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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, 23 Jan 2012 09:37:36 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jan/23/t13273296742do0hdrd4s3ncfv.htm/, Retrieved Wed, 08 May 2024 23:31:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161310, Retrieved Wed, 08 May 2024 23:31:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Test of Two Means] [2009-11-10 17:16:17] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Aston University Statistical Software] [Compare Two Means] [2009-11-11 08:09:40] [74be16979710d4c4e7c6647856088456]
-    D    [Aston University Statistical Software] [PY2236 Week 6 dat...] [2009-11-11 12:53:10] [74be16979710d4c4e7c6647856088456]
-   P       [T-Tests] [Week 9 PY2236] [2010-11-24 14:41:08] [74be16979710d4c4e7c6647856088456]
-    D        [T-Tests] [PY2236 Week 9 Dat...] [2010-11-30 18:04:40] [74be16979710d4c4e7c6647856088456]
- RMPD          [T-Tests] [Part 1 categeory ...] [2012-01-23 14:05:10] [a4caa626434360c3dd87349f301be56d]
- RMPD              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Part 1 categeory ...] [2012-01-23 14:37:36] [0a2565fd5e770bdc06b465fc72a06913] [Current]
- R P                 [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [part 1 category v...] [2012-01-23 14:42:17] [a4caa626434360c3dd87349f301be56d]
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Dataseries X:
11	1	7	5
12	0	6	6
12	0	10	2
12	0	9	3
12	0	7	5
12	0	9	3
11	1	8	4
10	2	8	4
8	4	6	6
9	3	11	1
12	0	8	4
11	1	12	0
12	0	10	2
12	0	8	4
12	0	10	2
12	0	9	3
12	0	8	4
11	1	9	3
12	0	12	0
11	1	9	3
12	0	5	7
11	1	9	3
12	0	8	4
11	1	10	2
12	0	10	2
12	0	5	7
11	1	11	1
11	1	11	1
12	0	11	1
10	2	7	5
12	0	8	4
5	7	5	7
12	0	6	6
12	0	9	3
12	0	11	1
12	0	11	1
12	0	11	1
12	0	11	1
12	0	9	3
12	0	8	4
12	0	11	1
10	2	9	3
12	0	5	7
11	1	8	4
12	0	10	2
11	1	8	4
12	0	8	4
12	0	9	3
12	0	9	3
4	8	5	7
11	1	7	5
10	2	12	0
12	0	10	2
12	0	8	4
3	9	6	6
12	0	9	3
8	4	7	5
2	10	8	4
7	5	2	10
9	3	7	5
10	2	6	6
12	0	10	2
12	0	10	2
9	3	6	6
10	2	10	2
10	2	10	2
11	1	8	4
9	3	8	4
11	1	9	3
10	2	9	3
11	1	10	2
11	1	10	2
12	0	12	0
12	0	11	1
11	1	9	3
6	6	7	5
12	0	9	3
8	4	7	5
12	0	11	1
11	1	10	2
12	0	8	4
11	1	7	5
12	0	12	0
11	1	9	3
12	0	12	0
5	7	2	10
4	8	7	5
12	0	12	0
8	4	8	4
12	0	8	4
12	0	10	2
12	0	10	2
10	2	10	2
11	1	10	2
11	1	4	8
10	2	5	7
6	6	6	6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161310&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161310&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161310&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







ANOVA Model
P1Cat ~ P1Noncat
means12-1-10-2-3-4-5-6-7-8-9

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
P1Cat  ~  P1Noncat \tabularnewline
means & 12 & -1 & -10 & -2 & -3 & -4 & -5 & -6 & -7 & -8 & -9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161310&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]P1Cat  ~  P1Noncat[/C][/ROW]
[ROW][C]means[/C][C]12[/C][C]-1[/C][C]-10[/C][C]-2[/C][C]-3[/C][C]-4[/C][C]-5[/C][C]-6[/C][C]-7[/C][C]-8[/C][C]-9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161310&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161310&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
P1Cat ~ P1Noncat
means12-1-10-2-3-4-5-6-7-8-9







ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
P1Noncat10475.3247.5324.06637098186836e+310
Residuals8600

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
P1Noncat & 10 & 475.32 & 47.532 & 4.06637098186836e+31 & 0 \tabularnewline
Residuals & 86 & 0 & 0 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161310&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]P1Noncat[/C][C]10[/C][C]475.32[/C][C]47.532[/C][C]4.06637098186836e+31[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]86[/C][C]0[/C][C]0[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161310&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161310&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
DfSum SqMean SqF valuePr(>F)
P1Noncat10475.3247.5324.06637098186836e+310
Residuals8600







