ggvis

I am trying to create a shiny app with ggvis plots and radio buttons. I have three plots created by ggvis. Users can switch the different plot based on which radio option they select. For example, if user selects A, only plot1 is displayed on user interface. If user select B, the plot switch to plot2. My problem is I don't know how to connect the plots with radio buttons. I've been struggling for hours. Thanks a lot for your help! I have some example code below. df <- data.frame(Student = c("a","a","a","a","a","b","b","b","b","b","c","c","c","c"), year = c(seq(2001,2005,1),seq(2003,2007,1),seq

I want to add a title to a ggvis plot. I can't find an example anywhere. It's simple to do with other R plots, e.g. library(ggplot2) library(ggvis) x <- 1:10 y <- x^2 df <- data.frame(x, y) plot(x, y, main = "Plot Title") # Base R with title ggplot(df, aes(x, y)) + geom_point() + ggtitle("Plot Title") # ggplot2 with title df %>% ggvis(~x, ~y) %>% layer_points() # ggvis but no title?? Feel like I'm missing something obvious. Any help appreciated. Well, seems like it has not been implemented (or documented?) yet. I'm pretty sure this will be added soon. For now, you can use a dirty hack like so:

In ggvis how to make legend vertical? mtcars %>% ggvis(x = ~wt, y = ~mpg, fill = ~cyl) %>% layer_points() %>% add_legend("fill",properties = legend_props( legend = list(x = 500, y = 50))) It puts the legends horizontally. I want it to be vertical. Try the below code: mtcars %>% ggvis(~wt, ~mpg, size = ~cyl, fill = ~cyl) %>% layer_points() %>% add_legend(c("size", "fill")) Output chart: Hope this helps. Edit: I explored the add_legend properties and unfortunately I do not see any way of achieving vertical continues scale legend using ggvis for now, however it can be achieved using ggplot2 . R

I'm looking into building a shiny app with ggvis. For this I'm using a small dataset called "company". It contains employee data where each line represents and employee. From a ggvis perspective I'm trying the following: Creating a bar chart that shows distribution for the following variables: Age Role Sex Instead of creating three different bar charts by using the following code: #Barcharts - Role company %>% ggvis(~Role,opacity := 0.8, fill:= "firebrick") %>% layer_bars() %>% scale_ordinal('x', domain=c('Analyst','Consultant','Software Engineer','Manager','Director')) #Barcharts - Age

I have an RStudio Shiny server running and I installed ggvis from https://github.com/rstudio/ggvis but I am not able to reproduce any of the demo examples in the server. When I run R with the same version installed in the server (3.1.0), I can do the following: > library("shiny") > library("ggvis") The ggvis API is currently rapidly evolving. We strongly recommend that you do not rely on this for production, but feel free to explore. If you encounter a clear bug, please file a minimal reproducible example at https://github.com/rstudio/ggvis/issues. For questions and other discussion, please