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library(plotly) library(htmlwidgets) set.seed(1056) nPatients <- 50 nVisits <- 10 df <- data.frame( fev1_perc = rnorm(n = nPatients * nVisits, mean = 100, sd = 10), uin = rep(seq(nPatients), each = nVisits), visit = rep(seq(nVisits), nPatients) ) c1 <- list(color = toRGB("steelblue", 0.5)) c2 <- list(color = toRGB("orange", 0.5)) # The color mapping is used only to generate multiple traces # (which makes it easier to highlight lines on the JS side) df %>% plot_ly( x = ~visit, y = ~fev1_perc, split = ~factor(uin), marker = c1, line = c2 ) %>% layout(hovermode = "closest", showlegend = FALSE) %>% onRender(' function(el, x) { var graphDiv = document.getElementById(el.id); // reduce the opacity of every trace except for the hover one el.on("plotly_hover", function(e) { var traces = []; for (var i = 0; i < x.data.length; i++) { if (i !== e.points[0].curveNumber) traces.push(i); } Plotly.restyle(graphDiv, "opacity", 0.2, traces); }) el.on("plotly_unhover", function(e) { var traces = []; for (var i = 0; i < x.data.length; i++) traces.push(i); Plotly.restyle(graphDiv, "opacity", 1, traces); }) } ')
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