tsum2: Table Summary 2 independent(x) variables

In sasLM: 'SAS' Linear Model

Table Summary 2 independent(x) variables

Description

Summarize a continuous dependent(y) variable with two independent(x) variables.

Usage

  tsum2(d, y, l, u, e=c("Mean", "SD", "N"), h=NULL, ol="", ou="", rm.dup=TRUE, 
        repl=list(c("length"), c("n")))

Arguments

d	a data.frame or matrix with colnames
y	y variable name. a continuous variable
l	x variable name to be shown on the left side
u	x variable name to be shown on the upper side
e	a vector of summarize function names
h	a vector of summarize function names for the horizontal subgroup. If NULL, it becomes the same as e argument.
ol	order of levels of left side x variable
ou	order of levels of upper side x variable
rm.dup	if TRUE, duplicated names of levels are specified on the first occurrence only.
repl	list of strings to replace after summarize. The length of list should be 2, and both should have the same length.

Details

A convenient summarization function for a continuous variable with two x variables; one on the left side, the other on the upper side.

Value

A data.frame of summarized values. Column names are from the levels of u. Row names are basically from the levels of l.

Author(s)

Kyun-Seop Bae [e-mail]

See Also

tsum, tsum0, tsum1, tsum3

Examples

  tsum2(CO2, "uptake", "Type", "Treatment")
  tsum2(CO2, "uptake", "Type", "conc")
  tsum2(CO2, "uptake", "Type", "Treatment", 
        e=c("mean", "median", "sd", "min", "max", "length"), 
        ou=c("chilled", "nonchilled"),
        repl=list(c("median", "length"), c("med", "n")))

sasLM documentation built on Nov. 19, 2023, 5:12 p.m.