Nothing
tests/testthat/_snaps/str.md
In tibble: Simple Data Frames
output test
Code
str(as_tibble(mtcars), width = 70L)
Output
tibble [32 x 11] (S3: tbl_df/tbl/data.frame)
$ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
$ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ...
$ disp: num [1:32] 160 160 108 258 360 ...
$ hp : num [1:32] 110 110 93 110 175 105 245 62 95 123 ...
$ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
$ wt : num [1:32] 2.62 2.88 2.32 3.21 3.44 ...
$ qsec: num [1:32] 16.5 17 18.6 19.4 17 ...
$ vs : num [1:32] 0 0 1 1 0 1 0 1 1 1 ...
$ am : num [1:32] 1 1 1 0 0 0 0 0 0 0 ...
$ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ...
$ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ...
Code
str(as_tibble(trees), width = 70L)
Output
tibble [31 x 3] (S3: tbl_df/tbl/data.frame)
$ Girth : num [1:31] 8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
$ Height: num [1:31] 70 65 63 72 81 83 66 75 80 75 ...
$ Volume: num [1:31] 10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
Code
# No columns
str(as_tibble(trees[integer()]), width = 70L)
Output
tibble [31 x 0] (S3: tbl_df/tbl/data.frame)
Named list()
Code
# Non-syntactic names
df <- tibble(!!!set_names(c(5, 3), c("mean(x)", "var(x)")))
str(df, width = 28)
Output
tibble [1 x 2] (S3: tbl_df/tbl/data.frame)
$ mean(x): num 5
$ var(x) : num 3
Code
str(as_tibble(df_all), width = 70L)
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# options(tibble.width = 50)
withr::with_options(list(tibble.width = 50), str(as_tibble(df_all)))
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" "2015-12-11" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" "2015-12-09 10:51:36" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# options(tibble.width = 35)
withr::with_options(list(tibble.width = 35), str(as_tibble(df_all)))
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" "2015-12-11" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" "2015-12-09 10:51:36" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# non-tibble
str(5)
Output
num 5
Code
Volume <- unique(trees$Volume)
data <- unname(split(trees, trees$Volume))
nested_trees_df <- tibble(Volume, data)
str(nested_trees_df, width = 70L)
Output
tibble [30 x 2] (S3: tbl_df/tbl/data.frame)
$ Volume: num [1:30] 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 24.2 ...
$ data :List of 30
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 8.8
.. ..$ Height: num 63
.. ..$ Volume: num 10.2
..$ :'data.frame': 2 obs. of 3 variables:
.. ..$ Girth : num [1:2] 8.3 8.6
.. ..$ Height: num [1:2] 70 65
.. ..$ Volume: num [1:2] 10.3 10.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11
.. ..$ Height: num 66
.. ..$ Volume: num 15.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.5
.. ..$ Height: num 72
.. ..$ Volume: num 16.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11
.. ..$ Height: num 75
.. ..$ Volume: num 18.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.7
.. ..$ Height: num 81
.. ..$ Volume: num 18.8
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12
.. ..$ Height: num 75
.. ..$ Volume: num 19.1
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.8
.. ..$ Height: num 83
.. ..$ Volume: num 19.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.2
.. ..$ Height: num 75
.. ..$ Volume: num 19.9
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.7
.. ..$ Height: num 69
.. ..$ Volume: num 21.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12.9
.. ..$ Height: num 74
.. ..$ Volume: num 22.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.1
.. ..$ Height: num 80
.. ..$ Volume: num 22.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.3
.. ..$ Height: num 79
.. ..$ Volume: num 24.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.8
.. ..$ Height: num 64
.. ..$ Volume: num 24.9
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.7
.. ..$ Height: num 71
.. ..$ Volume: num 25.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.3
.. ..$ Height: num 86
.. ..$ Volume: num 27.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14.2
.. ..$ Height: num 80
.. ..$ Volume: num 31.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12.9
.. ..$ Height: num 85
.. ..$ Volume: num 33.8
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14
.. ..$ Height: num 78
.. ..$ Volume: num 34.5
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14.5
.. ..$ Height: num 74
.. ..$ Volume: num 36.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 16
.. ..$ Height: num 72
.. ..$ Volume: num 38.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 16.3
.. ..$ Height: num 77
.. ..$ Volume: num 42.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51.5
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.3
.. ..$ Height: num 81
.. ..$ Volume: num 55.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.5
.. ..$ Height: num 82
.. ..$ Volume: num 55.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.9
.. ..$ Height: num 80
.. ..$ Volume: num 58.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 20.6
.. ..$ Height: num 87
.. ..$ Volume: num 77
Code
data <- map(data, as_tibble)
nested_trees_tbl <- tibble(Volume, data)
str(nested_trees_tbl, width = 70L)
Output
tibble [30 x 2] (S3: tbl_df/tbl/data.frame)
$ Volume: num [1:30] 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 24.2 ...
$ data :List of 30
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 8.8
.. ..$ Height: num 63
.. ..$ Volume: num 10.2
..$ : tibble [2 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num [1:2] 8.3 8.6
.. ..$ Height: num [1:2] 70 65
.. ..$ Volume: num [1:2] 10.3 10.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11
.. ..$ Height: num 66
.. ..$ Volume: num 15.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.5
.. ..$ Height: num 72
.. ..$ Volume: num 16.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11
.. ..$ Height: num 75
.. ..$ Volume: num 18.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.7
.. ..$ Height: num 81
.. ..$ Volume: num 18.8
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12
.. ..$ Height: num 75
.. ..$ Volume: num 19.1
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.8
.. ..$ Height: num 83
.. ..$ Volume: num 19.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.2
.. ..$ Height: num 75
.. ..$ Volume: num 19.9
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.7
.. ..$ Height: num 69
.. ..$ Volume: num 21.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12.9
.. ..$ Height: num 74
.. ..$ Volume: num 22.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.1
.. ..$ Height: num 80
.. ..$ Volume: num 22.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.3
.. ..$ Height: num 79
.. ..$ Volume: num 24.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.8
.. ..$ Height: num 64
.. ..$ Volume: num 24.9
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.7
.. ..$ Height: num 71
.. ..$ Volume: num 25.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.3
.. ..$ Height: num 86
.. ..$ Volume: num 27.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14.2
.. ..$ Height: num 80
.. ..$ Volume: num 31.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12.9
.. ..$ Height: num 85
.. ..$ Volume: num 33.8
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14
.. ..$ Height: num 78
.. ..$ Volume: num 34.5
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14.5
.. ..$ Height: num 74
.. ..$ Volume: num 36.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 16
.. ..$ Height: num 72
.. ..$ Volume: num 38.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 16.3
.. ..$ Height: num 77
.. ..$ Volume: num 42.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51.5
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.3
.. ..$ Height: num 81
.. ..$ Volume: num 55.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.5
.. ..$ Height: num 82
.. ..$ Volume: num 55.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.9
.. ..$ Height: num 80
.. ..$ Volume: num 58.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 20.6
.. ..$ Height: num 87
.. ..$ Volume: num 77
Code
trees2 <- as_unknown_rows(trees)
str(trees2, width = 70L)
Output
unknwn_r [?? x 3] (S3: unknown_rows/tbl_df/tbl/data.frame)
$ Girth : num [1:31] 8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
$ Height: num [1:31] 70 65 63 72 81 83 66 75 80 75 ...
$ Volume: num [1:31] 10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
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output test
Code
str(as_tibble(mtcars), width = 70L)
Output
tibble [32 x 11] (S3: tbl_df/tbl/data.frame)
$ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
$ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ...
$ disp: num [1:32] 160 160 108 258 360 ...
$ hp : num [1:32] 110 110 93 110 175 105 245 62 95 123 ...
$ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
$ wt : num [1:32] 2.62 2.88 2.32 3.21 3.44 ...
$ qsec: num [1:32] 16.5 17 18.6 19.4 17 ...
$ vs : num [1:32] 0 0 1 1 0 1 0 1 1 1 ...