Tukey Honest Significant Difference Comparisons
difflwruprp adj
1-0-1-1-10
10-0-10-10-100
2-0-2-2-20
3-0-3-3-30
4-0-4-4-40
5-0-5-5-50
6-0-6-6-60
7-0-7-7-70
8-0-8-8-80
9-0-9-9-90
10-1-9-9-90
2-1-1-1-10
3-1-2-2-20
4-1-3-3-30
5-1-4-4-40
6-1-5-5-50
7-1-6-6-60
8-1-7-7-70
9-1-8-8-80
2-108880
3-107770
4-106660
5-105550
6-104440
7-103330
8-102220
9-101110
3-2-1-1-10
4-2-2-2-20
5-2-3-3-30
6-2-4-4-40
7-2-5-5-50
8-2-6-6-60
9-2-7-7-70
4-3-1-1-10
5-3-2-2-20
6-3-3-3-30
7-3-4-4-40
8-3-5-5-50
9-3-6-6-60
5-4-1-1-10
6-4-2-2-20
7-4-3-3-30
8-4-4-4-40
9-4-5-5-50
6-5-1-1-10
7-5-2-2-20
8-5-3-3-30
9-5-4-4-40
7-6-1-1-10
8-6-2-2-20
9-6-3-3-30
8-7-1-1-10
9-7-2-2-20
9-8-1-1-10

