eMLR - assumption testing

workflowr

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Last updated: 2021-08-06

Checks: 7 0

Knit directory: emlr_obs_v_XXX/

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File	Version	Author	Date	Message
html	15773a0	jens-daniel-mueller	2021-08-06	included calculation of revelle factor
html	da61d1a	jens-daniel-mueller	2021-08-06	Build site.
html	340d731	jens-daniel-mueller	2021-08-06	Build site.
html	71546e4	jens-daniel-mueller	2021-08-06	test with stricter CANYON-B filtering
html	29444a1	jens-daniel-mueller	2021-08-05	Build site.
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html	d054c39	jens-daniel-mueller	2021-06-24	Build site.
html	4fcd066	jens-daniel-mueller	2021-06-24	Build site.
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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.
html	db7df0e	jens-daniel-mueller	2021-06-04	rebuild without overlapping eras
html	2edc791	jens-daniel-mueller	2021-06-04	Build site.
html	207339d	jens-daniel-mueller	2021-06-03	Build site.
html	315710b	jens-daniel-mueller	2021-06-03	include anomalous changes
html	be90356	jens-daniel-mueller	2021-06-02	Build site.
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Rmd	ee13efb	jens-daniel-mueller	2021-05-27	optional source of local params fully implemented
html	8c736a6	jens-daniel-mueller	2021-05-27	Build site.
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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	b6fe355	jens-daniel-mueller	2021-04-16	Build site.
html	81b7c6d	jens-daniel-mueller	2021-04-16	Build site.
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html	9f31fe3	jens-daniel-mueller	2021-04-13	Build site.
Rmd	80e1ee3	jens-daniel-mueller	2021-04-13	rerun post-2000 with model data
html	c98be84	jens-daniel-mueller	2021-04-13	Build site.
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html	338dd3c	jens-daniel-mueller	2021-04-09	Build site.
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html	eb827c9	jens-daniel-mueller	2021-04-07	Build site.
Rmd	49be8ed	jens-daniel-mueller	2021-03-26	included model data
html	ab5c8cf	jens-daniel-mueller	2021-03-24	Build site.
Rmd	da3c481	jens-daniel-mueller	2021-03-24	included model data
html	19faa17	jens-daniel-mueller	2021-03-24	Build site.
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html	0bade3b	jens-daniel-mueller	2021-03-15	Build site.
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html	85a5ed2	jens-daniel-mueller	2021-03-10	Build site.
html	00688a1	jens-daniel-mueller	2021-03-05	Build site.
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.
html	3d3b4cc	jens-daniel-mueller	2021-02-23	Build site.
html	7b672f7	jens-daniel-mueller	2021-01-11	Build site.
html	33ba23c	jens-daniel-mueller	2021-01-07	Build site.
html	318609d	jens-daniel-mueller	2020-12-23	adapted more variable predictor selection
html	9d0b2d0	jens-daniel-mueller	2020-12-23	Build site.
html	0aa2b50	jens-daniel-mueller	2020-12-23	remove html before duplication
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Rmd	ca65bf5	jens-daniel-mueller	2020-12-18	rebuild after final cleaning
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html	4d612dd	jens-daniel-mueller	2020-12-15	Build site.
Rmd	e7e5ff1	jens-daniel-mueller	2020-12-15	rebuild with eMLR target variable selection
html	953caf3	jens-daniel-mueller	2020-12-15	Build site.
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Rmd	923aa7f	jens-daniel-mueller	2020-12-14	rebuild with new path and auto folder creation
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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.
html	24a632f	jens-daniel-mueller	2020-12-07	Build site.
html	92dca91	jens-daniel-mueller	2020-12-07	Build site.
html	6a8004b	jens-daniel-mueller	2020-12-07	Build site.
html	70bf1a5	jens-daniel-mueller	2020-12-07	Build site.
html	7555355	jens-daniel-mueller	2020-12-07	Build site.
html	143d6fa	jens-daniel-mueller	2020-12-07	Build site.
Rmd	33b1973	jens-daniel-mueller	2020-12-07	run with WOCE flag 2 only
html	abc6818	jens-daniel-mueller	2020-12-03	Build site.
Rmd	992ba15	jens-daniel-mueller	2020-12-03	rebuild with variable inventory depth
html	c8c2e7b	jens-daniel-mueller	2020-12-03	Build site.
Rmd	83203db	jens-daniel-mueller	2020-12-03	calculate cant with variable inventory depth
html	090e4d5	jens-daniel-mueller	2020-12-02	Build site.
html	7c25f7a	jens-daniel-mueller	2020-12-02	Build site.
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html	c987de1	jens-daniel-mueller	2020-12-02	Build site.
html	f8358f8	jens-daniel-mueller	2020-12-02	Build site.
html	b03ddb8	jens-daniel-mueller	2020-12-02	Build site.
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html	0ff728b	jens-daniel-mueller	2020-12-01	Build site.
html	91435ae	jens-daniel-mueller	2020-12-01	Build site.
Rmd	17d09be	jens-daniel-mueller	2020-12-01	auto eras naming
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Rmd	2842970	jens-daniel-mueller	2020-11-30	cleaned for eMLR part only
html	196be51	jens-daniel-mueller	2020-11-30	Build site.