$ am : num [1:32] 1 1 1 0 0 0 0 0 0 0 ...
$ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ...
$ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ...
Code
str(as_tibble(trees), width = 70L)
Output
tibble [31 x 3] (S3: tbl_df/tbl/data.frame)
$ Girth : num [1:31] 8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
$ Height: num [1:31] 70 65 63 72 81 83 66 75 80 75 ...
$ Volume: num [1:31] 10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
Code
# No columns
str(as_tibble(trees[integer()]), width = 70L)
Output
tibble [31 x 0] (S3: tbl_df/tbl/data.frame)
Named list()
Code
# Non-syntactic names
df <- tibble(!!!set_names(c(5, 3), c("mean(x)", "var(x)")))
str(df, width = 28)
Output
tibble [1 x 2] (S3: tbl_df/tbl/data.frame)
$ mean(x): num 5
$ var(x) : num 3
Code
str(as_tibble(df_all), width = 70L)
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# options(tibble.width = 50)
withr::with_options(list(tibble.width = 50), str(as_tibble(df_all)))
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" "2015-12-11" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" "2015-12-09 10:51:36" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# options(tibble.width = 35)
withr::with_options(list(tibble.width = 35), str(as_tibble(df_all)))
Output
tibble [3 x 9] (S3: tbl_df/tbl/data.frame)
$ a: num [1:3] 1 2.5 NA
$ b: int [1:3] 1 2 NA
$ c: logi [1:3] TRUE FALSE NA
$ d: chr [1:3] "a" "b" NA
$ e: Factor w/ 2 levels "a","b": 1 2 NA
$ f: Date[1:3], format: "2015-12-10" "2015-12-11" ...
$ g: POSIXct[1:3], format: "2015-12-09 10:51:35" "2015-12-09 10:51:36" ...
$ h:List of 3
..$ : int 1
..$ : int 2
..$ : int NA
$ i:List of 3
..$ :List of 2
.. ..$ : num 1
.. ..$ : int [1:2] 2 3
..$ :List of 1
.. ..$ : int [1:3] 4 5 6
..$ :List of 1
.. ..$ : logi NA
Code
# non-tibble
str(5)
Output
num 5
Code
Volume <- unique(trees$Volume)
data <- unname(split(trees, trees$Volume))
nested_trees_df <- tibble(Volume, data)
str(nested_trees_df, width = 70L)
Output
tibble [30 x 2] (S3: tbl_df/tbl/data.frame)
$ Volume: num [1:30] 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 24.2 ...
$ data :List of 30
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 8.8
.. ..$ Height: num 63
.. ..$ Volume: num 10.2
..$ :'data.frame': 2 obs. of 3 variables:
.. ..$ Girth : num [1:2] 8.3 8.6
.. ..$ Height: num [1:2] 70 65
.. ..$ Volume: num [1:2] 10.3 10.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11
.. ..$ Height: num 66
.. ..$ Volume: num 15.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.5
.. ..$ Height: num 72
.. ..$ Volume: num 16.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11
.. ..$ Height: num 75
.. ..$ Volume: num 18.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.7
.. ..$ Height: num 81
.. ..$ Volume: num 18.8
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12
.. ..$ Height: num 75
.. ..$ Volume: num 19.1
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 10.8
.. ..$ Height: num 83
.. ..$ Volume: num 19.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.2
.. ..$ Height: num 75
.. ..$ Volume: num 19.9
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.7
.. ..$ Height: num 69
.. ..$ Volume: num 21.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12.9
.. ..$ Height: num 74
.. ..$ Volume: num 22.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.1
.. ..$ Height: num 80
.. ..$ Volume: num 22.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 11.3
.. ..$ Height: num 79
.. ..$ Volume: num 24.2
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.8
.. ..$ Height: num 64
.. ..$ Volume: num 24.9
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.7
.. ..$ Height: num 71
.. ..$ Volume: num 25.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 13.3
.. ..$ Height: num 86
.. ..$ Volume: num 27.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14.2
.. ..$ Height: num 80
.. ..$ Volume: num 31.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 12.9
.. ..$ Height: num 85
.. ..$ Volume: num 33.8
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14
.. ..$ Height: num 78
.. ..$ Volume: num 34.5
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 14.5
.. ..$ Height: num 74
.. ..$ Volume: num 36.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 16
.. ..$ Height: num 72
.. ..$ Volume: num 38.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 16.3
.. ..$ Height: num 77
.. ..$ Volume: num 42.6
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51.5
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.3
.. ..$ Height: num 81
.. ..$ Volume: num 55.4
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.5
.. ..$ Height: num 82
.. ..$ Volume: num 55.7
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 17.9
.. ..$ Height: num 80
.. ..$ Volume: num 58.3
..$ :'data.frame': 1 obs. of 3 variables:
.. ..$ Girth : num 20.6
.. ..$ Height: num 87
.. ..$ Volume: num 77
Code
data <- map(data, as_tibble)
nested_trees_tbl <- tibble(Volume, data)
str(nested_trees_tbl, width = 70L)
Output
tibble [30 x 2] (S3: tbl_df/tbl/data.frame)
$ Volume: num [1:30] 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 24.2 ...
