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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_One Factor ANOVA.wasp
Title produced by softwareOne-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computationFri, 08 Nov 2013 05:38:53 -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/2013/Nov/08/t13839071912o0t0a0g4vh3u71.htm/, Retrieved Thu, 02 May 2024 02:10:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=223443, Retrieved Thu, 02 May 2024 02:10:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2013-11-08 10:34:54] [74be16979710d4c4e7c6647856088456]
-    D              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2013-11-08 10:38:53] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36	1
36	1
56	2
48	2
32	2
44	1
39	2
34	2
41	3
50	3
39	1
62	3
52	2
37	3
50	2
41	1
55	2
41	2
56	3
39	2
52	1
46	2
44	2
48	2
41	2
50	3
50	3
44	2
52	1
54	2
44	2
52	3
37	2
52	3
50	3
36	1
50	1
52	3
55	3
31	2
36	1
49	1
42	1
37	2
41	2
30	1
52	1
30	3
41	2
44	1
66	2
48	3
43	2
57	2
46	1
54	3
48	3
48	2
52	1
62	1
58	3
58	2
62	2
48	2
46	2
34	1
66	2
52	3
55	2
55	1
57	3
56	1
55	2
56	3
54	1
55	3
46	2
52	1
32	2
44	1
46	2
59	2
46	3
46	3
54	3
66	3
56	2
59	2
57	2
52	3
48	1
44	3
41	2
50	1
48	3
48	2
59	2
34	
46	2
54	2
55	2
54	3
59	2
44	2
54	3
52	3
66	3
44	2
57	2
39	1
60	3
45	2
41	2
50	2
39	2
43	2
48	1
37	2
58	2
46	1
43	1
44	2
34	3
30	1
50	3
39	1
37	2
55	2
48	3
41	
39	1
36	3
43	2
50	3
55	2
43	2
60	3
48	2
30	3
43	2
39	1
52	2
39	1
39	1
56	1
59	1
46	2
57	2
50	2
54	1
50	3
60	3
59	3
41	2
48	1
59	2
60	3
56	2
56	2
51	1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223443&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223443&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223443&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 time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






ANOVA Model
MC30VRB ~ MWARM30
means45.8892.5044.833-42.889-43.889-44.889-43.556-43.389-44.389-43.889-42.889-27.889-43.889-44.389-42.889-43.889-43.889-43.889-43.889-42.889-44.889-42.889

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
MC30VRB  ~  MWARM30 \tabularnewline
means & 45.889 & 2.504 & 4.833 & -42.889 & -43.889 & -44.889 & -43.556 & -43.389 & -44.389 & -43.889 & -42.889 & -27.889 & -43.889 & -44.389 & -42.889 & -43.889 & -43.889 & -43.889 & -43.889 & -42.889 & -44.889 & -42.889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223443&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]MC30VRB  ~  MWARM30[/C][/ROW]
[ROW][C]means[/C][C]45.889[/C][C]2.504[/C][C]4.833[/C][C]-42.889[/C][C]-43.889[/C][C]-44.889[/C][C]-43.556[/C][C]-43.389[/C][C]-44.389[/C][C]-43.889[/C][C]-42.889[/C][C]-27.889[/C][C]-43.889[/C][C]-44.389[/C][C]-42.889[/C][C]-43.889[/C][C]-43.889[/C][C]-43.889[/C][C]-43.889[/C][C]-42.889[/C][C]-44.889[/C][C]-42.889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223443&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223443&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
