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+\docType{package}
+\name{tableone-package}
+\alias{tableone}
+\alias{tableone-package}
+\title{Create "Table 1" to describe baseline characteristics}
+\description{
+Table 1, i.e., description of baseline patient
+characteristics is essential every medical research. This
+package provides functions to create such summaries for
+continuous and categorical variables, optionally with
+subgroups and groupwise comparison. The package was
+insipired by descriptive statistics functions in Deducer,
+Java-based GUI package. This package does not require GUI
+or Java, and intended for CUI users.
+}
+\details{
+\tabular{ll}{ Package: \tab tableone\cr Type: \tab
+Package\cr Version: \tab 0.1.1\cr Date: \tab 2014-02-08\cr
+License: \tab GPL-2\cr } Create an object summarizing
+continous and categorical variables optionally stratifying
+by one or more startifying variables and performing
+statistical tests. The object gives a table that is easy to
+use in medical research papers. Continuous variables are
+handled by CreateContTable, and categorical variables are
+handled by CreateCatTable.
+}
+\note{
+Special Thanks:
+
+This package was inspired by and based on the Deducer
+package.
+
+Developmental repository is on github. Your contributions
+are appreciated.
+
+https://github.com/kaz-yos/tableone
+}
+\examples{
+## Load
+library(tableone)
+
+## Load Mayo Clinic Primary Biliary Cirrhosis Data
+library(survival)
+data(pbc)
+## Check variables
+head(pbc)
+
+## Create an overall table for categorical variables
+catVars <- c("status","ascites","hepato","spiders","edema","stage")
+catTableOverall <- CreateCatTable(vars = catVars, data = pbc)
+
+## Simply typing the object name will invoke the print.CatTable method,
+## which will show the sample size, frequencies and percentages.
+## For 2-level variables, only the higher level is shown for simplicity.
+catTableOverall
+
+## Create an overall table for continuous variables
+contVars <- c("time","age","bili","chol","albumin","copper","alk.phos","ast",
+              "trig","platelet","protime")
+contTableOverall <- CreateContTable(vars = contVars, data = pbc)
+
+## Simply typing the object name will invoke the print.ContTable method,
+## which will show the sample size, means and standard deviations.
+contTableOverall
+}
+\author{
+Kazuki Yoshida
+
+Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>
+}
+