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

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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
15773a0	jens-daniel-mueller	2021-08-06
da61d1a	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
29444a1	jens-daniel-mueller	2021-08-05
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
81a46a4	jens-daniel-mueller	2021-08-03
b88c61b	jens-daniel-mueller	2021-08-03
a53656d	jens-daniel-mueller	2021-08-03
88f7356	jens-daniel-mueller	2021-08-02
d759279	jens-daniel-mueller	2021-08-02
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
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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
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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
15773a0	jens-daniel-mueller	2021-08-06
da61d1a	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
29444a1	jens-daniel-mueller	2021-08-05
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
81a46a4	jens-daniel-mueller	2021-08-03
b88c61b	jens-daniel-mueller	2021-08-03
a53656d	jens-daniel-mueller	2021-08-03
88f7356	jens-daniel-mueller	2021-08-02
d759279	jens-daniel-mueller	2021-08-02
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

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
15773a0	jens-daniel-mueller	2021-08-06
da61d1a	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
29444a1	jens-daniel-mueller	2021-08-05
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
81a46a4	jens-daniel-mueller	2021-08-03
b88c61b	jens-daniel-mueller	2021-08-03
a53656d	jens-daniel-mueller	2021-08-03
88f7356	jens-daniel-mueller	2021-08-02
d759279	jens-daniel-mueller	2021-08-02
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	global	(-Inf,26]	0.9220466	0.9085608	0.9355323
aou + nitrate	global	(26,26.5]	0.9139415	0.9082261	0.9196569
aou + nitrate	global	(26.5,26.75]	0.9101564	0.9001086	0.9202042
aou + nitrate	global	(26.75,27]	0.9203386	0.9180386	0.9226386
aou + nitrate	global	(27,27.25]	0.9011537	0.8970241	0.9052834
aou + nitrate	global	(27.25,27.5]	0.8823885	0.8784781	0.8862990
aou + nitrate	global	(27.5,27.75]	0.8965597	0.8909741	0.9021454
aou + nitrate	global	(27.75,27.85]	0.9449673	0.9417715	0.9481631
aou + nitrate	global	(27.85,27.95]	0.9620540	0.9612114	0.9628966
aou + nitrate	global	(27.95,28.05]	0.9660770	0.9649856	0.9671685
aou + nitrate	global	(28.05,28.1]	0.9787910	0.9783030	0.9792790
aou + nitrate	global	(28.1,28.2]	0.9693793	0.9691258	0.9696328
aou + nitrate	global	(28.2,28.3]	0.9618094	0.9584886	0.9651303
aou + nitrate	global	(28.3,28.4]	0.4864198	0.3917841	0.5810554
aou + nitrate	global	(28.4, Inf]	0.8094320	0.7227712	0.8960928
aou + oxygen	global	(-Inf,26]	-0.9227941	-0.9330392	-0.9125489
aou + oxygen	global	(26,26.5]	-0.9651608	-0.9673756	-0.9629459
aou + oxygen	global	(26.5,26.75]	-0.9678000	-0.9699464	-0.9656536
aou + oxygen	global	(26.75,27]	-0.9729525	-0.9744577	-0.9714474
aou + oxygen	global	(27,27.25]	-0.9820243	-0.9824928	-0.9815557
aou + oxygen	global	(27.25,27.5]	-0.9859864	-0.9861846	-0.9857882
aou + oxygen	global	(27.5,27.75]	-0.9866297	-0.9869743	-0.9862852
aou + oxygen	global	(27.75,27.85]	-0.9919277	-0.9920225	-0.9918328
aou + oxygen	global	(27.85,27.95]	-0.9938184	-0.9938352	-0.9938015
aou + oxygen	global	(27.95,28.05]	-0.9942821	-0.9943513	-0.9942128
aou + oxygen	global	(28.05,28.1]	-0.9972281	-0.9974134	-0.9970428
aou + oxygen	global	(28.1,28.2]	-0.9947832	-0.9948787	-0.9946877
aou + oxygen	global	(28.2,28.3]	-0.9906608	-0.9911493	-0.9901722
aou + oxygen	global	(28.3,28.4]	-0.9974399	-0.9980293	-0.9968505
aou + oxygen	global	(28.4, Inf]	-0.9984047	-0.9986073	-0.9982020
aou + phosphate	global	(-Inf,26]	0.9272918	0.9177189	0.9368647
aou + phosphate	global	(26,26.5]	0.9372266	0.9350630	0.9393903
aou + phosphate	global	(26.5,26.75]	0.9201146	0.9094887	0.9307404
aou + phosphate	global	(26.75,27]	0.9064478	0.9052037	0.9076919
aou + phosphate	global	(27,27.25]	0.8899666	0.8872584	0.8926747
aou + phosphate	global	(27.25,27.5]	0.8883614	0.8835787	0.8931441
aou + phosphate	global	(27.5,27.75]	0.9089401	0.9036916	0.9141887
aou + phosphate	global	(27.75,27.85]	0.9505310	0.9485874	0.9524746
