Convert output from classify() to matrix/data.frame/data.table

Convert output from classify() to matrix/data.frame/data.table

Usage

# S3 method for class 'classified'
as.data.frame(x, ...)

# S3 method for class 'classified'
as.data.table(x, ...)

# S3 method for class 'classified'
as.matrix(x, ...)

Arguments

x

output from classify()

...

ignored

Value

data frame/data table with:

• first column named as "id" column specified as input to classify() and with data from row.names(x)

• all columns from classified

• no row names

or simply the input matrix without additional attributes

See also

Other classcodes: all_classcodes(), classcodes, codebook(), print.classcodes(), print.classified(), set_classcodes(), summary.classcodes(), visualize.classcodes()

Examples

x <- classify(c("C80", "I20", "unvalid_code"), "elixhauser")
#> Classification based on: icd10

as.matrix(x)[, 1:3]
#>              congestive heart failure cardiac arrhythmias valvular disease
#> C80                             FALSE               FALSE            FALSE
#> I20                             FALSE               FALSE            FALSE
#> unvalid_code                    FALSE               FALSE            FALSE
as.data.frame(x)[, 1:3]
#>             id congestive heart failure cardiac arrhythmias
#> 1          C80                    FALSE               FALSE
#> 2          I20                    FALSE               FALSE
#> 3 unvalid_code                    FALSE               FALSE
data.table::as.data.table(x)[, 1:3]
#>              id congestive heart failure cardiac arrhythmias
#>          <char>                   <lgcl>              <lgcl>
#> 1:          C80                    FALSE               FALSE
#> 2:          I20                    FALSE               FALSE
#> 3: unvalid_code                    FALSE               FALSE

# `as_tibble()` works automatically due to internal use of `as.data.frame()`.
tibble::as_tibble(x)
#> # A tibble: 3 × 31
#>   `congestive heart failure` `cardiac arrhythmias` `valvular disease`
#>   <classifd>                 <classifd>            <classifd>        
#> 1 FALSE                      FALSE                 FALSE             
#> 2 FALSE                      FALSE                 FALSE             
#> 3 FALSE                      FALSE                 FALSE             
#> # ℹ 28 more variables: `pulmonary circulation disorder` <classifd>,
#> #   `peripheral vascular disorder` <classifd>,
#> #   `hypertension uncomplicated` <classifd>,
#> #   `hypertension complicated` <classifd>, paralysis <classifd>,
#> #   `other neurological disorders` <classifd>,
#> #   `chronic pulmonary disease` <classifd>,
#> #   `diabetes uncomplicated` <classifd>, `diabetes complicated` <classifd>, …