Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_Two Factor ANOVA.wasp

Title produced by software

Two-Way ANOVA

Date of computation

Wed, 10 Nov 2010 09:35:34 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/10/t12893819430fyo02wqn55s8rj.htm/, Retrieved Mon, 29 Apr 2024 08:36:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93025, Retrieved Mon, 29 Apr 2024 08:36:04 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

184

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Two-Way ANOVA] [] [2010-11-10 09:35:34] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

10	10	0	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'M'
10	0	10	10	0	0	10	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	0	10	10	0	0	10	20	0	10	30	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	10	10	0	0	0	0	30	0	0	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	0	10	20	10	10	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	0	10	0	0	0	0	10	0	0	10	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	10	10	0	20	20	10	30	50	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	0	10	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	0	0	0	0	30	0	0	30	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	0	10	0	10	10	10	10	20	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	10	10	0	0	0	0	30	0	0	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	10	0	0	0	0	20	0	0	20	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	0	10	10	0	0	10	20	0	10	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	10	10	0	0	0	0	30	0	0	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	0	0	10	0	10	0	0	10	10	10	20	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	10	0	0	0	10	20	0	10	30	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	10	0	10	0	0	10	10	10	10	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	10	0	0	10	20	0	10	30	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	0	10	0	10	0	10	10	10	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	10	10	0	10	0	10	10	10	20	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	0	10	0	0	10	10	10	10	20	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	0	0	10	0	10	0	0	10	10	10	20	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S0'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	10	0	10	0	0	10	20	10	10	30	40	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	0	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	0	0	10	0	20	0	10	30	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	0	10	0	0	0	10	10	0	10	20	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	0	10	0	10	0	10	10	10	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	0	0	0	10	0	10	0	10	20	20	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	10	0	0	0	0	0	10	0	0	10	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	0	0	0	0	10	0	0	10	10	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	0	0	0	0	20	0	0	20	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	0	10	10	30	10	20	50	60	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	10	0	10	0	0	10	20	10	10	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	10	10	0	10	0	10	10	10	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S2'	'S2'	'CTRL'	'RC'	'M'

10	0	10	0	0	10	0	20	0	10	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	0	0	10	0	0	0	10	10	0	10	20	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	0	10	10	10	0	10	20	10	20	40	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	0	10	0	10	0	10	10	10	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	0	0	0	0	0	0	0	0	0	0	0	'S0'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
																
																
																
																
																
																
																
0	0	10	10	0	10	0	10	10	10	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	0	10	0	0	0	0	20	0	0	20	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	10	0	0	0	10	20	0	10	30	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	0	10	0	30	10	10	40	50	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	10	0	0	0	0	0	20	0	0	20	20	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	10	0	0	0	0	0	20	0	0	20	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	0	0	0	0	0	20	0	0	20	20	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	10	10	0	0	0	0	30	0	0	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
																
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
10	0	10	10	0	0	10	20	10	10	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	10	10	0	10	0	20	10	10	30	40	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	10	0	0	30	20	0	30	50	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	0	10	0	20	10	10	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	0	0	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
10	0	10	10	10	0	0	20	20	0	20	40	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	0	0	10	0	20	0	10	30	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	10	10	0	0	10	10	10	10	20	30	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	0	0	0	0	20	0	0	20	20	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	10	0	10	10	0	0	10	20	0	10	30	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	10	10	0	0	10	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	0	10	0	0	30	10	0	30	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	10	0	0	20	20	0	20	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	0	10	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	10	0	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	0	10	0	0	0	0	10	0	0	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	0	10	0	0	0	10	10	0	10	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	0	30	10	0	30	40	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S1'	'S1'	'CTRL'	'CTRL'	'F'
																
																
																
																
																
																
0	0	10	0	0	0	0	10	0	0	10	10	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	0	10	0	0	10	0	10	10	10	20	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	0	10	0	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	0	0	0	0	0	0	0	0	0	0	0	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	10	10	10	0	0	10	30	10	10	40	50	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	0	0	0	0	10	0	0	10	10	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
																
