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Extracting information from cranly package networks: extractors and word clouds
In cranly: Package Directives and Collaboration Networks in CRAN
cranly extractor functions
Since version 0.3, cranly includes functions for extracting information from cranly_network objects (see ?extractor-functions). All extractor functions in cranly try to figure out what y is in the statements
y is [the] extractor-function a package/author
CRAN package directives and author collaboration networks
Let's attach cranly
library("cranly")
and use instances of the package directives and author collaboration networks
package_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/package_network.rds"))
author_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/author_network.rds"))
from CRAN's state on 2022-08-26 14:43:43 BST
Alternatively, today's package directives and author collaboration networks can be constructed by doing
cran_db <- clean_CRAN_db()
package_network <- build_network(cran_db)
author_network <- build_network(cran_db, perspective = "author")
Example queries
Packages by Kurt Hornik
package_network |> package_by("Kurt Hornik", exact = TRUE)
#> [1] "arules" "bibtex" "bindata"
#> [4] "cclust" "chron" "clue"
#> [7] "cluster" "coin" "colorspace"
#> [10] "cordillera" "ctv" "date"
#> [13] "dendextend" "digest" "e1071"
#> [16] "exactRankTests" "fortunes" "gap"
#> [19] "gsignal" "ISOcodes" "isotone"
#> [22] "kernlab" "lpSolveAPI" "MASS"
#> [25] "mda" "mistr" "movMF"
#> [28] "mvord" "nloptr" "NLP"
#> [31] "NLPclient" "NLPutils" "OAIHarvester"
#> [34] "openNLP" "openNLPdata" "opGMMassessment"
#> [37] "oz" "pandocfilters" "party"
#> [40] "polyclip" "polynom" "PolynomF"
#> [43] "princurve" "qrmdata" "qrmtools"
#> [46] "Rcplex" "relations" "Rglpk"
#> [49] "RKEA" "RKEAjars" "ROI"
#> [52] "ROI.plugin.msbinlp" "Rpoppler" "Rsymphony"
#> [55] "RWeka" "RWekajars" "seriation"
#> [58] "sets" "signal" "skmeans"
#> [61] "slam" "stablelearner" "strucchange"
#> [64] "strucchangeRcpp" "tau" "textcat"
#> [67] "textplot" "tm" "tm.plugin.mail"
#> [70] "topicmodels" "tseries" "TSP"
#> [73] "Unicode" "vcd" "W3CMarkupValidator"
#> [76] "WeightSVM" "wordnet"
Packages by people named "Ioannis"
package_network |> package_by("Ioannis")
#> [1] "BCT" "betareg" "brglm" "brglm2"
#> [5] "camtrapR" "detectseparation" "enrichwith" "FLR"
#> [9] "IPMbook" "MXM" "PlackettLuce" "profileModel"
#> [13] "Rfast" "trackeR" "trackeRapp" "USP"
Packages with "glm" in their name
author_network |> package_with("glm")
#> [1] "glmlep" "glmnet" "biglm" "biglmm"
#> [5] "dbglm" "glm2" "glmertree" "glmx"
#> [9] "cglm" "glmmTMB" "aglm" "StroupGLMM"
#> [13] "fastglm" "r2glmm" "bestglm" "eventglm"
#> [17] "GLMaSPU" "glmbb" "glmm" "AutoStepwiseGLM"
#> [21] "glmnetUtils" "glmvsd" "GLMpack" "poisson.glm.mix"
#> [25] "glmmfields" "HBglm" "brglm" "brglm2"
#> [29] "GLMMRR" "plsRglm" "GLMMadaptive" "BranchGLM"
#> [33] "glm.predict" "mbrglm" "CPMCGLM" "hdpGLM"
#> [37] "glmdisc" "CIS.DGLM" "SplitGLM" "icdGLM"
#> [41] "misclassGLM" "pglm" "hglm" "hglm.data"
#> [45] "RPEGLMEN" "glmpath" "GlmSimulatoR" "glmc"
#> [49] "randomGLM" "glmmEP" "dglm" "GLMsData"
#> [53] "DGLMExtPois" "dhglm" "mdhglm" "ezglm"
#> [57] "parglm" "glmmSeq" "holiglm" "glmmML"
#> [61] "MGLM" "FGLMtrunc" "gglm" "speedglm"
#> [65] "glmm.hp" "glm.deploy" "glmtlp" "GLMcat"
#> [69] "glmtree" "glme" "glmglrt" "glmmLasso"
#> [73] "glmmPen" "glmnetcr" "glmpathcr" "glmnetSE"
#> [77] "glmpca" "glmtoolbox" "glmtrans" "glmulti"
#> [81] "glmxdiag" "HDGLM" "simglm" "htmcglm"
#> [85] "mcglm" "ICglm" "mglmn" "lsplsGlm"
#> [89] "MCMCglmm" "mcemGLM" "robmixglm" "mvglmmRank"
#> [93] "oglmx" "prettyglm" "QGglmm" "stepjglm"
Authors of the lubridate package
package_network |> author_of("lubridate", exact = TRUE)
#> [1] "Vitalie Spinu" "Garrett Grolemund" "Hadley Wickham"
