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  1. Ordination graphs with vegan, BiodiversityR and ggplot2 por Kindt, R.

    Publicado 2020
    “…The main objective of this document is to give some examples of how data from ordination, such non metric multidimensional scaling or redundancy analysis that were obtained via vegan and BiodiversityR, can be plotted via ggplot2. The key intermediate steps to allow plotting with ggplot2 is to get data in the ‘long’ (tidy) format that is used in ggplot2, which can be achieved with some functions in BiodiversityR that should work with most ordination results.…”
    Enlace del recurso
    Source Code
  2. Species Accumulation Curves with vegan, BiodiversityR and ggplot2 por Kindt, R.

    Publicado 2020
    “…This obviously requires some working knowledge of the ggplot2 package, for which I will not give details here on specific functions, arguments and choices that I selected (as an introduction to ggplot2, I would especially recommend a two-part online workshop given by Thomas Lin Pedersen).…”
    Enlace del recurso
    Source Code
  3. Renyi Diversity Profiles with vegan, BiodiversityR and ggplot2 por Kindt, R.

    Publicado 2020
    “…This obviously requires some working knowledge of the ggplot2 package, for which I will not give details here on specific functions, arguments and choices that I selected (as an introduction to ggplot2, I would especially recommend a two-part online workshop given by Thomas Lin Pedersen).…”
    Enlace del recurso
    Source Code
  4. Adding dendrograms to ordination graphs with pvclust, vegan, BiodiversityR and ggplot2 por Kindt, R.

    Publicado 2020
    “…The main objective of this document is to show a pathway of how dendrograms for results that were obtained via pvclust can be added to ordination graphs in ggplot2. This documents builds on previous document where I showed how to generate ordination graphs with vegan, BiodiversityR and ggplot2 and how to create dendrograms for pvclust results with ggraph.…”
    Enlace del recurso
    Source Code
  5. AlleleShift: an R package to predict and visualize population-level changes in allele frequencies in response to climate change por Kindt, R.

    Publicado 2021
    “…These visualizations include ‘dot plot’ graphics (function shift.dot.ggplot), pie diagrams (shift.pie.ggplot), moon diagrams (shift.moon.ggplot), ‘waffle’ diagrams (shift.waffle.ggplot) and smoothed surface diagrams of allele frequencies of baseline or future patterns in geographical space (shift.surf.ggplot). …”
    Enlace del recurso
    Journal Article
  6. AlleleShift: An R package to predict and visualize population-level changes in allele frequencies in response to climate change por Kindt, R.

    Publicado 2021
    “…These include ‘dot plot’ graphics (function shift.dot.ggplot), pie diagrams (shift.pie.ggplot), moon diagrams (shift.moon.ggplot), ‘waffle’ diagrams (shift.waffle.ggplot) and smoothed surface diagrams of allele frequencies of baseline or future patterns in geographical space (shift.surf.ggplot). …”
    Enlace del recurso
    Preprint
  7. Influence of agroclimatic factors on the efficiency of multi-ovulation in cattle in the Peruvian tropics por Segura Portocarrero, Gleni Tatiana, Murga Valderrama, Nilton Luis, Lopez Lapa, Rainer Marco, Saucedo Uriarte, José Américo, Gongora Bardales, Deiner Jhonel, Frias Torres, Hugo, Poclín Rojas, Annie Yoselin, Depaz Hizo, Benjamin, Vasquez Tarrillo, Ronald Will, Heredia Vilchez, Lizeth Amparo, Ampuero Trigoso, Gustavo

    Publicado 2025
    “…Data visualization was achieved using R Studio libraries, including ggplot2, factoextra, and FactoMineR. Results: The analyses highlight the influence of the interaction between humidity and temperature, resulting in THI on bovine stress, revealing complex interactions that primarily affect embryo production. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  8. Uso de jarabes a base de frutas tropicales sobre la aceptación y actividad de pecoreo de abejas melíferas (Apis mellifera spp.), Finca Santa Rosa, Managua 2024 por Ruíz Solorzano, Rosa Lidia, Ruíz Rivas, Jayson Jassiel

    Publicado 2025
    “…El análisis estadístico se realizó con el programa de software R, además se utilizaron los paquetes dplyr para la manipulación de datos, agricolae para la prueba de Tukey con la función HSD.test(), ggplot2 para la visualización de los resultados con gráficos, y multcompView para facilitar la representación de las letras de separación de medias. …”
    Enlace del recurso
    Enlace del recurso
    Tesis

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