MC30VRB ~ MWARM30
means45.8892.5044.833-42.889-43.889-44.889-43.556-43.389-44.389-43.889-42.889-27.889-43.889-44.389-42.889-43.889-43.889-43.889-43.889-42.889-44.889-42.889






ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MWARM302153396.4732542.68938.0150
Residuals1389230.30266.886 

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MWARM30 & 21 & 53396.473 & 2542.689 & 38.015 & 0 \tabularnewline
Residuals & 138 & 9230.302 & 66.886 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223443&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]MWARM30[/C][C]21[/C][C]53396.473[/C][C]2542.689[/C][C]38.015[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]138[/C][C]9230.302[/C][C]66.886[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223443&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223443&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)
MWARM302153396.4732542.68938.0150
Residuals1389230.30266.886






Tukey Honest Significant Difference Comparisons
difflwruprp adj
2-12.504-3.98.9080.998
3-14.833-2.23311.90.627
30-1-42.889-73.282-12.4960
34-1-43.889-74.282-13.4960
37-1-44.889-66.669-23.1090
39-1-43.556-61.571-25.540
41-1-43.389-65.169-21.6090
43-1-44.389-66.169-22.6090
44-1-43.889-61.904-25.8730
45-1-42.889-73.282-12.4960
46-1-27.889-49.669-6.1090.001
48-1-43.889-65.669-22.1090
50-1-44.389-66.169-22.6090
52-1-42.889-73.282-12.4960
54-1-43.889-61.904-25.8730
55-1-43.889-65.669-22.1090
57-1-43.889-74.282-13.4960
58-1-43.889-74.282-13.4960
59-1-42.889-73.282-12.4960
60-1-44.889-75.282-14.4960
66-1-42.889-73.282-12.4960
3-22.329-4.0758.7340.999
30-2-45.393-75.639-15.1470
34-2-46.393-76.639-16.1470
37-2-47.393-68.967-25.8190
39-2-46.06-63.826-28.2930
41-2-45.893-67.467-24.3190
43-2-46.893-68.467-25.3190
44-2-46.393-64.159-28.6260
45-2-45.393-75.639-15.1470
46-2-30.393-51.967-8.8190
48-2-46.393-67.967-24.8190
50-2-46.893-68.467-25.3190
52-2-45.393-75.639-15.1470
54-2-46.393-64.159-28.6260
55-2-46.393-67.967-24.8190
57-2-46.393-76.639-16.1470
58-2-46.393-76.639-16.1470
59-2-45.393-75.639-15.1470
60-2-47.393-77.639-17.1470
66-2-45.393-75.639-15.1470
30-3-47.722-78.116-17.3290
34-3-48.722-79.116-18.3290
37-3-49.722-71.502-27.9420
39-3-48.389-66.404-30.3730
41-3-48.222-70.002-26.4420
43-3-49.222-71.002-27.4420
44-3-48.722-66.738-30.7070
45-3-47.722-78.116-17.3290
46-3-32.722-54.502-10.9420
48-3-48.722-70.502-26.9420
50-3-49.222-71.002-27.4420
52-3-47.722-78.116-17.3290
54-3-48.722-66.738-30.7070
55-3-48.722-70.502-26.9420
57-3-48.722-79.116-18.3290
58-3-48.722-79.116-18.3290
59-3-47.722-78.116-17.3290
60-3-49.722-80.116-19.3290
66-3-47.722-78.116-17.3290
