I am working on data visualization with R and shiny.
It takes some time to load my visualization and be able to provide plots under tab panels.
Ex. I made 3 tabs for box plot, bar plot, and bean plot
Taking time to visualize the result is understandable, but I am not sure how to check if the plot is visible so that users do not need to wait even though incProcess function reports the program is done.
First, I recorded the time to visualize and tried to delay some time, but it is very subjective to the data input, so I do not think that is a good solution.
Would you be able to provide me solution?
Thank you
I think I need a solution NOT to check if a code is done but the visualization is done.
Related
Suppose I have a plotly graph in which I want to show another plot as hover info. Is it possible using plotly or echart4r? If yes, an example would be really appreciated.
It's certainly not a straightforward solution but this should be achievable using Shiny.
Plotly has the event_data function to allow you to access information about the user's interaction with the plot (such as where they are hovering):
https://rdrr.io/cran/plotly/man/event_data.html
https://plotly-r.com/linking-views-with-shiny.html#shiny-plotly-inputs
You could then tie this to a reactive UI element which contains the plot you are after inside of a tooltip. You will likely need to use a bit of Javascript to move around the tooltip. See example 3 from here for an idea:
https://stackoverflow.com/a/38919892/2947600
Give this a go if you'd like and if you're having a hard time, I might have the time to make a minimal example.
I am currently preparing a shiny app that shows demographics for my country. I am using the plotly package for data visualization. All the graphs are great, but the problem is that they render very slowly. That is, when I start the application, I have to wait about 30 seconds for the graphs to appear on the screen. Is there any way to speed up the rendering of the graphs and make them appear on the screen much faster? I think the maximum delay can be 2-3 seconds, I wouldn't want more. I have a 8 or 9 graphs per page so honestly, I don't want to believe that the R language and the plotly package that are designed for data visualization work so poorly with such a number of graphs, so I'm considering some mistakes on my own. I found this guide: https://plotly-r.com/performance.html
however, the first way toWebGL () doesn't work at all, and using the second function partial_bundle () I have the impression that the graphs render even slower. So, are there any other ways to speed up the rendering of the graphs? What errors should I watch out for in the code so as not to slow down the rendering of the graphs? I will be grateful for all tips, advice, and in particular for suggestions to solve the problem.
The problem seems general to me, so I do not add my code, but if necessary I will of course add it
Thanks in advance!
I want to implement interactive graph from plotly in overleaf. However, overleaf removed the communication with plotly in the V2 version. Is it still possible somehow to implement interactive graph in overleaf and therefore in pdf?
I want to hide/unhide line, zoom in and see value of different points when clicking on it.
I saw this question a couple times before, but the answere was only to zoom in or use javascript and implementing different picture on top of eachother.
However, this is not what i am looking for. I am looking for a really interactive in PDF. Does somebody know how this is possible?
I was trying to allow the user to give a curve as input for some analysis. Is there a package that can be used in this regard? Basically, a GUI like paint wherein the user can draw a simple curve and which would be stored in R as a set of data points or as an equation if its a simple curve.
Thanks
Gopher
Reading mouse input
Below is a list of sample approaches to first the problem, from the most complex to simplest (IMHO).
I would recommend that you have a look at the
qtpaint
package.
Less laborious solution may involve looking at the way interactive
plots in Shiny are handled. Using the click option would
enable you to get the mouse cursor position. Together with the Shiny
framework this would provide a convenient wrapper to get mouse input
from a user.
Finally, third approach could rely on making use of the locator function available in the graphics package. Depending on what you intend to do, this may be the simplest solution as you could then use read values to inform generation of your graphic.
Generating graphics
Assuming that you got your values via the locator functionality you could attempt to draw your line using segments. It would be a little fiddly as you would have to translate your coordinates to some placement of the dot in your desired chart but this wouldn't computationally too taxing, just a matter of bring mouse pointer values to some x/y values on the chart.
If you care to update your post with a sample code and reproducible attempts of your previous work, I bet the question will receive more replies. You may find this discussion on making a reproducible example in R helpful.
I'd like to create a heat map in R that I want to use on a website. I stumbled upon the SVGAnnotation package which seems to be very nice to process SVG graphics in R to make them more interactive. First, I was planning to add tool tips for each cell in the heatmap - if the user hovers over the cell, the value of this cell should pop up. However, I am fighting with SVGAnnotation for more than 3 hours now, reading and trying things, and I can't get it to work.
I would appreciate any help on the SVGAnnotation tool tip function. But I would also very much appreciate alternatives to SVGAnnotation to add some activity to my R SVG heatmap.
So, what I have got so far looks like this:
library(SVGAnnotation)
data(mtcars)
cars <- as.matrix(mtcars)
map <- svgPlot(heatmap(cars))
addToolTips(map, ...) # problem
saveXML(map, "cars.svg")
My problem is the addToolTips function itself, I guess. Intuitively, I would simply insert the data matrix, i.e., cars, but this does not work and R gets stuck (it's calculating, but doesn't return anything, I waited 50 minutes)
EDIT:
After some more online research, I found a good example of what I want to achieve: http://online.wsj.com/article/SB125993225142676615.html#articleTabs=interactive
This heat map looks really great, and the interactive features (tool tips) work very well. I am wondering how they did that. To me, it looks like the graphic was done in R using the ggplot package.
I wrote a command line tool that can do exactly that if you are still interested to add tool tips to your heat map. It runs in Windows/Linux/MacOS terminals. All you need as input is the heat map as svg file and the data table/matrix that you used as input to create your heat map as csv or other text file.