																
																
																
																
																
																
10	10	0	10	0	0	0	20	10	0	20	30	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	0	0	0	10	0	10	0	10	20	20	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	0	0	0	10	0	20	0	10	30	30	'S3'	'S3'	'PR'	'RC'	'F'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
10	10	0	10	10	0	0	20	20	0	20	40	'S2'	'S2'	'CTRL'	'RC'	'M'
																
																
																
																
																
																
0	10	10	10	10	0	0	20	20	0	20	40	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	0	10	0	10	10	10	20	30	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
10	10	0	10	0	10	0	20	10	10	30	40	'S1'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	10	10	0	0	0	20	10	0	20	30	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	10	10	0	10	0	10	30	10	10	40	50	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	0	0	0	0	0	0	10	0	0	10	10	'S3'	'S3'	'PR'	'RC'	'M'
																
																
																
																
																
																
10	0	10	10	0	10	0	20	10	10	30	40	'S2'	'S2'	'CTRL'	'RC'	'F'
																
																
																
																
																
																
0	10	0	0	0	0	0	10	0	0	10	10	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
10	0	0	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	10	0	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'
																
																
																
																
																
																
0	0	10	10	0	0	0	10	10	0	10	20	'S0'	'S1'	'CTRL'	'CTRL'	'M'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 7 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93025&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93025&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93025&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

ANOVA Model
Response ~ Treatment_A * Treatment_B
means	0	1.111	1.181	1.25	0.714	-0.916	-1.067	0.125

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
Response ~ Treatment_A * Treatment_B \tabularnewline
means & 0 & 1.111 & 1.181 & 1.25 & 0.714 & -0.916 & -1.067 & 0.125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93025&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]Response ~ Treatment_A * Treatment_B[/C][/ROW]
[ROW][C]means[/C][C]0[/C][C]1.111[/C][C]1.181[/C][C]1.25[/C][C]0.714[/C][C]-0.916[/C][C]-1.067[/C][C]0.125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93025&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93025&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

ANOVA Model
Response ~ Treatment_A * Treatment_B
means	0	1.111	1.181	1.25	0.714	-0.916	-1.067	0.125

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
	3
Treatment_A	3	142.547	47.516	4.966	0.002
Treatment_B	3	2.862	2.862	0.299	0.585
Treatment_A:Treatment_B	3	61.665	20.555	2.148	0.093
Residuals	1031	9863.955	9.567

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
 & 3 &  &  &  &  \tabularnewline
Treatment_A & 3 & 142.547 & 47.516 & 4.966 & 0.002 \tabularnewline
Treatment_B & 3 & 2.862 & 2.862 & 0.299 & 0.585 \tabularnewline
Treatment_A:Treatment_B & 3 & 61.665 & 20.555 & 2.148 & 0.093 \tabularnewline
Residuals & 1031 & 9863.955 & 9.567 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93025&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C][/C][C]3[/C][C][/C][C][/C][C][/C][C][/C][/ROW]
[ROW][C]Treatment_A[/C][C]3[/C][C]142.547[/C][C]47.516[/C][C]4.966[/C][C]0.002[/C][/ROW]
[ROW][C]Treatment_B[/C][C]3[/C][C]2.862[/C][C]2.862[/C][C]0.299[/C][C]0.585[/C][/ROW]
[ROW][C]Treatment_A:Treatment_B[/C][C]3[/C][C]61.665[/C][C]20.555[/C][C]2.148[/C][C]0.093[/C][/ROW]
[ROW][C]Residuals[/C][C]1031[/C][C]9863.955[/C][C]9.567[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93025&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93025&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
	3
Treatment_A	3	142.547	47.516	4.966	0.002
Treatment_B	3	2.862	2.862	0.299	0.585
Treatment_A:Treatment_B	3	61.665	20.555	2.148	0.093
Residuals	1031	9863.955	9.567