aou + phosphate	global	(27.85,27.95]	0.9653820	0.9647808	0.9659832
aou + phosphate	global	(27.95,28.05]	0.9692502	0.9688489	0.9696514
aou + phosphate	global	(28.05,28.1]	0.9806034	0.9802542	0.9809525
aou + phosphate	global	(28.1,28.2]	0.9714031	0.9704236	0.9723826
aou + phosphate	global	(28.2,28.3]	0.9578089	0.9573957	0.9582221
aou + phosphate	global	(28.3,28.4]	0.3853228	0.1712269	0.5994188
aou + phosphate	global	(28.4, Inf]	0.7455451	0.6245717	0.8665185
aou + silicate	global	(-Inf,26]	0.7321709	0.6983595	0.7659823
aou + silicate	global	(26,26.5]	0.7356416	0.7323286	0.7389546
aou + silicate	global	(26.5,26.75]	0.6794396	0.6631924	0.6956868
aou + silicate	global	(26.75,27]	0.7485877	0.7358611	0.7613143
aou + silicate	global	(27,27.25]	0.8469165	0.8292305	0.8646026
aou + silicate	global	(27.25,27.5]	0.8952827	0.8829708	0.9075947
aou + silicate	global	(27.5,27.75]	0.9313413	0.9227177	0.9399649
aou + silicate	global	(27.75,27.85]	0.9734806	0.9706523	0.9763089
aou + silicate	global	(27.85,27.95]	0.9773683	0.9765009	0.9782356
aou + silicate	global	(27.95,28.05]	0.9821444	0.9821322	0.9821566
aou + silicate	global	(28.05,28.1]	0.9918336	0.9913642	0.9923030
aou + silicate	global	(28.1,28.2]	0.9798591	0.9784436	0.9812745
aou + silicate	global	(28.2,28.3]	0.9578406	0.9540184	0.9616628
aou + silicate	global	(28.3,28.4]	0.6324632	0.4778416	0.7870848
aou + silicate	global	(28.4, Inf]	0.9074995	0.8645779	0.9504211
nitrate + phosphate	global	(-Inf,26]	0.9688943	0.9678470	0.9699417
nitrate + phosphate	global	(26,26.5]	0.9706906	0.9665066	0.9748745
nitrate + phosphate	global	(26.5,26.75]	0.9724622	0.9710346	0.9738898
nitrate + phosphate	global	(26.75,27]	0.9833850	0.9811034	0.9856666
nitrate + phosphate	global	(27,27.25]	0.9860608	0.9834332	0.9886884
nitrate + phosphate	global	(27.25,27.5]	0.9909555	0.9895839	0.9923271
nitrate + phosphate	global	(27.5,27.75]	0.9952004	0.9951810	0.9952199
nitrate + phosphate	global	(27.75,27.85]	0.9977933	0.9976994	0.9978872
nitrate + phosphate	global	(27.85,27.95]	0.9985195	0.9984737	0.9985652
nitrate + phosphate	global	(27.95,28.05]	0.9985644	0.9983649	0.9987639
nitrate + phosphate	global	(28.05,28.1]	0.9986909	0.9986173	0.9987644
nitrate + phosphate	global	(28.1,28.2]	0.9980933	0.9979142	0.9982724
nitrate + phosphate	global	(28.2,28.3]	0.9970236	0.9970214	0.9970257
nitrate + phosphate	global	(28.3,28.4]	0.8673689	0.7622475	0.9724902
nitrate + phosphate	global	(28.4, Inf]	0.8675595	0.8201802	0.9149388
nitrate + silicate	global	(-Inf,26]	0.8574278	0.8551670	0.8596886
nitrate + silicate	global	(26,26.5]	0.8604166	0.8505317	0.8703014
nitrate + silicate	global	(26.5,26.75]	0.8295934	0.8234527	0.8357341
nitrate + silicate	global	(26.75,27]	0.8294068	0.8135231	0.8452904
nitrate + silicate	global	(27,27.25]	0.8318396	0.8180107	0.8456686
nitrate + silicate	global	(27.25,27.5]	0.8419787	0.8342117	0.8497458
nitrate + silicate	global	(27.5,27.75]	0.8852163	0.8817998	0.8886328
nitrate + silicate	global	(27.75,27.85]	0.9478667	0.9437893	0.9519441
nitrate + silicate	global	(27.85,27.95]	0.9678988	0.9640126	0.9717849
nitrate + silicate	global	(27.95,28.05]	0.9748331	0.9727922	0.9768740
nitrate + silicate	global	(28.05,28.1]	0.9781835	0.9767466	0.9796203
nitrate + silicate	global	(28.1,28.2]	0.9806868	0.9802885	0.9810851
nitrate + silicate	global	(28.2,28.3]	0.9764195	0.9763928	0.9764463
nitrate + silicate	global	(28.3,28.4]	0.6787596	0.6178332	0.7396859
nitrate + silicate	global	(28.4, Inf]	0.8980994	0.8950268	0.9011719
oxygen + nitrate	global	(-Inf,26]	-0.7348375	-0.7773189	-0.6923562
oxygen + nitrate	global	(26,26.5]	-0.7900841	-0.8030578	-0.7771105
oxygen + nitrate	global	(26.5,26.75]	-0.7893310	-0.8093306	-0.7693314
oxygen + nitrate	global	(26.75,27]	-0.8150160	-0.8230354	-0.8069966
oxygen + nitrate	global	(27,27.25]	-0.8162776	-0.8244454	-0.8081098
oxygen + nitrate	global	(27.25,27.5]	-0.8064373	-0.8115233	-0.8013512
oxygen + nitrate	global	(27.5,27.75]	-0.8252397	-0.8338004	-0.8166791
oxygen + nitrate	global	(27.75,27.85]	-0.9029189	-0.9076514	-0.8981864
oxygen + nitrate	global	(27.85,27.95]	-0.9304271	-0.9317830	-0.9290712
oxygen + nitrate	global	(27.95,28.05]	-0.9365064	-0.9382569	-0.9347558
