Introduction

The ggPedigreeInteractive() function extends the static pedigree plots generated by ggPedigree() into fully interactive Plotly widgets. This allows users to explore pedigree data in a more dynamic way, with features such as hover text, zooming, and panning. This vignette walks through: - Basic usage of ggPedigreeInteractive() - Customizing the interactive plot - Adding tooltips for additional information

# Load required packages
library(BGmisc) # ships the sample 'potter' pedigree
library(ggplot2) # used internally by ggPedigree*
library(viridis) # viridis for color palettes
library(plotly) # conversion layer for interactivity
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(ggpedigree) # the package itself

Example data

The package includes a small toy pedigree for the Harry Potter universe:

# Load the example data
data("potter")
# Display the first few rows of the dataset
head(potter)
#>   personID famID             name gen momID dadID spouseID sex
#> 1        1     1   Vernon Dursley   1   101   102        3   1
#> 2        2     1 Marjorie Dursley   1   101   102       NA   0
#> 3        3     1    Petunia Evans   1   103   104        1   0
#> 4        4     1       Lily Evans   1   103   104        5   0
#> 5        5     1     James Potter   1    NA    NA        4   1
#> 6        6     1   Dudley Dursley   2     3     1       NA   1

Basic Usage

A minimal call is just:

ggPedigreeInteractive(potter)

…but you will usually want to identify the core primary‑key columns in advance:

plt <- ggPedigreeInteractive(
  potter,
  famID    = "famID",
  personID = "personID",
  momID    = "momID",
  dadID    = "dadID"
) |> plotly::hide_legend()

plt

Customising labels and tool‑tips

ggPedigreeInteractive() accepts the same config list as ggPedigree(), plus the tooltip_cols argument for hover text. Below we enable node labels, nudge them upward a little, color by sex, and show both the personID and name fields in the hover:

plt <- ggPedigreeInteractive(
  potter,
  famID = "famID",
  personID = "personID",
  momID = "momID",
  dadID = "dadID",
  config = list(
    label_nudge_y   = -.25,
    include_labels  = TRUE,
    label_method    = "geom_text",
    sex_color       = TRUE
  ),
  tooltip_cols = c("personID", "name")
)

plt

Further customisation

Adding tooltips

Because the function returns a Plotly object, you can layer additional modifications on top:

plt2 <- plt %>%
  plotly::layout(
    title = "The Potter Family Tree (interactive)",
    hoverlabel = list(bgcolor = "white"),
    margin = list(l = 50, r = 50, t = 50, b = 50)
  ) %>%
  plotly::config(displayModeBar = TRUE)

plt2

You can also save the widget as standalone HTML:

htmlwidgets::saveWidget(
  plt,
  file = "potter_interactive.html",
  selfcontained = TRUE
)
# Note: The above code will save the widget in the current working directory.

Static Plot customisation

You can also create a static version of the plot using the return_static argument. This is useful for generating high-quality images for reports or publications. The static plot can be further customized using ggplot2 functions. It can also be plotted using plotly::ggplotly() to retain interactivity.

static <- ggPedigreeInteractive(
  potter,
  famID = "famID",
  personID = "personID",
  momID = "momID",
  dadID = "dadID",
  config = list(
    label_nudge_y = -.25,
    include_labels = TRUE,
    label_method = "geom_text",
    sex_color = TRUE,
    return_static = TRUE
  ),
  tooltip_cols = c("personID", "name")
)

The static plot can be further customized using ggplot2 functions.

static_plot <- static +
  ggplot2::labs(
    title = "The Potter Family Tree (static)",
    subtitle = "This is a static plot"
  ) +
  theme_bw(base_size = 12) +
  theme(
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    panel.background = element_blank(),
    axis.line        = element_line(colour = "black"),
    axis.text.x      = element_blank(),
    axis.text.y      = element_blank(),
    axis.ticks.x     = element_blank(),
    axis.ticks.y     = element_blank(),
    axis.title.x     = element_blank(),
    axis.title.y     = element_blank()
  ) + scale_color_viridis(
    discrete = TRUE,
    labels = c("Female", "Male", "Unknown")
  )
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.

static_plot

You can also convert the static plot back to an interactive plot using plotly::ggplotly():

plt2 <- plotly::ggplotly(static_plot,
  tooltip = "text",
  width   = NULL,
  height  = NULL
)

plt2

Interactive Pedigree Plotting with ggPedigreeInteractive()