Description Usage Arguments Value Author(s) Examples

View source: R/MadeyskiKitchenhamMetaAnalysis.R

95 The procedure is based on finding the upper and lower 0.025 bounds for the related t-variable. The t-variable needs to be adjusted for bias by multiplying by c The upper and lower bounds on the t-variable are then used to calculate to upper and lower bounds on the repeated measures effect size (d_RM) by multiplying the upper and lower bound of the t-variable by sqrt((n1+n2)/(2*(n1*n2))). Upper and lower bounds on the equivalent independent groups effect size (d_IG) are found by multiplying the upper and lower bounds on d_RM by sqrt(1-r).

1 2 | ```
effectSizeCI(expDesign, t, n1, n2, r = 0, epsilon = 1e-10,
maxsteps = 1000, stepsize = 3)
``` |

`expDesign` |
Experimental design: 1) crossover repeated measures ("CrossOverRM"), 2) before-after repeated measures (expDesign=="BeforeAfterRM"), 3) independent groups ("IG) |

`t` |
t-statistics (t must be less than or equal to 37.62, the limit from the R function documentation) |

`n1` |
The number of observations in sequence group 1 (expDesign=="CrossOverRM"), the number of observations in group 1 (expDesign=="IG"), or the total number of observations (expDesign=="BeforeAfterRM") |

`n2` |
The number of observations in sequence group 2 (expDesign=="CrossOverRM") or the number of observations in group 2 (expDesign=="IG") |

`r` |
The correlation between outcomes for individual subject (the within subject correlation) |

`epsilon` |
The precision of the iterative procedure |

`maxsteps` |
The maximum number of steps of the iterative procedure (the procedure terminates at maxsteps or earlier if CI with enough precision have been calculated) |

`stepsize` |
The size of steps (influences the convergence of the calculations, i.e., the number of steps required to obtain the final result of precision defined by the epsilon) |

A list of Confidence Intervals for: t-statistic (t_LB and t_UB), repeated-measures effect size d_RM (d_RM_LB, d_RM_UB), independent groups effect size (d_IG_LB, d_IG_UB)

Lech Madeyski and Barbara Kitchenham

1 2 3 4 5 | ```
effectSizeCI(expDesign="CrossOverRM", t=14.4, n1=15, n2=15, r=0.6401)
effectSizeCI(expDesign = "BeforeAfterRM", t=14.16536, n1=15, n2=0, r=0.6146771)
effectSizeCI(expDesign = "IG", t=-6.344175, n1=15, n2=15)
effectSizeCI(expDesign="CrossOverRM", t=0.5581, n1=6, n2=6, r=0.36135)
effectSizeCI(expDesign = "CrossOverRM", r=0.855,t=4.33, n1=7, n2=6)
``` |

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