Description Usage Arguments Author(s) Examples

View source: R/fig_PharmPow_crossover.r

This funcion enables the figure customisation for power calculations of a mixed crossover study design

1 2 3 4 5 6 | ```
fig_PharmPow_crossover(data, power = 80,
colorabove = "black", colorbelow = "red",
designAlab = "Number of patients sampling design A",
designBlab = "Number of patients sampling design B",
zaxeslab = "power (%)",
axessize = 1, labsize = 1)
``` |

`data` |
The .csv file containing the numerical results from power calculations for a crossover design can be defined here |

`power` |
The target power for the study designs can be defined here (default is 80%) |

`colorabove` |
The color for designs above the set target can be defined here (default is black) |

`colorbelow` |
The color for designs below the set target can be defined here (default is red) |

`designAlab` |
The label for design A can be defined here (default is "Number of patients sampling design A"") |

`designBlab` |
The label for design B can be defined here (default is "Number of patients sampling design B") |

`zaxeslab` |
The label for z-axes can be defined here (default is "power (%)") |

`axessize` |
The relative size of the axes can be defined here (default is 1.0) |

`labsize` |
The relative size of the labels can be defined here (default is 1.0) |

Frank Kloprogge & Joel Tarning

1 2 3 4 5 6 7 8 9 | ```
# Customised figure for a crossover study design
fig_PharmPow_crossover(data=system.file("extdata","Cross_results.csv",
package="PharmPow"),
power = 80,
colorabove = "green", colorbelow = "red",
designAlab = "Number of patients with design A",
designBlab = "Number of patients with design B",
zaxeslab = "power (percent)",
axessize = 1.2, labsize = 1.2)
``` |

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