I renamed the file to a shorter name and placed it in my home directory

path <- "~/lamanna.RData"

The file loads with the original name it was saved but I rename it for short

load(path)
lamanna <- ctfs.data.list

The dataset is a deeply nested list. Here I print only a little bit.

str(lamanna, list.len = 2)

## List of 24
##  $ :List of 4
##   ..$ :'data.frame': 74426 obs. of  10 variables:
##   .. ..$ plot.code   : int [1:74426] 1 1 1 1 1 1 1 1 1 1 ...
##   .. ..$ spp.code    : int [1:74426] 5 6 6 6 6 6 6 6 6 6 ...
##   .. .. [list output truncated]
##   ..$ :'data.frame': 400 obs. of  4 variables:
##   .. ..$ plot.code: int [1:400] 1 1 1 1 1 1 1 1 1 1 ...
##   .. ..$ quadrat  : chr [1:400] "0101" "0102" "0103" "0104" ...
##   .. .. [list output truncated]
##   .. [list output truncated]
##  $ :List of 4
##   ..$ :'data.frame': 96473 obs. of  10 variables:
##   .. ..$ plot.code   : int [1:96473] 2 2 2 2 2 2 2 2 2 2 ...
##   .. ..$ spp.code    : int [1:96473] 4 4 4 4 4 4 4 4 4 4 ...
##   .. .. [list output truncated]
##   ..$ :'data.frame': 600 obs. of  4 variables:
##   .. ..$ plot.code: int [1:600] 2 2 2 2 2 2 2 2 2 2 ...
##   .. ..$ quadrat  : chr [1:600] "0101" "0102" "0103" "0104" ...
##   .. .. [list output truncated]
##   .. [list output truncated]
##   [list output truncated]

A great way to see nested lists is with View() in a new-ish RStudio. You may use rstudio.cloud.

View(lamanna)

Expect to see something like this:

Notice the dropdowns, and to the rigt notice the two icons that appear as you hover.

• Clicking on the first of those icons pops up a view of that particular nested-element of the list:

• Clicking on the second of those icons automatically sends to the console the code you need to run to extract that element of the list: