load_source_data: Load source data
In brianstock/MixSIAR: Bayesian Mixing Models in R

Description Usage Arguments Details Value See Also

load_source_data specifies the source data structure (factors, concentration dependence, data type) and loads the source data file. Sources are sorted alphabetically.

1	load_source_data(filename, source_factors = NULL, conc_dep, data_type, mix)

`filename`	character, csv file with the source data.
`source_factors`	character, column heading in 'filename' that matches a Fixed or Random Effect from the mixture data (`mix$factors`). Only used if you have source data by a factor (e.g. "Region"), otherwise `NULL`.
`conc_dep`	T/F, `TRUE` indicates you have concentration dependence data in 'filename'.
`data_type`	`"raw"` or `"means"`. "Raw" source data are repeated source biotracer measurements, "means" data are source biotracer values as means, SDs, and sample size. See manual for formatting.
`mix`	list, output from `load_mix_data`.

WARNING messages check for:

More than one source factor selected
Source factor not in mixture data
Source sample sizes missing or entered incorrectly
Source SD = 0

source, a list including:

source$n.sources: integer, number of sources
source$source_names: vector, source names/labels
source$S_MU: matrix, source means used for plotting - NOT passed to JAGS. If sources are by factor, then the third column of S_MU will be the factor values (e.g. for 4 sources and 3 Regions: 1 2 3 1 2 3 1 2 3 1 2 3)
source$S_SIG: matrix, source SDs used for plotting - NOT passed to JAGS. Same structure as S_MU.
source$S_factor1: factor or NULL, factor values if sources are by factor.
source$S_factor_levels: scalar or NULL, number of S_factor1 levels if sources are by factor.
source$conc: matrix or NULL, concentration dependence values for each isotope
source$MU_array: array of source means, dim(src,iso,f1) or dim(src,iso) if data_type="means", NULL if data_type="raw".
source$SIG2_array: array of source variances, dim(src,iso,f1) or dim(src,iso) if data_type="means", NULL if data_type="raw".
source$n_array: vector/matrix of source sample sizes, dim(src,f1) or dim(src) if data_type="means", NULL if data_type="raw".
source$SOURCE_array: array of source data, dim(src,iso,f1,replicate) or dim(src,iso,replicate) if data_type="raw", NULL if data_type="means".
source$n.rep: vector/matrix of source sample sizes, dim(src,f1) or dim(src) if data_type="raw", NULL if data_type="means".
source$by_factor: NA or factor number, are the source data by a Fixed or Random Effect?
source$data_type: "raw" or "means", same as input.
source$conc_dep: T/F, same as input.