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Create an ElementaryTable from a data.frame

Usage

df_to_tt(df)

Arguments

df

(data.frame)
a data frame.

Details

If row names are not defined in df (or they are simple numbers), then the row names are taken from the column label_name, if it exists. If label_name exists, then it is also removed from the original data. This behavior is compatible with as_result_df(), when as_is = TRUE and the row names are not unique.

See also

as_result_df() for the inverse operation.

Examples

df_to_tt(mtcars)
#>                       mpg    cyl   disp    hp    drat    wt     qsec    vs   am   gear   carb
#> —————————————————————————————————————————————————————————————————————————————————————————————
#> Mazda RX4              21     6     160    110   3.9    2.62    16.46   0    1     4      4  
#> Mazda RX4 Wag          21     6     160    110   3.9    2.875   17.02   0    1     4      4  
#> Datsun 710            22.8    4     108    93    3.85   2.32    18.61   1    1     4      1  
#> Hornet 4 Drive        21.4    6     258    110   3.08   3.215   19.44   1    0     3      1  
#> Hornet Sportabout     18.7    8     360    175   3.15   3.44    17.02   0    0     3      2  
#> Valiant               18.1    6     225    105   2.76   3.46    20.22   1    0     3      1  
#> Duster 360            14.3    8     360    245   3.21   3.57    15.84   0    0     3      4  
#> Merc 240D             24.4    4    146.7   62    3.69   3.19     20     1    0     4      2  
#> Merc 230              22.8    4    140.8   95    3.92   3.15    22.9    1    0     4      2  
#> Merc 280              19.2    6    167.6   123   3.92   3.44    18.3    1    0     4      4  
#> Merc 280C             17.8    6    167.6   123   3.92   3.44    18.9    1    0     4      4  
#> Merc 450SE            16.4    8    275.8   180   3.07   4.07    17.4    0    0     3      3  
#> Merc 450SL            17.3    8    275.8   180   3.07   3.73    17.6    0    0     3      3  
#> Merc 450SLC           15.2    8    275.8   180   3.07   3.78     18     0    0     3      3  
#> Cadillac Fleetwood    10.4    8     472    205   2.93   5.25    17.98   0    0     3      4  
#> Lincoln Continental   10.4    8     460    215    3     5.424   17.82   0    0     3      4  
#> Chrysler Imperial     14.7    8     440    230   3.23   5.345   17.42   0    0     3      4  
#> Fiat 128              32.4    4    78.7    66    4.08    2.2    19.47   1    1     4      1  
#> Honda Civic           30.4    4    75.7    52    4.93   1.615   18.52   1    1     4      2  
#> Toyota Corolla        33.9    4    71.1    65    4.22   1.835   19.9    1    1     4      1  
#> Toyota Corona         21.5    4    120.1   97    3.7    2.465   20.01   1    0     3      1  
#> Dodge Challenger      15.5    8     318    150   2.76   3.52    16.87   0    0     3      2  
#> AMC Javelin           15.2    8     304    150   3.15   3.435   17.3    0    0     3      2  
#> Camaro Z28            13.3    8     350    245   3.73   3.84    15.41   0    0     3      4  
#> Pontiac Firebird      19.2    8     400    175   3.08   3.845   17.05   0    0     3      2  
#> Fiat X1-9             27.3    4     79     66    4.08   1.935   18.9    1    1     4      1  
#> Porsche 914-2          26     4    120.3   91    4.43   2.14    16.7    0    1     5      2  
#> Lotus Europa          30.4    4    95.1    113   3.77   1.513   16.9    1    1     5      2  
#> Ford Pantera L        15.8    8     351    264   4.22   3.17    14.5    0    1     5      4  
#> Ferrari Dino          19.7    6     145    175   3.62   2.77    15.5    0    1     5      6  
#> Maserati Bora          15     8     301    335   3.54   3.57    14.6    0    1     5      8  
#> Volvo 142E            21.4    4     121    109   4.11   2.78    18.6    1    1     4      2