bbcounttab: bbcounttab

In biobits/bbreportr: Helpers for crosstables, graphics and little function for fast reporting with knitr and markdown

Description

not done yet. But soon.

Usage

bbcounttab(
  row = NULL,
  col = NULL,
  data,
  uniquecounts = NULL,
  caption = NULL,
  percs = TRUE,
  total = TRUE,
  dec = 1,
  split.tables = 300,
  margin = 3,
  table.continues = "Tabelle wird fortgesetzt",
  sortcounts = TRUE,
  split.cells = 30,
  ucol.name = "Patienten [n/(%)]"
)

Arguments

row	vector containing factors for row
col	vector containing factors for columns
data	the dataframe to get the values from
uniquecounts	only unique counts
caption	caption of table
percs	if TRUE percentage of row or column are displayed (default=TRUE)
total	sum of columns and rows (default= TRUE)
dec	decimal points (default =1)
split.tables	where to split wide tables to separate tables. The default value is 300 characters
margin	index, or vector of indices to generate margin for
table.continues	string (default: 'Tabelle wird fortgesetzt') passed to pandoc.table to be used as caption for long (split) without a use defined caption
sortcounts	if TRUE rows will be sorted descendent by counts
split.cells	where to split cells' text with line breaks. Default to 30, to disable set to Inf. Can be also supplied as a vector, for each cell separately (if length(split.cells) == number of columns + 1, then first value in split.cells if for row names, and others are for columns). Supports relative (percentage) parameters in combination with split.tables.
ucol.name	title of counted values default is "Patienten n/(%)"

Details

Creates a Crosstable in Markdown format with 2 dimensions and one variable for a unique counting

Author(s)

Stefan Bartels, [e-mail]

Examples

## Not run: 
PatientCohort<-c("CohortA","CohortA","CohortA","CohortB","CohortB","CohortB",
    "CohortB","CohortB","CohortB","CohortC","CohortC","CohortC","CohortC")
PatientClass<-c("ClassA","ClassB","ClassB","ClassC","ClassA","ClassC",
    "ClassA","ClassB","ClassA","ClassC","ClassA","ClassA","ClassA")
df<-as.data.frame(cbind(PatientCohort,PatientClass))
tab<-bbcounttab(row="PatientCohort",col="PatientClass",data=df,total=T,perc=T
                 ,dec=2,ucol.name="Classes")
tab

## End(Not run)

biobits/bbreportr documentation built on Dec. 26, 2021, 6:43 a.m.