34-30-1-43.39841.3981
37-30-2-38.71834.7181
39-30-0.667-35.28433.9511
41-30-0.5-37.21836.2181
43-30-1.5-38.21835.2181
44-30-1-35.61833.6181
45-300-42.39842.3981
46-3015-21.71851.7180.997
48-30-1-37.71835.7181
50-30-1.5-38.21835.2181
52-300-42.39842.3981
54-30-1-35.61833.6181
55-30-1-37.71835.7181
57-30-1-43.39841.3981
58-30-1-43.39841.3981
59-300-42.39842.3981
60-30-2-44.39840.3981
66-300-42.39842.3981
37-34-1-37.71835.7181
39-340.333-34.28434.9511
41-340.5-36.21837.2181
43-34-0.5-37.21836.2181
44-340-34.61834.6181
45-341-41.39843.3981
46-3416-20.71852.7180.993
48-340-36.71836.7181
50-34-0.5-37.21836.2181
52-341-41.39843.3981
54-340-34.61834.6181
55-340-36.71836.7181
57-340-42.39842.3981
58-340-42.39842.3981
59-341-41.39843.3981
60-34-1-43.39841.3981
66-341-41.39843.3981
39-371.333-26.03428.7011
41-371.5-28.4831.481
43-370.5-29.4830.481
44-371-26.36828.3681
45-372-34.71838.7181
46-3717-12.9846.980.892
48-371-28.9830.981
50-370.5-29.4830.481
52-372-34.71838.7181
54-371-26.36828.3681
55-371-28.9830.981
57-371-35.71837.7181
58-371-35.71837.7181
59-372-34.71838.7181
60-370-36.71836.7181
66-372-34.71838.7181
41-390.167-27.20127.5341
43-39-0.833-28.20126.5341
44-39-0.333-24.81224.1451
45-390.667-33.95135.2841
46-3915.667-11.70143.0340.883
48-39-0.333-27.70127.0341
50-39-0.833-28.20126.5341
52-390.667-33.95135.2841
54-39-0.333-24.81224.1451
55-39-0.333-27.70127.0341
57-39-0.333-34.95134.2841
58-39-0.333-34.95134.2841
59-390.667-33.95135.2841
60-39-1.333-35.95133.2841
66-390.667-33.95135.2841
43-41-1-30.9828.981
44-41-0.5-27.86826.8681
45-410.5-36.21837.2181
46-4115.5-14.4845.480.953
48-41-0.5-30.4829.481
50-41-1-30.9828.981
52-410.5-36.21837.2181
54-41-0.5-27.86826.8681
55-41-0.5-30.4829.481
57-41-0.5-37.21836.2181
58-41-0.5-37.21836.2181
59-410.5-36.21837.2181
60-41-1.5-38.21835.2181
66-410.5-36.21837.2181
44-430.5-26.86827.8681
45-431.5-35.21838.2181
46-4316.5-13.4846.480.916
48-430.5-29.4830.481
50-430-29.9829.981
52-431.5-35.21838.2181
54-430.5-26.86827.8681
55-430.5-29.4830.481
57-430.5-36.21837.2181
58-430.5-36.21837.2181
59-431.5-35.21838.2181
60-43-0.5-37.21836.2181
66-431.5-35.21838.2181
45-441-33.61835.6181
46-4416-11.36843.3680.862
48-440-27.36827.3681
50-44-0.5-27.86826.8681
52-441-33.61835.6181
54-440-24.47824.4781
55-440-27.36827.3681
57-440-34.61834.6181
58-440-34.61834.6181
59-441-33.61835.6181
60-44-1-35.61833.6181
66-441-33.61835.6181
46-4515-21.71851.7180.997
48-45-1-37.71835.7181
50-45-1.5-38.21835.2181
52-450-42.39842.3981
54-45-1-35.61833.6181
55-45-1-37.71835.7181
57-45-1-43.39841.3981
58-45-1-43.39841.3981
59-450-42.39842.3981
60-45-2-44.39840.3981
66-450-42.39842.3981
48-46-16-45.9813.980.936
50-46-16.5-46.4813.480.916
52-46-15-51.71821.7180.997
54-46-16-43.36811.3680.862
55-46-16-45.9813.980.936
57-46-16-52.71820.7180.993