oxygen + nitrate	global	(28.05,28.1]	-0.9632862	-0.9645046	-0.9620678
oxygen + nitrate	global	(28.1,28.2]	-0.9452822	-0.9481955	-0.9423690
oxygen + nitrate	global	(28.2,28.3]	-0.9335945	-0.9351325	-0.9320566
oxygen + nitrate	global	(28.3,28.4]	-0.4491551	-0.5323595	-0.3659508
oxygen + nitrate	global	(28.4, Inf]	-0.7988225	-0.8983219	-0.6993230
oxygen + phosphate	global	(-Inf,26]	-0.7641617	-0.7968360	-0.7314874
oxygen + phosphate	global	(26,26.5]	-0.8194769	-0.8281197	-0.8108342
oxygen + phosphate	global	(26.5,26.75]	-0.7967424	-0.8180912	-0.7753935
oxygen + phosphate	global	(26.75,27]	-0.7900065	-0.7959542	-0.7840588
oxygen + phosphate	global	(27,27.25]	-0.7964148	-0.8019372	-0.7908924
oxygen + phosphate	global	(27.25,27.5]	-0.8099720	-0.8160996	-0.8038443
oxygen + phosphate	global	(27.5,27.75]	-0.8395314	-0.8470282	-0.8320346
oxygen + phosphate	global	(27.75,27.85]	-0.9094883	-0.9123451	-0.9066314
oxygen + phosphate	global	(27.85,27.95]	-0.9344184	-0.9353905	-0.9334463
oxygen + phosphate	global	(27.95,28.05]	-0.9404333	-0.9413627	-0.9395040
oxygen + phosphate	global	(28.05,28.1]	-0.9653937	-0.9664177	-0.9643696
oxygen + phosphate	global	(28.1,28.2]	-0.9473015	-0.9508872	-0.9437159
oxygen + phosphate	global	(28.2,28.3]	-0.9289643	-0.9305661	-0.9273625
oxygen + phosphate	global	(28.3,28.4]	-0.3507777	-0.5513091	-0.1502463
oxygen + phosphate	global	(28.4, Inf]	-0.7332936	-0.8616735	-0.6049136
oxygen + silicate	global	(-Inf,26]	-0.5144426	-0.5896852	-0.4392000
oxygen + silicate	global	(26,26.5]	-0.5827810	-0.5860544	-0.5795076
oxygen + silicate	global	(26.5,26.75]	-0.5104496	-0.5405844	-0.4803149
oxygen + silicate	global	(26.75,27]	-0.6089399	-0.6188505	-0.5990293
oxygen + silicate	global	(27,27.25]	-0.7645030	-0.7856103	-0.7433957
oxygen + silicate	global	(27.25,27.5]	-0.8353462	-0.8505879	-0.8201046
oxygen + silicate	global	(27.5,27.75]	-0.8811414	-0.8938471	-0.8684357
oxygen + silicate	global	(27.75,27.85]	-0.9475848	-0.9516162	-0.9435533
oxygen + silicate	global	(27.85,27.95]	-0.9547388	-0.9550539	-0.9544238
oxygen + silicate	global	(27.95,28.05]	-0.9616130	-0.9625409	-0.9606852
oxygen + silicate	global	(28.05,28.1]	-0.9837081	-0.9837717	-0.9836445
oxygen + silicate	global	(28.1,28.2]	-0.9610551	-0.9641041	-0.9580061
oxygen + silicate	global	(28.2,28.3]	-0.9340207	-0.9416053	-0.9264362
oxygen + silicate	global	(28.3,28.4]	-0.5984036	-0.7523479	-0.4444594
oxygen + silicate	global	(28.4, Inf]	-0.8938245	-0.9428211	-0.8448278
sal + aou	global	(-Inf,26]	-0.1349634	-0.1515578	-0.1183689
sal + aou	global	(26,26.5]	-0.3878855	-0.4025002	-0.3732708
sal + aou	global	(26.5,26.75]	-0.4009047	-0.4092272	-0.3925822
sal + aou	global	(26.75,27]	-0.3397889	-0.3844071	-0.2951707
sal + aou	global	(27,27.25]	-0.2402630	-0.2585220	-0.2220039
sal + aou	global	(27.25,27.5]	-0.1723578	-0.2324152	-0.1123003
sal + aou	global	(27.5,27.75]	-0.3899071	-0.4529376	-0.3268766
sal + aou	global	(27.75,27.85]	-0.5909720	-0.6067970	-0.5751470
sal + aou	global	(27.85,27.95]	-0.6949301	-0.6976062	-0.6922541
sal + aou	global	(27.95,28.05]	-0.7640205	-0.7790820	-0.7489591
sal + aou	global	(28.05,28.1]	-0.8801269	-0.8891635	-0.8710903
sal + aou	global	(28.1,28.2]	-0.8717650	-0.8721100	-0.8714201
sal + aou	global	(28.2,28.3]	-0.8136160	-0.8383484	-0.7888837
sal + aou	global	(28.3,28.4]	0.6203743	0.3561533	0.8845953
sal + aou	global	(28.4, Inf]	0.7542379	0.7375052	0.7709707
sal + nitrate	global	(-Inf,26]	-0.3808994	-0.4081483	-0.3536504
sal + nitrate	global	(26,26.5]	-0.6581277	-0.6766940	-0.6395615
sal + nitrate	global	(26.5,26.75]	-0.6835195	-0.6899242	-0.6771148
sal + nitrate	global	(26.75,27]	-0.6333467	-0.6763802	-0.5903132
sal + nitrate	global	(27,27.25]	-0.5779074	-0.6058088	-0.5500060
sal + nitrate	global	(27.25,27.5]	-0.5420792	-0.5836130	-0.5005455
sal + nitrate	global	(27.5,27.75]	-0.6995497	-0.7323627	-0.6667366
sal + nitrate	global	(27.75,27.85]	-0.7749957	-0.7764030	-0.7735885
sal + nitrate	global	(27.85,27.95]	-0.8359297	-0.8429312	-0.8289281
sal + nitrate	global	(27.95,28.05]	-0.8882931	-0.8988504	-0.8777359
sal + nitrate	global	(28.05,28.1]	-0.9472671	-0.9534940	-0.9410402
sal + nitrate	global	(28.1,28.2]	-0.9466981	-0.9500460	-0.9433503
