Description Usage Arguments Value Examples

The Gaussian Interval Plot (GIplot) is a pictorial representation of the mean and the standard deviation of a quantitative variable. It also flags potential outliers (together with their frequencies) that are c standard deviations away from the mean.

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GIplot(x, ...)
## Default S3 method:
GIplot(
x,
...,
horizontal = TRUE,
names = c(),
add = FALSE,
at = 0,
valueOfc = 2.33,
axisLabel = "",
main = paste("GI Plot of ", axisLabel),
spsize = T
)
## S3 method for class 'formula'
GIplot(
formula,
dataset = NULL,
horizontal = TRUE,
names = c(),
add = FALSE,
at = 0,
valueOfc = 2.33,
axisLabel = "",
main = paste("GIPlot of ", axisLabel),
spsize = T,
...
)
``` |

`x` |
a numeric vector or a single list or a data frame |

`...` |
more numeric vectors for the GIplot |

`horizontal` |
Logical.TRUE (Default) for horizontal GIPlot and FALSE for vertical. |

`names` |
names of the sub-groups for which separate GIPlots are drawn on the same scale. |

`add` |
Logical. TRUE adds a new GIplot to the existing plot. FALSE (Default) will create a new plot. |

`at` |
If add = TRUE, the position at which the new GIplot should be placed. |

`valueOfc` |
the multiplier of sd to determine extreme bounds beyond which values are flagged as outliers. To flag alpha proportion of data in each tail use c = qnorm(1-alpha). When alpha = 0.01, c = qnorm(0.99) = 2.32 |

`axisLabel` |
label for the axis |

`main` |
title of the GIplot. |

`spsize` |
Logical. TRUE (Default) adds a sample size to the GIplot. |

`formula` |
a formula, such as x ~ grp, where x is a numeric vector of data values to be split into groups according to the grouping variable grp (usually a factor). Note that ~ g1 + g2 is equivalent to g1:g2. |

`dataset` |
a data.frame from which the variables in formula should be taken. |

displays the GIplot

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