r-plotly

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 I have used sprintf and formatC to take a double value and round it to two decimal places. However, when I go to use it in ggplot and ggplotly, it makes my visuals act out. Dput: structure(list(Date = structure(c(18328, 18329, 18330, 18331, 18332, 18333), class = "Date"), State = c("Louisiana", "Louisiana", "Louisiana", "Louisiana", "Louisiana", "Louisiana"), variablename1 = c(0, 0, 1, 1, 6, 14), variablename2 = c(5, 5, 5, 11, 37, 37), death = c(0, 0, 0, 0, 0, 0), variablename3 = c(5, 5, 6,

问题 I am using the R programming language. Using the "plotly" library, I was able to make the following interactive graph: library(dplyr) library(ggplot2) library(shiny) library(plotly) library(htmltools) library(dplyr) #generate data set.seed(123) var = rnorm(731, 100,25) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") data = data.frame(var,date) vals <- 90:100 combine <- vector('list', length(vals)) count <- 0 for (i in vals) { data$var_i = i data$new_var_i = ifelse(data$var >i,1,0

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"

问题 I have a dataset that dates and call volume per day. When I plotted them using the plotly R package, all except for 1 of them had each date separated into a different bin. However, this one tricky subset of the data instead grouped bins into 2 day intervals, which isn't very useful information. I'm sure it's an easy fix, but I'm not quite sure how to change the bin width. a <- as.Date(c("2019-02-01", "2019-01-14", "2019-01-15", "2019-01-24", "2019-01-31", "2019-01-22","2019-01-14", "2019-01

问题 I don't know whether this is a plotly question or an htmlwidgets question. Maybe it's both. I am using R to make plotly widgets, which are -- when made from R -- also htmlwidgets. When making plotly widgets in this way, the resulting HTML contains a stringified JSON object that includes the data and some settings for the widget. But only some parts of this JSON object are easily accessed from a Javascript console. For example, the "data" and "layout" objects are easily accessed, but the

问题 I have created subplots in Plotly that each contain a bar chart (or boxplot ) and three trace lines. I have created traces at y= 1,2,3 to act as ablines like in ggplot . What the plots look like: and . Problem: I want to have it so the bars of the bar chart are in front of the trace lines so you should only be able to see the trace lines in between the bars. My code currently: (I have excluded the code that generates the subplots as I don't think it is needed) generate_plotly_barPlot <-

问题 I have created subplots in Plotly that each contain a bar chart (or boxplot ) and three trace lines. I have created traces at y= 1,2,3 to act as ablines like in ggplot . What the plots look like: and . Problem: I want to have it so the bars of the bar chart are in front of the trace lines so you should only be able to see the trace lines in between the bars. My code currently: (I have excluded the code that generates the subplots as I don't think it is needed) generate_plotly_barPlot <-