sal + nitrate	global	(28.2,28.3]	-0.9314283	-0.9412941	-0.9215626
sal + nitrate	global	(28.3,28.4]	-0.1289074	-0.4715009	0.2136860
sal + nitrate	global	(28.4, Inf]	0.4987248	0.2124097	0.7850399
sal + oxygen	global	(-Inf,26]	-0.1742767	-0.2217102	-0.1268432
sal + oxygen	global	(26,26.5]	0.1439900	0.1366475	0.1513325
sal + oxygen	global	(26.5,26.75]	0.1635002	0.1463495	0.1806510
sal + oxygen	global	(26.75,27]	0.1209707	0.0798945	0.1620470
sal + oxygen	global	(27,27.25]	0.0590754	0.0430011	0.0751498
sal + oxygen	global	(27.25,27.5]	0.0139427	-0.0455839	0.0734692
sal + oxygen	global	(27.5,27.75]	0.2466572	0.1793376	0.3139768
sal + oxygen	global	(27.75,27.85]	0.4885086	0.4712990	0.5057183
sal + oxygen	global	(27.85,27.95]	0.6162483	0.6135048	0.6189917
sal + oxygen	global	(27.95,28.05]	0.6951635	0.6778187	0.7125083
sal + oxygen	global	(28.05,28.1]	0.8441700	0.8325697	0.8557704
sal + oxygen	global	(28.1,28.2]	0.8226078	0.8210727	0.8241430
sal + oxygen	global	(28.2,28.3]	0.7623532	0.7400097	0.7846966
sal + oxygen	global	(28.3,28.4]	-0.6495104	-0.8896587	-0.4093620
sal + oxygen	global	(28.4, Inf]	-0.7697162	-0.7770865	-0.7623459
sal + phosphate	global	(-Inf,26]	-0.3071106	-0.3247181	-0.2895031
sal + phosphate	global	(26,26.5]	-0.6551383	-0.6734172	-0.6368594
sal + phosphate	global	(26.5,26.75]	-0.7056268	-0.7151805	-0.6960731
sal + phosphate	global	(26.75,27]	-0.6848289	-0.7210496	-0.6486082
sal + phosphate	global	(27,27.25]	-0.6252641	-0.6461250	-0.6044032
sal + phosphate	global	(27.25,27.5]	-0.5551374	-0.5955651	-0.5147097
sal + phosphate	global	(27.5,27.75]	-0.6919242	-0.7300715	-0.6537769
sal + phosphate	global	(27.75,27.85]	-0.7731329	-0.7788296	-0.7674362
sal + phosphate	global	(27.85,27.95]	-0.8337667	-0.8390579	-0.8284756
sal + phosphate	global	(27.95,28.05]	-0.8853402	-0.8958787	-0.8748017
sal + phosphate	global	(28.05,28.1]	-0.9471104	-0.9531636	-0.9410571
sal + phosphate	global	(28.1,28.2]	-0.9487749	-0.9520087	-0.9455412
sal + phosphate	global	(28.2,28.3]	-0.9363260	-0.9498890	-0.9227630
sal + phosphate	global	(28.3,28.4]	-0.2469612	-0.4678802	-0.0260423
sal + phosphate	global	(28.4, Inf]	0.3878875	0.1537135	0.6220616
sal + silicate	global	(-Inf,26]	-0.4994966	-0.5489854	-0.4500079
sal + silicate	global	(26,26.5]	-0.6920586	-0.7070363	-0.6770809
sal + silicate	global	(26.5,26.75]	-0.7553207	-0.7740764	-0.7365650
sal + silicate	global	(26.75,27]	-0.6900306	-0.7086100	-0.6714512
sal + silicate	global	(27,27.25]	-0.5114702	-0.5180484	-0.5048920
sal + silicate	global	(27.25,27.5]	-0.3925865	-0.4252928	-0.3598801
sal + silicate	global	(27.5,27.75]	-0.5132484	-0.5584780	-0.4680189
sal + silicate	global	(27.75,27.85]	-0.6700403	-0.6818026	-0.6582780
sal + silicate	global	(27.85,27.95]	-0.7687641	-0.7712779	-0.7662503
sal + silicate	global	(27.95,28.05]	-0.8233775	-0.8290932	-0.8176619
sal + silicate	global	(28.05,28.1]	-0.8988246	-0.9043167	-0.8933325
sal + silicate	global	(28.1,28.2]	-0.9139693	-0.9164137	-0.9115248
sal + silicate	global	(28.2,28.3]	-0.8795925	-0.8945283	-0.8646568
sal + silicate	global	(28.3,28.4]	0.1998574	0.0420557	0.3576591
sal + silicate	global	(28.4, Inf]	0.5887401	0.3769862	0.8004941
sal + temp	global	(-Inf,26]	0.7449976	0.7153116	0.7746836
sal + temp	global	(26,26.5]	0.9675245	0.9662380	0.9688110
sal + temp	global	(26.5,26.75]	0.9871981	0.9871699	0.9872264
sal + temp	global	(26.75,27]	0.9808843	0.9805477	0.9812209
sal + temp	global	(27,27.25]	0.9742474	0.9725608	0.9759340
sal + temp	global	(27.25,27.5]	0.9568675	0.9546076	0.9591274
sal + temp	global	(27.5,27.75]	0.9369030	0.9289719	0.9448341
sal + temp	global	(27.75,27.85]	0.9756687	0.9706108	0.9807266
sal + temp	global	(27.85,27.95]	0.9507489	0.9502237	0.9512740
sal + temp	global	(27.95,28.05]	0.9246863	0.9218636	0.9275091
sal + temp	global	(28.05,28.1]	0.9343889	0.9340298	0.9347481
sal + temp	global	(28.1,28.2]	0.7559003	0.6882763	0.8235242
sal + temp	global	(28.2,28.3]	0.2227830	0.1844772	0.2610889
sal + temp	global	(28.3,28.4]	0.7349479	0.5923786	0.8775173
sal + temp	global	(28.4, Inf]	0.7367782	0.6885464	0.7850101
silicate + phosphate	global	(-Inf,26]	0.7774388	0.7764418	0.7784359
