Anova2w: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Neal |
||
Line 1: | Line 1: | ||
===Purpose=== | ===Purpose=== | ||
Line 10: | Line 9: | ||
===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 10:40, 25 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.