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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_One Factor ANOVA.wasp

Title produced by software

One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)

Date of computation

Tue, 02 Nov 2010 14:26:49 +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/02/t1288708280q3ybjayurb558w6.htm/, Retrieved Sun, 28 Apr 2024 05:03:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=91568, Retrieved Sun, 28 Apr 2024 05:03:14 +0000

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Original text written by user:

IsPrivate?

This computation is/was private until 2010-11-03

User-defined keywords

Estimated Impact

612

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

-       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-02 14:26:49] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 2 - Vraa...] [2010-11-20 13:54:18] [91de8b765895d6ee0c73f0d2e284be17] 
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 2 - Vraa...] [2010-11-22 21:28:14] [91de8b765895d6ee0c73f0d2e284be17] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Vraag 7: Lange en...] [2010-11-22 20:25:24] [4f1a20f787b3465111b61213cdeef1a9] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-23 13:23:38] [f47feae0308dca73181bb669fbad1c56] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-23 14:50:07] [82643889efeee0b265cd2ff213e5137b] 
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [question 7] [2011-10-23 10:15:43] [27e29806e0b1d1351a97bc4ee4116294] 
- R PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [1-way ANOVA (expe...] [2011-10-28 01:09:02] [7f54ec67e5798cc59f49446b41e2f221] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 - Task...] [2011-11-08 08:42:39] [3deae35ae8526e36953f595ad65f3a1f] 
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 -T7- Short&Long] [2011-11-08 23:23:46] [7156a20ff7d97880b6dc50f7239ba03b] 
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [wwwwwwwwww] [2011-11-08 23:27:33] [7156a20ff7d97880b6dc50f7239ba03b] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7 Long-short...] [2011-11-09 02:08:50] [b9f5bf8f9089a40337275cf2fd2f13a1] 
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-12-18 15:47:42] [7d86e24de0a0f8503ecffdef58e8c96c] 
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-10-15 14:26:33] [f810c1d88ae49fd60019f9e52bf9eae3] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Q7c] [2012-10-15 22:28:46] [b6dc7003e7767578f97246d87c77862e] 
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS5 chi hap-dep] [2012-10-21 11:29:41] [2f324ead08cc3849e52bae5d3f3d905a] 
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 chi con-sep] [2012-10-21 11:33:18] [2f324ead08cc3849e52bae5d3f3d905a] 
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 Q1 con-sep] [2012-10-21 11:34:50] [2f324ead08cc3849e52bae5d3f3d905a] 
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 Q1 hap-dep] [2012-10-21 11:36:21] [2f324ead08cc3849e52bae5d3f3d905a] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7 LKT] [2012-10-29 15:59:31] [9dd9c05d056fdee415816a8bd25f68fd] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 Task 7...] [2012-10-30 12:17:45] [c5937bf2e8e0a7b2aa466d1286878951] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ws5 q7 3] [2012-10-30 15:45:08] [74be16979710d4c4e7c6647856088456] 
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [workshop 5 - Q7 -...] [2012-10-30 15:48:47] [74be16979710d4c4e7c6647856088456] 
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Vraag 7] [2012-10-30 16:42:15] [ec4855be6a46db5e0c29fcd049472c6d] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-16 14:21:42] [147786ccb76fa00e429d4b9f5f28b291] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7] [2013-11-03 13:37:08] [22b6f4a061c8797aa483199554a73d13] 
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7] [2013-11-06 13:50:38] [0bf77d08efef5666741a67b35b5e8eb8] 
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-21 08:30:46] [32b17a345b130fdf5cc88718ed94a974] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 10:40:44] [2b9d0c54c8c845c625e475ed5f1f3af1] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Ws 5 Question 7 p...] [2014-10-29 11:15:31] [be945163e51ed825733188af308451be] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 11:47:50] [eee95947b6243a1febfcd5f41483d733] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 12:48:59] [6656361aa4da5489a6a45e803df0211c] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 12:50:37] [6656361aa4da5489a6a45e803df0211c] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 13:59:18] [e493208d2907342b139e6792bbaea494] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:27:19] [ae96d02647dd9ad9c105f1fa6642e295] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5-7] [2014-10-29 14:27:02] [40df8d8b5657a9599acc6ccced535535] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5- 7] [2014-10-29 14:28:15] [40df8d8b5657a9599acc6ccced535535] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:29:08] [ae96d02647dd9ad9c105f1fa6642e295] 
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Task7.3 WS5] [2014-10-29 14:31:35] [805021881bfa5340347077d26b077617] 
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:50:27] [d253a55552bf9917a397def3be261e30] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:00:33] [c2c160edf30e228bd3a949bf24376c2c] 
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:17:00] [d253a55552bf9917a397def3be261e30] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:19:19] [bca3c6529212edfac3e771806c79a908] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5: Q7 LT] [2014-10-29 15:23:17] [36781f05c04c55e165b348994b753b95] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:29:55] [3cc57788b191749bdc089f5fad42e0f8] 
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7] [2014-10-29 16:15:44] [bcf5edf18529a33bd1494456d2c6cb9a] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5: Q7 KT-LT] [2014-10-29 16:20:30] [36781f05c04c55e165b348994b753b95] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5] [2014-10-29 16:23:18] [36781f05c04c55e165b348994b753b95] 
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 18:43:25] [bcf5edf18529a33bd1494456d2c6cb9a] 

[Truncated]

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Dataseries X:

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Histogram

Boxplots

'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	1	1	1	1	0	2
'WWE'	0	0	0	0	0	0	0
'WWE'	0	1	1	1	1	0	2
'WWE'	0	0	1	0	1	1	1
'WWE'	0	0	0	0	0	0	0
'WWE'	0	1	1	1	1	0	2
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	NA	0	NA	NA	NA
'WWE'	0	0	1	0	1	1	1
'WWE'	1	1	NA	0	NA	NA	NA
'WWE'	1	0	0	-1	-1	0	-1
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	1	0	1	1	1
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	-1	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	1	1	1	1	0	2
'WWE'	0	1	1	1	1	0	2
'WWE'	0	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	-1	0
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	0	1	0	1	1	1
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	1	0	1	0	-1	1
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	-1	0
'WWE'	1	1	0	0	-1	-1	0
'WWE'	0	0	0	0	0	0	0
'WWE'	0	0	NA	0	NA	NA	NA
'WWE'	0	0	1	0	1	1	1
'WWE'	0	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0	0
'CSWE'	1	0	NA	-1	NA	NA	NA
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA	NA
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	1	0	1	1	1
'CSWE'	0	0	0	0	0	0	0
'CSWE'	1	1	0	0	-1	-1	0
'CSWE'	0	0	1	0	1	1	1
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA	NA
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	1	NA	1	NA	NA	NA
'CSWE'	1	1	0	0	-1	-1	0
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	NA	0	NA	NA	NA
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	NA	0	NA	NA	NA
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	1	0	1	1	1
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	1	1	0	0	-1	-1	0
'CSWE'	0	0	1	0	1	1	1
'CSWE'	0	1	1	1	1	0	2
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	0	NA	0	NA	NA	NA
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA	NA
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0	0
'CSWE'	0	1	0	1	0	-1	1
'CSWE'	0	1	0	1	0	-1	1
'C'	0	0	0	0	0	0	0
'C'	0	0	1	0	1	1	1
'C'	1	0	0	-1	-1	0	-1
'C'	0	0	1	0	1	1	1
'C'	0	0	NA	0	NA	NA	NA
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	1	0	1	0	-1	1
'C'	1	1	0	0	-1	-1	0
'C'	0	0	NA	0	NA	NA	NA
'C'	0	0	0	0	0	0	0
'C'	0	1	0	1	0	-1	1
'C'	0	1	0	1	0	-1	1
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	NA	0	NA	NA	NA
'C'	0	0	0	0	0	0	0
'C'	0	1	0	1	0	-1	1
'C'	1	1	0	0	-1	-1	0
'C'	0	1	0	1	0	-1	1
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	1	1	0	0	-1	-1	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	1	1	0	0	-1	-1	0
'C'	0	0	1	0	1	1	1
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	0	0	0	0	0
'C'	0	0	1	0	1	1	1
'C'	0	0	0	0	0	0	0
'C'	0	0	NA	0	NA	NA	NA
'C'	1	1	0	0	-1	-1	0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91568&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91568&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

ANOVA Model
post2-post1 ~ treat
means	-0.171	-0.141	0.04

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
post2-post1  ~  treat \tabularnewline
means & -0.171 & -0.141 & 0.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91568&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]post2-post1  ~  treat[/C][/ROW]
[ROW][C]means[/C][C]-0.171[/C][C]-0.141[/C][C]0.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91568&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
post2-post1 ~ treat
means	-0.171	-0.141	0.04

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
treat	2	0.611	0.306	0.739	0.48
Residuals	102	42.189	0.414

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
treat & 2 & 0.611 & 0.306 & 0.739 & 0.48 \tabularnewline
Residuals & 102 & 42.189 & 0.414 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91568&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]treat[/C][C]2[/C][C]0.611[/C][C]0.306[/C][C]0.739[/C][C]0.48[/C][/ROW]
[ROW][C]Residuals[/C][C]102[/C][C]42.189[/C][C]0.414[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91568&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91568&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)
treat	2	0.611	0.306	0.739	0.48
Residuals	102	42.189	0.414

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
CSWE-C	-0.141	-0.515	0.233	0.644
WWE-C	0.04	-0.319	0.398	0.962
WWE-CSWE	0.181	-0.186	0.548	0.472

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
CSWE-C & -0.141 & -0.515 & 0.233 & 0.644 \tabularnewline
WWE-C & 0.04 & -0.319 & 0.398 & 0.962 \tabularnewline
WWE-CSWE & 0.181 & -0.186 & 0.548 & 0.472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91568&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]CSWE-C[/C][C]-0.141[/C][C]-0.515[/C][C]0.233[/C][C]0.644[/C][/ROW]
[ROW][C]WWE-C[/C][C]0.04[/C][C]-0.319[/C][C]0.398[/C][C]0.962[/C][/ROW]
[ROW][C]WWE-CSWE[/C][C]0.181[/C][C]-0.186[/C][C]0.548[/C][C]0.472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91568&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91568&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
CSWE-C	-0.141	-0.515	0.233	0.644
WWE-C	0.04	-0.319	0.398	0.962
WWE-CSWE	0.181	-0.186	0.548	0.472

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	2	1.223	0.299
	102

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 2 & 1.223 & 0.299 \tabularnewline
  & 102 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91568&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]2[/C][C]1.223[/C][C]0.299[/C][/ROW]
[ROW][C] [/C][C]102[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91568&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91568&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	2	1.223	0.299
	102

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 8 ; par2 = 11 ; par3 = TRUE ;

Parameters (R input):

par1 = 7 ; par2 = 1 ; par3 = TRUE ;

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

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, 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$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$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)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], 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, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
bitmap(file='TukeyHSDPlot.png')
plot(thsd)
dev.off()
}
if(intercept==TRUE){
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(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
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