silicate + phosphate	global	(26,26.5]	0.8319267	0.8247690	0.8390844
silicate + phosphate	global	(26.5,26.75]	0.8215300	0.8131132	0.8299468
silicate + phosphate	global	(26.75,27]	0.8500009	0.8396377	0.8603642
silicate + phosphate	global	(27,27.25]	0.8611813	0.8560462	0.8663164
silicate + phosphate	global	(27.25,27.5]	0.8729047	0.8693902	0.8764192
silicate + phosphate	global	(27.5,27.75]	0.9044274	0.8995910	0.9092638
silicate + phosphate	global	(27.75,27.85]	0.9566408	0.9532883	0.9599934
silicate + phosphate	global	(27.85,27.95]	0.9732725	0.9700707	0.9764742
silicate + phosphate	global	(27.95,28.05]	0.9785711	0.9763490	0.9807931
silicate + phosphate	global	(28.05,28.1]	0.9807471	0.9797589	0.9817352
silicate + phosphate	global	(28.1,28.2]	0.9829227	0.9823465	0.9834990
silicate + phosphate	global	(28.2,28.3]	0.9755910	0.9718262	0.9793557
silicate + phosphate	global	(28.3,28.4]	0.6122785	0.4832366	0.7413205
silicate + phosphate	global	(28.4, Inf]	0.8005559	0.7942533	0.8068585
temp + aou	global	(-Inf,26]	-0.1475200	-0.1577927	-0.1372472
temp + aou	global	(26,26.5]	-0.4139909	-0.4274547	-0.4005271
temp + aou	global	(26.5,26.75]	-0.3826625	-0.3937198	-0.3716053
temp + aou	global	(26.75,27]	-0.3395203	-0.3889831	-0.2900574
temp + aou	global	(27,27.25]	-0.2347398	-0.2470717	-0.2224078
temp + aou	global	(27.25,27.5]	-0.1454810	-0.2082503	-0.0827117
temp + aou	global	(27.5,27.75]	-0.3245315	-0.4042423	-0.2448207
temp + aou	global	(27.75,27.85]	-0.5443577	-0.5759034	-0.5128121
temp + aou	global	(27.85,27.95]	-0.5549689	-0.5601526	-0.5497851
temp + aou	global	(27.95,28.05]	-0.5372822	-0.5629671	-0.5115972
temp + aou	global	(28.05,28.1]	-0.6835166	-0.6998768	-0.6671565
temp + aou	global	(28.1,28.2]	-0.4141840	-0.4910935	-0.3372745
temp + aou	global	(28.2,28.3]	0.0775737	0.0237485	0.1313989
temp + aou	global	(28.3,28.4]	0.9154469	0.9124798	0.9184140
temp + aou	global	(28.4, Inf]	0.9689693	0.9682206	0.9697180
temp + nitrate	global	(-Inf,26]	-0.4209988	-0.4417025	-0.4002952
temp + nitrate	global	(26,26.5]	-0.6962594	-0.7128816	-0.6796371
temp + nitrate	global	(26.5,26.75]	-0.6820258	-0.6881765	-0.6758750
temp + nitrate	global	(26.75,27]	-0.6427988	-0.6895179	-0.5960796
temp + nitrate	global	(27,27.25]	-0.5723563	-0.5956186	-0.5490939
temp + nitrate	global	(27.25,27.5]	-0.5107270	-0.5518784	-0.4695756
temp + nitrate	global	(27.5,27.75]	-0.6349576	-0.6854197	-0.5844954
temp + nitrate	global	(27.75,27.85]	-0.7396077	-0.7558556	-0.7233599
temp + nitrate	global	(27.85,27.95]	-0.7270201	-0.7350990	-0.7189413
temp + nitrate	global	(27.95,28.05]	-0.7111131	-0.7302437	-0.6919824
temp + nitrate	global	(28.05,28.1]	-0.7995149	-0.8131437	-0.7858861
temp + nitrate	global	(28.1,28.2]	-0.5734958	-0.6662386	-0.4807530
temp + nitrate	global	(28.2,28.3]	-0.0419467	-0.0940973	0.0102040
temp + nitrate	global	(28.3,28.4]	0.2750851	0.2296353	0.3205348
temp + nitrate	global	(28.4, Inf]	0.8311520	0.7655780	0.8967260
temp + oxygen	global	(-Inf,26]	-0.2417340	-0.2772755	-0.2061925
temp + oxygen	global	(26,26.5]	0.1621155	0.1558583	0.1683728
temp + oxygen	global	(26.5,26.75]	0.1386557	0.1184009	0.1589104
temp + oxygen	global	(26.75,27]	0.1141753	0.0683451	0.1600055
temp + oxygen	global	(27,27.25]	0.0473756	0.0371771	0.0575740
temp + oxygen	global	(27.25,27.5]	-0.0210886	-0.0833405	0.0411633
temp + oxygen	global	(27.5,27.75]	0.1669034	0.0817485	0.2520583
temp + oxygen	global	(27.75,27.85]	0.4339143	0.3993553	0.4684732
temp + oxygen	global	(27.85,27.95]	0.4593836	0.4539786	0.4647886
temp + oxygen	global	(27.95,28.05]	0.4445435	0.4165988	0.4724883
temp + oxygen	global	(28.05,28.1]	0.6285188	0.6088639	0.6481736
temp + oxygen	global	(28.1,28.2]	0.3233529	0.2420131	0.4046928
temp + oxygen	global	(28.2,28.3]	-0.2057141	-0.2560246	-0.1554036
temp + oxygen	global	(28.3,28.4]	-0.9290025	-0.9315861	-0.9264189
temp + oxygen	global	(28.4, Inf]	-0.9732672	-0.9782553	-0.9682790
temp + phosphate	global	(-Inf,26]	-0.3569872	-0.3643280	-0.3496463
temp + phosphate	global	(26,26.5]	-0.6845089	-0.7008251	-0.6681928
temp + phosphate	global	(26.5,26.75]	-0.6967641	-0.7057214	-0.6878067
temp + phosphate	global	(26.75,27]	-0.6861402	-0.7263367	-0.6459437
