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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 computationTue, 21 Oct 2014 09:30:46 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/21/t1413880265fpdvbhae0nffzkv.htm/, Retrieved Sat, 11 May 2024 15:49:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=244345, Retrieved Sat, 11 May 2024 15:49:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact263
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] [b98453cac15ba1066b407e146608df68]
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-21 08:30:46] [63a9f0ea7bb98050796b649e85481845] [Current]
-   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]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 7 LT-KT a] [2014-10-29 18:47:04] [c91e4c88cfd8ec1fc4fb1878ec426fb8]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 7 LT-KT b] [2014-10-29 18:47:49] [c91e4c88cfd8ec1fc4fb1878ec426fb8]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 19:29:45] [02fb6cbf799bcf1e525e4e01c2f27ada]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 19:41:56] [93cb0d178904cf975da218b7c929e42d]
- R PD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 21:44:49] [cc401d1001c65f55a3dfc6f2420e9570]
- RMPD      [Two-Way ANOVA] [WS 5.8] [2014-10-29 22:42:24] [27d418b925e6b9b020a05307ec6c6034]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7.2] [2014-10-30 07:34:18] [ce9f16fa58bb2303d66047ab4343b505]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [queston 7 - lange...] [2014-10-30 09:13:41] [1e921ed6280e31020168fe5cd3fc7265]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 09:26:32] [1a6d42b46b3d01bc960fcfb45e99fecd]
- R P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [T7 WS5 LT-KT] [2014-10-30 09:56:15] [56d77bf8347cfd1e104fa9098ce46dbd]
- R P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5.7 LKT] [2014-10-30 09:58:43] [27d418b925e6b9b020a05307ec6c6034]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 12:12:06] [4c4ebb0b36a379d1d949ba77427e658a]
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 15:31:36] [18108d1ac0353540c4304edbd3652e0f]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [a] [2014-10-30 15:45:07] [118a39334d200089014f927b57d44a19]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 15:55:35] [8d160a85bfd9526a7d0e42afc5fb569b]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5 task 7 KTLT] [2014-10-30 16:47:03] [fa1b8827d7de91b8b87087311d3d9fa1]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 16:48:32] [69bf0eb8b9b38defaaf4848d8c317571]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 17:12:31] [78252ca1523d3477f114bddbfa59edb4]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 question 7] [2014-10-30 17:15:38] [67894a4ff6098ffac356bc81e6028257]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA] [2014-10-30 18:29:35] [3d5212c89039da1a3a24d8e18d23c716]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ws5-que6] [2014-10-30 18:33:21] [55c1befec93c91d3068a87706a208f8c]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [jgfsd] [2014-10-30 18:36:14] [55c1befec93c91d3068a87706a208f8c]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ws 5 (13)] [2014-10-30 18:36:38] [55a850ac261e4a7d4f206113c00d6f60]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [S5] [2014-10-30 18:55:53] [1651e47f7f65f3a10bbbb444d4b26be7]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 19:44:47] [044144d0728beecdb08e0d94daaff202]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 20:07:54] [f12bfb29749f0c3f544bf278d0782c85]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-30 20:09:30] [f12bfb29749f0c3f544bf278d0782c85]

[Truncated]
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Dataseries X:
'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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244345&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]1 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=244345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244345&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







ANOVA Model
post2-post1 ~ treat
means-0.171-0.1410.04

\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=244345&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=244345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244345&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-0.171-0.1410.04







ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
treat20.6110.3060.7390.48
Residuals10242.1890.414

\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=244345&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=244345&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244345&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)
treat20.6110.3060.7390.48
Residuals10242.1890.414







Tukey Honest Significant Difference Comparisons
difflwruprp adj
CSWE-C-0.141-0.5150.2330.644
WWE-C0.04-0.3190.3980.962
WWE-CSWE0.181-0.1860.5480.472

\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=244345&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=244345&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244345&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
CSWE-C-0.141-0.5150.2330.644
WWE-C0.04-0.3190.3980.962
WWE-CSWE0.181-0.1860.5480.472







Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group21.2230.299
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=244345&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=244345&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244345&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)
Group21.2230.299
102



Parameters (Session):
par1 = 7 ; par2 = 1 ; 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')