prAddDescStats: Add a p-value column to the results
In Gmisc: Descriptive Statistics, Transition Plots, and More

prAddDescStats

R Documentation

Add a p-value column to the results

Add a p-value column to the results

prAddDescStats(
  results,
  x,
  by,
  statistics,
  statistics.suppress_warnings,
  statistics.sig_lim,
  statistics.two_dec_lim,
  html
)

`results`	The results that we want to add the column to
`x`	If a data.frame it will be used as the data source for the variables in the `...` parameter. If it is a single variable it will be the core value that want the statistics for. In the print this is equivalent to the output of this function.
`by`	The variable that you want to split into different columns
`statistics`	Add statistics, fisher test for proportions and Wilcoxon for continuous variables. See details below for more customization.
`statistics.suppress_warnings`	Hide warnings from the statistics function.
`statistics.sig_lim`	The significance limit for < sign, i.e. p-value 0.0000312 should be < 0.0001 with the default setting.
`statistics.two_dec_lim`	The limit for showing two decimals. E.g. the p-value may be 0.056 and we may want to keep the two decimals in order to emphasize the proximity to the all-mighty 0.05 p-value and set this to `10^-2`. This allows that a value of 0.0056 is rounded to 0.006 and this makes intuitive sense as the 0.0056 level as this is well below the 0.05 value and thus not as interesting to know the exact proximity to 0.05. Disclaimer: The 0.05-limit is really silly and debated, unfortunately it remains a standard and this package tries to adapt to the current standards in order to limit publication associated issues.
`html`	If HTML compatible output should be used. If `FALSE` it outputs LaTeX formatting