58-46-16-52.71820.7180.993
59-46-15-51.71821.7180.997
60-46-17-53.71819.7180.985
66-46-15-51.71821.7180.997
50-48-0.5-30.4829.481
52-481-35.71837.7181
54-480-27.36827.3681
55-480-29.9829.981
57-480-36.71836.7181
58-480-36.71836.7181
59-481-35.71837.7181
60-48-1-37.71835.7181
66-481-35.71837.7181
52-501.5-35.21838.2181
54-500.5-26.86827.8681
55-500.5-29.4830.481
57-500.5-36.21837.2181
58-500.5-36.21837.2181
59-501.5-35.21838.2181
60-50-0.5-37.21836.2181
66-501.5-35.21838.2181
54-52-1-35.61833.6181
55-52-1-37.71835.7181
57-52-1-43.39841.3981
58-52-1-43.39841.3981
59-520-42.39842.3981
60-52-2-44.39840.3981
66-520-42.39842.3981
55-540-27.36827.3681
57-540-34.61834.6181
58-540-34.61834.6181
59-541-33.61835.6181
60-54-1-35.61833.6181
66-541-33.61835.6181
57-550-36.71836.7181
58-550-36.71836.7181
59-551-35.71837.7181
60-55-1-37.71835.7181
66-551-35.71837.7181
58-570-42.39842.3981
59-571-41.39843.3981
60-57-1-43.39841.3981
66-571-41.39843.3981
59-581-41.39843.3981
60-58-1-43.39841.3981
66-581-41.39843.3981
60-59-2-44.39840.3981
66-590-42.39842.3981
66-602-40.39844.3981

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
2-1 & 2.504 & -3.9 & 8.908 & 0.998 \tabularnewline
3-1 & 4.833 & -2.233 & 11.9 & 0.627 \tabularnewline
30-1 & -42.889 & -73.282 & -12.496 & 0 \tabularnewline
34-1 & -43.889 & -74.282 & -13.496 & 0 \tabularnewline
37-1 & -44.889 & -66.669 & -23.109 & 0 \tabularnewline
39-1 & -43.556 & -61.571 & -25.54 & 0 \tabularnewline
41-1 & -43.389 & -65.169 & -21.609 & 0 \tabularnewline
43-1 & -44.389 & -66.169 & -22.609 & 0 \tabularnewline
44-1 & -43.889 & -61.904 & -25.873 & 0 \tabularnewline
45-1 & -42.889 & -73.282 & -12.496 & 0 \tabularnewline
46-1 & -27.889 & -49.669 & -6.109 & 0.001 \tabularnewline
48-1 & -43.889 & -65.669 & -22.109 & 0 \tabularnewline
50-1 & -44.389 & -66.169 & -22.609 & 0 \tabularnewline
52-1 & -42.889 & -73.282 & -12.496 & 0 \tabularnewline
54-1 & -43.889 & -61.904 & -25.873 & 0 \tabularnewline
55-1 & -43.889 & -65.669 & -22.109 & 0 \tabularnewline
57-1 & -43.889 & -74.282 & -13.496 & 0 \tabularnewline
58-1 & -43.889 & -74.282 & -13.496 & 0 \tabularnewline
59-1 & -42.889 & -73.282 & -12.496 & 0 \tabularnewline
60-1 & -44.889 & -75.282 & -14.496 & 0 \tabularnewline
66-1 & -42.889 & -73.282 & -12.496 & 0 \tabularnewline
3-2 & 2.329 & -4.075 & 8.734 & 0.999 \tabularnewline
30-2 & -45.393 & -75.639 & -15.147 & 0 \tabularnewline
34-2 & -46.393 & -76.639 & -16.147 & 0 \tabularnewline
37-2 & -47.393 & -68.967 & -25.819 & 0 \tabularnewline
39-2 & -46.06 & -63.826 & -28.293 & 0 \tabularnewline
41-2 & -45.893 & -67.467 & -24.319 & 0 \tabularnewline
43-2 & -46.893 & -68.467 & -25.319 & 0 \tabularnewline
44-2 & -46.393 & -64.159 & -28.626 & 0 \tabularnewline
45-2 & -45.393 & -75.639 & -15.147 & 0 \tabularnewline
46-2 & -30.393 & -51.967 & -8.819 & 0 \tabularnewline