#> [4] "Davis Vaughan" "Ian Lyttle" "Imanuel Costigan"
#> [7] "Jason Law" "Doug Mitarotonda" "Joseph Larmarange"
#> [10] "Jonathan Boiser" "Chel Hee Lee" "Google Inc"
Authors with "Ioan" in their name
package_network |> author_with("Ioan")
#> [1] "Ioan Gabriel Bucur" "Ioannis Papageorgiou" "Ioannis Kontoyiannis"
#> [4] "Ioannis Kosmidis" "Ioanna Manolopoulou" "Ioannis Alexiou"
#> [7] "Ioannis N Athanasiadis" "Ioannis Ntzoufras" "Ioannis Tsamardinos"
#> [10] "Alex Ioannides" "Eleni Ioanna Delatola" "Ioana-Elena Oana"
#> [13] "Lazaros Ioannidis"
Packages suggested by, imported by and enhanced by the sf package
package_network |> suggested_by("sf", exact = TRUE)
#> [1] "blob" "covr" "dplyr" "ggplot2"
#> [5] "knitr" "lwgeom" "maps" "mapview"
#> [9] "Matrix" "microbenchmark" "odbc" "pbapply"
#> [13] "pillar" "pool" "raster" "rlang"
#> [17] "rmarkdown" "RPostgres" "RPostgreSQL" "RSQLite"
#> [21] "sp" "spatstat" "spatstat.geom" "spatstat.random"
#> [25] "spatstat.linnet" "spatstat.utils" "stars" "terra"
#> [29] "testthat" "tibble" "tidyr" "tidyselect"
#> [33] "tmap" "vctrs" "wk"
package_network |> imported_by("sf", exact = TRUE)
#> [1] "classInt" "DBI" "graphics" "grDevices" "grid" "magrittr"
#> [7] "Rcpp" "s2" "stats" "tools" "units" "utils"
package_network |> enhanced_by("sf", exact = TRUE)
#> character(0)
Packages that are suggesting, importing, enhancing the sf package
package_network |> suggesting("sf", exact = TRUE)
#> [1] "accessibility" "adklakedata" "AMAPVox"
#> [4] "apsimx" "argoFloats" "auk"
#> [7] "BiodiversityR" "BIOMASS" "biscale"
#> [10] "bmstdr" "BSBT" "cancensus"
#> [13] "CAST" "censusxy" "ckanr"
#> [16] "climaemet" "climatrends" "cmhc"
#> [19] "colorist" "ctmm" "dataRetrieval"
#> [22] "deckgl" "DeclareDesign" "disdat"
#> [25] "dodgr" "echelon" "echor"
#> [28] "EcoIndR" "efdm" "ENMeval"
#> [31] "eRTG3D" "eurostat" "fasterize"
#> [34] "febr" "FlickrAPI" "gdalcubes"
#> [37] "gear" "geocmeans" "geodaData"
#> [40] "geohashTools" "geojson" "geometa"
#> [43] "geomtextpath" "geos" "gfcanalysis"
#> [46] "ggblanket" "ggformula" "gghighlight"
#> [49] "gginnards" "ggiraph" "ggpattern"
#> [52] "ggplot2" "ggrastr" "googlePolylines"
#> [55] "graphhopper" "graticule" "grwat"
#> [58] "gstat" "gtfsrouter" "ipumsr"
#> [61] "isoband" "janitor" "jsonlite"
#> [64] "kdtools" "leaflet" "leaflet.extras2"
#> [67] "leri" "lutz" "mapsFinland"
#> [70] "mdsr" "metamer" "mlr"
#> [73] "mlr3spatiotempcv" "mudata2" "nlaR"
#> [76] "o2geosocial" "oce" "od"
#> [79] "onemapsgapi" "opencage" "osmdata"
#> [82] "palmid" "pinochet" "plainview"
#> [85] "plotly" "plumber" "PointedSDMs"
#> [88] "polyCub" "polylabelr" "protolite"
#> [91] "raster" "rasterVis" "rayrender"
#> [94] "rayshader" "rcartocolor" "rdhs"
#> [97] "readwritesqlite" "recogito" "regional"
#> [100] "regweight" "reproducible" "rgbif"
#> [103] "rgee" "RGENERATEPREC" "rGhanaCensus"
#> [106] "rgrass" "rgrass7" "rinat"
#> [109] "rmangal" "RtD3" "sbtools"
#> [112] "sdcSpatial" "sdmApp" "sociome"
#> [115] "soilDB" "sp" "spacetime"
#> [118] "SpaceTimeBSS" "SpaDES.tools" "SpatialBSS"
#> [121] "spbabel" "spData" "spflow"
#> [124] "spotoroo" "spsur" "swmmr"
#> [127] "terra" "tgver" "tricolore"
#> [130] "ukpolice" "unifir" "ursa"
#> [133] "USAboundaries" "waterquality" "wk"
package_network |> importing("sf", exact = TRUE)
#> [1] "abmR" "abstr" "adw"
#> [4] "amt" "aopdata" "areal"
#> [7] "ARPALData" "ascotraceR" "aurin"
#> [10] "BARIS" "basemaps" "bayesmove"
#> [13] "bbsBayes" "bcdata" "bcputility"
#> [16] "bdc" "bdl" "BIEN"
#> [19] "bigDM" "blockCV" "bluebike"
#> [22] "bnspatial" "briskaR" "btb"
#> [25] "buffeRs" "camtrapR" "capm"
#> [28] "CARBayes" "CARBayesdata" "CARBayesST"
#> [31] "card" "cartograflow" "cartogram"
#> [34] "cartogramR" "cartography" "CatastRo"
#> [37] "cdcfluview" "cdrcR" "censable"
#> [40] "chirps" "clhs" "ClimMobTools"
