堆叠列表到 R 中的一个数据帧

Question

I already referred all this post1 , post2 , post3 etc. So, please don't mark it as duplicate.

As you can see below, my list of lists has 3 levels. (List within a list within a list). Some of the lists doesn't have child list (ex: visits , procedures )

I don't know how to create list of lists properly. Hence the screenshot above.

I would like to transform the list of lists to a data frame. However, I am not able to transform it to data frame properly. can you help me, please?

Below is what I tried

df = do.call(rbind, dataFcases) # approach 1
df= as.data.frame(t(as.data.frame(dataFcases))) #approach 2
df <- data.frame(matrix(unlist(dataFcases), nrow=length(dataFcases), byrow=T)) #approach 3

I don't know how to create sample data for 3 levels as I am new to R. Can you please help me convert this to a data frame?

Answer 1

A dummy database:

for (i in c(1:6)){
  c1=paste0('a',i)
  c2=paste0('b',i)
  assign(paste0('df',i),tibble(!!c1 := rnorm(50), !!c2 := rnorm(50)))
}
L3=list(list(df1,df2,df3),list(df4,df5),df6)

This looks like:

Using bind_rows :

> L3 %>%
+   bind_rows(.id='df_identifier')
# A tibble: 300 x 13
   df_identifier      a1      b1    a2    b2    a3    b3    a4    b4    a5    b5    a6    b6
   <chr>           <dbl>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
 1 1             -0.222  -0.744     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 2 1             -1.09   -0.307     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 3 1             -0.520   0.160     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 4 1              1.13    0.380     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 5 1             -1.26   -2.17      NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 6 1              0.575   0.0486    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 7 1              0.0447 -1.48      NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 8 1             -0.735   0.730     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
 9 1             -0.360  -0.143     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
10 1              0.240  -0.245     NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
# ... with 290 more rows