$ data :List of 30
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 8.8
.. ..$ Height: num 63
.. ..$ Volume: num 10.2
..$ : tibble [2 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num [1:2] 8.3 8.6
.. ..$ Height: num [1:2] 70 65
.. ..$ Volume: num [1:2] 10.3 10.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11
.. ..$ Height: num 66
.. ..$ Volume: num 15.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.5
.. ..$ Height: num 72
.. ..$ Volume: num 16.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11
.. ..$ Height: num 75
.. ..$ Volume: num 18.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.7
.. ..$ Height: num 81
.. ..$ Volume: num 18.8
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12
.. ..$ Height: num 75
.. ..$ Volume: num 19.1
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 10.8
.. ..$ Height: num 83
.. ..$ Volume: num 19.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.2
.. ..$ Height: num 75
.. ..$ Volume: num 19.9
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.7
.. ..$ Height: num 69
.. ..$ Volume: num 21.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.4
.. ..$ Height: num 76
.. ..$ Volume: num 21.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12.9
.. ..$ Height: num 74
.. ..$ Volume: num 22.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.1
.. ..$ Height: num 80
.. ..$ Volume: num 22.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 11.3
.. ..$ Height: num 79
.. ..$ Volume: num 24.2
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.8
.. ..$ Height: num 64
.. ..$ Volume: num 24.9
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.7
.. ..$ Height: num 71
.. ..$ Volume: num 25.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 13.3
.. ..$ Height: num 86
.. ..$ Volume: num 27.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14.2
.. ..$ Height: num 80
.. ..$ Volume: num 31.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 12.9
.. ..$ Height: num 85
.. ..$ Volume: num 33.8
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14
.. ..$ Height: num 78
.. ..$ Volume: num 34.5
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 14.5
.. ..$ Height: num 74
.. ..$ Volume: num 36.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 16
.. ..$ Height: num 72
.. ..$ Volume: num 38.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 16.3
.. ..$ Height: num 77
.. ..$ Volume: num 42.6
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 18
.. ..$ Height: num 80
.. ..$ Volume: num 51.5
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.3
.. ..$ Height: num 81
.. ..$ Volume: num 55.4
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.5
.. ..$ Height: num 82
.. ..$ Volume: num 55.7
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 17.9
.. ..$ Height: num 80
.. ..$ Volume: num 58.3
..$ : tibble [1 x 3] (S3: tbl_df/tbl/data.frame)
.. ..$ Girth : num 20.6
.. ..$ Height: num 87
.. ..$ Volume: num 77
Code
trees2 <- as_unknown_rows(trees)
str(trees2, width = 70L)
Output
unknwn_r [?? x 3] (S3: unknown_rows/tbl_df/tbl/data.frame)
$ Girth : num [1:31] 8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
$ Height: num [1:31] 70 65 63 72 81 83 66 75 80 75 ...
$ Volume: num [1:31] 10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
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