diff --git a/.nojekyll b/.nojekyll index 898003a..68e0a30 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -f68270a3 \ No newline at end of file +bb3278a5 \ No newline at end of file diff --git a/gif/tmp-61.gif b/gif/tmp-61.gif deleted file mode 100644 index e1c1bd5..0000000 Binary files a/gif/tmp-61.gif and /dev/null differ diff --git a/gif/tmp-62.gif b/gif/tmp-62.gif new file mode 100644 index 0000000..efce3f4 Binary files /dev/null and b/gif/tmp-62.gif differ diff --git a/gif/tmp-64.gif b/gif/tmp-64.gif new file mode 100644 index 0000000..d2b01df Binary files /dev/null and b/gif/tmp-64.gif differ diff --git a/gif/tmp-66.gif b/gif/tmp-66.gif new file mode 100644 index 0000000..190e7a5 Binary files /dev/null and b/gif/tmp-66.gif differ diff --git a/gif/tmp-68.gif b/gif/tmp-68.gif new file mode 100644 index 0000000..7aacb99 Binary files /dev/null and b/gif/tmp-68.gif differ diff --git a/gif/tmp-69.gif b/gif/tmp-69.gif deleted file mode 100644 index a015496..0000000 Binary files a/gif/tmp-69.gif and /dev/null differ diff --git a/gif/tmp-71.gif b/gif/tmp-71.gif deleted file mode 100644 index deca4b6..0000000 Binary files a/gif/tmp-71.gif and /dev/null differ diff --git a/gif/tmp-80.gif b/gif/tmp-80.gif deleted file mode 100644 index 86efee7..0000000 Binary files a/gif/tmp-80.gif and /dev/null differ diff --git a/gif/tmp-81.gif b/gif/tmp-81.gif new file mode 100644 index 0000000..37fe3db Binary files /dev/null and b/gif/tmp-81.gif differ diff --git a/gif/tmp-87.gif b/gif/tmp-87.gif new file mode 100644 index 0000000..8ec1a9d Binary files /dev/null and b/gif/tmp-87.gif differ diff --git a/gif/tmp-90.gif b/gif/tmp-90.gif deleted file mode 100644 index 30cc70a..0000000 Binary files a/gif/tmp-90.gif and /dev/null differ diff --git a/plot_trait_evolution.html b/plot_trait_evolution.html index 403842f..a882170 100644 --- a/plot_trait_evolution.html +++ b/plot_trait_evolution.html @@ -238,30 +238,31 @@

On this page

  • Plot trait evolution timeseries
  • Skulls! find the skull associated with your species:
  • @@ -327,25 +328,28 @@

    +
    also installing the dependencies 'miniUI', 'shinyjs'
    +

    Plot trait evolution timeseries

    Use the data generated to plot all species.

    -
    # Specify the order of species based on the order of colors in cols to stop a mismatch in colours
    -dt$species <- factor(dt$species, levels = unique(dt$species))
    -
    -# Create the ggplot object
    -p <- ggplot(data = dt, aes(x = t, y = trait, group = species, colour = species)) + 
    -  geom_line() + 
    -  scale_colour_manual(values = cols) 
    -
    -# Plot the results
    -ggplotly(p)
    +
    # Specify the order of species based on the order of colors in cols to stop a mismatch in colours
    +dt$species <- factor(dt$species, levels = unique(dt$species))
    +
    +# Create the ggplot object
    +p <- ggplot(data = dt, aes(x = t, y = trait, group = species, colour = species)) + 
    +  geom_line() + 
    +  scale_colour_manual(values = cols) 
    +
    +# Plot the results
    +ggplotly(p)
    -
    - +
    +


    @@ -355,37 +359,37 @@

    Plot trait

    Skulls! find the skull associated with your species:


    Skulls are organised from largest to smallest. The largest skulls are vulture-like, (e.g. no. 50, the Andean condor Vultur gryphus) and the smallest are falconet-like, (e.g. no. 1 Collared falconet Microhierax caerulescens)