temp + phosphate	global	(27,27.25]	-0.6151993	-0.6316727	-0.5987258
temp + phosphate	global	(27.25,27.5]	-0.5248537	-0.5655439	-0.4841636
temp + phosphate	global	(27.5,27.75]	-0.6274795	-0.6835913	-0.5713677
temp + phosphate	global	(27.75,27.85]	-0.7364708	-0.7566786	-0.7162629
temp + phosphate	global	(27.85,27.95]	-0.7235508	-0.7304254	-0.7166762
temp + phosphate	global	(27.95,28.05]	-0.7060539	-0.7256195	-0.6864882
temp + phosphate	global	(28.05,28.1]	-0.7965078	-0.8100207	-0.7829950
temp + phosphate	global	(28.1,28.2]	-0.5722091	-0.6638333	-0.4805849
temp + phosphate	global	(28.2,28.3]	-0.0435949	-0.0988913	0.0117014
temp + phosphate	global	(28.3,28.4]	0.1771274	0.0147352	0.3395195
temp + phosphate	global	(28.4, Inf]	0.7327417	0.6545917	0.8108917
temp + silicate	global	(-Inf,26]	-0.5027172	-0.5557207	-0.4497138
temp + silicate	global	(26,26.5]	-0.7333097	-0.7461053	-0.7205141
temp + silicate	global	(26.5,26.75]	-0.7789862	-0.7978407	-0.7601317
temp + silicate	global	(26.75,27]	-0.7218264	-0.7458454	-0.6978074
temp + silicate	global	(27,27.25]	-0.5342068	-0.5462221	-0.5221915
temp + silicate	global	(27.25,27.5]	-0.4055384	-0.4401381	-0.3709387
temp + silicate	global	(27.5,27.75]	-0.5163906	-0.5685133	-0.4642680
temp + silicate	global	(27.75,27.85]	-0.6475486	-0.6700059	-0.6250913
temp + silicate	global	(27.85,27.95]	-0.6642287	-0.6652093	-0.6632481
temp + silicate	global	(27.95,28.05]	-0.6394837	-0.6546711	-0.6242962
temp + silicate	global	(28.05,28.1]	-0.7186200	-0.7289452	-0.7082947
temp + silicate	global	(28.1,28.2]	-0.5046186	-0.5887780	-0.4204592
temp + silicate	global	(28.2,28.3]	0.0112002	-0.0583906	0.0807909
temp + silicate	global	(28.3,28.4]	0.5776758	0.4759416	0.6794101
temp + silicate	global	(28.4, Inf]	0.9124712	0.9075674	0.9173750

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
15773a0	jens-daniel-mueller	2021-08-06
da61d1a	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
29444a1	jens-daniel-mueller	2021-08-05
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
81a46a4	jens-daniel-mueller	2021-08-03
b88c61b	jens-daniel-mueller	2021-08-03
a53656d	jens-daniel-mueller	2021-08-03
88f7356	jens-daniel-mueller	2021-08-02
d759279	jens-daniel-mueller	2021-08-02
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	global	(-Inf,26]	-0.3834056	-0.4675055	-0.2993057
aou	global	(26,26.5]	-0.7260478	-0.7550140	-0.6970816
aou	global	(26.5,26.75]	-0.7043967	-0.7560324	-0.6527609
aou	global	(26.75,27]	-0.5737787	-0.5839949	-0.5635624
aou	global	(27,27.25]	-0.2523950	-0.2656859	-0.2391042
aou	global	(27.25,27.5]	-0.0898695	-0.1380419	-0.0416970
aou	global	(27.5,27.75]	-0.1740837	-0.2524555	-0.0957118
aou	global	(27.75,27.85]	-0.4499811	-0.4943120	-0.4056502
aou	global	(27.85,27.95]	-0.6070720	-0.6399144	-0.5742295
aou	global	(27.95,28.05]	-0.6741533	-0.7013113	-0.6469953
aou	global	(28.05,28.1]	-0.7680989	-0.7881642	-0.7480335
aou	global	(28.1,28.2]	-0.7885413	-0.8091436	-0.7679389
aou	global	(28.2,28.3]	-0.9101002	-0.9145324	-0.9056679
aou	global	(28.3,28.4]	0.0204377	-0.2787659	0.3196412
aou	global	(28.4, Inf]	-0.0946599	-0.3699825	0.1806626
nitrate	global	(-Inf,26]	-0.4267743	-0.5069882	-0.3465605
nitrate	global	(26,26.5]	-0.8620956	-0.8874902	-0.8367010
nitrate	global	(26.5,26.75]	-0.8635102	-0.8872530	-0.8397674
nitrate	global	(26.75,27]	-0.7852351	-0.7876674	-0.7828029
nitrate	global	(27,27.25]	-0.5893343	-0.5929676	-0.5857009
nitrate	global	(27.25,27.5]	-0.4981013	-0.5383918	-0.4578108
nitrate	global	(27.5,27.75]	-0.5482077	-0.6116068	-0.4848086
nitrate	global	(27.75,27.85]	-0.6882122	-0.7222502	-0.6541741
nitrate	global	(27.85,27.95]	-0.7687410	-0.7955758	-0.7419062
nitrate	global	(27.95,28.05]	-0.8108493	-0.8337257	-0.7879728
nitrate	global	(28.05,28.1]	-0.8597013	-0.8766899	-0.8427128
nitrate	global	(28.1,28.2]	-0.8892823	-0.9037044	-0.8748603
nitrate	global	(28.2,28.3]	-0.9722018	-0.9734915	-0.9709120
nitrate	global	(28.3,28.4]	-0.6164826	-0.8023512	-0.4306139
nitrate	global	(28.4, Inf]	-0.3242292	-0.3365630	-0.3118954
oxygen	global	(-Inf,26]	0.4295498	0.3533721	0.5057274
oxygen	global	(26,26.5]	0.5628984	0.5281227	0.5976741
oxygen	global	(26.5,26.75]	0.5338121	0.4676706	0.5999536
oxygen	global	(26.75,27]	0.4121346	0.3943806	0.4298887