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
S1-S0	0.355	-0.365	1.075	0.583
S2-S0	0.335	-0.377	1.046	0.62
S3-S0	1.062	0.321	1.803	0.001
S2-S1	-0.02	-0.684	0.643	1
S3-S1	0.707	0.012	1.403	0.045
S3-S2	0.728	0.041	1.414	0.033
M-F	0.104	-0.286	0.494	0.601
S1:F-S0:F	1.111	-1.103	3.325	0.794
S2:F-S0:F	1.181	-1.032	3.394	0.738
S3:F-S0:F	1.25	-0.984	3.484	0.688
S0:M-S0:F	0.714	-1.443	2.871	0.974
S1:M-S0:F	0.909	-1.276	3.094	0.912
S2:M-S0:F	0.828	-1.345	3.002	0.944
S3:M-S0:F	2.09	-0.115	4.294	0.078
S2:F-S1:F	0.07	-1.111	1.251	1
S3:F-S1:F	0.139	-1.081	1.359	1
S0:M-S1:F	-0.397	-1.47	0.676	0.952
S1:M-S1:F	-0.202	-1.331	0.926	0.999
S2:M-S1:F	-0.283	-1.388	0.823	0.994
S3:M-S1:F	0.978	-0.187	2.144	0.176
S3:F-S2:F	0.069	-1.149	1.287	1
S0:M-S2:F	-0.467	-1.537	0.603	0.889
S1:M-S2:F	-0.272	-1.398	0.854	0.996
S2:M-S2:F	-0.353	-1.456	0.751	0.978
S3:M-S2:F	0.908	-0.255	2.072	0.257
S0:M-S3:F	-0.536	-1.648	0.577	0.827
S1:M-S3:F	-0.341	-1.508	0.826	0.987
S2:M-S3:F	-0.422	-1.566	0.723	0.953
S3:M-S3:F	0.84	-0.363	2.042	0.403
S1:M-S0:M	0.195	-0.817	1.206	0.999
S2:M-S0:M	0.114	-0.872	1.1	1
S3:M-S0:M	1.375	0.322	2.428	0.002
S2:M-S1:M	-0.081	-1.127	0.966	1
S3:M-S1:M	1.18	0.071	2.29	0.028
S3:M-S2:M	1.261	0.175	2.348	0.01

