Stem Plots in ggplot2
How to make Stem Plots in ggplot2 with Plotly.
Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Sign up for early access now.
Stem plot
library(plotly)
library(ggplot2)
x <- 0:25
y <- cbind(exp(-.07*x)*cos(x), exp(.05*x)*cos(x))
df <- data.frame(y=c(exp(.05*x)*cos(x),exp(-.07*x)*cos(x)),
x=rep(x,2), grp=factor(rep(c(1,2),each=length(x))))
p <- ggplot(aes(group=grp, col=grp, shape=grp), data=df) +
geom_hline(aes(yintercept=0)) +
geom_segment(aes(x,y,xend=x,yend=y-y)) +
geom_point(aes(x,y),size=3)
ggplotly(p)
What About Dash?
Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see fig
, you can display the same figure in a Dash for R application by passing it to the figure
argument of the Graph
component from the built-in dashCoreComponents
package like this:
library(plotly)
fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )
library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)
app <- Dash$new()
app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
)
app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)