oxygen	global	(27,27.25]	0.1221214	0.1031890	0.1410537
oxygen	global	(27.25,27.5]	-0.0112486	-0.0578716	0.0353744
oxygen	global	(27.5,27.75]	0.0765574	-0.0001602	0.1532751
oxygen	global	(27.75,27.85]	0.3764861	0.3329104	0.4200619
oxygen	global	(27.85,27.95]	0.5536011	0.5199502	0.5872521
oxygen	global	(27.95,28.05]	0.6234771	0.5963392	0.6506149
oxygen	global	(28.05,28.1]	0.7400645	0.7202949	0.7598341
oxygen	global	(28.1,28.2]	0.7560963	0.7259458	0.7862467
oxygen	global	(28.2,28.3]	0.8810502	0.8758745	0.8862259
oxygen	global	(28.3,28.4]	-0.0563144	-0.3373867	0.2247580
oxygen	global	(28.4, Inf]	0.0829218	-0.1933326	0.3591761
phosphate	global	(-Inf,26]	-0.4369331	-0.5017244	-0.3721417
phosphate	global	(26,26.5]	-0.8879282	-0.9085126	-0.8673437
phosphate	global	(26.5,26.75]	-0.9014297	-0.9215743	-0.8812851
phosphate	global	(26.75,27]	-0.8350665	-0.8389215	-0.8312115
phosphate	global	(27,27.25]	-0.6261362	-0.6299725	-0.6223000
phosphate	global	(27.25,27.5]	-0.4878060	-0.5265708	-0.4490413
phosphate	global	(27.5,27.75]	-0.5260770	-0.5889769	-0.4631771
phosphate	global	(27.75,27.85]	-0.6766041	-0.7133878	-0.6398204
phosphate	global	(27.85,27.95]	-0.7611955	-0.7896876	-0.7327033
phosphate	global	(27.95,28.05]	-0.8056456	-0.8287491	-0.7825421
phosphate	global	(28.05,28.1]	-0.8573087	-0.8749343	-0.8396831
phosphate	global	(28.1,28.2]	-0.8876796	-0.9011242	-0.8742351
phosphate	global	(28.2,28.3]	-0.9789164	-0.9789732	-0.9788597
phosphate	global	(28.3,28.4]	-0.7614324	-0.8155448	-0.7073199
phosphate	global	(28.4, Inf]	-0.5484051	-0.5758998	-0.5209103
sal	global	(-Inf,26]	0.2592291	0.2166139	0.3018444
sal	global	(26,26.5]	0.7976127	0.7953592	0.7998662
sal	global	(26.5,26.75]	0.8282981	0.8208034	0.8357929
sal	global	(26.75,27]	0.8323462	0.8073050	0.8573874
sal	global	(27,27.25]	0.7782592	0.7589272	0.7975912
sal	global	(27.25,27.5]	0.6842648	0.6690119	0.6995177
sal	global	(27.5,27.75]	0.7024946	0.6845865	0.7204026
sal	global	(27.75,27.85]	0.7325286	0.7153961	0.7496610
sal	global	(27.85,27.95]	0.7633835	0.7501816	0.7765854
sal	global	(27.95,28.05]	0.8179006	0.8118107	0.8239905
sal	global	(28.05,28.1]	0.8569940	0.8472715	0.8667164
sal	global	(28.1,28.2]	0.8537560	0.8510875	0.8564245
sal	global	(28.2,28.3]	0.9320210	0.9283418	0.9357002
sal	global	(28.3,28.4]	0.4601671	0.3610230	0.5593111
sal	global	(28.4, Inf]	0.2135907	-0.0377268	0.4649083
silicate	global	(-Inf,26]	-0.3628393	-0.4464535	-0.2792251
silicate	global	(26,26.5]	-0.7867024	-0.8004421	-0.7729628
silicate	global	(26.5,26.75]	-0.7877240	-0.7914259	-0.7840220
silicate	global	(26.75,27]	-0.6434943	-0.6435948	-0.6433938
silicate	global	(27,27.25]	-0.2850826	-0.3009280	-0.2692372
silicate	global	(27.25,27.5]	-0.0809580	-0.1237960	-0.0381200
silicate	global	(27.5,27.75]	-0.1680038	-0.2472376	-0.0887701
silicate	global	(27.75,27.85]	-0.4552652	-0.5096041	-0.4009263
silicate	global	(27.85,27.95]	-0.6115341	-0.6565665	-0.5665017
silicate	global	(27.95,28.05]	-0.6899573	-0.7238013	-0.6561133
silicate	global	(28.05,28.1]	-0.7639022	-0.7874528	-0.7403516
silicate	global	(28.1,28.2]	-0.8249722	-0.8434823	-0.8064621
silicate	global	(28.2,28.3]	-0.9444313	-0.9489811	-0.9398815
silicate	global	(28.3,28.4]	-0.3550509	-0.5584849	-0.1516169
silicate	global	(28.4, Inf]	-0.2059119	-0.2805800	-0.1312438
temp	global	(-Inf,26]	-0.1908461	-0.2133801	-0.1683121
temp	global	(26,26.5]	0.7829313	0.7808172	0.7850455
temp	global	(26.5,26.75]	0.8159055	0.8065973	0.8252137
temp	global	(26.75,27]	0.8090272	0.7845646	0.8334898
temp	global	(27,27.25]	0.7336174	0.7148997	0.7523350
temp	global	(27.25,27.5]	0.6269268	0.6199093	0.6339443
temp	global	(27.5,27.75]	0.6213384	0.5911635	0.6515132
temp	global	(27.75,27.85]	0.7036154	0.6744475	0.7327834
temp	global	(27.85,27.95]	0.7126004	0.7051513	0.7200494
temp	global	(27.95,28.05]	0.7421152	0.7389608	0.7452696
temp	global	(28.05,28.1]	0.7998490	0.7932044	0.8064935
temp	global	(28.1,28.2]	0.5870284	0.4552962	0.7187606
temp	global	(28.2,28.3]	0.0361509	0.0022516	0.0700502
temp	global	(28.3,28.4]	0.2034405	-0.0239289	0.4308099
temp	global	(28.4, Inf]	-0.0767341	-0.2926309	0.1391627

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