mytable_sub: Produce table for descriptive statistics
In moonBook: Functions and Datasets for the Book by Keon-Woong Moon

Produce table for descriptive statistics by groups for several variables easily. Depending on the nature of these variables, different descriptive statistical methods were used(t-test, ANOVA,Kruskal-Wallis, chisq, Fisher,...)

mytable_sub(
  x,
  data,
  use.labels = TRUE,
  use.column.label = TRUE,
  max.ylev = 5,
  maxCatLevel = 20,
  digits = 1,
  method = 1,
  catMethod = 2,
  show.all = FALSE,
  exact = FALSE,
  show.total = FALSE,
  missing = FALSE
)

`x`	An object of class "formula". Left side of ~ must contain the name of one grouping variable or two grouping variables in an additive way(e.g. sex+group~), and the right side of ~ must have variables in an additive way.
`data`	A data.frame contains data for analysis
`use.labels`	Logical. Whether or not use labels.
`use.column.label`	Logical. Whether or not use column labels.
`max.ylev`	An integer indicating the maximum number of levels of grouping variable ('y'). If a column have unique values less than max.ylev it is treated as a categorical variable. Default value is 5.
`maxCatLevel`	An integer indicating the maximum number of unique levels of categorical variable. If a column have unique values more than maxCatLevel, categorical summarization will not be performed.
`digits`	An integer indicating the number of decimal places (round) or significant digits to be used. Default value is 1.
`method`	An integer indicating methods for continuous variables. Possible values in methods are 1 forces analysis as normal-distributed 2 forces analysis as continuous non-normal 3 performs a Shapiro-Wilk test to decide between normal or non-normal Default value is 1.
`catMethod`	An integer indicating methods for categorical variables. Possible values in methods are 0 Perform chisq.test first. If warning present, perform fisher test 1 Perform chisq.test without continuity correction 2 Perform chisq.test with continuity correction 3 perform fisher.test 4 perform prop.trend test Default value is 2.
`show.all`	A logical value indicating whether or not all statistical values have to be shown in table. Default value is FALSE.
`exact`	A logical value indicating whether or not permit call with approximate parameter. If true, only exact column name permitted.Default value is FALSE.
`show.total`	A logical value indicating whether or not show total group value. Default value is FALSE.
`missing`	A logical value indicating whether or not perform missing data analysis. Default value is FALSE.