# sortedXyData

##### Create a `sortedXyData`

Object

This is a constructor function for the class of `sortedXyData`

objects. These objects are mostly used in the `initial`

function for a self-starting nonlinear regression model, which will be
of the `selfStart`

class.

- Keywords
- manip

##### Usage

`sortedXyData(x, y, data)`

##### Arguments

- x
a numeric vector or an expression that will evaluate in

`data`

to a numeric vector- y
a numeric vector or an expression that will evaluate in

`data`

to a numeric vector- data
an optional data frame in which to evaluate expressions for

`x`

and`y`

, if they are given as expressions

##### Value

A `sortedXyData`

object. This is a data frame with exactly
two numeric columns, named `x`

and `y`

. The rows are
sorted so the `x`

column is in increasing order. Duplicate
`x`

values are eliminated by averaging the corresponding `y`

values.

##### See Also

`selfStart`

, `NLSstClosestX`

,
`NLSstLfAsymptote`

, `NLSstRtAsymptote`

##### Examples

`library(stats)`

```
# NOT RUN {
DNase.2 <- DNase[ DNase$Run == "2", ]
sortedXyData( expression(log(conc)), expression(density), DNase.2 )
# }
```

*Documentation reproduced from package stats, version 3.6.0, License: Part of R 3.6.0*