mets (version 1.2.4)

dtable: tables for data frames

Description

tables for data frames

Usage

dtable(data, y = NULL, x = NULL, ..., level = -1, response = NULL,
  flat = TRUE, total = FALSE, prop = FALSE, summary = NULL)

Arguments

data

if x is formula or names for data frame then data frame is needed.

y

name of variable, or fomula, or names of variables on data frame.

x

name of variable, or fomula, or names of variables on data frame.

...

Optional additional arguments

level

1 for all marginal tables, 2 for all 2 by 2 tables, and null for the full table, possible versus group variable

response

For level=2, only produce tables with columns given by 'response' (index)

flat

produce flat tables

total

add total counts/proportions

prop

Proportions instead of counts (vector of margins)

summary

summary function

Examples

# NOT RUN {
data("sTRACE",package="timereg")

dtable(sTRACE,~status)
dtable(sTRACE,~status+vf)
dtable(sTRACE,~status+vf,level=1)
dtable(sTRACE,~status+vf,~chf+diabetes)

dtable(sTRACE,c("*f*","status"),~diabetes)
dtable(sTRACE,c("*f*","status"),~diabetes, level=2)
dtable(sTRACE,c("*f*","status"),level=1)

dtable(sTRACE,~"*f*"+status,level=1)
dtable(sTRACE,~"*f*"+status+I(wmi>1.4)|age>60,level=2)
dtable(sTRACE,"*f*"+status~I(wmi>0.5)|age>60,level=1)
dtable(sTRACE,status~dcut(age))

dtable(sTRACE,~status+vf+sex|age>60)
dtable(sTRACE,status+vf+sex~+1|age>60, level=2)
dtable(sTRACE,.~status+vf+sex|age>60,level=1)
dtable(sTRACE,status+vf+sex~diabetes|age>60)
dtable(sTRACE,status+vf+sex~diabetes|age>60, flat=FALSE)

dtable(sTRACE,status+vf+sex~diabetes|age>60, level=1)
dtable(sTRACE,status+vf+sex~diabetes|age>60, level=2)

dtable(sTRACE,status+vf+sex~diabetes|age>60, level=2, prop=1, total=TRUE)
dtable(sTRACE,status+vf+sex~diabetes|age>60, level=2, prop=2, total=TRUE)
dtable(sTRACE,status+vf+sex~diabetes|age>60, level=2, prop=1:2, summary=summary)

# }