tsum0

Summarize a continuous dependent (y) variable without any independent (x) variable.

Table Summary

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

tsum0 function

<dl> <dt>d</dt>
<dd>a <code>data.frame</code> or matrix with column names</dd> <dt>y</dt>
<dd>y variable name, a continuous variable</dd> <dt>e</dt>
<dd>a vector of summary function names</dd> <dt>repl</dt>
<dd>a list of strings to replace after summarization. The length of the list should be 2, and both elements should have the same length.</dd></dl>

Arguments

Author

Table Summary with 0 independent (x) variables — tsum0

<dl>

 <dt>d</dt>
<dd>a <code>data.frame</code> or matrix with column names</dd>

 <dt>y</dt>
<dd>y variable name, a continuous variable</dd>

 <dt>e</dt>
<dd>a vector of summary function names</dd>

 <dt>repl</dt>
<dd>a list of strings to replace after summarization. The length of the list should be 2, and both elements should have the same length.</dd>

</dl>

tsum0: Table Summary with 0 independent (x) variables

Description

Usage

Value

Arguments

Author

Details

See Also

Examples