#> [43] "comorosmaps" "concaveman" "conleyreg"
#> [46] "ConR" "CopernicusDEM" "covid19br"
#> [49] "covid19sf" "covidcast" "crawl"
#> [52] "crimedata" "CropScapeR" "crsuggest"
#> [55] "cshapes" "cubble" "cyclestreets"
#> [58] "datazoom.amazonia" "daymetr" "Directional"
#> [61] "distanceto" "divseg" "dots"
#> [64] "dsims" "dssd" "dwp"
#> [67] "ebirdst" "edbuildmapr" "eks"
#> [70] "elevatr" "EmissV" "envirem"
#> [73] "epiR" "epm" "eSDM"
#> [76] "exactextractr" "extRatum" "FedData"
#> [79] "fgdr" "FIESTA" "FIESTAutils"
#> [82] "fisheye" "fitbitViz" "flexpolyline"
#> [85] "flightplot" "foieGras" "forestecology"
#> [88] "FORTLS" "fsr" "galah"
#> [91] "GapAnalysis" "gbm.auto" "gdalUtilities"
#> [94] "GeNetIt" "geobr" "geodimension"
#> [97] "geodiv" "geodrawr" "geofacet"
#> [100] "geofi" "geogrid" "geojsonio"
#> [103] "geoknife" "geomander" "geomaroc"
#> [106] "geometr" "geonetwork" "geostan"
#> [109] "geouy" "geoviz" "ggOceanMaps"
#> [112] "ggseg" "ggsn" "ggspatial"
#> [115] "ggVennDiagram" "giscoR" "glottospace"
#> [118] "grainchanger" "graph4lg" "GREENeR"
#> [121] "gridpattern" "gtfs2gps" "gtfstools"
#> [124] "gwavr" "GWnnegPCA" "GWpcor"
#> [127] "gwpcormapper" "GWSDAT" "h3jsr"
#> [130] "happign" "HDSpatialScan" "helsinki"
#> [133] "hereR" "himach" "hwsdr"
#> [136] "hypsoLoop" "IceSat2R" "idbr"
#> [139] "imcRtools" "IRexamples" "itsdm"
#> [142] "japanmesh" "jpgrid" "jpmesh"
#> [145] "klexdatr" "kokudosuuchi" "LAGOSNE"
#> [148] "landsepi" "latticeDensity" "layer"
#> [151] "lazysf" "lconnect" "leafem"
#> [154] "leafgl" "leafpm" "leafpop"
#> [157] "lidaRtRee" "lidR" "linemap"
#> [160] "link2GI" "LMoFit" "lwgeom"
#> [163] "macleish" "MainExistingDatasets" "mapboxapi"
#> [166] "mapchina" "mapedit" "mapi"
#> [169] "mapiso" "mapme.biodiversity" "mapping"
#> [172] "mapsapi" "mapscanner" "mapsf"
#> [175] "mapSpain" "maptiles" "mapview"
#> [178] "MazamaSpatialPlots" "meteoland" "meteospain"
#> [181] "mgwrsar" "micromapST" "mlr3spatial"
#> [184] "MODISTools" "MODIStsp" "motif"
#> [187] "moveVis" "mregions" "MTA"
#> [190] "naturaList" "ncdfgeom" "ndi"
#> [193] "NetLogoR" "netmap" "nhdplusTools"
#> [196] "nhdR" "NipponMap" "njgeo"
#> [199] "nlrx" "nominatimlite" "oceanic"
#> [202] "oceanis" "opendatatoronto" "openeo"
#> [205] "opentripplanner" "Orcs" "osmextract"
#> [208] "osrm" "otpr" "owidR"
#> [211] "ows4R" "ozmaps" "paleopop"
#> [214] "parlitools" "pct" "pgirmess"
#> [217] "PL94171" "PlanetNICFI" "plotdap"
#> [220] "plotKML" "populR" "potential"
#> [223] "pRecipe" "prisonbrief" "pspatreg"
#> [226] "PWFSLSmoke" "qualmap" "quickmapr"
#> [229] "r5r" "raceland" "rangemap"
#> [232] "rangeMapper" "rasterbc" "rasterDT"
#> [235] "rasterpic" "raytracing" "rbenvo"
#> [238] "rcage" "redist" "redistmetrics"
#> [241] "Relectoral" "remap" "rerddapXtracto"
#> [244] "rFIA" "rfishnet2" "RFmerge"
#> [247] "rgeoda" "rgeopat2" "rgugik"
#> [250] "rmapshaper" "rmapzen" "rnaturalearth"
#> [253] "rnrfa" "roads" "robis"
#> [256] "RPyGeo" "Rsagacmd" "RStoolbox"
#> [259] "rts2" "rtsVis" "RWmisc"
#> [262] "sabre" "safedata" "sandwichr"
#> [265] "SDLfilter" "secr" "seedreg"
#> [268] "segmetric" "sen2r" "sfarrow"
#> [271] "sfdct" "sfdep" "sfhotspot"
#> [274] "sfnetworks" "sftrack" "sgsR"
#> [277] "simodels" "simplevis" "sits"
#> [280] "slendr" "smartmap" "smile"
#> [283] "SMITIDstruct" "smoothr" "spacejamr"
#> [286] "spatgeom" "spatialEco" "SpatialKDE"
#> [289] "SpatialPosition" "spatialrisk" "spatialsample"
#> [292] "spectator" "spectralR" "sphet"
#> [295] "spmodel" "spnaf" "spNetwork"
#> [298] "spqdep" "SRTsim" "starsTileServer"
#> [301] "stats19" "stplanr" "stppSim"
#> [304] "sugarbag" "SUNGEO" "supercells"
#> [307] "swfscDAS" "swfscMisc" "SWMPrExtension"
#> [310] "SWTools" "synoptReg" "tanaka"
#> [313] "telemac" "terrainr" "tidycensus"
#> [316] "tidygeoRSS" "tidyterra" "tidytransit"
