This built-in list contains standardised mean (\(\mu\)), standard deviation
(\(\sigma\)) and sample size values for stable isotope and fatty acid
tracers, derived from the bcs_si and bcs_fa datasets. It is used
internally by the MixMustR package for modelling and analysis.
tracer_parametersA list with three elements:
A data frame containing the mean (\(\mu\)) values for each tracer, grouped by source. Columns represent tracers, and rows represent sources.
A data frame containing the standard deviation (\(\sigma\)) values for each tracer, grouped by source. Columns represent tracers, and rows represent sources.
A data frame containing the sample size values for each tracer, grouped by source. Columns represent tracers, and rows represent sources.
The data is derived from the bcs_si and bcs_fa datasets. See their
respective documentation for more details.
The tracer_parameters list is generated using the
MixMustR:::wrangle_tracer_pars function, which processes the bcs_si and
bcs_fa datasets to reshape and combine their tracer data. The mus element
contains the mean values for each tracer, the sigmas element contains
the corresponding standard deviations and the ns element contains the
sample sizes. These values are used as inputs for mixture modelling in the
MixMustR package.
library(MixMustR)
data(tracer_parameters)
str(tracer_parameters)
#> List of 3
#> $ mus : tibble [6 × 9] (S3: tbl_df/tbl/data.frame)
#> ..$ source : chr [1:6] "Macroalgae" "Mangrove" "Saltmarsh" "Seagrass" ...
#> ..$ d(13C/12C): num [1:6] -20.4 -27.7 -24.6 -15.1 -19.3 -13.3
#> ..$ d(15N/14N): num [1:6] 2.4 4.4 2.31 1.2 6.2 1.69
#> ..$ 24:0 : num [1:6] 0 2.73 3.3 0 0 0.29
#> ..$ 18:1w9 : num [1:6] 9.46 14.13 9.1 4 18.5 ...
#> ..$ 18:2w6 : num [1:6] 6.04 15.48 18.35 27 0.56 ...
#> ..$ 18:3w3 : num [1:6] 7.17 28.3 24.85 33 1.42 ...
#> ..$ 20:4w6 : num [1:6] 14.271 0.105 0 1 0.38 ...
#> ..$ 20:5w3 : num [1:6] 5.51 0 0 1 4.68 ...
#> $ sigmas: tibble [6 × 9] (S3: tbl_df/tbl/data.frame)
#> ..$ source : chr [1:6] "Macroalgae" "Mangrove" "Saltmarsh" "Seagrass" ...
#> ..$ d(13C/12C): num [1:6] 3.1 1.4 4.32 3 2.8 0.5
#> ..$ d(15N/14N): num [1:6] 1.2 2.6 1.67 1.3 3 0.5
#> ..$ 24:0 : num [1:6] 0.01 1.4 3.3 0.01 0.01 ...
#> ..$ 18:1w9 : num [1:6] 1.38 1.87 7.64 1 10.16 ...
#> ..$ 18:2w6 : num [1:6] 1.871 2.002 4.455 5 0.602 ...
#> ..$ 18:3w3 : num [1:6] 0.955 2.523 32.598 12 0.259 ...
#> ..$ 20:4w6 : num [1:6] 1.97 0.21 0.01 0.5 0.85 ...
#> ..$ 20:5w3 : num [1:6] 3.95 0.01 0.01 1 3.97 ...
#> $ ns : tibble [6 × 9] (S3: tbl_df/tbl/data.frame)
#> ..$ source : chr [1:6] "Macroalgae" "Mangrove" "Saltmarsh" "Seagrass" ...
#> ..$ d(13C/12C): int [1:6] 12 15 13 20 24 15
#> ..$ d(15N/14N): int [1:6] 12 15 13 20 24 15
#> ..$ 24:0 : int [1:6] 10 10 10 10 10 10
#> ..$ 18:1w9 : int [1:6] 10 10 10 10 10 10
#> ..$ 18:2w6 : int [1:6] 10 10 10 10 10 10
#> ..$ 18:3w3 : int [1:6] 10 10 10 10 10 10
#> ..$ 20:4w6 : int [1:6] 10 10 10 10 10 10
#> ..$ 20:5w3 : int [1:6] 10 10 10 10 10 10
# Access mean values
tracer_parameters$mus
#> # A tibble: 6 × 9
#> source `d(13C/12C)` `d(15N/14N)` `24:0` `18:1w9` `18:2w6` `18:3w3` `20:4w6`
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Macroalg… -20.4 2.4 0 9.46 6.04 7.17 14.3
#> 2 Mangrove -27.7 4.4 2.73 14.1 15.5 28.3 0.105
#> 3 Saltmarsh -24.6 2.31 3.3 9.1 18.4 24.8 0
#> 4 Seagrass -15.1 1.2 0 4 27 33 1
#> 5 SPOM -19.3 6.2 0 18.5 0.56 1.42 0.38
#> 6 Terrestr… -13.3 1.69 0.29 1.99 12.5 40.3 1.08
#> # ℹ 1 more variable: `20:5w3` <dbl>
# Access standard deviation values
tracer_parameters$sigmas
#> # A tibble: 6 × 9
#> source `d(13C/12C)` `d(15N/14N)` `24:0` `18:1w9` `18:2w6` `18:3w3` `20:4w6`
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Macroalg… 3.1 1.2 0.01 1.38 1.87 0.955 1.97
#> 2 Mangrove 1.4 2.6 1.40 1.87 2.00 2.52 0.21
#> 3 Saltmarsh 4.32 1.67 3.3 7.64 4.45 32.6 0.01
#> 4 Seagrass 3 1.3 0.01 1 5 12 0.5
#> 5 SPOM 2.8 3 0.01 10.2 0.602 0.259 0.850
#> 6 Terrestr… 0.5 0.5 0.09 0.14 0.91 3.52 1.02
#> # ℹ 1 more variable: `20:5w3` <dbl>
# Access sample sizes
tracer_parameters$ns
#> # A tibble: 6 × 9
#> source `d(13C/12C)` `d(15N/14N)` `24:0` `18:1w9` `18:2w6` `18:3w3` `20:4w6`
#> <chr> <int> <int> <int> <int> <int> <int> <int>
#> 1 Macroalg… 12 12 10 10 10 10 10
#> 2 Mangrove 15 15 10 10 10 10 10
#> 3 Saltmarsh 13 13 10 10 10 10 10
#> 4 Seagrass 20 20 10 10 10 10 10
#> 5 SPOM 24 24 10 10 10 10 10
#> 6 Terrestr… 15 15 10 10 10 10 10
#> # ℹ 1 more variable: `20:5w3` <int>