Description Usage Arguments Details Value Author(s) References See Also Examples

Summarize the characteristics of variables (columns) in a data frame.

1 | ```
whatis(x, var.name.truncate = 20, type.truncate = 14)
``` |

`x` |
a data frame |

`var.name.truncate` |
maximum length (in characters) for truncation of variable names. The default is 20; anything less than 12 is less than the column label in the resulting data frame and is a waste of information. |

`type.truncate` |
maximum length (in characters) for truncation of
variable type; |

The function `whatis()`

provides a basic examination of some
characteristics of each variable (column) in a data frame.

A list of characteristics describing the variables in the data
frame, `x`

. Each component of the list has `length(x)`

values, one for each variable in the data frame `x`

.

- variable.name
from the

`names(x)`

attribute, possibly truncated to`var.name.truncate`

characters in length.- type
the possibilities include

`"pure factor"`

,`"mixed factor"`

,`"ordered factor"`

,`"character"`

, and`"numeric"`

;`whatis()`

considers the possibility that a factor or a vector could contain character and/or numeric values. If both character and numeric values are present, and if the variable is a factor, then it is called a mixed factor. If the levels of a factor are purely character or numeric (but not both), it is a pure factor. Non-factors must then be either character or numeric.- missing
the number of

`NA`

s in the variable.- distinct.values
the number of distinct values in the variable, equal to

`length(table(variable))`

.- precision
the number of decimal places of precision.

- min
the minumum value (if numeric) or first value (alphabetically) as appropriate.

- max
the maximum value (if numeric) or the last value (alphabetically) as appropriate.

John W. Emerson, Walton Green

Special thanks to John Hartigan and the students of
'Statistical Case Studies' of 2004 for their help troubleshooting
and developing the function `whatis()`

.

See also `str`

.

1 2 3 4 5 6 7 8 9 |

```
Loading required package: grid
variable.name type missing distinct.values precision
1 a numeric 0 100 1e-17
2 b pure factor 0 2 NA
3 c mixed factor 0 3 NA
4 d character 0 2 NA
min max
1 -2.44764194003561 1.86091987061526
2 Cat Dog
3 8 Orange
4 Blue Red
variable.name type missing distinct.values precision min max
1 Sepal.Length numeric 0 35 0.1 4.3 7.9
2 Sepal.Width numeric 0 23 0.1 2 4.4
3 Petal.Length numeric 0 43 0.1 1 6.9
4 Petal.Width numeric 0 22 0.1 0.1 2.5
5 Species pure factor 0 3 NA setosa virginica
```

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