tabEpiPrev: Epidemiologic Prevalence Table (data frame)
In madlogos/asesrpt: ASES Analytic Toolkit on Reporting

Description Usage Arguments Value Author(s) See Also

Draw an prevalence table with raw data combining with summarized data, in addition with table controlling parameters.

tabEpiPrev(data, imput = NULL, rowvar, colvar, riskvar, neg = "0",
  margins = NULL, lang = c("cn", "en"), cols = c("npos", "ntotal",
  "percent"), pct.digits = 0, colvar.together = FALSE,
  empty.cols = FALSE, na.string = .pkgPara()$na.string,
  sort = list(col = 1, desc = FALSE), col.levels = NULL, ...)

`data`	Raw dataset
`imput`	Summarized data set
`rowvar`	The variable used as rows
`colvar`	The variable used as columns
`riskvar`	The risk variable
`neg`	Define which value represents negative. Default is 0.
`margins`	Refer to margins argument in `reshape2::dcast`
`lang`	language, "cn" or "en".
`cols`	A vector. Which elements are to be included. Default is `c("npos", "ntotal", "percent")`: number of positives, number of total, percent.
`pct.digits`	Number of digits shown in percentages. If `pct.digits`==NULL, then the function does not coerce prevalence rates to percents.
`colvar.together`	Logical.
`empty.cols`	Logical. If TRUE, empty columns will be added in the table to separate columns sectors.
`na.string`	A named vector `c(cn=..., en=...)`. How to present NAs when `lang` is 'cn' or 'en'. Default `.pkgPara()$na.string`.
`sort`	Sorting standard. If `sort`=list(col=1, desc=FALSE), then the function sorts the data ascendingly by Col1. If `sort`=list(col=3, desc=TRUE), the function sorts the data descendingly by Col3. You can also directly assign a vector, e.g. list(col=1, val=1:4)
`col.levels`	A vector re-defining the factor level of the variable to be put as the column. Default null.
`...`