48-2 & -46.393 & -67.967 & -24.819 & 0 \tabularnewline
50-2 & -46.893 & -68.467 & -25.319 & 0 \tabularnewline
52-2 & -45.393 & -75.639 & -15.147 & 0 \tabularnewline
54-2 & -46.393 & -64.159 & -28.626 & 0 \tabularnewline
55-2 & -46.393 & -67.967 & -24.819 & 0 \tabularnewline
57-2 & -46.393 & -76.639 & -16.147 & 0 \tabularnewline
58-2 & -46.393 & -76.639 & -16.147 & 0 \tabularnewline
59-2 & -45.393 & -75.639 & -15.147 & 0 \tabularnewline
60-2 & -47.393 & -77.639 & -17.147 & 0 \tabularnewline
66-2 & -45.393 & -75.639 & -15.147 & 0 \tabularnewline
30-3 & -47.722 & -78.116 & -17.329 & 0 \tabularnewline
34-3 & -48.722 & -79.116 & -18.329 & 0 \tabularnewline
37-3 & -49.722 & -71.502 & -27.942 & 0 \tabularnewline
39-3 & -48.389 & -66.404 & -30.373 & 0 \tabularnewline
41-3 & -48.222 & -70.002 & -26.442 & 0 \tabularnewline
43-3 & -49.222 & -71.002 & -27.442 & 0 \tabularnewline
44-3 & -48.722 & -66.738 & -30.707 & 0 \tabularnewline
45-3 & -47.722 & -78.116 & -17.329 & 0 \tabularnewline
46-3 & -32.722 & -54.502 & -10.942 & 0 \tabularnewline
48-3 & -48.722 & -70.502 & -26.942 & 0 \tabularnewline
50-3 & -49.222 & -71.002 & -27.442 & 0 \tabularnewline
52-3 & -47.722 & -78.116 & -17.329 & 0 \tabularnewline
54-3 & -48.722 & -66.738 & -30.707 & 0 \tabularnewline
55-3 & -48.722 & -70.502 & -26.942 & 0 \tabularnewline
57-3 & -48.722 & -79.116 & -18.329 & 0 \tabularnewline
58-3 & -48.722 & -79.116 & -18.329 & 0 \tabularnewline
59-3 & -47.722 & -78.116 & -17.329 & 0 \tabularnewline
60-3 & -49.722 & -80.116 & -19.329 & 0 \tabularnewline
66-3 & -47.722 & -78.116 & -17.329 & 0 \tabularnewline
34-30 & -1 & -43.398 & 41.398 & 1 \tabularnewline
37-30 & -2 & -38.718 & 34.718 & 1 \tabularnewline
39-30 & -0.667 & -35.284 & 33.951 & 1 \tabularnewline
41-30 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
43-30 & -1.5 & -38.218 & 35.218 & 1 \tabularnewline
44-30 & -1 & -35.618 & 33.618 & 1 \tabularnewline
45-30 & 0 & -42.398 & 42.398 & 1 \tabularnewline
46-30 & 15 & -21.718 & 51.718 & 0.997 \tabularnewline
48-30 & -1 & -37.718 & 35.718 & 1 \tabularnewline
50-30 & -1.5 & -38.218 & 35.218 & 1 \tabularnewline
52-30 & 0 & -42.398 & 42.398 & 1 \tabularnewline
54-30 & -1 & -35.618 & 33.618 & 1 \tabularnewline
55-30 & -1 & -37.718 & 35.718 & 1 \tabularnewline
57-30 & -1 & -43.398 & 41.398 & 1 \tabularnewline
58-30 & -1 & -43.398 & 41.398 & 1 \tabularnewline
59-30 & 0 & -42.398 & 42.398 & 1 \tabularnewline
60-30 & -2 & -44.398 & 40.398 & 1 \tabularnewline
66-30 & 0 & -42.398 & 42.398 & 1 \tabularnewline
37-34 & -1 & -37.718 & 35.718 & 1 \tabularnewline
39-34 & 0.333 & -34.284 & 34.951 & 1 \tabularnewline
41-34 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
43-34 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
44-34 & 0 & -34.618 & 34.618 & 1 \tabularnewline
