mtest

This is comparable to SAS PROC TTEST except using summarized input (sufficient statistics).

t-test

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 does not necessarily mean incorrectness. However, many wants the same results to 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

mtest function

<dl> <dt>m1</dt>
<dd>mean of the first (test, active, experimental) group</dd> <dt>s1</dt>
<dd>sample standard deviation of the first group</dd> <dt>n1</dt>
<dd>sample size of the first group</dd> <dt>m0</dt>
<dd>mean of the second (reference, control, placebo) group</dd> <dt>s0</dt>
<dd>sample standard deviation of the second group</dd> <dt>n0</dt>
<dd>sample size of the second group</dd> <dt>conf.level</dt>
<dd>confidence level</dd></dl>

Arguments

Author

Independent two groups t-test similar to PROC TTEST with summarized input — mtest

<dl>

 <dt>m1</dt>
<dd>mean of the first (test, active, experimental) group</dd>

 <dt>s1</dt>
<dd>sample standard deviation of the first group</dd>

 <dt>n1</dt>
<dd>sample size of the first group</dd>

 <dt>m0</dt>
<dd>mean of the second (reference, control, placebo) group</dd>

 <dt>s0</dt>
<dd>sample standard deviation of the second group</dd>

 <dt>n0</dt>
<dd>sample size of the second group</dd>

 <dt>conf.level</dt>
<dd>confidence level</dd>

</dl>

mtest: Independent two groups t-test similar to PROC TTEST with summarized input

Description

Usage

Value

Arguments

Author

Details

See Also

Examples