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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_One Factor ANOVA.wasp
Title produced by softwareOne-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computationMon, 01 Nov 2010 13:37:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/01/t1288618599zm6alpr6uitaher.htm/, Retrieved Tue, 16 Apr 2024 23:14:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90816, Retrieved Tue, 16 Apr 2024 23:14:51 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-03
User-defined keywords
Estimated Impact811

Tree of Dependent Computations

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)] [] [2010-11-01 13:37:53] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ws5 q6 peer review] [2010-11-05 10:05:17] [c1a9f1d6a1a56eda57b5ddd6daa7a288]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Q6 - Short term] [2010-11-07 14:37:09] [1aa8d85d6b335d32b1f6be940e33a166]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 2: Vraag 6] [2010-11-17 12:50:03] [29e492448d11757ae0fad5ef6e7f8e86]
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-18 15:49:43] [69c775ce4d55db2aa75a88e773e8d700]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-22 18:17:53] [f47feae0308dca73181bb669fbad1c56]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-22 18:18:44] [f47feae0308dca73181bb669fbad1c56]
- RMPD    [Two-Way ANOVA] [two-way anova gew...] [2010-12-15 19:33:39] [95e8426e0df851c9330605aa1e892ab5]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 6] [2011-10-23 09:49:36] [27e29806e0b1d1351a97bc4ee4116294]
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 6] [2011-10-26 10:09:33] [baac05fe722f73c103cc2d713fa5bd78]
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [1-way ANOVA (kort...] [2011-10-27 23:57:45] [7f54ec67e5798cc59f49446b41e2f221]
- R PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [1-way ANOVA (kort...] [2011-10-28 00:02:23] [7f54ec67e5798cc59f49446b41e2f221]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 Q 6 Korte te...] [2011-10-29 14:51:32] [a9671b130b33f9fcb98554992ce4582f]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 Q 6 Lange Te...] [2011-10-29 14:53:25] [a9671b130b33f9fcb98554992ce4582f]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 Q 7 Korte te...] [2011-10-29 15:06:12] [a9671b130b33f9fcb98554992ce4582f]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 Q 7 Lange te...] [2011-10-29 15:07:23] [a9671b130b33f9fcb98554992ce4582f]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Vraag 6 Korte ter...] [2011-10-30 13:11:43] [c26e829f03d42da3805b9c4b60f90f25]
- R P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Vraag 6 Lange Ter...] [2011-10-30 13:29:33] [c26e829f03d42da3805b9c4b60f90f25]
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 - Task 6] [2011-10-30 18:18:02] [3deae35ae8526e36953f595ad65f3a1f]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 - Task 6] [2011-11-08 08:53:40] [3deae35ae8526e36953f595ad65f3a1f]
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [C5 V6] [2011-10-31 17:34:25] [74be16979710d4c4e7c6647856088456]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Taak 6 Korte Termijn] [2011-11-01 16:44:28] [088a244c534fec2347300624359db3c1]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [task 5.6.1] [2011-11-01 17:08:47] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-01 17:40:05] [ee8c3a74bf3b349877806e9a50913c60]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-01 18:19:38] [ee8c3a74bf3b349877806e9a50913c60]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Q6_KT] [2011-11-02 12:55:56] [2adcc8dcd741502b8a9375c7fd3d7ce3]
-    D    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Q6_KT2] [2011-11-02 13:00:50] [2adcc8dcd741502b8a9375c7fd3d7ce3]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Q6_LT] [2011-11-02 13:05:50] [2adcc8dcd741502b8a9375c7fd3d7ce3]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-02 13:19:16] [2adcc8dcd741502b8a9375c7fd3d7ce3]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-02 13:20:24] [84fecfa8c8107ac4e0024d8b1730a531]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-02 18:24:25] [b4c8fd31b0af00c33711722ddf8d2c4c]
- R  D      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-04 20:11:10] [b4c8fd31b0af00c33711722ddf8d2c4c]
-   PD        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-04 20:19:32] [b4c8fd31b0af00c33711722ddf8d2c4c]
- R P           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [SHW WS5 - Questio...] [2012-10-30 20:37:05] [04ad92fd38637a2baad7dd3848f865a0]
