Description: Functions for creating demographic table with simple summary
statistics, with optional comparison(s) over one or more groups.  Numeric
variables are summarized in means, standard deviations, medians,
inter-quartile-ranges (IQR), skewness, Shapiro-Wilk normality test and
ranges, and compared using two-sample t-test, Wilcoxon test, ANOVA and/or
Kruskal-Wallis test.  Logical and factor variables are summarized in
counts and percentages and compared using chi-squared test and/or Fisher's
Authors@R: c(person(given = 'Tingting', family = 'Zhan', role = c('aut', 'cre',

statistics, with optional comparison(s) over one or more groups.
Numeric variables are summarized in means, standard deviations,
medians, inter-quartile-ranges (IQR), skewness, Shapiro-Wilk
normality test and ranges, and compared using two-sample t-test,
Wilcoxon test, ANOVA and/or Kruskal-Wallis test.  Logical and
factor variables are summarized in counts and percentages and
compared using chi-squared test and/or Fisher's exact test.
Authors@R: c(person(given = 'Tingting', family = 'Zhan', role = c('aut',
'cre', 'cph'), email = c('tingtingzhan@gmail.com')))

Wilcoxon test, ANOVA and/or Kruskal-Wallis test.  Logical and factor
variables are summarized in counts and percentages and compared
using chi-squared test and/or Fisher's exact test.

Description: Functions for creating demographic table with
simple summary statistics, with optional
comparison(s) over one or more groups.  Numeric
variables are summarized in means, standard
skewness, Shapiro-Wilk normality test and ranges,
and compared using two-sample t-test, Wilcoxon test,
ANOVA and/or Kruskal-Wallis test.  Logical and
factor variables are summarized in counts and
percentages and compared using chi-squared test
Authors@R: c(person(given = 'Tingting', family = 'Zhan',
Packaged: 2022-06-13 01:39:44 UTC; tingtingzhan

skewness, Shapiro-Wilk normality test and ranges, and compared
using two-sample t-test, Wilcoxon test, ANOVA and/or
Kruskal-Wallis test.  Logical and factor variables are
summarized in counts and percentages and compared using
c('aut', 'cre', 'cph'), email = c('tingtingzhan@gmail.com')))