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
1-0 & -1 & -1 & -1 & 0 \tabularnewline
10-0 & -10 & -10 & -10 & 0 \tabularnewline
2-0 & -2 & -2 & -2 & 0 \tabularnewline
3-0 & -3 & -3 & -3 & 0 \tabularnewline
4-0 & -4 & -4 & -4 & 0 \tabularnewline
5-0 & -5 & -5 & -5 & 0 \tabularnewline
6-0 & -6 & -6 & -6 & 0 \tabularnewline
7-0 & -7 & -7 & -7 & 0 \tabularnewline
8-0 & -8 & -8 & -8 & 0 \tabularnewline
9-0 & -9 & -9 & -9 & 0 \tabularnewline
10-1 & -9 & -9 & -9 & 0 \tabularnewline
2-1 & -1 & -1 & -1 & 0 \tabularnewline
3-1 & -2 & -2 & -2 & 0 \tabularnewline
4-1 & -3 & -3 & -3 & 0 \tabularnewline
5-1 & -4 & -4 & -4 & 0 \tabularnewline
6-1 & -5 & -5 & -5 & 0 \tabularnewline
7-1 & -6 & -6 & -6 & 0 \tabularnewline
8-1 & -7 & -7 & -7 & 0 \tabularnewline
9-1 & -8 & -8 & -8 & 0 \tabularnewline
2-10 & 8 & 8 & 8 & 0 \tabularnewline
3-10 & 7 & 7 & 7 & 0 \tabularnewline
4-10 & 6 & 6 & 6 & 0 \tabularnewline
5-10 & 5 & 5 & 5 & 0 \tabularnewline
6-10 & 4 & 4 & 4 & 0 \tabularnewline
7-10 & 3 & 3 & 3 & 0 \tabularnewline
8-10 & 2 & 2 & 2 & 0 \tabularnewline
9-10 & 1 & 1 & 1 & 0 \tabularnewline
3-2 & -1 & -1 & -1 & 0 \tabularnewline
4-2 & -2 & -2 & -2 & 0 \tabularnewline
5-2 & -3 & -3 & -3 & 0 \tabularnewline
6-2 & -4 & -4 & -4 & 0 \tabularnewline
7-2 & -5 & -5 & -5 & 0 \tabularnewline
8-2 & -6 & -6 & -6 & 0 \tabularnewline
9-2 & -7 & -7 & -7 & 0 \tabularnewline
4-3 & -1 & -1 & -1 & 0 \tabularnewline
5-3 & -2 & -2 & -2 & 0 \tabularnewline
6-3 & -3 & -3 & -3 & 0 \tabularnewline
7-3 & -4 & -4 & -4 & 0 \tabularnewline
8-3 & -5 & -5 & -5 & 0 \tabularnewline
9-3 & -6 & -6 & -6 & 0 \tabularnewline
5-4 & -1 & -1 & -1 & 0 \tabularnewline
6-4 & -2 & -2 & -2 & 0 \tabularnewline
7-4 & -3 & -3 & -3 & 0 \tabularnewline
8-4 & -4 & -4 & -4 & 0 \tabularnewline
9-4 & -5 & -5 & -5 & 0 \tabularnewline
6-5 & -1 & -1 & -1 & 0 \tabularnewline
7-5 & -2 & -2 & -2 & 0 \tabularnewline
8-5 & -3 & -3 & -3 & 0 \tabularnewline
9-5 & -4 & -4 & -4 & 0 \tabularnewline
7-6 & -1 & -1 & -1 & 0 \tabularnewline
8-6 & -2 & -2 & -2 & 0 \tabularnewline
9-6 & -3 & -3 & -3 & 0 \tabularnewline
8-7 & -1 & -1 & -1 & 0 \tabularnewline
9-7 & -2 & -2 & -2 & 0 \tabularnewline
9-8 & -1 & -1 & -1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161310&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]1-0[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]10-0[/C][C]-10[/C][C]-10[/C][C]-10[/C][C]0[/C][/ROW]
[ROW][C]2-0[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]3-0[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]4-0[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]5-0[/C][C]-5[/C][C]-5[/C][C]-5[/C][C]0[/C][/ROW]
[ROW][C]6-0[/C][C]-6[/C][C]-6[/C][C]-6[/C][C]0[/C][/ROW]
[ROW][C]7-0[/C][C]-7[/C][C]-7[/C][C]-7[/C][C]0[/C][/ROW]
[ROW][C]8-0[/C][C]-8[/C][C]-8[/C][C]-8[/C][C]0[/C][/ROW]
[ROW][C]9-0[/C][C]-9[/C][C]-9[/C][C]-9[/C][C]0[/C][/ROW]
[ROW][C]10-1[/C][C]-9[/C][C]-9[/C][C]-9[/C][C]0[/C][/ROW]
[ROW][C]2-1[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]3-1[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]4-1[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]5-1[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]6-1[/C][C]-5[/C][C]-5[/C][C]-5[/C][C]0[/C][/ROW]
[ROW][C]7-1[/C][C]-6[/C][C]-6[/C][C]-6[/C][C]0[/C][/ROW]
[ROW][C]8-1[/C][C]-7[/C][C]-7[/C][C]-7[/C][C]0[/C][/ROW]
[ROW][C]9-1[/C][C]-8[/C][C]-8[/C][C]-8[/C][C]0[/C][/ROW]
[ROW][C]2-10[/C][C]8[/C][C]8[/C][C]8[/C][C]0[/C][/ROW]
[ROW][C]3-10[/C][C]7[/C][C]7[/C][C]7[/C][C]0[/C][/ROW]
[ROW][C]4-10[/C][C]6[/C][C]6[/C][C]6[/C][C]0[/C][/ROW]
[ROW][C]5-10[/C][C]5[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]6-10[/C][C]4[/C][C]4[/C][C]4[/C][C]0[/C][/ROW]
[ROW][C]7-10[/C][C]3[/C][C]3[/C][C]3[/C][C]0[/C][/ROW]
[ROW][C]8-10[/C][C]2[/C][C]2[/C][C]2[/C][C]0[/C][/ROW]
[ROW][C]9-10[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]3-2[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]4-2[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]5-2[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]6-2[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]7-2[/C][C]-5[/C][C]-5[/C][C]-5[/C][C]0[/C][/ROW]
[ROW][C]8-2[/C][C]-6[/C][C]-6[/C][C]-6[/C][C]0[/C][/ROW]
[ROW][C]9-2[/C][C]-7[/C][C]-7[/C][C]-7[/C][C]0[/C][/ROW]
[ROW][C]4-3[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]5-3[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]6-3[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]7-3[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]8-3[/C][C]-5[/C][C]-5[/C][C]-5[/C][C]0[/C][/ROW]
[ROW][C]9-3[/C][C]-6[/C][C]-6[/C][C]-6[/C][C]0[/C][/ROW]
[ROW][C]5-4[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]6-4[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]7-4[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]8-4[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]9-4[/C][C]-5[/C][C]-5[/C][C]-5[/C][C]0[/C][/ROW]
[ROW][C]6-5[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]7-5[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]8-5[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]9-5[/C][C]-4[/C][C]-4[/C][C]-4[/C][C]0[/C][/ROW]
[ROW][C]7-6[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]8-6[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]9-6[/C][C]-3[/C][C]-3[/C][C]-3[/C][C]0[/C][/ROW]
[ROW][C]8-7[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[ROW][C]9-7[/C][C]-2[/C][C]-2[/C][C]-2[/C][C]0[/C][/ROW]
[ROW][C]9-8[/C][C]-1[/C][C]-1[/C][C]-1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161310&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161310&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
difflwruprp adj
1-0-1-1-10
10-0-10-10-100
2-0-2-2-20
3-0-3-3-30
4-0-4-4-40
5-0-5-5-50
6-0-6-6-60
7-0-7-7-70
8-0-8-8-80
9-0-9-9-90
10-1-9-9-90
2-1-1-1-10
3-1-2-2-20
4-1-3-3-30
5-1-4-4-40
6-1-5-5-50
7-1-6-6-60
8-1-7-7-70
9-1-8-8-80
2-108880
3-107770
4-106660
5-105550
6-104440
7-103330
8-102220
9-101110
3-2-1-1-10
4-2-2-2-20
5-2-3-3-30
6-2-4-4-40
7-2-5-5-50
8-2-6-6-60
9-2-7-7-70
4-3-1-1-10
5-3-2-2-20
6-3-3-3-30
7-3-4-4-40
8-3-5-5-50
9-3-6-6-60
5-4-1-1-10
6-4-2-2-20
7-4-3-3-30
8-4-4-4-40
9-4-5-5-50
6-5-1-1-10
7-5-2-2-20
8-5-3-3-30
9-5-4-4-40
7-6-1-1-10
8-6-2-2-20
9-6-3-3-30
8-7-1-1-10
9-7-2-2-20
9-8-1-1-10







Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group10NaNNaN
86

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 10 & NaN & NaN \tabularnewline
  & 86 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161310&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]10[/C][C]NaN[/C][C]NaN[/C][/ROW]
[ROW][C] [/C][C]86[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161310&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161310&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
DfF valuePr(>F)
Group10NaNNaN
86



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