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Returns pathway prevalence across consortia from a multiple alignment.

Usage

prevalence(object)

# S4 method for class 'ConsortiumMetabolismAlignment'
prevalence(object)

Arguments

object

A ConsortiumMetabolismAlignment object of type "multiple".

Value

A data.frame with columns consumed, produced, nConsortia, and proportion.

Methods (by class)

Examples

cm1 <- synCM("comm_1", n_species = 3, max_met = 5)
cm2 <- synCM("comm_2", n_species = 4, max_met = 6)
cms <- ConsortiumMetabolismSet(cm1, cm2, name = "test")
#> 
#> ── Creating CMS "test" ─────────────────────────────────────────────────────────
#>  Validating 2 <ConsortiumMetabolism> objects
#>  Validating 2 <ConsortiumMetabolism> objects [11ms]
#> 
#>  Collecting metabolites from 2 consortia
#>  Collecting metabolites from 2 consortia [29ms]
#> 
#>  Re-indexing 7 unique metabolites
#>  Re-indexing 7 unique metabolites [26ms]
#> 
#>  Expanding 2 binary matrices to 7-dimensional space
#>  Expanding 2 binary matrices to 7-dimensional space [22ms]
#> 
#>  Computing 7 x 7 levels matrix
#>  Computing 7 x 7 levels matrix [36ms]
#> 
#>  Computing pairwise overlap (1 pairs via crossprod)
#>  Computing pairwise overlap (1 pairs via crossprod) [23ms]
#> 
#>  Assembling pathway data from 2 consortia
#>  Assembling pathway data from 2 consortia [29ms]
#> 
#>  Building dendrogram from 2 x 2 dissimilarity matrix
#>  Building dendrogram from 2 x 2 dissimilarity matrix [20ms]
#> 
#>  Extracting dendrogram node positions
#>  Extracting dendrogram node positions [22ms]
#> 
#>  Collecting 2 consortium graphs
#> CMS "test" created: 2 consortia, 7 metabolites (0.2s)
#>  Collecting 2 consortium graphs [76ms]
#> 
cma <- align(cms)
#> Computing multiple alignment for 2 consortia using "FOS".
prevalence(cma)
#>    consumed produced nConsortia proportion
#> 1      met2     met1          1        0.5
#> 2      met4     met1          1        0.5
#> 3      met5     met1          2        1.0
#> 4      met2     met3          1        0.5
#> 5      met4     met3          1        0.5
#> 6      met5     met3          2        1.0
#> 7      met2     met4          1        0.5
#> 8      met5     met4          1        0.5
#> 9     media     met5          1        0.5
#> 10     met3     met5          1        0.5
#> 11     met6     met5          1        0.5
#> 12     met2     met6          1        0.5
#> 13     met5     met6          1        0.5