onesamp {DAAG} | R Documentation |

## Paired Sample t-test

### Description

This function performs a t-test for the mean difference for paired data, and produces a scatterplot of one column against the other column, showing whether there was any benefit to using the paired design.

### Usage

```
onesamp(dset, x="unsprayed", y="sprayed", xlab=NULL, ylab=NULL,
dubious=NULL, conv=NULL, dig=2, ...)
```

### Arguments

`dset` |
a matrix or dataframe having two columns |

`x` |
name of column to play the role of the ‘predictor’ |

`y` |
name of column to play the role of the ‘response’ |

`xlab` |
horizontal axis label |

`ylab` |
vertical axis label |

`dubious` |
vector of logical ( |

`conv` |
scaling factor that should be applied to data |

`dig` |
round SE to this number of digits for dispplay on graph |

`...` |
Further arguments, to be passed to |

### Value

A scatterplot of `y`

against `x`

together with estimates
of standard errors and standard errors of the difference
(`y`

-`x`

).

Also produced is a confidence interval and p-value for the test.

### Author(s)

J.H. Maindonald

### Examples

```
onesamp(dset = pair65, x = "ambient", y = "heated", xlab =
"Amount of stretch (ambient)", ylab =
"Amount of stretch (heated)")
```

*DAAG*version 1.25.6 Index]