- R  D        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [SHW WS5 - Questio...] [2012-10-30 20:32:25] [04ad92fd38637a2baad7dd3848f865a0]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 11:51:44] [a1957df0bc37aec4aa3c994e6a08412c]
- R P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 11:53:39] [a1957df0bc37aec4aa3c994e6a08412c]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 18:14:56] [aefb5c2d4042694c5b6b82f93ac1885a]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 19:23:01] [77e355412ccdb651b3c7eae41c3da865]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 19:33:53] [77e355412ccdb651b3c7eae41c3da865]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-07 19:35:11] [77e355412ccdb651b3c7eae41c3da865]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5.7] [2011-11-08 15:11:30] [9b13650c94c5192ca5135ec8a1fa39f7]
- R P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5.8] [2011-11-08 15:17:09] [9b13650c94c5192ca5135ec8a1fa39f7]
-   PD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-08 15:32:46] [9b13650c94c5192ca5135ec8a1fa39f7]
-   P         [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-08 15:34:11] [9b13650c94c5192ca5135ec8a1fa39f7]
- RMPD          [Two-Way ANOVA] [] [2011-11-08 15:39:23] [9b13650c94c5192ca5135ec8a1fa39f7]
-   PD    [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 - Q 6 - Kort...] [2011-11-08 15:18:21] [43a132f5d1d3e2c258a569e3803c6f06]
-   P     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2011-11-08 18:49:59] [19d77e37efa419fdc040c74a96874aff]
- R         [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Paper 2012, Deel ...] [2012-12-11 18:22:10] [346d881f0ddec1e86442b342eb3e8104]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	1	4	0	2	'T'	0	3	-1	1	4
1	1	0	0	2	'T'	0	-1	-1	1	0
0	1	4	1	1.5	'T'	1	4	1	1.5	5
0	0	0	0	0	'T'	0	0	0	0	0
1	1	0	1	1	'T'	0	-1	0	0	0
1	1	0	1	2	'T'	0	-1	0	1	0
1	1	0	1	2	'T'	0	-1	0	1	0
0	1	0	1	1	'T'	1	0	1	1	1
0	1	4	1	2	'T'	1	4	1	2	5
1	1	1	0	2	'T'	0	0	-1	1	1
0	0	4	0	2	'T'	0	4	0	2	4
0	1	0	1	0	'T'	1	0	1	0	1
0	1	2	1	0	'T'	1	2	1	0	3
0	1	0	0	2	'T'	1	0	0	2	1
0	0	0	NA	NA	'T'	0	0	NA	NA	0
1	1	0	1	2	'T'	0	-1	0	1	0
1	1	1	0	2	'T'	0	0	-1	1	1
1	1	0	1	0.5	'T'	0	-1	0	-0.5	0
0	1	0	1	2	'T'	1	0	1	2	1
0	0	2	1	0	'T'	0	2	1	0	2
1	1	2	1	2	'T'	0	1	0	1	2
1	1	1	0	0	'T'	0	0	-1	-1	1
0	0	2	NA	NA	'T'	0	2	NA	NA	2
1	0	0	NA	NA	'T'	-1	-1	NA	NA	-1
1	1	3	1	2	'T'	0	2	0	1	3
1	0	0	1	0	'T'	-1	-1	0	-1	-1
1	1	0	NA	NA	'T'	0	-1	NA	NA	0
0	0	0	NA	NA	'T'	0	0	NA	NA	0
0	0	1	0	2	'T'	0	1	0	2	1
1	1	0	1	1	'T'	0	-1	0	0	0
1	0	0	0	0.5	'T'	-1	-1	-1	-0.5	-1
1	1	4	0	2	'T'	0	3	-1	1	4
0	0	0	1	0.5	'T'	0	0	1	0.5	0
0	0	1	NA	NA	'T'	0	1	NA	NA	1
0	0	0	1	0.5	'T'	0	0	1	0.5	0
1	1	0	NA	NA	'T'	0	-1	NA	NA	0
1	1	4	0	2	'T'	0	3	-1	1	4
0	1	1	1	0	'E'	1	1	1	0	2
0	1	0	1	1	'E'	1	0	1	1	1
1	1	4	1	2	'E'	0	3	0	1	4
1	1	0	1	1	'E'	0	-1	0	0	0
1	1	4	1	2	'E'	0	3	0	1	4
1	1	0	0	0	'E'	0	-1	-1	-1	0
1	1	0	1	0.5	'E'	0	-1	0	-0.5	0
0	0	0	1	0	'E'	0	0	1	0	0
0	1	4	1	2	'E'	1	4	1	2	5
0	1	0	0	0	'E'	1	0	0	0	1
1	1	0	0	1	'E'	0	-1	-1	0	0
1	1	4	1	2	'E'	0	3	0	1	4
0	0	4	0	0.5	'E'	0	4	0	0.5	4
0	1	0	1	2	'E'	1	0	1	2	1
1	1	1	1	2	'E'	0	0	0	1	1
0	1	0	1	2	'E'	1	0	1	2	1
0	0	4	NA	NA	'E'	0	4	NA	NA	4
0	1	0	0	0	'E'	1	0	0	0	1
0	1	2	1	0	'E'	1	2	1	0	3
0	1	0	1	0.5	'E'	1	0	1	0.5	1
0	1	4	NA	NA	'E'	1	4	NA	NA	5
0	0	4	0	2	'E'	0	4	0	2	4
0	0	0	NA	NA	'E'	0	0	NA	NA	0
0	1	0	1	0	'E'	1	0	1	0	1
1	1	4	1	2	'E'	0	3	0	1	4
1	1	0	1	1	'E'	0	-1	0	0	0
1	0	0	1	0	'E'	-1	-1	0	-1	-1
0	0	2	1	2	'E'	0	2	1	2	2
0	1	0	0	1	'E'	1	0	0	1	1
0	1	0	1	2	'E'	1	0	1	2	1
0	0	0	0	0	'E'	0	0	0	0	0
1	1	4	1	1	'E'	0	3	0	0	4
1	1	4	1	2	'E'	0	3	0	1	4
0	1	2	0	0	'S'	1	2	0	0	3
0	1	0	0	0	'S'	1	0	0	0	1
0	1	0	0	0	'S'	1	0	0	0	1
0	1	4	0	0	'S'	1	4	0	0	5
1	1	0	1	2	'S'	0	-1	0	1	0
1	0	0	1	2	'S'	-1	-1	0	1	-1
0	0	1	1	2	'S'	0	1	1	2	1
1	1	2	1	2	'S'	0	1	0	1	2
1	0	0	1	2	'S'	-1	-1	0	1	-1
1	1	2	1	2	'S'	0	1	0	1	2
0	0	0	1	2	'S'	0	0	1	2	0
0	0	4	1	2	'S'	0	4	1	2	4
0	0	4	1	2	'S'	0	4	1	2	4
1	0	0	1	2	'S'	-1	-1	0	1	-1
0	0	0	NA	NA	'S'	0	0	NA	NA	0
0	0	4	1	2	'S'	0	4	1	2	4
1	0	0	NA	NA	'S'	-1	-1	NA	NA	-1
1	1	4	1	2	'S'	0	3	0	1	4
0	0	2	1	2	'S'	0	2	1	2	2
0	0	2	NA	NA	'S'	0	2	NA	NA	2
1	1	0	0	0	'S'	0	-1	-1	-1	0
1	1	0	1	2	'S'	0	-1	0	1	0
1	1	4	NA	NA	'S'	0	3	NA	NA	4
0	1	0	1	2	'S'	1	0	1	2	1
1	1	0	1	2	'S'	0	-1	0	1	0
1	1	0	1	2	'S'	0	-1	0	1	0
1	1	4	1	2	'S'	0	3	0	1	4
1	1	4	1	2	'S'	0	3	0	1	4
0	0	0	NA	NA	'S'	0	0	NA	NA	0
0	0	0	0	0	'S'	0	0	0	0	0
1	1	2	0	0	'S'	0	1	-1	-1	2
0	0	1	1	2	'S'	0	1	1	2	1
0	0	0	0	0	'S'	0	0	0	0	0
0	0	2	1	2	'S'	0	2	1	2	2
0	1	1	0	0	'S'	1	1	0	0	2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90816&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]2 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=90816&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90816&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