    -
    -

    No: 50 marlens_krystallinus

    +
    +

    No: 50 malika_rocks

    -
    -

    No: 40 janika_rocks

    -

    -
    -
    -

    No: 40 simfish

    -

    +
    +

    No: 38 lux_fermonta

    +

    -
    -

    No: 38 alia_rocks

    +
    +

    No: 38 sarah_rocks

    -
    -

    No: 32 annas_special_species

    +
    +

    No: 37 alia_rocks

    +

    +
    +
    +

    No: 32 hello_world

    -
    -

    No: 32 micolus cyganosus

    +
    +

    No: 32 annas_special_species

    -
    -

    No: 30 sanas_rocks

    -

    +
    +

    No: 31 simfish

    +

    -
    -

    No: 30 vanessas_lupinus

    -

    +
    +

    No: 31 ananas_sp

    +

    No: 27 anas_krystallinus

    @@ -407,48 +411,52 @@

    No: 26

    No: 25 joanna_blahblub

    -
    -

    No: 24 moritz_krystallinus

    +
    +

    No: 24 micolus cyganosus

    No: 22 my_bird12

    +
    +

    No: 22 sanas_rocks

    +

    +

    No: 22 ananas

    -
    -

    No: 21 sarah_rocks

    -

    -

    No: 20 darwin_finch

    -
    -

    No: 19 lena_rocks

    -

    +
    +

    No: 18 cheng_li

    +

    -
    -

    No: 17 cheng_li

    +
    +

    No: 17 janika_rocks

    -
    -

    No: 17 lux_fermonta

    -

    +
    +

    No: 16 moritz_krystallinus

    +

    +
    +
    +

    No: 14 lena_rocks

    +

    -
    -

    No: 11 ananas_sp

    -

    +
    +

    No: 12 vanessas_lupinus

    +

    -
    -

    No: 10 hello_world

    +
    +

    No: 10 malika_rocked

    -
    -

    No: 9 malika_rocks

    +
    +

    No: 9 marlens_krystallinus

    @@ -458,7 +466,7 @@

    No: 6 <

    Session Info

    -
    sessioninfo::session_info()
    +
    sessioninfo::session_info()
    ─ Session info ───────────────────────────────────────────────────────────────
      setting  value
    @@ -470,7 +478,7 @@ 

    Session Info

    collate C.UTF-8 ctype C.UTF-8 tz UTC - date 2024-10-24 + date 2024-11-05 pandoc 2.9.2.1 @ /usr/bin/ (via rmarkdown) ─ Packages ─────────────────────────────────────────────────────────────────── @@ -487,7 +495,7 @@

    Session Info

    generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0) ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0) glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.0) - gtable 0.3.5 2024-04-22 [1] CRAN (R 4.4.0) + gtable 0.3.6 2024-10-25 [1] CRAN (R 4.4.0) htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0) htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0) httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0) @@ -504,7 +512,7 @@

    Session Info

    purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0) R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0) rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0) - rmarkdown 2.28 2024-08-17 [1] CRAN (R 4.4.0) + rmarkdown 2.29 2024-11-04 [1] CRAN (R 4.4.0) scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0) sessioninfo 1.2.2 2021-12-06 [1] any (@1.2.2) tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0) @@ -513,8 +521,8 @@

