creating multiple editable ggplots in powerpoint

Question

I am trying to create a way to take a list of ggplots and turn them into a powerpoint with each slide being an editable ggplot from the list. Below I provided the code I have and explained in the notes where the issue occurs aka during the loop. It seems like it is overriding itself when looping.

```
library(dplyr)
library(tidyverse)
library(officer)
library(rvg)
```
#create example data 
```
df <- data.frame(country = c(rep('USA',20), rep('Canada',20), rep('Mexico',20)),

                 wave = c(1:20, 1:20, 1:20),

                 par = c(1:20 + 5*runif(20), 21:40 + 10*runif(20), 1:20 + 15*runif(20)))

 

countries <- unique(df$country)

 ```

#make list of plots 
```
plot_list <- list()

i <- 1

 

for (c in countries){

  pl <- ggplot(data = df %>% filter(country == c)) +

    geom_point(aes(wave, par), size = 3, color = 'red') +

    labs(title = as.character(c), x = 'wave', y = 'value') +

    theme_bw(base_size = 16)

 

  plot_list[[i]] <- pl

  i <- i + 1

}

#plot_list is the list of plots 
plot_list

 

#convert list of plots into editable vector graphic objects

myplots <-  dml(ggobj = plot_list

                ,bg = "white"

                ,pointsize = 12

                ,editable = TRUE)
 

### now create loop ---- this is were I get issues. it seems like the plots are just overriding one another during the loop and not creating a new slide

{

  for(plot in 1:length(plot_list)) {

    doc <- read_pptx()

    doc <- add_slide(doc, "Title and Content", "Office Theme")

    doc <- ph_with(doc, plot_list[[plot]], location = ph_location_fullsize())

    fileout <- "vectorGraphics.pptx"

    print(doc, target = fileout)

  }

}

 ```

Answer 1

First, I would suggest to use lapply to create your list of plots. Second, to convert your plots to dml objects you have to loop over the list of plots. Finally, if you want one pptx with each plot on a separate slide, create and export the pptx outside of the for loop:

library(ggplot2)
library(officer)
library(rvg)

plot_list <- df |>
  split(~country) |>
  lapply(\(x) {
    ggplot(x) +
      geom_point(aes(wave, par), size = 3, color = "red") +
      labs(title = unique(x$country), x = "wave", y = "value") +
      theme_bw(base_size = 16)
  })

plot_list_dml <- lapply(
  plot_list, \(x)
  dml(
    ggobj = x,
    bg = "white",
    pointsize = 12,
    editable = TRUE
  )
)

doc <- read_pptx()
for (plot in plot_list_dml) {
  doc <- add_slide(doc, "Title and Content", "Office Theme")

  doc <- ph_with(doc, plot, location = ph_location_fullsize())
}

fileout <- "vectorGraphics.pptx"

print(doc, target = fileout)