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[Experimental]

Uso

ftc_grupos_edad(tbl, breaks = 10, labels = NULL)

ftc_compute_grupos_edad(tbl, breaks = 10, labels = NULL)

Argumentos

tbl

data.frame: Conexión a base de datos o data.frame con los datos

breaks

Puntos de corte para la variable. Vea See also para más detalles.

labels

Nombres para los grupos de la variable. Vea See also para más detalles.

Valor

data.frame: Los datos suministrados en el argumento tbl con la variable grupos_edad adicionada.

Detalles

Divide la variable EDAD en el número o los grupos especificados.

Ver también

Vea Dmisc::cut3

Ejemplos

  encft <- data.frame(EDAD = c(0:100))
  ftc_grupos_edad(encft)
#>     EDAD grupos_edad
#> 1      0   (-0.1,10]
#> 2      1   (-0.1,10]
#> 3      2   (-0.1,10]
#> 4      3   (-0.1,10]
#> 5      4   (-0.1,10]
#> 6      5   (-0.1,10]
#> 7      6   (-0.1,10]
#> 8      7   (-0.1,10]
#> 9      8   (-0.1,10]
#> 10     9   (-0.1,10]
#> 11    10   (-0.1,10]
#> 12    11     (10,20]
#> 13    12     (10,20]
#> 14    13     (10,20]
#> 15    14     (10,20]
#> 16    15     (10,20]
#> 17    16     (10,20]
#> 18    17     (10,20]
#> 19    18     (10,20]
#> 20    19     (10,20]
#> 21    20     (10,20]
#> 22    21     (20,30]
#> 23    22     (20,30]
#> 24    23     (20,30]
#> 25    24     (20,30]
#> 26    25     (20,30]
#> 27    26     (20,30]
#> 28    27     (20,30]
#> 29    28     (20,30]
#> 30    29     (20,30]
#> 31    30     (20,30]
#> 32    31     (30,40]
#> 33    32     (30,40]
#> 34    33     (30,40]
#> 35    34     (30,40]
#> 36    35     (30,40]
#> 37    36     (30,40]
#> 38    37     (30,40]
#> 39    38     (30,40]
#> 40    39     (30,40]
#> 41    40     (30,40]
#> 42    41     (40,50]
#> 43    42     (40,50]
#> 44    43     (40,50]
#> 45    44     (40,50]
#> 46    45     (40,50]
#> 47    46     (40,50]
#> 48    47     (40,50]
#> 49    48     (40,50]
#> 50    49     (40,50]
#> 51    50     (40,50]
#> 52    51     (50,60]
#> 53    52     (50,60]
#> 54    53     (50,60]
#> 55    54     (50,60]
#> 56    55     (50,60]
#> 57    56     (50,60]
#> 58    57     (50,60]
#> 59    58     (50,60]
#> 60    59     (50,60]
#> 61    60     (50,60]
#> 62    61     (60,70]
#> 63    62     (60,70]
#> 64    63     (60,70]
#> 65    64     (60,70]
#> 66    65     (60,70]
#> 67    66     (60,70]
#> 68    67     (60,70]
#> 69    68     (60,70]
#> 70    69     (60,70]
#> 71    70     (60,70]
#> 72    71     (70,80]
#> 73    72     (70,80]
#> 74    73     (70,80]
#> 75    74     (70,80]
#> 76    75     (70,80]
#> 77    76     (70,80]
#> 78    77     (70,80]
#> 79    78     (70,80]
#> 80    79     (70,80]
#> 81    80     (70,80]
#> 82    81     (80,90]
#> 83    82     (80,90]
#> 84    83     (80,90]
#> 85    84     (80,90]
#> 86    85     (80,90]
#> 87    86     (80,90]
#> 88    87     (80,90]
#> 89    88     (80,90]
#> 90    89     (80,90]
#> 91    90     (80,90]
#> 92    91    (90,100]
#> 93    92    (90,100]
#> 94    93    (90,100]
#> 95    94    (90,100]
#> 96    95    (90,100]
#> 97    96    (90,100]
#> 98    97    (90,100]
#> 99    98    (90,100]
#> 100   99    (90,100]
#> 101  100    (90,100]