Description Usage Arguments Value

View source: R/elaborator_plot_quant_trends.R

Generate boxplots showing the distribution of laboratory values at each visits of a study separately by treatment group and laboratory parameter according to the quantitative trend analysis.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
elaborator_plot_quant_trends(
dat1,
signtest = TRUE,
Visit1,
Visit2,
sameaxes = FALSE,
ats = NULL,
cols = NULL,
labelvis = NULL,
labcolumn,
sortpoints = FALSE,
pcutoff = 0.01,
cexoutliers = 0.7,
infotest = NULL,
sortinput = as.character(unique(dat1[, labcolumn])),
bordercol = NULL,
add_points = TRUE,
connect_lines = FALSE
)
``` |

`dat1` |
data set |

`signtest` |
logical, if true sign test, otherwise t-test for comparing Visit1 and Visit2 is performed |

`Visit1` |
name of visit time point one |

`Visit2` |
name of visit time point two, or vector of visit names for pairwise comparison to Visit1 |

`sameaxes` |
logical indicating if boxplot should have the same y-axis range for all treatment groups within a laboratory parameter |

`ats` |
numeric vector giving the locations where the boxplots should be drawn; defaults to 1:n where n is the number of boxplots. |

`cols` |
vector with colors of boxplots |

`labelvis` |
vector of visit names used for labelling |

`labcolumn` |
column name of dat1 which includes the laboratory parameter names |

`sortpoints` |
logical indicating if dots in boxplots should be sorted from smallest to largest |

`pcutoff` |
numeric for p-value threshold; if p-value of specified test is below this threshold, the background of the respective plot is colorized. |

`cexoutliers` |
size of the outliers |

`infotest` |
list object from the perform test function |

`sortinput` |
vector of laboratory parameter names in the order in which laboratory parameters are presented in the output |

`bordercol` |
color of boxes which are not selected for hypothesis testing |

`add_points` |
logical indicating if points showing patients' values should be added to the boxplots |

`connect_lines` |
logical indicating if subject values should be connected between visits via lines |

No return value. Generates plots for the quantitative trends analysis.

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