r-plotly

I understand how to customize the hover text for scatter plots in plotly , but box plots do not accept the 'text' attribute. Warning message: 'box' objects don't have these attributes: 'text' . I have over 300 x-axis variables and there are numbered samples(1-50) in two groups(A or B) that I want to plot together in the same box plot, then I'd like to differentiate between the sample numbers and groups through hover text when moving the cursor over outliers. I'd like to have my custom data labels instead of the automatic quartile labels. Is that possible with plotly boxplots? library(plotly)

This is a modified version to the previous question here In this app (which reflects my real app better) the following situation happens: I have 2 sets of plots, - the 2 plots of a set show the same traces, just different columns plotted - each plot is on a different page in my app - The two plots should be linked to 1 set of colourInputs , on page 2 - The colourInputs are built in the server with renderUI *1 *1: for this reason, I believe that p %>% onRender(js) approach will not work as I saw earlier in THIS question for the YNbuttons there Goal: if colourInput 'COL_button_plot1_plot2_N'

The two separate charts created from data.frame work correctly when created using the R plotly package. However, I am not sure how to combine them into one (presumably with the add_trace function) df <- data.frame(season=c("2000","2000","2001","2001"), game=c(1,2,1,2),value=c(1:4)) plot_ly(df, x = game, y = value, mode = "markers", color = season) plot_ly(subset(df,season=="2001"), x = game, y = value, mode = "line") Thanks in advance There are two main ways you can do this with plotly, make a ggplot and convert to a plotly object as @MLavoie suggests OR as you suspected by using add_trace on

I've been wracking my brain over how to get rid of the trace name with plotly and can't seem to find anything. It seems adding the trace name is a unique feature of plotly boxplots. I could just name it " " but I need the original trace name so that I can reference it when overlaying a marker. I've simplified the code as much as possible to the root issue. Is there a way to hide the trace name? housing = read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data") colnames(housing) = c("CRIM","ZN","INDUS","CHAS","NOX","RM","AGE","DIS","RAD","TAX","PTRATIO","B",

I am creating bar charts in plotly with y-axis representing percentages or shares within 0-1. The y-axis displays as 0.05 instead of 5.0%. Is there a way to display y-axis tick labels as %## ? I have tried using tickformat = "%" but that doesn't seem to be working. You can do this in plotly using layout : p <- p %>% layout(yaxis = list(tickformat = "%")) Or if you want to only add % and do not reformat the numbers then: p <- p %>% layout(yaxis = list(ticksuffix = "%")) Example: This is an example that shows how to edit the y axis ticks as you wish. (like multiply by a number and add suffix,