45-34 & 1 & -41.398 & 43.398 & 1 \tabularnewline
46-34 & 16 & -20.718 & 52.718 & 0.993 \tabularnewline
48-34 & 0 & -36.718 & 36.718 & 1 \tabularnewline
50-34 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
52-34 & 1 & -41.398 & 43.398 & 1 \tabularnewline
54-34 & 0 & -34.618 & 34.618 & 1 \tabularnewline
55-34 & 0 & -36.718 & 36.718 & 1 \tabularnewline
57-34 & 0 & -42.398 & 42.398 & 1 \tabularnewline
58-34 & 0 & -42.398 & 42.398 & 1 \tabularnewline
59-34 & 1 & -41.398 & 43.398 & 1 \tabularnewline
60-34 & -1 & -43.398 & 41.398 & 1 \tabularnewline
66-34 & 1 & -41.398 & 43.398 & 1 \tabularnewline
39-37 & 1.333 & -26.034 & 28.701 & 1 \tabularnewline
41-37 & 1.5 & -28.48 & 31.48 & 1 \tabularnewline
43-37 & 0.5 & -29.48 & 30.48 & 1 \tabularnewline
44-37 & 1 & -26.368 & 28.368 & 1 \tabularnewline
45-37 & 2 & -34.718 & 38.718 & 1 \tabularnewline
46-37 & 17 & -12.98 & 46.98 & 0.892 \tabularnewline
48-37 & 1 & -28.98 & 30.98 & 1 \tabularnewline
50-37 & 0.5 & -29.48 & 30.48 & 1 \tabularnewline
52-37 & 2 & -34.718 & 38.718 & 1 \tabularnewline
54-37 & 1 & -26.368 & 28.368 & 1 \tabularnewline
55-37 & 1 & -28.98 & 30.98 & 1 \tabularnewline
57-37 & 1 & -35.718 & 37.718 & 1 \tabularnewline
58-37 & 1 & -35.718 & 37.718 & 1 \tabularnewline
59-37 & 2 & -34.718 & 38.718 & 1 \tabularnewline
60-37 & 0 & -36.718 & 36.718 & 1 \tabularnewline
66-37 & 2 & -34.718 & 38.718 & 1 \tabularnewline
41-39 & 0.167 & -27.201 & 27.534 & 1 \tabularnewline
43-39 & -0.833 & -28.201 & 26.534 & 1 \tabularnewline
44-39 & -0.333 & -24.812 & 24.145 & 1 \tabularnewline
45-39 & 0.667 & -33.951 & 35.284 & 1 \tabularnewline
46-39 & 15.667 & -11.701 & 43.034 & 0.883 \tabularnewline
48-39 & -0.333 & -27.701 & 27.034 & 1 \tabularnewline
50-39 & -0.833 & -28.201 & 26.534 & 1 \tabularnewline
52-39 & 0.667 & -33.951 & 35.284 & 1 \tabularnewline
54-39 & -0.333 & -24.812 & 24.145 & 1 \tabularnewline
55-39 & -0.333 & -27.701 & 27.034 & 1 \tabularnewline
57-39 & -0.333 & -34.951 & 34.284 & 1 \tabularnewline
58-39 & -0.333 & -34.951 & 34.284 & 1 \tabularnewline
59-39 & 0.667 & -33.951 & 35.284 & 1 \tabularnewline
60-39 & -1.333 & -35.951 & 33.284 & 1 \tabularnewline
66-39 & 0.667 & -33.951 & 35.284 & 1 \tabularnewline
43-41 & -1 & -30.98 & 28.98 & 1 \tabularnewline
44-41 & -0.5 & -27.868 & 26.868 & 1 \tabularnewline
45-41 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
46-41 & 15.5 & -14.48 & 45.48 & 0.953 \tabularnewline
48-41 & -0.5 & -30.48 & 29.48 & 1 \tabularnewline
50-41 & -1 & -30.98 & 28.98 & 1 \tabularnewline
52-41 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
54-41 & -0.5 & -27.868 & 26.868 & 1 \tabularnewline
55-41 & -0.5 & -30.48 & 29.48 & 1 \tabularnewline
57-41 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
58-41 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