    Session Info

    utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0) vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0) viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0) - withr 3.0.1 2024-07-31 [1] CRAN (R 4.4.0) - xfun 0.48 2024-10-03 [1] CRAN (R 4.4.0) + withr 3.0.2 2024-10-28 [1] CRAN (R 4.4.0) + xfun 0.49 2024-10-31 [1] CRAN (R 4.4.0) yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0) [1] /home/runner/work/_temp/Library diff --git a/search.json b/search.json index 55ded38..d8b1c7d 100644 --- a/search.json +++ b/search.json @@ -60,14 +60,14 @@ "href": "plot_trait_evolution.html", "title": "Evolutionary lottery of skull and beak morphology", "section": "", - "text": "Beak and skull shapes in birds of prey (“raptors”) are strongly coupled and largely controlled by size.\n\ngif provided by the awesome Jen Bright @MorphobeakGeek!\n\nIn this exercise we will use a github repo to collaboratively collate and simulate evolutionary trajectories for each participants’ species body size using a simple brownian motion evolutionary model. This assumes evolutionary steps to progress comletely at random. You could say:\n\n\n\nEach participant has created and contributed a file specifying the parameters required to simulate and plot their species evolutionary trajectory. We’ve collect all participants’ files in the master repo. Next we need to simulate species trajectories plot them up.\nParticipants will then get to see the skull and beak shape corresponding to their species relative body size!\n\n\n\n\nFirst we load the required packages and create some objects to compile data on trait evolution for each species.\n\nlibrary(dplyr)\nlibrary(ggplot2) #3.5.1\nlibrary(plotly) #4.10.4\nset.seed(1)\n\nt <- 0:100 # generate time vector\ndt <- NULL # generate object to compile time-series data\ncols <- NULL # generate object to compile trendline colours\n\n\n\n\n\nWe’ll use the parameters supplied in your scripts to generate brownian trait evolution trendline for each species.\n\n#getting the file names for everything except the template that has undefined values\nspp.files <- dir(\"params/\")[dir(\"params/\") != \"params_tmpl.R\"]\n\nfor(spp in spp.files){\n # source parameters for each species\n source(file.path(\"params\", spp))\n \n # generate trait evolution time-series and compile plotting data\n dt <- rbind(dt, data.frame(t, \n trait = c(0, rnorm(n = length(t) - 1, sd = sqrt(sig2)) |> cumsum()),\n species = species.name))\n cols <- c(cols, color)\n}\n\nInstalling package into '/home/runner/work/_temp/Library'\n(as 'lib' is unspecified)\n\n\n\n\n\nUse the data generated to plot all species.\n\n# Specify the order of species based on the order of colors in cols to stop a mismatch in colours\ndt$species <- factor(dt$species, levels = unique(dt$species))\n\n# Create the ggplot object\np <- ggplot(data = dt, aes(x = t, y = trait, group = species, colour = species)) + \n geom_line() + \n scale_colour_manual(values = cols) \n\n# Plot the results\nggplotly(p)\n\n\n\n\n\n\n\n\n\n\n\nSkulls are organised from largest to smallest. The largest skulls are vulture-like, (e.g. no. 50, the Andean condor Vultur gryphus) and the smallest are falconet-like, (e.g. no. 1 Collared falconet Microhierax caerulescens)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsessioninfo::session_info()\n\n─ Session info ───────────────────────────────────────────────────────────────\n setting value\n version R version 4.4.0 (2024-04-24)\n os Ubuntu 22.04.5 LTS\n system x86_64, linux-gnu\n ui X11\n language (EN)\n collate C.UTF-8\n ctype C.UTF-8\n tz UTC\n date 2024-10-24\n pandoc 2.9.2.1 @ /usr/bin/ (via rmarkdown)\n\n─ Packages ───────────────────────────────────────────────────────────────────\n package * version date (UTC) lib source\n cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)\n colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)\n crosstalk 1.2.1 2023-11-23 [1] CRAN (R 4.4.0)\n data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.0)\n digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.0)\n dplyr * 1.1.4 2023-11-17 [1] any (@1.1.4)\n evaluate 1.0.1 2024-10-10 [1] CRAN (R 4.4.0)\n fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)\n fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)\n generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)\n ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0)\n glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.0)\n gtable 0.3.5 2024-04-22 [1] CRAN (R 4.4.0)\n htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)\n htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)\n httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)\n jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.0)\n knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)\n labeling 0.4.3 2023-08-29 [1] CRAN (R 4.4.0)\n lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)\n lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)\n magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)\n munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)\n pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)\n pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)\n plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)\n purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)\n R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)\n rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)\n rmarkdown 2.28 2024-08-17 [1] CRAN (R 4.4.0)\n scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)\n sessioninfo 1.2.2 2021-12-06 [1] any (@1.2.2)\n tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)\n tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)\n tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)\n utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)\n vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)\n viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)\n withr 3.0.1 2024-07-31 [1] CRAN (R 4.4.0)\n xfun 0.48 2024-10-03 [1] CRAN (R 4.4.0)\n yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)\n\n [1] /home/runner/work/_temp/Library\n [2] /opt/R/4.4.0/lib/R/site-library\n [3] /opt/R/4.4.0/lib/R/library\n\n──────────────────────────────────────────────────────────────────────────────" + "text": "Beak and skull shapes in birds of prey (“raptors”) are strongly coupled and largely controlled by size.\n\ngif provided by the awesome Jen Bright @MorphobeakGeek!