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
S1-S0 & 0.355 & -0.365 & 1.075 & 0.583 \tabularnewline
S2-S0 & 0.335 & -0.377 & 1.046 & 0.62 \tabularnewline
S3-S0 & 1.062 & 0.321 & 1.803 & 0.001 \tabularnewline
S2-S1 & -0.02 & -0.684 & 0.643 & 1 \tabularnewline
S3-S1 & 0.707 & 0.012 & 1.403 & 0.045 \tabularnewline
S3-S2 & 0.728 & 0.041 & 1.414 & 0.033 \tabularnewline
M-F & 0.104 & -0.286 & 0.494 & 0.601 \tabularnewline
S1:F-S0:F & 1.111 & -1.103 & 3.325 & 0.794 \tabularnewline
S2:F-S0:F & 1.181 & -1.032 & 3.394 & 0.738 \tabularnewline
S3:F-S0:F & 1.25 & -0.984 & 3.484 & 0.688 \tabularnewline
S0:M-S0:F & 0.714 & -1.443 & 2.871 & 0.974 \tabularnewline
S1:M-S0:F & 0.909 & -1.276 & 3.094 & 0.912 \tabularnewline
S2:M-S0:F & 0.828 & -1.345 & 3.002 & 0.944 \tabularnewline
S3:M-S0:F & 2.09 & -0.115 & 4.294 & 0.078 \tabularnewline
S2:F-S1:F & 0.07 & -1.111 & 1.251 & 1 \tabularnewline
S3:F-S1:F & 0.139 & -1.081 & 1.359 & 1 \tabularnewline
S0:M-S1:F & -0.397 & -1.47 & 0.676 & 0.952 \tabularnewline
S1:M-S1:F & -0.202 & -1.331 & 0.926 & 0.999 \tabularnewline
S2:M-S1:F & -0.283 & -1.388 & 0.823 & 0.994 \tabularnewline
S3:M-S1:F & 0.978 & -0.187 & 2.144 & 0.176 \tabularnewline
S3:F-S2:F & 0.069 & -1.149 & 1.287 & 1 \tabularnewline
S0:M-S2:F & -0.467 & -1.537 & 0.603 & 0.889 \tabularnewline
S1:M-S2:F & -0.272 & -1.398 & 0.854 & 0.996 \tabularnewline
S2:M-S2:F & -0.353 & -1.456 & 0.751 & 0.978 \tabularnewline
S3:M-S2:F & 0.908 & -0.255 & 2.072 & 0.257 \tabularnewline
S0:M-S3:F & -0.536 & -1.648 & 0.577 & 0.827 \tabularnewline
S1:M-S3:F & -0.341 & -1.508 & 0.826 & 0.987 \tabularnewline
S2:M-S3:F & -0.422 & -1.566 & 0.723 & 0.953 \tabularnewline
S3:M-S3:F & 0.84 & -0.363 & 2.042 & 0.403 \tabularnewline
S1:M-S0:M & 0.195 & -0.817 & 1.206 & 0.999 \tabularnewline
S2:M-S0:M & 0.114 & -0.872 & 1.1 & 1 \tabularnewline
S3:M-S0:M & 1.375 & 0.322 & 2.428 & 0.002 \tabularnewline
S2:M-S1:M & -0.081 & -1.127 & 0.966 & 1 \tabularnewline
S3:M-S1:M & 1.18 & 0.071 & 2.29 & 0.028 \tabularnewline
S3:M-S2:M & 1.261 & 0.175 & 2.348 & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93025&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]S1-S0[/C][C]0.355[/C][C]-0.365[/C][C]1.075[/C][C]0.583[/C][/ROW]
[ROW][C]S2-S0[/C][C]0.335[/C][C]-0.377[/C][C]1.046[/C][C]0.62[/C][/ROW]
[ROW][C]S3-S0[/C][C]1.062[/C][C]0.321[/C][C]1.803[/C][C]0.001[/C][/ROW]
[ROW][C]S2-S1[/C][C]-0.02[/C][C]-0.684[/C][C]0.643[/C][C]1[/C][/ROW]
[ROW][C]S3-S1[/C][C]0.707[/C][C]0.012[/C][C]1.403[/C][C]0.045[/C][/ROW]
[ROW][C]S3-S2[/C][C]0.728[/C][C]0.041[/C][C]1.414[/C][C]0.033[/C][/ROW]
[ROW][C]M-F[/C][C]0.104[/C][C]-0.286[/C][C]0.494[/C][C]0.601[/C][/ROW]
[ROW][C]S1:F-S0:F[/C][C]1.111[/C][C]-1.103[/C][C]3.325[/C][C]0.794[/C][/ROW]
[ROW][C]S2:F-S0:F[/C][C]1.181[/C][C]-1.032[/C][C]3.394[/C][C]0.738[/C][/ROW]
[ROW][C]S3:F-S0:F[/C][C]1.25[/C][C]-0.984[/C][C]3.484[/C][C]0.688[/C][/ROW]
[ROW][C]S0:M-S0:F[/C][C]0.714[/C][C]-1.443[/C][C]2.871[/C][C]0.974[/C][/ROW]
[ROW][C]S1:M-S0:F[/C][C]0.909[/C][C]-1.276[/C][C]3.094[/C][C]0.912[/C][/ROW]
