Interface to 'Phylocom'

Interface to 'Phylocom' (< http://phylodiversity.net/phylocom/>), a library for analysis of 'phylogenetic' community structure and character evolution. Includes low level methods for interacting with the three executables, as well as higher level interfaces for methods like 'aot', 'ecovolve', 'bladj', 'phylomatic', and more.

phylocomr gives you access to the Phylocom C library, licensed under BSD 2-clause

• ecovolve/ph_ecovolve - interface to ecovolve executable, and a higher level interface
• phylomatic/ph_phylomatic - interface to phylomatic executable, and a higher level interface
• phylocom - interface to phylocom executable
• ph_aot - higher level interface to aot
• ph_bladj - higher level interface to bladj
• ph_comdist/ph_comdistnt - higher level interface to comdist
• ph_comstruct - higher level interface to comstruct
• ph_comtrait - higher level interface to comtrait
• ph_pd - higher level interface to Faith's phylogenetic diversity

Installation

Stable version:

install.packages("phylocomr")

Development version:

remotes::install_github("ropensci/phylocomr")

library("phylocomr")
library("ape")

ecovolve

ph_ecovolve(speciation = 0.05, extinction = 0.005, time_units = 50)

phylomatic

taxa_file <- system.file("examples/taxa", package = "phylocomr")
phylo_file <- system.file("examples/phylo", package = "phylocomr")
(taxa_str <- readLines(taxa_file))

#> [1] "campanulaceae/lobelia/lobelia_conferta"          
#> [2] "cyperaceae/mapania/mapania_africana"             
#> [3] "amaryllidaceae/narcissus/narcissus_cuatrecasasii"

(phylo_str <- readLines(phylo_file))

#> [1] "(((((eliea_articulata,homalanthus_populneus)malpighiales,rosa_willmottiae),((macrocentrum_neblinae,qualea_clavata),hibiscus_pohlii)malvids),(((lobelia_conferta,((millotia_depauperata,(layia_chrysanthemoides,layia_pentachaeta)layia),senecio_flanaganii)asteraceae)asterales,schwenkia_americana),tapinanthus_buntingii)),(narcissus_cuatrecasasii,mapania_africana))poales_to_asterales;"

ph_phylomatic(taxa = taxa_str, phylo = phylo_str)

#> [1] "(lobelia_conferta:5.000000,(mapania_africana:1.000000,narcissus_cuatrecasasii:1.000000):1.000000)poales_to_asterales;\n"
#> attr(,"taxa_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/taxa_15f8d6abed0d7"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/phylo_15f8d15810a01"

use various different references trees

library(brranching)
library(ape)
 
r2 <- ape::read.tree(text=brranching::phylomatic_trees[['R20120829']])
smith2011 <- ape::read.tree(text=brranching::phylomatic_trees[['smith2011']])
zanne2014 <- ape::read.tree(text=brranching::phylomatic_trees[['zanne2014']])
 
# R20120829 tree
taxa_str <- c(
  "asteraceae/bidens/bidens_alba",
  "asteraceae/cirsium/cirsium_arvense",
  "fabaceae/lupinus/lupinus_albus"
)
ph_phylomatic(taxa = taxa_str, phylo = r2)

#> [1] "(((bidens_alba:13.000000,cirsium_arvense:13.000000):19.000000,lupinus_albus:27.000000):12.000000)euphyllophyte;\n"
#> attr(,"taxa_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/taxa_15f8d6a68c3d4"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/phylo_15f8d410c9e0"

# zanne2014 tree
taxa_str <- c(
  "zamiaceae/dioon/dioon_edule",
  "zamiaceae/encephalartos/encephalartos_dyerianus",
  "piperaceae/piper/piper_arboricola"
)
ph_phylomatic(taxa = taxa_str, phylo = zanne2014)

#> [1] "(((dioon_edule:121.744843,encephalartos_dyerianus:121.744850)zamiaceae:230.489838,piper_arboricola:352.234711)spermatophyta:88.058670);\n"
#> attr(,"taxa_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/taxa_15f8d6a359335"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/phylo_15f8d6353b30c"

# zanne2014 subtree
zanne2014_subtr <- ape::extract.clade(zanne2014, node='Loganiaceae')
zanne_subtree_file <- tempfile(fileext = ".txt")
ape::write.tree(zanne2014_subtr, file = zanne_subtree_file)
taxa_str <- c(
  "loganiaceae/neuburgia/neuburgia_corynocarpum",
  "loganiaceae/geniostoma/geniostoma_borbonicum",
  "loganiaceae/strychnos/strychnos_darienensis"
)
ph_phylomatic(taxa = taxa_str, phylo = zanne2014_subtr)

#> [1] "((neuburgia_corynocarpum:32.807743,(geniostoma_borbonicum:32.036335,strychnos_darienensis:32.036335):0.771406):1.635496)loganiaceae;\n"
#> attr(,"taxa_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/taxa_15f8d7174fa59"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/phylo_15f8d36e02340"

ph_phylomatic(taxa = taxa_str, phylo = zanne_subtree_file)

#> [1] "((neuburgia_corynocarpum:32.807743,(geniostoma_borbonicum:32.036335,strychnos_darienensis:32.036335):0.771406):1.635496)loganiaceae;\n"
#> attr(,"taxa_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/taxa_15f8d352a5ae5"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/t//rtmparnusy/file15f8dc100bc6.txt"

aot

traits_file <- system.file("examples/traits_aot", package = "phylocomr")
phylo_file <- system.file("examples/phylo_aot", package = "phylocomr")
traitsdf_file <- system.file("examples/traits_aot_df", package = "phylocomr")
traits <- read.table(text = readLines(traitsdf_file), header = TRUE,
  stringsAsFactors = FALSE)
phylo_str <- readLines(phylo_file)
ph_aot(traits = traits, phylo = phylo_str)

