I am trying to figure out how to label the points in a graph such that the label appears only when hovering over the point but not otherwise.

Consider the following reproducible example:

library(ggfortify)
library(ggplot2)
library(autoplotly)
d <- iris
d$indexLabel <- 1:nrow(d)
pca_res <- prcomp(d[, 1:4], scale = TRUE)
g<-autoplot(pca_res,
  data = iris, colour = "Species"
)
autoplotly(g)

I would like the indexLabel variable to appear ONLY when hovering over each dot. How do I do that? I have tried several things unsuccessfully. I am trying to do it with autoplotly but if there are other ways please let me know.

I am trying to figure out how to label the points in a graph such that the label appears only when hovering over the point but not otherwise.

Consider the following reproducible example:

library(ggfortify)
library(ggplot2)
library(autoplotly)
d <- iris
d$indexLabel <- 1:nrow(d)
pca_res <- prcomp(d[, 1:4], scale = TRUE)
g<-autoplot(pca_res,
  data = iris, colour = "Species"
)
autoplotly(g)

I would like the indexLabel variable to appear ONLY when hovering over each dot. How do I do that? I have tried several things unsuccessfully. I am trying to do it with autoplotly but if there are other ways please let me know.

• r
• ggplot2
• plotly
• autoplot

Share Improve this question Follow edited Nov 19, 2024 at 0:26 ramiro asked Nov 18, 2024 at 15:36 ramiroramiro 10399 bronze badges

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1 Answer 1

Sorted by: Reset to default 1

I would construct the plot myself, as you have much finer control of what is plotted where. To get you started, I reconstructed the autoplot with just a couple of lines (colors and background could be changed as well if needed) and added the indexLabel as additional info to the hoverbox.

You have fulkl control of what you want to place in the hoverbox via the hovertemplate argument which you can freely adapt your needs.

## first fortify your data to have data and results conveniently in one data.frame
full_data <- fortify(pca_res, d) 
## calculate percentages for the PCs
perc <- pca_res$sdev ^ 2 / sum(pca_res$sdev ^ 2)

## create plot from scratch
plot_ly(full_data) %>% 
  add_markers(
    x = ~ PC1,
    y = ~ PC2,
    color = ~ Species,
    customdata = ~ Species,
    text = ~ indexLabel,
    hovertemplate = "PC1: %{x:.3r}<br>PC2: %{y:.3r}<br>Index:%{text}<br>Species: %{customdata}"
  ) %>% 
  layout(
    xaxis = list(zeroline = FALSE, 
                 title = paste0("PC1 (", round(perc[1] * 100, 2L),"%)")),
    yaxis = list(zeroline = FALSE, 
                 title = paste0("PC2 (", round(perc[2] * 100, 2L),"%)"))
    )

This produces the following plot (tooltip is shown only on hover but included in this screenshot to show the info):