(Deprecated) Tidy dist objects

(Deprecated) Tidy dist objects

Usage

# S3 method for class 'dist'
tidy(x, diagonal = attr(x, "Diag"), upper = attr(x, "Upper"), ...)

Arguments

x

A dist object returned from stats::dist().

diagonal

Logical indicating whether or not to tidy the diagonal elements of the distance matrix. Defaults to whatever was based to the diag argument of stats::dist().

upper

Logical indicating whether or not to tidy the upper half of the distance matrix. Defaults to whatever was based to the upper argument of stats::dist().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Two exceptions here are:

• tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

• augment() methods will warn when supplied a newdata argument if it will be ignored.

Value

A tibble::tibble with one row for each pair of items in the distance matrix, with columns:

item1

First item

item2

Second item

distance

Distance between items

Details

If the distance matrix does not include an upper triangle and/or diagonal, the tidied version will not either.

See also

Other deprecated: bootstrap(), confint_tidy(), data.frame_tidiers, finish_glance(), fix_data_frame(), summary_tidiers, tidy.density(), tidy.ftable(), tidy.numeric()

Examples

cars_dist <- dist(t(mtcars[, 1:4]))
cars_dist
#>             mpg        cyl       disp
#> cyl    89.32586                      
#> disp 1391.49546 1441.25177           
#> hp    824.37547  878.17652  656.64044

tidy(cars_dist)
#> # A tibble: 6 × 3
#>   item1 item2 distance
#>   <fct> <fct>    <dbl>
#> 1 mpg   cyl       89.3
#> 2 mpg   disp    1391. 
#> 3 mpg   hp       824. 
#> 4 cyl   disp    1441. 
#> 5 cyl   hp       878. 
#> 6 disp  hp       657. 
tidy(cars_dist, upper = TRUE)
#> # A tibble: 12 × 3
#>    item1 item2 distance
#>    <fct> <fct>    <dbl>
#>  1 mpg   cyl       89.3
#>  2 mpg   disp    1391. 
#>  3 mpg   hp       824. 
#>  4 cyl   mpg       89.3
#>  5 cyl   disp    1441. 
#>  6 cyl   hp       878. 
#>  7 disp  mpg     1391. 
#>  8 disp  cyl     1441. 
#>  9 disp  hp       657. 
#> 10 hp    mpg      824. 
#> 11 hp    cyl      878. 
#> 12 hp    disp     657. 
tidy(cars_dist, diagonal = TRUE)
#> # A tibble: 10 × 3
#>    item1 item2 distance
#>    <fct> <fct>    <dbl>
#>  1 mpg   mpg        0  
#>  2 mpg   cyl       89.3
#>  3 mpg   disp    1391. 
#>  4 mpg   hp       824. 
#>  5 cyl   cyl        0  
#>  6 cyl   disp    1441. 
#>  7 cyl   hp       878. 
#>  8 disp  disp       0  
#>  9 disp  hp       657. 
#> 10 hp    hp         0