I have a basic reproducible example here that I think might just be a package limitation. I was wondering if I am just doing something wrong? They both plot fine separately but when combined in the same markdown make the dashboard unable to correctly render.
---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
source_code: embed
runtime: shiny
---
```{r setup, include=FALSE}
library(tidyverse)
library(plotly)
library(albersusa)
state_sf <- usa_sf("aeqd")
state_dat <- data.frame(state = c("Washington", "Wyoming","Texas","California"), pct = c(0.3,0.5,0.8,0.1))
state_map <- state_sf %>%
left_join(state_dat, by = c("name" = "state"))
```
Test
=====================================
Sidebar {.sidebar data-width=200}
-------------------------------------
Testing
Row
-----------------------------------------------------------------------
###Plotly
```{r graph 1, fig.height=4, fig.width=6}
#Symptoms by state last week===================================================
ggplotly(
ggplot(data = state_map) +
geom_sf(aes(fill=pct))
)
```
###Bar
```{r graph 2, fig.height=4, fig.width=3}
ggplot(data=state_dat) +
geom_col(aes(state,pct,fill=pct))
```
If you are using runtime: shiny
you need to use the proper type of Shiny's renderX()
functions for each type of plot object to display properly. I don't know why only one plot chunk (w/o renderX()
) works, but two breaks it.
### Plotly
```{r graph_1, fig.height=4, fig.width=3}
#Symptoms by state last week
renderPlotly({
ggplotly(
ggplot(data = state_map) +
geom_sf(aes(fill=pct))
)
})
```
### Bar
```{r graph_2, fig.height=4, fig.width=3}
renderPlot({
ggplot(data=state_dat) +
geom_col(aes(state,pct,fill=pct))
})
```