[ROW][C]S2:M-S0:F[/C][C]0.828[/C][C]-1.345[/C][C]3.002[/C][C]0.944[/C][/ROW]
[ROW][C]S3:M-S0:F[/C][C]2.09[/C][C]-0.115[/C][C]4.294[/C][C]0.078[/C][/ROW]
[ROW][C]S2:F-S1:F[/C][C]0.07[/C][C]-1.111[/C][C]1.251[/C][C]1[/C][/ROW]
[ROW][C]S3:F-S1:F[/C][C]0.139[/C][C]-1.081[/C][C]1.359[/C][C]1[/C][/ROW]
[ROW][C]S0:M-S1:F[/C][C]-0.397[/C][C]-1.47[/C][C]0.676[/C][C]0.952[/C][/ROW]
[ROW][C]S1:M-S1:F[/C][C]-0.202[/C][C]-1.331[/C][C]0.926[/C][C]0.999[/C][/ROW]
[ROW][C]S2:M-S1:F[/C][C]-0.283[/C][C]-1.388[/C][C]0.823[/C][C]0.994[/C][/ROW]
[ROW][C]S3:M-S1:F[/C][C]0.978[/C][C]-0.187[/C][C]2.144[/C][C]0.176[/C][/ROW]
[ROW][C]S3:F-S2:F[/C][C]0.069[/C][C]-1.149[/C][C]1.287[/C][C]1[/C][/ROW]
[ROW][C]S0:M-S2:F[/C][C]-0.467[/C][C]-1.537[/C][C]0.603[/C][C]0.889[/C][/ROW]
[ROW][C]S1:M-S2:F[/C][C]-0.272[/C][C]-1.398[/C][C]0.854[/C][C]0.996[/C][/ROW]
[ROW][C]S2:M-S2:F[/C][C]-0.353[/C][C]-1.456[/C][C]0.751[/C][C]0.978[/C][/ROW]
[ROW][C]S3:M-S2:F[/C][C]0.908[/C][C]-0.255[/C][C]2.072[/C][C]0.257[/C][/ROW]
[ROW][C]S0:M-S3:F[/C][C]-0.536[/C][C]-1.648[/C][C]0.577[/C][C]0.827[/C][/ROW]
[ROW][C]S1:M-S3:F[/C][C]-0.341[/C][C]-1.508[/C][C]0.826[/C][C]0.987[/C][/ROW]
[ROW][C]S2:M-S3:F[/C][C]-0.422[/C][C]-1.566[/C][C]0.723[/C][C]0.953[/C][/ROW]
[ROW][C]S3:M-S3:F[/C][C]0.84[/C][C]-0.363[/C][C]2.042[/C][C]0.403[/C][/ROW]
[ROW][C]S1:M-S0:M[/C][C]0.195[/C][C]-0.817[/C][C]1.206[/C][C]0.999[/C][/ROW]
[ROW][C]S2:M-S0:M[/C][C]0.114[/C][C]-0.872[/C][C]1.1[/C][C]1[/C][/ROW]
[ROW][C]S3:M-S0:M[/C][C]1.375[/C][C]0.322[/C][C]2.428[/C][C]0.002[/C][/ROW]
[ROW][C]S2:M-S1:M[/C][C]-0.081[/C][C]-1.127[/C][C]0.966[/C][C]1[/C][/ROW]
[ROW][C]S3:M-S1:M[/C][C]1.18[/C][C]0.071[/C][C]2.29[/C][C]0.028[/C][/ROW]
[ROW][C]S3:M-S2:M[/C][C]1.261[/C][C]0.175[/C][C]2.348[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93025&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93025&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
S1-S0	0.355	-0.365	1.075	0.583
S2-S0	0.335	-0.377	1.046	0.62
S3-S0	1.062	0.321	1.803	0.001
S2-S1	-0.02	-0.684	0.643	1
S3-S1	0.707	0.012	1.403	0.045
S3-S2	0.728	0.041	1.414	0.033
M-F	0.104	-0.286	0.494	0.601
S1:F-S0:F	1.111	-1.103	3.325	0.794
S2:F-S0:F	1.181	-1.032	3.394	0.738
S3:F-S0:F	1.25	-0.984	3.484	0.688
S0:M-S0:F	0.714	-1.443	2.871	0.974
S1:M-S0:F	0.909	-1.276	3.094	0.912
S2:M-S0:F	0.828	-1.345	3.002	0.944
S3:M-S0:F	2.09	-0.115	4.294	0.078
S2:F-S1:F	0.07	-1.111	1.251	1
S3:F-S1:F	0.139	-1.081	1.359	1
S0:M-S1:F	-0.397	-1.47	0.676	0.952
S1:M-S1:F	-0.202	-1.331	0.926	0.999
S2:M-S1:F	-0.283	-1.388	0.823	0.994
S3:M-S1:F	0.978	-0.187	2.144	0.176
S3:F-S2:F	0.069	-1.149	1.287	1
S0:M-S2:F	-0.467	-1.537	0.603	0.889
S1:M-S2:F	-0.272	-1.398	0.854	0.996
S2:M-S2:F	-0.353	-1.456	0.751	0.978
S3:M-S2:F	0.908	-0.255	2.072	0.257
S0:M-S3:F	-0.536	-1.648	0.577	0.827
S1:M-S3:F	-0.341	-1.508	0.826	0.987
S2:M-S3:F	-0.422	-1.566	0.723	0.953
S3:M-S3:F	0.84	-0.363	2.042	0.403
S1:M-S0:M	0.195	-0.817	1.206	0.999
S2:M-S0:M	0.114	-0.872	1.1	1
S3:M-S0:M	1.375	0.322	2.428	0.002
S2:M-S1:M	-0.081	-1.127	0.966	1
S3:M-S1:M	1.18	0.071	2.29	0.028
S3:M-S2:M	1.261	0.175	2.348	0.01

