hist.data.frame {Hmisc} | R Documentation |

## Histograms for Variables in a Data Frame

### Description

This functions tries to compute the maximum number of histograms that will fit on one page, then it draws a matrix of histograms. If there are more qualifying variables than will fit on a page, the function waits for a mouse click before drawing the next page.

### Usage

```
## S3 method for class 'data.frame'
hist(x, n.unique = 3, nclass = "compute",
na.big = FALSE, rugs = FALSE, freq=TRUE, mtitl = FALSE, ...)
```

### Arguments

`x` |
a data frame |

`n.unique` |
minimum number of unique values a variable must have before a histogram is drawn |

`nclass` |
number of bins. Default is max(2,trunc(min(n/10,25*log(n,10))/2)), where n is the number of non-missing values for a variable. |

`na.big` |
set to |

`rugs` |
set to |

`freq` |
see |

`mtitl` |
set to a character string to set aside extra outside top margin and to use the string for an overall title |

`...` |
arguments passed to |

### Value

the number of pages drawn

### Author(s)

Frank E Harrell Jr

### See Also

### Examples

```
d <- data.frame(a=runif(200), b=rnorm(200),
w=factor(sample(c('green','red','blue'), 200, TRUE)))
hist.data.frame(d) # in R, just say hist(d)
```

*Hmisc*version 5.1-3 Index]