Reputation: 1713
I have R markdown document and I want to dynamically create tabs with ggplotly graphics inside them
---
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r}
library(ggplot2)
library(plotly)
```
```{r}
fig=ggplot(cars)+geom_point(aes(speed, dist))
```
# level 1
## level 2{.tabset .tabset-pills}
```{r echo=FALSE, results='asis'}
for (h in 1:3){
cat("###", h,'{-}', '\n\n')
ggplotly(fig)
cat( '\n\n')
}
```
I understand that it is different from normal ggplot
graph and I looked at the solutions here: enter link description here but It did not work for me
Upvotes: 3
Views: 3395
Reputation: 124473
Following this post this can be achieved like so:
Edit: Following this post I added two functions to pass the fig.width
and fig.height
to ggplotly.
Edit 2: Added the code to additionally use plotly::subplot
s.
---
title: test
date: "20 5 2020"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r}
library(ggplot2)
library(plotly)
```
```{r, echo=FALSE}
# Get the current figure size in pixels:
get_w <- function() {
with(knitr::opts_current$get(c("fig.width", "dpi", "fig.retina")),
fig.width*dpi/fig.retina)
}
get_h <- function() {
with(knitr::opts_current$get(c("fig.height", "dpi", "fig.retina")),
fig.height*dpi/fig.retina)
}
```
```{r}
fig <- ggplot(cars) +
geom_point(aes(speed, dist))
```
# level 1
## level 2 {.tabset .tabset-pills}
```{r, include=FALSE}
htmltools::tagList(ggplotly(fig))
```
```{r echo=FALSE, results='asis', fig.width=4, fig.height=4}
fig <- ggplotly(fig, width = get_w(), height = get_h())
for (h in 1:3) {
cat("###", h, '{-}', '\n\n')
print(htmltools::tagList(plotly::subplot(fig, fig, nrows=2, heights = c(0.1, 0.9))))
cat( '\n\n')
}
```
Upvotes: 6
Reputation: 3252
found a solution from this link too, this doesn't call for HTML, just markdown.
---
date: "20 5 2020"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r}
library(ggplot2)
library(plotly)
```
```{r}
fig <- ggplot(cars) +
geom_point(aes(speed, dist))
```
## Results {.tabset}
### 1
We show a scatter plot in this section.
```{r}
ggplotly(fig)
```
### 2
We show the data in this tab.
```{r}
ggplotly(fig)
```
Upvotes: -2