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	7	3.092	0.003
	1031

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 7 & 3.092 & 0.003 \tabularnewline
  & 1031 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93025&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]7[/C][C]3.092[/C][C]0.003[/C][/ROW]
[ROW][C] [/C][C]1031[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93025&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93025&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	7	3.092	0.003
	1031

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 7 ; par2 = 13 ; par3 = 17 ; par4 = TRUE ;

Parameters (R input):

par1 = 7 ; par2 = 13 ; par3 = 17 ; par4 = TRUE ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
cat3 <- as.numeric(par3)
intercept<-as.logical(par4)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
f2 <- as.character(x[,cat3])
xdf<-data.frame(x1,f1, f2)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
(V3 <-dimnames(y)[[1]][cat3])
names(xdf)<-c('Response', 'Treatment_A', 'Treatment_B')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment_A * Treatment_B- 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment_A * Treatment_B, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, lmxdf$call['formula'],length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
for(i in 1 : length(rownames(anova.xdf))-1){
a<-table.row.start(a)
a<-table.element(a,rownames(anova.xdf)[i] ,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[i], digits=3),,FALSE)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$'Df'[i+1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[i+1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[i+1], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
bitmap(file='anovaplot.png')
boxplot(Response ~ Treatment_A + Treatment_B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups')
dev.off()
bitmap(file='designplot.png')
xdf2 <- xdf # to preserve xdf make copy for function
names(xdf2) <- c(V1, V2, V3)
plot.design(xdf2, main='Design Plot of Group Means')
dev.off()
bitmap(file='interactionplot.png')
interaction.plot(xdf$Treatment_A, xdf$Treatment_B, xdf$Response, xlab=V2, ylab=V1, trace.label=V3, main='Possible Interactions Between Anova Groups')
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
names(thsd) <- c(V2, V3, paste(V2, ':', V3, sep=''))
bitmap(file='TukeyHSDPlot.png')
layout(matrix(c(1,2,3,3), 2,2))
plot(thsd, las=1)
dev.off()
}
if(intercept==TRUE){
ntables<-length(names(thsd))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(nt in 1:ntables){
for(i in 1:length(rownames(thsd[[nt]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[nt]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[nt]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
} # end nt
a<-table.end(a)
table.save(a,file='hsdtable.tab')
}#end if hsd tables
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
library(car)
lt.lmxdf<-levene.test(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code