\n\nIn this exercise we will use a github repo to collaboratively collate and simulate evolutionary trajectories for each participants’ species body size using a simple brownian motion evolutionary model. This assumes evolutionary steps to progress comletely at random. You could say:\n\n\n\nEach participant has created and contributed a file specifying the parameters required to simulate and plot their species evolutionary trajectory. We’ve collect all participants’ files in the master repo. Next we need to simulate species trajectories plot them up.\nParticipants will then get to see the skull and beak shape corresponding to their species relative body size!\n\n\n\n\nFirst we load the required packages and create some objects to compile data on trait evolution for each species.\n\nlibrary(dplyr)\nlibrary(ggplot2) #3.5.1\nlibrary(plotly) #4.10.4\nset.seed(1)\n\nt <- 0:100 # generate time vector\ndt <- NULL # generate object to compile time-series data\ncols <- NULL # generate object to compile trendline colours\n\n\n\n\n\nWe’ll use the parameters supplied in your scripts to generate brownian trait evolution trendline for each species.\n\n#getting the file names for everything except the template that has undefined values\nspp.files <- dir(\"params/\")[dir(\"params/\") != \"params_tmpl.R\"]\n\nfor(spp in spp.files){\n # source parameters for each species\n source(file.path(\"params\", spp))\n \n # generate trait evolution time-series and compile plotting data\n dt <- rbind(dt, data.frame(t, \n trait = c(0, rnorm(n = length(t) - 1, sd = sqrt(sig2)) |> cumsum()),\n species = species.name))\n cols <- c(cols, color)\n}\n\nInstalling package into '/home/runner/work/_temp/Library'\n(as 'lib' is unspecified)\n\n\nalso installing the dependencies 'miniUI', 'shinyjs'\n\n\n\n\n\nUse the data generated to plot all species.\n\n# Specify the order of species based on the order of colors in cols to stop a mismatch in colours\ndt$species <- factor(dt$species, levels = unique(dt$species))\n\n# Create the ggplot object\np <- ggplot(data = dt, aes(x = t, y = trait, group = species, colour = species)) + \n geom_line() + \n scale_colour_manual(values = cols) \n\n# Plot the results\nggplotly(p)\n\n\n\n\n\n\n\n\n\n\n\nSkulls are organised from largest to smallest. The largest skulls are vulture-like, (e.g. no. 50, the Andean condor Vultur gryphus) and the smallest are falconet-like, (e.g. no. 1 Collared falconet Microhierax caerulescens)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsessioninfo::session_info()\n\n─ Session info ───────────────────────────────────────────────────────────────\n setting value\n version R version 4.4.0 (2024-04-24)\n os Ubuntu 22.04.5 LTS\n system x86_64, linux-gnu\n ui X11\n language (EN)\n collate C.UTF-8\n ctype C.UTF-8\n tz UTC\n date 2024-11-05\n pandoc 2.9.2.1 @ /usr/bin/ (via rmarkdown)\n\n─ Packages ───────────────────────────────────────────────────────────────────\n package * version date (UTC) lib source\n cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)\n colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)\n crosstalk 1.2.1 2023-11-23 [1] CRAN (R 4.4.0)\n data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.0)\n digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.0)\n dplyr * 1.1.4 2023-11-17 [1] any (@1.1.4)\n evaluate 1.0.1 2024-10-10 [1] CRAN (R 4.4.0)\n fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)\n fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)\n generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)\n ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0)\n glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.0)\n gtable 0.3.6 2024-10-25 [1] CRAN (R 4.4.0)\n htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)\n htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)\n httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)\n jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.0)\n knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)\n labeling 0.4.3 2023-08-29 [1] CRAN (R 4.4.0)\n lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)\n lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)\n magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)\n munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)\n pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)\n pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)\n plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)\n purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)\n R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)\n rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)\n rmarkdown 2.29 2024-11-04 [1] CRAN (R 4.4.0)\n scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)\n sessioninfo 1.2.2 2021-12-06 [1] any (@1.2.2)\n tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)\n tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)\n tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)\n utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)\n vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)\n viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)\n withr 3.0.2 2024-10-28 [1] CRAN (R 4.4.0)\n xfun 0.49 2024-10-31 [1] CRAN (R 4.4.0)\n yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)\n\n [1] /home/runner/work/_temp/Library\n [2] /opt/R/4.4.0/lib/R/site-library\n [3] /opt/R/4.4.0/lib/R/library\n\n──────────────────────────────────────────────────────────────────────────────" }, { "objectID": "plot_trait_evolution.html#skulls-find-the-skull-associated-with-your-species", "href": "plot_trait_evolution.html#skulls-find-the-skull-associated-with-your-species", "title": "Evolutionary lottery of skull and beak morphology", "section": "", - "text": "Skulls are organised from largest to smallest. The largest skulls are vulture-like, (e.g. no. 50, the Andean condor Vultur gryphus) and the smallest are falconet-like, (e.g. no. 1 Collared falconet Microhierax caerulescens)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsessioninfo::session_info()\n\n─ Session info ───────────────────────────────────────────────────────────────\n setting value\n version R version 4.4.0 (2024-04-24)\n os Ubuntu 22.04.5 LTS\n system x86_64, linux-gnu\n ui X11\n language (EN)\n collate C.UTF-8\n ctype C.UTF-8\n tz UTC\n date 2024-10-24\n pandoc 2.9.2.1 @ /usr/bin/ (via rmarkdown)\n\n─ Packages ───────────────────────────────────────────────────────────────────\n package * version date (UTC) lib source\n cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)\n colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)\n crosstalk 1.2.1 2023-11-23 [1] CRAN (R 4.4.0)\n data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.0)\n digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.0)\n dplyr * 1.1.4 2023-11-17 [1] any (@1.1.4)\n evaluate 1.0.1 2024-10-10 [1] CRAN (R 4.4.0)\n fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)\n fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)\n generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)\n ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0)\n glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.0)\n gtable 0.3.5 2024-04-22 [1] CRAN (R 4.4.0)\n htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)\n htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)\n httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)\n jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.0)\n knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)\n labeling 0.4.3 2023-08-29 [1] CRAN (R 4.4.0)\n lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)\n lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)\n magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)\n munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)\n pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)\n pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)\n plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)\n purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)\n R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)\n rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)\n rmarkdown 2.28 2024-08-17 [1] CRAN (R 4.4.0)\n scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)\n sessioninfo 1.2.2 2021-12-06 [1] any (@1.2.2)\n tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)\n tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)\n tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)\n utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)\n vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)\n viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)\n withr 3.0.1 2024-07-31 [1] CRAN (R 4.4.0)\n xfun 0.48 2024-10-03 [1] CRAN (R 4.4.0)\n yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)\n\n [1] /home/runner/work/_temp/Library\n [2] /opt/R/4.4.0/lib/R/site-library\n [3] /opt/R/4.4.0/lib/R/library\n\n──────────────────────────────────────────────────────────────────────────────" + "text": "Skulls are organised from largest to smallest. The largest skulls are vulture-like, (e.g. no. 50, the Andean condor Vultur gryphus) and the smallest are falconet-like, (e.g. no. 1 Collared falconet Microhierax caerulescens)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nsessioninfo::session_info()\n\n─ Session info ───────────────────────────────────────────────────────────────\n setting value\n version R version 4.4.0 (2024-04-24)\n os Ubuntu 22.04.5 LTS\n system x86_64, linux-gnu\n ui X11\n language (EN)\n collate C.UTF-8\n ctype C.UTF-8\n tz UTC\n date 2024-11-05\n pandoc 2.9.2.1 @ /usr/bin/ (via rmarkdown)\n\n─ Packages ───────────────────────────────────────────────────────────────────\n package * version date (UTC) lib source\n cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)\n colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)\n crosstalk 1.2.1 2023-11-23 [1] CRAN (R 4.4.0)\n data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.0)\n digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.0)\n dplyr * 1.1.4 2023-11-17 [1] any (@1.1.4)\n evaluate 1.0.1 2024-10-10 [1] CRAN (R 4.4.0)\n fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)\n fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)\n generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)\n ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0)\n glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.0)\n gtable 0.3.6 2024-10-25 [1] CRAN (R 4.4.0)\n htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)\n htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)\n httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)\n jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.0)\n knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)\n labeling 0.4.3 2023-08-29 [1] CRAN (R 4.4.0)\n lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)\n lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)\n magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)\n munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)\n pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)\n pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)\n plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)\n purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)\n R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)\n rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)\n rmarkdown 2.29 2024-11-04 [1] CRAN (R 4.4.0)\n scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)\n sessioninfo 1.2.2 2021-12-06 [1] any (@1.2.2)\n tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)\n tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)\n tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)\n utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)\n vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)\n viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)\n withr 3.0.2 2024-10-28 [1] CRAN (R 4.4.0)\n xfun 0.49 2024-10-31 [1] CRAN (R 4.4.0)\n yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)\n\n [1] /home/runner/work/_temp/Library\n [2] /opt/R/4.4.0/lib/R/site-library\n [3] /opt/R/4.4.0/lib/R/library\n\n──────────────────────────────────────────────────────────────────────────────" }, { "objectID": "merge.html", diff --git a/sitemap.xml b/sitemap.xml index f044afb..7ea0dd0 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,38 +2,38 @@ https://lmu-osc.github.io/Collaborative-RStudio-GitHub/pull-request.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/index.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/plot_trait_evolution.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/merge.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/push.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/commit.html - 2024-10-24T18:53:41.794Z + 2024-11-05T12:59:37.518Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/clone.html - 2024-10-24T18:53:41.794Z + 2024-11-05T12:59:37.518Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/pull-upstream.html - 2024-10-24T18:53:41.806Z + 2024-11-05T12:59:37.530Z https://lmu-osc.github.io/Collaborative-RStudio-GitHub/fork.html - 2024-10-24T18:53:41.794Z + 2024-11-05T12:59:37.518Z