#> [319] "tidyUSDA" "tigris" "tilemaps"
#> [322] "tinytiger" "tmap" "tmaptools"
#> [325] "tongfen" "track2KBA" "trackeRapp"
#> [328] "transformr" "treePlotArea" "treetop"
#> [331] "trigpoints" "uavRmp" "upstartr"
#> [334] "valhallr" "valuemap" "VancouvR"
#> [337] "VARMER" "vein" "velociraptr"
#> [340] "VicmapR" "vietnameseConverter" "waywiser"
#> [343] "weed" "WEGE" "wildlifeDI"
#> [346] "zonebuilder"
package_network |> enhancing("sf", exact = TRUE)
#> [1] "landscapemetrics"
Packages that depend on the sf package
package_network |> depending_on("sf", exact = TRUE)
#> [1] "APAtree" "arcpullr" "basf" "bcmaps" "canadamaps"
#> [6] "CCAMLRGIS" "chilemapas" "ecochange" "GADMTools" "habCluster"
#> [11] "micromap" "nngeo" "prioritizr" "RCzechia" "RGISTools"
#> [16] "rLFT" "sftime" "siland" "spatialreg" "spdep"
#> [21] "spsurvey" "sspm" "stars" "starsExtra" "stcos"
#> [26] "tilegramsR" "transfR" "wdnr.gis" "wdpar" "windAC"
Packages that are dependencies of the sf package
package_network |> dependency_of("sf", exact = TRUE)
#> [1] "methods"
Packages maintained by everyone with "Helen" in their name
package_network |> maintained_by("Helen")
#> [1] "bild" "cold" "GENLIB" "microPop" "villager"
All available info, on packages maintained by everyone with "Helen" in their name
package_network |> maintained_by("Helen", flat = FALSE) |> dim()
#> [1] 5 67
The maintainer of data.table
package_network |> maintainer_of("data.table", exact = TRUE)
#> [1] "Matt Dowle"
The email of the maintainer of trackeRapp
trackeRapp_maintainer <- package_network |> maintainer_of("trackeRapp", exact = TRUE)
package_network |> email_of(trackeRapp_maintainer, exact = TRUE)
#> [1] "ioannis.kosmidis@warwick.ac.uk"
All emails of maintainers using an email address from University of Warwick
package_network |> email_with("warwick.ac.uk")
#> [1] "nick.parsons@warwick.ac.uk" "ioannis.kosmidis@warwick.ac.uk"
#> [3] "haotian.xu@warwick.ac.uk" "s.tavakoli@warwick.ac.uk"
#> [5] "d.selby@warwick.ac.uk" "s.stein@warwick.ac.uk"
#> [7] "Nicole.Schwitter.1@warwick.ac.uk" "tom.berrett@warwick.ac.uk"
#> [9] "a.dickerson@warwick.ac.uk" "d.firth@warwick.ac.uk"
#> [11] "michelle.kendall@warwick.ac.uk"
The title, the description, the version and the license of the semnar package
package_network |> title_of("semnar", exact = TRUE)
#> character(0)
package_network |> description_of("semnar", exact = TRUE)
#> character(0)
package_network |> version_of("semnar", exact = TRUE)
#> character(0)
Distribution of the release dates of all packages in CRAN
package_network |> release_date_of(Inf) |>
hist(breaks = 50, main = "", xlab = "date", freq = TRUE)
Word clouds
Since version 0.5 cranly provides methods to construct word clouds of either author names, package descriptions or package titles. For example, the word cloud of the descriptions of the packages maintained by me and Edzer Pebesma are
word_cloud(package_network, maintainer = "Ioannis Kosmidis", exact = TRUE, min.freq = 1)
word_cloud(package_network, maintainer = "Edzer Pebesma", exact = TRUE, min.freq = 1)
or the word cloud of the titles of those packages are
word_cloud(package_network, maintainer = "Ioannis Kosmidis", perspective = "title", exact = TRUE,
scale = c(2, 0.1), min.freq = 1)
word_cloud(package_network, maintainer = "Edzer Pebesma", perspective = "title", exact = TRUE,
scale = c(2, 0.1), min.freq = 1)
More complex queries can be achieved by using the extractor functions and computing the term frequencies manually. For example, the word cloud of all packages maintained by people with "warwick.ac.uk" in their email is
warwick_emails <- package_network |> email_with("warwick.ac.uk", flat = FALSE)
warwick_pkgs <- warwick_emails$package
descriptions <- package_network |> description_of(warwick_pkgs, exact = FALSE)
term_frequency <- compute_term_frequency(descriptions)
