We are currently writing a paper with several one-sample Wilcoxon tests. While visualizing two-sample tests is easy via *boxplots*, I was wondering whether there is any **good way to visualize one-sample test results?**

```
# Example data
pd <- c(0.80, 0.83, 1.89, 1.04, 1.45, 1.38, 1.91, 1.64,
        0.73, 1.46, 1.15, 0.88, 0.90, 0.74, 1.21)

wilcox.test(pd, mu = 1.1)

#   Wilcoxon signed rank test
#
# data:  pd
# V = 72, p-value = 0.5245
# alternative hypothesis: true location is not equal to 1.1

```

...and also:

I would like to get Z-value instead of V-value. I know that if I use `coin` package instead of basic `stats` I will have z-values, but `coin` package
seems not to be able perform one-sample Wilcoxon test.