2       
[67] modelr_0.1.8             vctrs_0.3.5              httpuv_1.5.4            
[70] cellranger_1.1.0         gtable_0.3.0             reshape_0.8.8           
[73] assertthat_0.2.1         xfun_0.18                openxlsx_4.2.3          
[76] RcppEigen_0.3.3.7.0      later_1.1.0.1            viridisLite_0.3.0       
[79] ellipsis_0.3.1           here_0.1