ANOVA Model
post1-pre ~ Treatment
means0.364-0.306-0.256

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
post1-pre  ~  Treatment \tabularnewline
means & 0.364 & -0.306 & -0.256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90816&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]post1-pre  ~  Treatment[/C][/ROW]
[ROW][C]means[/C][C]0.364[/C][C]-0.306[/C][C]-0.256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90816&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90816&T=1

As an alternative you can also use a QR Code:  
QR Code


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

ANOVA Model
post1-pre ~ Treatment
means0.364-0.306-0.256






ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Treatment21.8250.9123.1990.045
Residuals10229.090.285 

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
Treatment & 2 & 1.825 & 0.912 & 3.199 & 0.045 \tabularnewline
Residuals & 102 & 29.09 & 0.285 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90816&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]Treatment[/C][C]2[/C][C]1.825[/C][C]0.912[/C][C]3.199[/C][C]0.045[/C][/ROW]
[ROW][C]Residuals[/C][C]102[/C][C]29.09[/C][C]0.285[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90816&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90816&T=2

As an alternative you can also use a QR Code:  
QR Code


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

ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Treatment21.8250.9123.1990.045
Residuals10229.090.285






Tukey Honest Significant Difference Comparisons
difflwruprp adj
S-E-0.306-0.6150.0020.052
T-E-0.256-0.560.0490.118
T-S0.051-0.2490.350.914

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
S-E & -0.306 & -0.615 & 0.002 & 0.052 \tabularnewline
T-E & -0.256 & -0.56 & 0.049 & 0.118 \tabularnewline
T-S & 0.051 & -0.249 & 0.35 & 0.914 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90816&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]S-E[/C][C]-0.306[/C][C]-0.615[/C][C]0.002[/C][C]0.052[/C][/ROW]
[ROW][C]T-E[/C][C]-0.256[/C][C]-0.56[/C][C]0.049[/C][C]0.118[/C][/ROW]
[ROW][C]T-S[/C][C]0.051[/C][C]-0.249[/C][C]0.35[/C][C]0.914[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90816&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90816&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Tukey Honest Significant Difference Comparisons
difflwruprp adj
S-E-0.306-0.6150.0020.052
T-E-0.256-0.560.0490.118
T-S0.051-0.2490.350.914






Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group21.110.334
102 

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 2 & 1.11 & 0.334 \tabularnewline
  & 102 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90816&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]1.11[/C][C]0.334[/C][/ROW]
[ROW][C] [/C][C]102[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90816&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90816&T=4

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

Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group21.110.334
102


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = TRUE ;
Parameters (R input):
par1 = 7 ; par2 = 6 ; 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')