| tabSummarize | R Documentation | 
Tabulate a summary
tabSummarize(
  formula,
  data,
  digits = 3,
  extra.blank.line = TRUE,
  digits.categorical = 1,
  na.rm = FALSE
)
| formula | formula specifying what to summarize by what | 
| data | data to summarize | 
| digits | number of significant digits in output | 
| extra.blank.line | a logical indicating if an empty line needs to be inserted between two summaries to improve layout and legibility | 
| digits.categorical | passed to  | 
| na.rm | passed to  | 
Table with summarized data, of class demoTable
This function is primarily used for demographics tables
conDataFun1,  conDataFun2,  conDataFun3,  catDataFun,  tabStats
options(width = 150)
pkpdData = example.pkpdData()
ok = duplicated(pkpdData$id) == FALSE
tabSummarize(formula = dose ~ race + wt + bmi + sex, data = pkpdData[ok, ], digits = 3)
pkpdData$sex <- factor(pkpdData$sex, levels = c('M','F'))
tabSummarize(formula = dose ~ race + wt + bmi + sex, data = pkpdData[ok, ], digits = 3)
# check the categorical summary for race
round(table(pkpdData$race[ok], pkpdData$dose[ok]) / apply(table(pkpdData$race[ok],
pkpdData$dose[ok]), 2, sum) * 100)
# OK
myFormula =  dose ~ race + wt + bmi + sex
format(
 tabSummarize(formula = myFormula, data = pkpdData[ok, ], digits = 3)
  , formula = myFormula
)
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