#> $trait_conservatism
#> # A tibble: 124 x 28
#>    trait trait.name  node name    age ntaxa n.nodes tip.mn tmn.ranklow
#>    <int> <chr>      <int> <chr> <dbl> <int>   <int>  <dbl>       <int>
#>  1     1 traitA         0 a         5    32       2   1.75        1000
#>  2     1 traitA         1 b         4    16       2   1.75         632
#>  3     1 traitA         2 c         3     8       2   1.75         645
#>  4     1 traitA         3 d         2     4       2   1.5          244
#>  5     1 traitA         4 e         1     2       2   1             45
#>  6     1 traitA         7 f         1     2       2   2           1000
#>  7     1 traitA        10 g         2     4       2   2           1000
#>  8     1 traitA        11 h         1     2       2   2           1000
#>  9     1 traitA        14 i         1     2       2   2           1000
#> 10     1 traitA        17 j         3     8       2   1.75         677
#> # … with 114 more rows, and 19 more variables: tmn.rankhi <int>,
#> #   tip.sd <dbl>, tsd.ranklow <int>, tsd.rankhi <int>, node.mn <dbl>,
#> #   nmn.ranklow <int>, nmn.rankhi <int>, nod.sd <dbl>, nsd.ranklow <int>,
#> #   nsd.rankhi <int>, sstipsroot <dbl>, sstips <dbl>,
#> #   percvaramongnodes <dbl>, percvaratnode <dbl>, contributionindex <dbl>,
#> #   sstipvnoderoot <dbl>, sstipvnode <dbl>, ssamongnodes <dbl>,
#> #   sswithinnodes <dbl>
#> 
#> $independent_contrasts
#> # A tibble: 31 x 17
#>     node name    age n.nodes contrast1 contrast2 contrast3 contrast4
#>    <int> <chr> <dbl>   <int>     <dbl>     <dbl>     <dbl>     <dbl>
#>  1     0 a         5       2     0         0         0         0.254
#>  2     1 b         4       2     0         1.03      0         0.516
#>  3     2 c         3       2     0.267     0.535     0         0    
#>  4     3 d         2       2     0.577     0         1.15      0    
#>  5     4 e         1       2     0         0         0.707     0    
#>  6     7 f         1       2     0         0         0.707     0    
#>  7    10 g         2       2     0         0         1.15      0    
#>  8    11 h         1       2     0         0         0.707     0    
#>  9    14 i         1       2     0         0         0.707     0    
#> 10    17 j         3       2     0.267     0.535     0         0    
#> # … with 21 more rows, and 9 more variables: contrastsd <dbl>,
#> #   lowval1 <dbl>, hival1 <dbl>, lowval2 <dbl>, hival2 <dbl>,
#> #   lowval3 <dbl>, hival3 <dbl>, lowval4 <dbl>, hival4 <dbl>
#> 
#> $phylogenetic_signal
#> # A tibble: 4 x 5
#>   trait  ntaxa varcontr varcn.ranklow varcn.rankhi
#>   <chr>  <int>    <dbl>         <int>        <int>
#> 1 traitA    32    0.054             2          999
#> 2 traitB    32    0.109             1         1000
#> 3 traitC    32    0.622            54          947
#> 4 traitD    32    0.011             1         1000
#> 
#> $ind_contrast_corr
#> # A tibble: 3 x 6
#>   xtrait ytrait ntaxa  picr  npos ncont
#>   <chr>  <chr>  <int> <dbl> <dbl> <int>
#> 1 traitA traitB    32 0.248  18.5    31
#> 2 traitA traitC    32 0.485  27.5    31
#> 3 traitA traitD    32 0      16.5    31

bladj

ages_file <- system.file("examples/ages", package = "phylocomr")
phylo_file <- system.file("examples/phylo_bladj", package = "phylocomr")
ages_df <- data.frame(
  a = c('malpighiales','salicaceae','fabaceae','rosales','oleaceae',
        'gentianales','apocynaceae','rubiaceae'),
  b = c(81,20,56,76,47,71,18,56)
)
phylo_str <- readLines(phylo_file)
(res <- ph_bladj(ages = ages_df, phylo = phylo_str))

#> [1] "((((((lomatium_concinnum:20.250000,campanula_vandesii:20.250000):20.250000,(((veronica_candidissima:10.125000,penstemon_paniculatus:10.125000)plantaginaceae:10.125000,justicia_oblonga:20.250000):10.125000,marsdenia_gilgiana:30.375000):10.125000):10.125000,epacris_alba-compacta:50.625000)ericales_to_asterales:10.125000,((daphne_anhuiensis:20.250000,syzygium_cumini:20.250000)malvids:20.250000,ditaxis_clariana:40.500000):20.250000):10.125000,thalictrum_setulosum:70.875000)eudicots:10.125000,((dendrocalamus_giganteus:27.000000,guzmania_densiflora:27.000000)poales:27.000000,warczewiczella_digitata:54.000000):27.000000)malpighiales:1.000000;\n"
#> attr(,"ages_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/ages"
#> attr(,"phylo_file")
#> [1] "/var/folders/fc/n7g_vrvn0sx_st0p8lxb3ts40000gn/T//RtmpARNuSY/phylo_15f8d1ca40203"

plot(ape::read.tree(text = res))

Meta

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• License: MIT
• Get citation information for phylocomr in R doing citation(package = 'phylocomr')
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