lobstr
lobstr copied to clipboard
Understanding complex R objects with tools similar to str()
lobstr 
lobstr provides tools in the same vein as str(), which allow you to
dig into the detail of an object.
Installation
Install the released version of lobstr from CRAN:
install.packages("lobstr")
You can install the development version with:
# install.packages("devtools")
devtools::install_github("r-lib/lobstr")
Example
Abstract syntax trees
ast() draws the abstract syntax tree of R expressions:
ast(a + b + c)
#> █─`+`
#> ├─█─`+`
#> │ ├─a
#> │ └─b
#> └─c
ast(function(x = 1) {
if (x > 0) print("Hi!")
})
#> █─`function`
#> ├─█─x = 1
#> ├─█─`{`
#> │ └─█─`if`
#> │ ├─█─`>`
#> │ │ ├─x
#> │ │ └─0
#> │ └─█─print
#> │ └─"Hi!"
#> └─<inline srcref>
References
ref() shows hows objects can be shared across data structures by
digging into the underlying __ref__erences:
x <- 1:1e6
y <- list(x, x, x)
ref(y)
#> █ [1:0x7fed114eaea8] <list>
#> ├─[2:0x7fed21f373b8] <int>
#> ├─[2:0x7fed21f373b8]
#> └─[2:0x7fed21f373b8]
e <- rlang::env()
e$self <- e
ref(e)
#> █ [1:0x7fecf1856f00] <env>
#> └─self = [1:0x7fecf1856f00]
A related tool is obj_size(), which computes the size of an object
taking these shared references into account:
obj_size(x)
#> 680 B
obj_size(y)
#> 760 B
Call stack trees
cst() shows how frames on the call stack are connected:
f <- function(x) g(x)
g <- function(x) h(x)
h <- function(x) x
f(cst())
#> ▆
#> 1. ├─global f(cst())
#> 2. │ └─global g(x)
#> 3. │ └─global h(x)
#> 4. └─lobstr::cst()