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To assess the fit of right-truncated meta-analysis and possible violations of its distributional assumptions, plots the fitted cumulative distribution function (CDF) of the published nonaffirmative estimates versus their empirical CDF. If the points do not adhere fairly closely to a 45-degree line, the right-truncated meta-analysis may not fit adequately.

Usage

rtma_qqplot(rtma)

Arguments

rtma

Output of phacking_meta().

Value

A ggplot2 object representing quantile-quantile plot.

Examples

# \donttest{
money_priming_rtma <- phacking_meta(money_priming_meta$yi,
                                    money_priming_meta$vi,
                                    parallelize = FALSE)
#> 
#> SAMPLING FOR MODEL 'phacking_rtma' NOW (CHAIN 1).
#> Chain 1: 
#> Chain 1: Gradient evaluation took 0.000404 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.04 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1: 
#> Chain 1: 
#> Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
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#> Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
#> Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
#> Chain 1: 
#> Chain 1:  Elapsed Time: 4.61 seconds (Warm-up)
#> Chain 1:                3.602 seconds (Sampling)
#> Chain 1:                8.212 seconds (Total)
#> Chain 1: 
#> 
#> SAMPLING FOR MODEL 'phacking_rtma' NOW (CHAIN 2).
#> Chain 2: 
#> Chain 2: Gradient evaluation took 0.000351 seconds
#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 3.51 seconds.
#> Chain 2: Adjust your expectations accordingly!
#> Chain 2: 
#> Chain 2: 
#> Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
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#> Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
#> Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
#> Chain 2: 
#> Chain 2:  Elapsed Time: 4.118 seconds (Warm-up)
#> Chain 2:                3.184 seconds (Sampling)
#> Chain 2:                7.302 seconds (Total)
#> Chain 2: 
#> 
#> SAMPLING FOR MODEL 'phacking_rtma' NOW (CHAIN 3).
#> Chain 3: 
#> Chain 3: Gradient evaluation took 0.000345 seconds
#> Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 3.45 seconds.
#> Chain 3: Adjust your expectations accordingly!
#> Chain 3: 
#> Chain 3: 
#> Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
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#> Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
#> Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
#> Chain 3: 
#> Chain 3:  Elapsed Time: 4.073 seconds (Warm-up)
#> Chain 3:                2.923 seconds (Sampling)
#> Chain 3:                6.996 seconds (Total)
#> Chain 3: 
#> 
#> SAMPLING FOR MODEL 'phacking_rtma' NOW (CHAIN 4).
#> Chain 4: 
#> Chain 4: Gradient evaluation took 0.000341 seconds
#> Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 3.41 seconds.
#> Chain 4: Adjust your expectations accordingly!
#> Chain 4: 
#> Chain 4: 
#> Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
#> Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
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#> Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
#> Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
#> Chain 4: 
#> Chain 4:  Elapsed Time: 4.646 seconds (Warm-up)
#> Chain 4:                3.278 seconds (Sampling)
#> Chain 4:                7.924 seconds (Total)
#> Chain 4: 
rtma_qqplot(money_priming_rtma)

# }