using {admisc} | R Documentation |

## Evaluate an expression in a data environment

### Description

A function almost identical to the base function `with()`

, but allowing
to evaluate the expression in every subset of a split file.

### Usage

```
using(data, expr, split.by = NULL, ...)
```

### Arguments

`data` |
A data frame. |

`expr` |
Expression to evaluate |

`split.by` |
A factor variable from the |

`...` |
Other internal arguments. |

### Value

A list of results, or a matrix if each separate result is a vector.

### Author(s)

Adrian Dusa

### Examples

```
set.seed(123)
DF <- data.frame(
Area = factor(sample(c("Rural", "Urban"), 123, replace = TRUE)),
Gender = factor(sample(c("Female", "Male"), 123, replace = TRUE)),
Age = sample(18:90, 123, replace = TRUE),
Children = sample(0:5, 123, replace = TRUE)
)
# table of frequencies for Gender
table(DF$Gender)
# same with
using(DF, table(Gender))
# same, but split by Area
using(DF, table(Gender), split.by = Area)
# calculate the mean age by gender
using(DF, mean(Age), split.by = Gender)
# same, but select cases from the urban area
using(subset(DF, Area == "Urban"), mean(Age), split.by = Gender)
# mean age by gender and area
using(DF, mean(Age), split.by = Area & Gender)
# same with
using(DF, mean(Age), split.by = c(Area, Gender))
# average number of children by Area
using(DF, mean(Children), split.by = Area)
# frequency tables by Area
using(DF, table(Children), split.by = Area)
```

[Package

*admisc*version 0.35 Index]