Plot list of lists with facet

Say I have a list of the following structure:

> results %>% str()
List of 6
 $ : num [1:5000, 1:2] -9.22 10.01 -3.33 -3.91 1.2 ...
  ..- attr(*, "scaled:center")= num [1:2] -0.1 -0.05
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL
 $ : num [1:5000, 1:2] -7.82  7.74  6.30 -2.34 -5.76 ...
  ..- attr(*, "scaled:center")= num [1:2] 0.1 0.5
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL
 $ : num [1:5000, 1:2] 1.87  0.17 -3.90 -0.20  4.73 ...
  ..- attr(*, "scaled:center")= num [1:2] -0.3 -0.001
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL
 $ : num [1:5000, 1:2] -2.54  8.29 -4.76 -4.47  4.59 ...
  ..- attr(*, "scaled:center")= num [1:2] 2.05 -0.03
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL
 $ : num [1:5000, 1:2] --1.67  0.74 -4.94  9.94 -1.70 ...
  ..- attr(*, "scaled:center")= num [1:2] -0.3 -0.5
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL
 $ : num [1:5000, 1:2] 8.91 -7.83  8.12  6.32  0.84 ...
  ..- attr(*, "scaled:center")= num [1:2] 3.01 0.8
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:5000] "1" "2" "3" "4" ...
  .. ..$ : NULL

I want to plot each list in ggplot and can do this easily by referencing the correct index and feeding it into a ggplot() call. For example:

results[[1]] %>% 
as.data.frame() %>% 
  ggplot(., aes(V1, V2, color = color, alpha = color))  
  geom_point()  
  scale_color_gradientn(colours = viridisLite::turbo(256))  
  labs(title = "nn = ")

But this becomes rather tedious when I want a plot for each list. Ideally i'd use something like facet_wrap() to produce a single graph with all the plots in it. However, I do not know how to transform the original results object into the right format. I have tried the following:

results %>% as.data.frame() %>% dim()

But that returns a df of 5,000 x 12, whereas what I want is a df of 30,000 x 3 (where the third column is the indicator for which list the data originally comes from).

Does anyone know if there is an easy way to feed the lists into ggplot directly and facet them as per the description above? Or, alternatively, can someone help me figure out how to transform the results object into the right format?

Many thanks in advance

CodePudding user response：

You could use lapply to convert each element of your list to a data.frame and afterwards use e.g. dplyr::bind_rows to bind your data in one dataframe and to add an id column which could then be used as faceting variable.

Using some fake data as example data:

# Fake example data
results <- list(
  matrix(data = 1:20, nrow = 10),
  matrix(data = 1:20, nrow = 10),
  matrix(data = 1:20, nrow = 10)
)

library(ggplot2)
library(dplyr)

dresults <- lapply(results, as.data.frame) %>% 
  bind_rows(.id = "id")

ggplot(dresults, aes(V1, V2))  
  geom_point()  
  facet_wrap(~id)