Not able to plot side by side plotly bar plots in R Shiny flexdashboard -


i have design shiny flexdashboard , want plot 2 bar plots in plotly "single" tab.

what trying following:

--- title: "my dashboard" output:    flexdashboard::flex_dashboard:     orientation: column     vertical_layout: fill         ---  ```{r setup, include=false} library(flexdashboard) library(ggplot2) library(plotly) library(plyr) ```   page =====================================   column {data-width=260 .tabset} -----------------------------------------------------------------------  ### tab 1  ```{r}  ```  ### tab 2  ```{r}  ```  ### tab 3  ```{r}  ```  column {.tabset} -----------------------------------------------------------------------  ### region 1  ```{r}  # make noisily increasing data set.seed(955) dat <- data.frame(cond = rep(c("a", "b"), each=10),                   xvar = 1:20 + rnorm(20,sd=3),                   yvar = 1:20 + rnorm(20,sd=3))   p1 <- ggplot(dat, aes(x=xvar, y=yvar)) +             geom_point(shape=1)      # use hollow circles ggplotly(p1)   p2 <- ggplot(dat, aes(x=xvar, y=yvar)) +             geom_point(shape=1) +    # use hollow circles             geom_smooth(method=lm)   # add linear regression line ggplotly(p2)  ```  ### region 2  ```{r} ```

i not getting plots side side (1 x 2 i.e. vertically side side).

using above code, should able 2 plots in single tab, getting one. also, expecting 2 plots next each other. looks have terrible mistake here.

where wrong??

we can use subplot 

subplot(ggplotly(p1), ggplotly(p2))

-full code

title: "my dashboard" output:    flexdashboard::flex_dashboard:   orientation: column vertical_layout: fill         ---  ```{r setup, include=false} library(flexdashboard) library(ggplot2) library(plotly) library(plyr)    ```   page =====================================     column {data-width=260 .tabset} -----------------------------------------------------------------------  ### tab 1  ```{r}  ```  ### tab 2  ```{r}  ```  ### tab 3  ```{r}  ```  column {.tabset} -----------------------------------------------------------------------  ### region 1  ```{r}  # make noisily increasing data set.seed(955) dat <- data.frame(cond = rep(c("a", "b"), each=10),                   xvar = 1:20 + rnorm(20,sd=3),                   yvar = 1:20 + rnorm(20,sd=3))   p1 <- ggplot(dat, aes(x=xvar, y=yvar)) +   geom_point(shape=1)      # use hollow circles   p2 <- ggplot(dat, aes(x=xvar, y=yvar)) +   geom_point(shape=1) +    # use hollow circles   geom_smooth(method=lm)   # add linear regression line  subplot(ggplotly(p1), ggplotly(p2))   ```  ### region 2  ```{r} ```

-output

enter image description here


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