word_cloud(term_frequency, min.freq = 5)
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cranly extractor functions
Since version 0.3, cranly includes functions for extracting information from cranly_network objects (see ?extractor-functions). All extractor functions in cranly try to figure out what y is in the statements
y is [the] extractor-function a package/author
CRAN package directives and author collaboration networks
Let's attach cranly
library("cranly")
and use instances of the package directives and author collaboration networks
package_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/package_network.rds")) author_network <- readRDS(url("https://raw.githubusercontent.com/ikosmidis/cranly/develop/inst/extdata/author_network.rds"))
from CRAN's state on 2022-08-26 14:43:43 BST
Alternatively, today's package directives and author collaboration networks can be constructed by doing
cran_db <- clean_CRAN_db() package_network <- build_network(cran_db) author_network <- build_network(cran_db, perspective = "author")
Example queries
Packages by Kurt Hornik
package_network |> package_by("Kurt Hornik", exact = TRUE) #> [1] "arules" "bibtex" "bindata" #> [4] "cclust" "chron" "clue" #> [7] "cluster" "coin" "colorspace" #> [10] "cordillera" "ctv" "date" #> [13] "dendextend" "digest" "e1071" #> [16] "exactRankTests" "fortunes" "gap" #> [19] "gsignal" "ISOcodes" "isotone" #> [22] "kernlab" "lpSolveAPI" "MASS" #> [25] "mda" "mistr" "movMF" #> [28] "mvord" "nloptr" "NLP" #> [31] "NLPclient" "NLPutils" "OAIHarvester" #> [34] "openNLP" "openNLPdata" "opGMMassessment" #> [37] "oz" "pandocfilters" "party" #> [40] "polyclip" "polynom" "PolynomF" #> [43] "princurve" "qrmdata" "qrmtools" #> [46] "Rcplex" "relations" "Rglpk" #> [49] "RKEA" "RKEAjars" "ROI" #> [52] "ROI.plugin.msbinlp" "Rpoppler" "Rsymphony" #> [55] "RWeka" "RWekajars" "seriation" #> [58] "sets" "signal" "skmeans" #> [61] "slam" "stablelearner" "strucchange" #> [64] "strucchangeRcpp" "tau" "textcat" #> [67] "textplot" "tm" "tm.plugin.mail" #> [70] "topicmodels" "tseries" "TSP" #> [73] "Unicode" "vcd" "W3CMarkupValidator" #> [76] "WeightSVM" "wordnet"
Packages by people named "Ioannis"
package_network |> package_by("Ioannis") #> [1] "BCT" "betareg" "brglm" "brglm2" #> [5] "camtrapR" "detectseparation" "enrichwith" "FLR" #> [9] "IPMbook" "MXM" "PlackettLuce" "profileModel" #> [13] "Rfast" "trackeR" "trackeRapp" "USP"
Packages with "glm" in their name
author_network |> package_with("glm") #> [1] "glmlep" "glmnet" "biglm" "biglmm" #> [5] "dbglm" "glm2" "glmertree" "glmx" #> [9] "cglm" "glmmTMB" "aglm" "StroupGLMM" #> [13] "fastglm" "r2glmm" "bestglm" "eventglm" #> [17] "GLMaSPU" "glmbb" "glmm" "AutoStepwiseGLM" #> [21] "glmnetUtils" "glmvsd" "GLMpack" "poisson.glm.mix" #> [25] "glmmfields" "HBglm" "brglm" "brglm2" #> [29] "GLMMRR" "plsRglm" "GLMMadaptive" "BranchGLM" #> [33] "glm.predict" "mbrglm" "CPMCGLM" "hdpGLM" #> [37] "glmdisc" "CIS.DGLM" "SplitGLM" "icdGLM" #> [41] "misclassGLM" "pglm" "hglm" "hglm.data" #> [45] "RPEGLMEN" "glmpath" "GlmSimulatoR" "glmc" #> [49] "randomGLM" "glmmEP" "dglm" "GLMsData" #> [53] "DGLMExtPois" "dhglm" "mdhglm" "ezglm" #> [57] "parglm" "glmmSeq" "holiglm" "glmmML" #> [61] "MGLM" "FGLMtrunc" "gglm" "speedglm" #> [65] "glmm.hp" "glm.deploy" "glmtlp" "GLMcat" #> [69] "glmtree" "glme" "glmglrt" "glmmLasso" #> [73] "glmmPen" "glmnetcr" "glmpathcr" "glmnetSE" #> [77] "glmpca" "glmtoolbox" "glmtrans" "glmulti" #> [81] "glmxdiag" "HDGLM" "simglm" "htmcglm" #> [85] "mcglm" "ICglm" "mglmn" "lsplsGlm" #> [89] "MCMCglmm" "mcemGLM" "robmixglm" "mvglmmRank" #> [93] "oglmx" "prettyglm" "QGglmm" "stepjglm"
Authors of the lubridate package
package_network |> author_of("lubridate", exact = TRUE) #> [1] "Vitalie Spinu" "Garrett Grolemund" "Hadley Wickham" #> [4] "Davis Vaughan" "Ian Lyttle" "Imanuel Costigan" #> [7] "Jason Law" "Doug Mitarotonda" "Joseph Larmarange" #> [10] "Jonathan Boiser" "Chel Hee Lee" "Google Inc"
