Anova2w: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Two way analysis of variance. | Two way analysis of variance. | ||
===Synopsis=== | ===Synopsis=== | ||
:anova2w(dat,alpha) | :anova2w(dat,alpha) | ||
===Description=== | ===Description=== | ||
Calculates two way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment) and between blocks variation (it is assumed that each row represents a block). Inputs are the data table dat and the desired confidence level alpha, expressed as a fraction (''e.g.'' 0.95, 0.99, etc.). The output is an ANOVA table written to the command window. | Calculates two way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment) and between blocks variation (it is assumed that each row represents a block). Inputs are the data table dat and the desired confidence level alpha, expressed as a fraction (''e.g.'' 0.95, 0.99, etc.). The output is an ANOVA table written to the command window. | ||
===See Also=== | ===See Also=== | ||
[[anova1w]], [[ftest]], [[statdemo]] | [[anova1w]], [[ftest]], [[statdemo]] | ||
Revision as of 14:24, 3 September 2008
Purpose
Two way analysis of variance.
Synopsis
- anova2w(dat,alpha)
Description
Calculates two way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment) and between blocks variation (it is assumed that each row represents a block). Inputs are the data table dat and the desired confidence level alpha, expressed as a fraction (e.g. 0.95, 0.99, etc.). The output is an ANOVA table written to the command window.