# Normal plot

### Description

function to generate a normal plot of the factor effects for an object of class `facDesign`

.

### Usage

1 2 3 |

### Arguments

`fdo` |
object of class |

`threeWay` |
‘TRUE’/‘FALSE’ plot three-way or higher interactions. By default |

`na.last` |
By default set to ‘NA’. |

`alpha` |
alpha for marking interactions. |

`response` |
response variable. If the response data frame of fdo consists of more then one responses, |

`sig.col` |
vector - colors for marking significant interactions. By default |

`sig.pch` |
vector - point characters for marking significant interactions. By default |

`main` |
graphical parameter. A main title for the plot, see also |

`ylim` |
graphical parameter. The y limits of the plot. |

`xlim` |
graphical parameter. The x limits (x1, x2) of the plot. Note that x1 > x2 is allowed and leads to a ‘reversed axis’. |

`xlab` |
graphical parameter. A label for the x axis, defaults to a description of x. |

`ylab` |
graphical parameter. A label for the y axis, defaults to a description of y. |

`pch` |
graphical parameter. Vector containing numerical values or single characters giving plotting points for the different factors. |

`col` |
graphical parameter. Single numerical value or character string giving the color for the points. |

`border` |
graphical parameter. Single numerical value or character string giving the color of the border line. |

`...` |
further graphical parameters see |

### Details

If the given facDesign object `fdo`

contains replicates this function will deliver a normal plot

i.e.: effects divided by the standard deviation (t-value) will be plotted against an appropriate probability

scaling (see: `ppoints`

).

If the given facDesign object `fdo`

contains no replications the standard error can not be calculated.

In that case the function will deliver an effect plot.

i.e.: the effects will be plotted against an appropriate probability scaling. (see: `ppoints`

).

### Value

NULL

### Note

For a more detailed example which shows the usage of `normalPlot()`

in context please read the vignette for the package
`qualityTools`

at http://www.r-qualitytools.org/html/Improve.html.

### Author(s)

Thomas Roth thomas.roth@tu-berlin.de

### See Also

`facDesign`

`paretoPlot`

http://www.r-qualitytools.org/html/Improve.html

### Examples

1 2 3 4 5 6 7 8 9 10 | ```
#factorial design
fdo = facDesign(k=3, replicates = 2)
#seed for random numbers
set.seed(123)
#random numbers
y = rnorm(nrow(fdo))
#set the response
response(fdo) = y
#create a normal plot
normalPlot(fdo)
``` |

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