Authors with "Ioan" in their name
package_network |> author_with("Ioan") #> [1] "Ioan Gabriel Bucur" "Ioannis Papageorgiou" "Ioannis Kontoyiannis" #> [4] "Ioannis Kosmidis" "Ioanna Manolopoulou" "Ioannis Alexiou" #> [7] "Ioannis N Athanasiadis" "Ioannis Ntzoufras" "Ioannis Tsamardinos" #> [10] "Alex Ioannides" "Eleni Ioanna Delatola" "Ioana-Elena Oana" #> [13] "Lazaros Ioannidis"
Packages suggested by, imported by and enhanced by the sf package
package_network |> suggested_by("sf", exact = TRUE) #> [1] "blob" "covr" "dplyr" "ggplot2" #> [5] "knitr" "lwgeom" "maps" "mapview" #> [9] "Matrix" "microbenchmark" "odbc" "pbapply" #> [13] "pillar" "pool" "raster" "rlang" #> [17] "rmarkdown" "RPostgres" "RPostgreSQL" "RSQLite" #> [21] "sp" "spatstat" "spatstat.geom" "spatstat.random" #> [25] "spatstat.linnet" "spatstat.utils" "stars" "terra" #> [29] "testthat" "tibble" "tidyr" "tidyselect" #> [33] "tmap" "vctrs" "wk" package_network |> imported_by("sf", exact = TRUE) #> [1] "classInt" "DBI" "graphics" "grDevices" "grid" "magrittr" #> [7] "Rcpp" "s2" "stats" "tools" "units" "utils" package_network |> enhanced_by("sf", exact = TRUE) #> character(0)
Packages that are suggesting, importing, enhancing the sf package
package_network |> suggesting("sf", exact = TRUE) #> [1] "accessibility" "adklakedata" "AMAPVox" #> [4] "apsimx" "argoFloats" "auk" #> [7] "BiodiversityR" "BIOMASS" "biscale" #> [10] "bmstdr" "BSBT" "cancensus" #> [13] "CAST" "censusxy" "ckanr" #> [16] "climaemet" "climatrends" "cmhc" #> [19] "colorist" "ctmm" "dataRetrieval" #> [22] "deckgl" "DeclareDesign" "disdat" #> [25] "dodgr" "echelon" "echor" #> [28] "EcoIndR" "efdm" "ENMeval" #> [31] "eRTG3D" "eurostat" "fasterize" #> [34] "febr" "FlickrAPI" "gdalcubes" #> [37] "gear" "geocmeans" "geodaData" #> [40] "geohashTools" "geojson" "geometa" #> [43] "geomtextpath" "geos" "gfcanalysis" #> [46] "ggblanket" "ggformula" "gghighlight" #> [49] "gginnards" "ggiraph" "ggpattern" #> [52] "ggplot2" "ggrastr" "googlePolylines" #> [55] "graphhopper" "graticule" "grwat" #> [58] "gstat" "gtfsrouter" "ipumsr" #> [61] "isoband" "janitor" "jsonlite" #> [64] "kdtools" "leaflet" "leaflet.extras2" #> [67] "leri" "lutz" "mapsFinland" #> [70] "mdsr" "metamer" "mlr" #> [73] "mlr3spatiotempcv" "mudata2" "nlaR" #> [76] "o2geosocial" "oce" "od" #> [79] "onemapsgapi" "opencage" "osmdata" #> [82] "palmid" "pinochet" "plainview" #> [85] "plotly" "plumber" "PointedSDMs" #> [88] "polyCub" "polylabelr" "protolite" #> [91] "raster" "rasterVis" "rayrender" #> [94] "rayshader" "rcartocolor" "rdhs" #> [97] "readwritesqlite" "recogito" "regional" #> [100] "regweight" "reproducible" "rgbif" #> [103] "rgee" "RGENERATEPREC" "rGhanaCensus" #> [106] "rgrass" "rgrass7" "rinat" #> [109] "rmangal" "RtD3" "sbtools" #> [112] "sdcSpatial" "sdmApp" "sociome" #> [115] "soilDB" "sp" "spacetime" #> [118] "SpaceTimeBSS" "SpaDES.tools" "SpatialBSS" #> [121] "spbabel" "spData" "spflow" #> [124] "spotoroo" "spsur" "swmmr" #> [127] "terra" "tgver" "tricolore" #> [130] "ukpolice" "unifir" "ursa" #> [133] "USAboundaries" "waterquality" "wk" package_network |> importing("sf", exact = TRUE) #> [1] "abmR" "abstr" "adw" #> [4] "amt" "aopdata" "areal" #> [7] "ARPALData" "ascotraceR" "aurin" #> [10] "BARIS" "basemaps" "bayesmove" #> [13] "bbsBayes" "bcdata" "bcputility" #> [16] "bdc" "bdl" "BIEN" #> [19] "bigDM" "blockCV" "bluebike" #> [22] "bnspatial" "briskaR" "btb" #> [25] "buffeRs" "camtrapR" "capm" #> [28] "CARBayes" "CARBayesdata" "CARBayesST" #> [31] "card" "cartograflow" "cartogram" #> [34] "cartogramR" "cartography" "CatastRo" #> [37] "cdcfluview" "cdrcR" "censable" #> [40] "chirps" "clhs" "ClimMobTools" #> [43] "comorosmaps" "concaveman" "conleyreg" #> [46] "ConR" "CopernicusDEM" "covid19br" #> [49] "covid19sf" "covidcast" "crawl" #> [52] "crimedata" "CropScapeR" "crsuggest" #> [55] "cshapes" "cubble" "cyclestreets" #> [58] "datazoom.amazonia" "daymetr" "Directional" #> [61] "distanceto" "divseg" "dots" #> [64] "dsims" "dssd" "dwp" #> [67] "ebirdst" "edbuildmapr" "eks" #> [70] "elevatr" "EmissV" "envirem" #> [73] "epiR" "epm" "eSDM" #> [76] "exactextractr" "extRatum" "FedData" #> [79] "fgdr" "FIESTA" "FIESTAutils" #> [82] "fisheye" "fitbitViz" "flexpolyline" #> [85] "flightplot" "foieGras" "forestecology" #> [88] "FORTLS" "fsr" "galah" #> [91] "GapAnalysis" "gbm.auto" "gdalUtilities" #> [94] "GeNetIt" "geobr" "geodimension" #> [97] "geodiv" "geodrawr" "geofacet" #> [100] "geofi" "geogrid" "geojsonio" #> [103] "geoknife" "geomander" "geomaroc" #> [106] "geometr" "geonetwork" "geostan" #> [109] "geouy" "geoviz" "ggOceanMaps" #> [112] "ggseg" "ggsn" "ggspatial" #> [115] "ggVennDiagram" "giscoR" "glottospace" #> [118] "grainchanger" "graph4lg" "GREENeR" #> [121] "gridpattern" "gtfs2gps" "gtfstools" #> [124] "gwavr" "GWnnegPCA" "GWpcor" #> [127] "gwpcormapper" "GWSDAT" "h3jsr" #> [130] "happign" "HDSpatialScan" "helsinki" #> [133] "hereR" "himach" "hwsdr" #> [136] "hypsoLoop" "IceSat2R" "idbr" #> [139] "imcRtools" "IRexamples" "itsdm" #> [142] "japanmesh" "jpgrid" "jpmesh" #> [145] "klexdatr" "kokudosuuchi" "LAGOSNE" #> [148] "landsepi" "latticeDensity" "layer" #> [151] "lazysf" "lconnect" "leafem" #> [154] "leafgl" "leafpm" "leafpop" #> [157] "lidaRtRee" "lidR" "linemap" #> [160] "link2GI" "LMoFit" "lwgeom" #> [163] "macleish" "MainExistingDatasets" "mapboxapi" #> [166] "mapchina" "mapedit" "mapi" #> [169] "mapiso" "mapme.biodiversity" "mapping" #> [172] "mapsapi" "mapscanner" "mapsf" #> [175] "mapSpain" "maptiles" "mapview" #> [178] "MazamaSpatialPlots" "meteoland" "meteospain" #> [181] "mgwrsar" "micromapST" "mlr3spatial" #> [184] "MODISTools" "MODIStsp" "motif" #> [187] "moveVis" "mregions" "MTA" #> [190] "naturaList" "ncdfgeom" "ndi" #> [193] "NetLogoR" "netmap" "nhdplusTools" #> [196] "nhdR" "NipponMap" "njgeo" #> [199] "nlrx" "nominatimlite" "oceanic" #> [202] "oceanis" "opendatatoronto" "openeo" #> [205] "opentripplanner" "Orcs" "osmextract" #> [208] "osrm" "otpr" "owidR" #> [211] "ows4R" "ozmaps" "paleopop" #> [214] "parlitools" "pct" "pgirmess" #> [217] "PL94171" "PlanetNICFI" "plotdap" #> [220] "plotKML" "populR" "potential" #> [223] "pRecipe" "prisonbrief" "pspatreg" #> [226] "PWFSLSmoke" "qualmap" "quickmapr" #> [229] "r5r" "raceland" "rangemap" #> [232] "rangeMapper" "rasterbc" "rasterDT" #> [235] "rasterpic" "raytracing" "rbenvo" #> [238] "rcage" "redist" "redistmetrics" #> [241] "Relectoral" "remap" "rerddapXtracto" #> [244] "rFIA" "rfishnet2" "RFmerge" #> [247] "rgeoda" "rgeopat2" "rgugik" #> [250] "rmapshaper" "rmapzen" "rnaturalearth" #> [253] "rnrfa" "roads" "robis" #> [256] "RPyGeo" "Rsagacmd" "RStoolbox" #> [259] "rts2" "rtsVis" "RWmisc" #> [262] "sabre" "safedata" "sandwichr" #> [265] "SDLfilter" "secr" "seedreg" #> [268] "segmetric" "sen2r" "sfarrow" #> [271] "sfdct" "sfdep" "sfhotspot" #> [274] "sfnetworks" "sftrack" "sgsR" #> [277] "simodels" "simplevis" "sits" #> [280] "slendr" "smartmap" "smile" #> [283] "SMITIDstruct" "smoothr" "spacejamr" #> [286] "spatgeom" "spatialEco" "SpatialKDE" #> [289] "SpatialPosition" "spatialrisk" "spatialsample" #> [292] "spectator" "spectralR" "sphet" #> [295] "spmodel" "spnaf" "spNetwork" #> [298] "spqdep" "SRTsim" "starsTileServer" #> [301] "stats19" "stplanr" "stppSim" #> [304] "sugarbag" "SUNGEO" "supercells" #> [307] "swfscDAS" "swfscMisc" "SWMPrExtension" #> [310] "SWTools" "synoptReg" "tanaka" #> [313] "telemac" "terrainr" "tidycensus" #> [316] "tidygeoRSS" "tidyterra" "tidytransit" #> [319] "tidyUSDA" "tigris" "tilemaps" #> [322] "tinytiger" "tmap" "tmaptools" #> [325] "tongfen" "track2KBA" "trackeRapp" #> [328] "transformr" "treePlotArea" "treetop" #> [331] "trigpoints" "uavRmp" "upstartr" #> [334] "valhallr" "valuemap" "VancouvR" #> [337] "VARMER" "vein" "velociraptr" #> [340] "VicmapR" "vietnameseConverter" "waywiser" #> [343] "weed" "WEGE" "wildlifeDI" #> [346] "zonebuilder" package_network |> enhancing("sf", exact = TRUE) #> [1] "landscapemetrics"
