r-plotly

问题 I am using the R programming language. I am interested in learning how to save several "html widgets" together. I have been able to manually create different types of html widgets: #widget 1 library(htmlwidgets) library(leaflet) library(RColorBrewer) # create map data map_data <- data.frame( "Lati" = c(43.6426, 43.6424, 43.6544, 43.6452, 43.6629), "Longi" = c(-79.3871, -79.3860, -79.3807, -79.3806, -79.3957), "Job" = c("Economist", "Economist", "Teacher", "Teacher", "Lawyer"), "First_Name" =

问题 I have overlayed two contour plots: library(plotly) cluster_count <- 5 volcan <- plot_ly(z = ~volcano, type = "contour", contours = list( coloring= "fill", showlines = F )) cluster_matrix <- volcano cluster_matrix[cluster_matrix < 100] <- 1 cluster_matrix[cluster_matrix <= 120 & cluster_matrix >= 100] <- 2 cluster_matrix[cluster_matrix < 140 & cluster_matrix >= 120] <- 3 cluster_matrix[cluster_matrix <= 160 & cluster_matrix >= 140] <- 4 cluster_matrix[cluster_matrix > 160] <- 5 cluster_name

问题 I have overlayed two contour plots: library(plotly) cluster_count <- 5 volcan <- plot_ly(z = ~volcano, type = "contour", contours = list( coloring= "fill", showlines = F )) cluster_matrix <- volcano cluster_matrix[cluster_matrix < 100] <- 1 cluster_matrix[cluster_matrix <= 120 & cluster_matrix >= 100] <- 2 cluster_matrix[cluster_matrix < 140 & cluster_matrix >= 120] <- 3 cluster_matrix[cluster_matrix <= 160 & cluster_matrix >= 140] <- 4 cluster_matrix[cluster_matrix > 160] <- 5 cluster_name

问题 I am trying to combine both stacked bar and grouped bar chart using plot_ly() . I came across a few questions but couldn't get the perfect solution for this scenario. I came across the solution using ggplot2 . But I need to implement using plot_ly This is the data frame I am trying to plot structure(list(QuarterYear = c("Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020",

问题 I have a client that wants to be able to "freehand" draw on a plotly (ggplot) graph in Rshiny. I said to use the lasso select button on plotly graphs, but they were not happy that if you click somewhere else on the graph it removes the first lasso. Using this post, I was able to workup a ggplot that I could draw on. I cannot however get it to work with plotly as I do not know the equivalent of the hover options in the ui below. I would love some input on how to do this with plotly, how to

问题 I have a client that wants to be able to "freehand" draw on a plotly (ggplot) graph in Rshiny. I said to use the lasso select button on plotly graphs, but they were not happy that if you click somewhere else on the graph it removes the first lasso. Using this post, I was able to workup a ggplot that I could draw on. I cannot however get it to work with plotly as I do not know the equivalent of the hover options in the ui below. I would love some input on how to do this with plotly, how to

问题 I have a data frame containing different time-series signals which I'm trying to plot in 3D, with the x-axis representing Time, the Y-axis representing a standardized value for all the lines, and the Z-axis showing each line. Here's an example of what I mean. I have a snippet of code I'm trying to configure now to output it properly but I'm not sure how to properly assign the y and z variables. The df contains 5 columns; Time + 4 different time-series signals. plot_ly( data = df, x = df$Time,

问题 I'm struggling to get my marker size to work as expected when I'm using it in an animated graph. Using a data set like below, I'd want the marker in column 1 to increase in size, then decrease; the marker in 2 to decrease in size, then increase; etc.: data <- data.frame(xaxis = rep(as.character(c(1:5)), each = 10), yaxis = rep(c(1:5,5:1), 5), size = c( c(1:5,5:1), c(5:1,1:5), c(1:10), c(10:1), rep(c(1,10), 5) ), frame = c(1:10) ) Frustratingly, when I run just one marker (i.e. data is data

问题 I'm struggling to get my marker size to work as expected when I'm using it in an animated graph. Using a data set like below, I'd want the marker in column 1 to increase in size, then decrease; the marker in 2 to decrease in size, then increase; etc.: data <- data.frame(xaxis = rep(as.character(c(1:5)), each = 10), yaxis = rep(c(1:5,5:1), 5), size = c( c(1:5,5:1), c(5:1,1:5), c(1:10), c(10:1), rep(c(1,10), 5) ), frame = c(1:10) ) Frustratingly, when I run just one marker (i.e. data is data

问题 Take the example for plot_ly function: library("plotly") z <- c( c(8.83,8.89,8.81,8.87,8.9,8.87), c(8.89,8.94,8.85,8.94,8.96,8.92), c(8.84,8.9,8.82,8.92,8.93,8.91), c(8.79,8.85,8.79,8.9,8.94,8.92), c(8.79,8.88,8.81,8.9,8.95,8.92), c(8.8,8.82,8.78,8.91,8.94,8.92), c(8.75,8.78,8.77,8.91,8.95,8.92), c(8.8,8.8,8.77,8.91,8.95,8.94), c(8.74,8.81,8.76,8.93,8.98,8.99), c(8.89,8.99,8.92,9.1,9.13,9.11), c(8.97,8.97,8.91,9.09,9.11,9.11), c(9.04,9.08,9.05,9.25,9.28,9.27), c(9,9.01,9,9.2,9.23,9.2), c(8.99