covsum: Returns a dataframe corresponding to a descriptive table
In Avery-Lisa/myReportRx: Adaptation on ReportRx for Markdown

Description Usage Arguments Value See Also

Returns a dataframe corresponding to a descriptive table

covsum(
  data,
  covs,
  maincov = NULL,
  digits = 1,
  numobs = NULL,
  markup = TRUE,
  sanitize = TRUE,
  nicenames = TRUE,
  IQR = FALSE,
  digits.cat = 0,
  testcont = c("rank-sum test", "ANOVA"),
  testcat = c("Chi-squared", "Fisher"),
  showTests = T,
  excludeLevels = NULL
)

`data`	dataframe containing data
`covs`	character vector with the names of columns to include in table
`maincov`	covariate to stratify table by
`digits`	the number of digits to round continuous variables to, defaults to 1
`numobs`	named list overriding the number of people you expect to have the covariate
`markup`	boolean indicating if you want latex markup
`sanitize`	boolean indicating if you want to sanitize all strings to not break LaTeX
`nicenames`	booling indicating if you want to replace . and _ in strings with a space
`IQR`	boolean indicating if you want to display the inter quantile range (Q1,Q3) as opposed to (min,max) in the summary for continuous variables
`digits.cat`	number of digits for the proportions when summarizing categorical data (default: 0)
`testcont`	test of choice for continuous variables, one of rank-sum (default) or ANOVA
`testcat`	test of choice for categorical variables, one of Chi-squared (default) or Fisher
`showTests`	boolean indicating if the type of statistical used should be shown in a column
`excludeLevels`	a named list of levels to exclude in the form list(varname =c('level1','level2')) these levels will be excluded from association tests