Packages that depend on the sf package
package_network |> depending_on("sf", exact = TRUE) #> [1] "APAtree" "arcpullr" "basf" "bcmaps" "canadamaps" #> [6] "CCAMLRGIS" "chilemapas" "ecochange" "GADMTools" "habCluster" #> [11] "micromap" "nngeo" "prioritizr" "RCzechia" "RGISTools" #> [16] "rLFT" "sftime" "siland" "spatialreg" "spdep" #> [21] "spsurvey" "sspm" "stars" "starsExtra" "stcos" #> [26] "tilegramsR" "transfR" "wdnr.gis" "wdpar" "windAC"
Packages that are dependencies of the sf package
package_network |> dependency_of("sf", exact = TRUE) #> [1] "methods"
Packages maintained by everyone with "Helen" in their name
package_network |> maintained_by("Helen") #> [1] "bild" "cold" "GENLIB" "microPop" "villager"
All available info, on packages maintained by everyone with "Helen" in their name
package_network |> maintained_by("Helen", flat = FALSE) |> dim() #> [1] 5 67
The maintainer of data.table
package_network |> maintainer_of("data.table", exact = TRUE) #> [1] "Matt Dowle"
The email of the maintainer of trackeRapp
trackeRapp_maintainer <- package_network |> maintainer_of("trackeRapp", exact = TRUE) package_network |> email_of(trackeRapp_maintainer, exact = TRUE) #> [1] "ioannis.kosmidis@warwick.ac.uk"
All emails of maintainers using an email address from University of Warwick
package_network |> email_with("warwick.ac.uk") #> [1] "nick.parsons@warwick.ac.uk" "ioannis.kosmidis@warwick.ac.uk" #> [3] "haotian.xu@warwick.ac.uk" "s.tavakoli@warwick.ac.uk" #> [5] "d.selby@warwick.ac.uk" "s.stein@warwick.ac.uk" #> [7] "Nicole.Schwitter.1@warwick.ac.uk" "tom.berrett@warwick.ac.uk" #> [9] "a.dickerson@warwick.ac.uk" "d.firth@warwick.ac.uk" #> [11] "michelle.kendall@warwick.ac.uk"
The title, the description, the version and the license of the semnar package
package_network |> title_of("semnar", exact = TRUE) #> character(0) package_network |> description_of("semnar", exact = TRUE) #> character(0) package_network |> version_of("semnar", exact = TRUE) #> character(0)
Distribution of the release dates of all packages in CRAN
package_network |> release_date_of(Inf) |> hist(breaks = 50, main = "", xlab = "date", freq = TRUE)
Word clouds
Since version 0.5 cranly provides methods to construct word clouds of either author names, package descriptions or package titles. For example, the word cloud of the descriptions of the packages maintained by me and Edzer Pebesma are
word_cloud(package_network, maintainer = "Ioannis Kosmidis", exact = TRUE, min.freq = 1)
word_cloud(package_network, maintainer = "Edzer Pebesma", exact = TRUE, min.freq = 1)
or the word cloud of the titles of those packages are
word_cloud(package_network, maintainer = "Ioannis Kosmidis", perspective = "title", exact = TRUE, scale = c(2, 0.1), min.freq = 1)
word_cloud(package_network, maintainer = "Edzer Pebesma", perspective = "title", exact = TRUE, scale = c(2, 0.1), min.freq = 1)
More complex queries can be achieved by using the extractor functions and computing the term frequencies manually. For example, the word cloud of all packages maintained by people with "warwick.ac.uk" in their email is
warwick_emails <- package_network |> email_with("warwick.ac.uk", flat = FALSE) warwick_pkgs <- warwick_emails$package descriptions <- package_network |> description_of(warwick_pkgs, exact = FALSE) term_frequency <- compute_term_frequency(descriptions) word_cloud(term_frequency, min.freq = 5)
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