Package: graph4lg 1.8.0
graph4lg: Build Graphs for Landscape Genetics Analysis
Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.
Authors:
graph4lg_1.8.0.tar.gz
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graph4lg.pdf |graph4lg.html✨
graph4lg/json (API)
NEWS
# Install 'graph4lg' in R: |
install.packages('graph4lg', repos = c('https://psavary3.r-universe.dev', 'https://cloud.r-project.org')) |
- data_ex_genind - Data_ex_genind genetic dataset
- data_ex_gstud - Data_ex_gstud genetic dataset
- data_ex_loci - Data_ex_loci genetic dataset
- data_simul_genind - Data_simul_genind genetic dataset
- data_tuto - Data_tuto : data used to generate the vignette
- pts_pop_ex - Pts_pop_ex : details on simulated populations
- pts_pop_simul - Pts_pop_simul : details on simulated populations
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:5de8af31ae. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | NOTE | Nov 17 2024 |
R-4.5-linux | NOTE | Nov 17 2024 |
R-4.4-win | NOTE | Nov 17 2024 |
R-4.4-mac | NOTE | Nov 17 2024 |
R-4.3-win | NOTE | Nov 17 2024 |
R-4.3-mac | NOTE | Nov 17 2024 |
Exports:add_nodes_attrcheck_mergecompar_r_fishercompute_graph_modulcompute_node_metricconvert_cddeg2raddf_to_pw_matdist_gc_hvsdist_gc_slcdist_gc_vicentydist_great_circledist_max_corrg_percolgen_graph_indepgen_graph_thrgen_graph_topogenepop_to_genindgenind_to_genepopgenind_to_structureget_graphabget_graphab_linksetget_graphab_linkset_costget_graphab_metricget_graphab_raster_codesgini_coeffgraph_modul_compargraph_node_compargraph_plangraph_plot_compargraph_to_dfgraph_to_shpgraph_topo_compargraphab_capacitygraphab_corridorgraphab_graphgraphab_interpolgraphab_linkgraphab_metricgraphab_modulgraphab_pointsetgraphab_projectgraphab_project_descgraphab_to_igraphgstud_to_genindharm_meankernel_paramlink_comparloci_to_genindmat_cost_distmat_gen_distmat_geo_distmat_pw_dpsmat_pw_fstmypalettepatch_areasplot_graph_lgplot_w_histpop_gen_indexpop_rare_gen_indexpw_mat_to_dfreorder_matsample_rastersc01scatter_distscatter_dist_gstructure_to_genind
Dependencies:abindade4adegenetapebase64encbootbslibcachemclassclassIntcliclustercolorspacecommonmarkcpp11crayonDBIdeldirdigestdplyre1071ecodistfansifarverfastmapfontawesomeforeignfsgastongdistancegenericsggplot2gluegoftestgtablegtoolshierfstathtmltoolshttpuvigraphisobandjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepegaspermutepillarpixmappkgconfigplyrpolyclippromisesproxypurrrR6rappdirsrasterrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreshape2rlangrparts2sassscalessegmentedseqinrsfshinysourcetoolsspspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrtensorterratibbletidyrtidyselectunitsutf8vctrsveganviridisLitewithrwkxtable
1 - Landscape and genetic data processing with graph4lg
Rendered frominput_data_processing_1.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2023-01-30
Started: 2020-07-22
2 - Genetic graph construction and analysis with graph4lg
Rendered fromgenetic_graph_2.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2020-07-22
Started: 2020-07-22
3 - Landscape graph construction and analysis with Graphab and graph4lg
Rendered fromlandscape_graph_3.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2021-03-16
Started: 2020-07-22
4 - Landscape and genetic graph comparison with graph4lg
Rendered fromgraph_comparisons_4.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2020-07-22
Started: 2020-07-22