Anova1w: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Jeremy (Importing text file) |
||
| Line 1: | Line 1: | ||
===Purpose=== | ===Purpose=== | ||
One way analysis of variance. | One way analysis of variance. | ||
===Synopsis=== | ===Synopsis=== | ||
:anova1w(dat,alpha) | :anova1w(dat,alpha) | ||
===Description=== | ===Description=== | ||
Calculates one way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment). 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 one way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment). 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=== | ||
[[anova2w]], [[ftest]], [[statdemo]] | [[anova2w]], [[ftest]], [[statdemo]] | ||
Revision as of 15:24, 3 September 2008
Purpose
One way analysis of variance.
Synopsis
- anova1w(dat,alpha)
Description
Calculates one way ANOVA table and tests significance of between factors variation (it is assumed that each column of the data represents a different treatment). 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.