59-41 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
60-41 & -1.5 & -38.218 & 35.218 & 1 \tabularnewline
66-41 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
44-43 & 0.5 & -26.868 & 27.868 & 1 \tabularnewline
45-43 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
46-43 & 16.5 & -13.48 & 46.48 & 0.916 \tabularnewline
48-43 & 0.5 & -29.48 & 30.48 & 1 \tabularnewline
50-43 & 0 & -29.98 & 29.98 & 1 \tabularnewline
52-43 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
54-43 & 0.5 & -26.868 & 27.868 & 1 \tabularnewline
55-43 & 0.5 & -29.48 & 30.48 & 1 \tabularnewline
57-43 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
58-43 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
59-43 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
60-43 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
66-43 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
45-44 & 1 & -33.618 & 35.618 & 1 \tabularnewline
46-44 & 16 & -11.368 & 43.368 & 0.862 \tabularnewline
48-44 & 0 & -27.368 & 27.368 & 1 \tabularnewline
50-44 & -0.5 & -27.868 & 26.868 & 1 \tabularnewline
52-44 & 1 & -33.618 & 35.618 & 1 \tabularnewline
54-44 & 0 & -24.478 & 24.478 & 1 \tabularnewline
55-44 & 0 & -27.368 & 27.368 & 1 \tabularnewline
57-44 & 0 & -34.618 & 34.618 & 1 \tabularnewline
58-44 & 0 & -34.618 & 34.618 & 1 \tabularnewline
59-44 & 1 & -33.618 & 35.618 & 1 \tabularnewline
60-44 & -1 & -35.618 & 33.618 & 1 \tabularnewline
66-44 & 1 & -33.618 & 35.618 & 1 \tabularnewline
46-45 & 15 & -21.718 & 51.718 & 0.997 \tabularnewline
48-45 & -1 & -37.718 & 35.718 & 1 \tabularnewline
50-45 & -1.5 & -38.218 & 35.218 & 1 \tabularnewline
52-45 & 0 & -42.398 & 42.398 & 1 \tabularnewline
54-45 & -1 & -35.618 & 33.618 & 1 \tabularnewline
55-45 & -1 & -37.718 & 35.718 & 1 \tabularnewline
57-45 & -1 & -43.398 & 41.398 & 1 \tabularnewline
58-45 & -1 & -43.398 & 41.398 & 1 \tabularnewline
59-45 & 0 & -42.398 & 42.398 & 1 \tabularnewline
60-45 & -2 & -44.398 & 40.398 & 1 \tabularnewline
66-45 & 0 & -42.398 & 42.398 & 1 \tabularnewline
48-46 & -16 & -45.98 & 13.98 & 0.936 \tabularnewline
50-46 & -16.5 & -46.48 & 13.48 & 0.916 \tabularnewline
52-46 & -15 & -51.718 & 21.718 & 0.997 \tabularnewline
54-46 & -16 & -43.368 & 11.368 & 0.862 \tabularnewline
55-46 & -16 & -45.98 & 13.98 & 0.936 \tabularnewline
57-46 & -16 & -52.718 & 20.718 & 0.993 \tabularnewline
58-46 & -16 & -52.718 & 20.718 & 0.993 \tabularnewline
59-46 & -15 & -51.718 & 21.718 & 0.997 \tabularnewline
60-46 & -17 & -53.718 & 19.718 & 0.985 \tabularnewline
66-46 & -15 & -51.718 & 21.718 & 0.997 \tabularnewline
50-48 & -0.5 & -30.48 & 29.48 & 1 \tabularnewline
52-48 & 1 & -35.718 & 37.718 & 1 \tabularnewline
54-48 & 0 & -27.368 & 27.368 & 1 \tabularnewline
55-48 & 0 & -29.98 & 29.98 & 1 \tabularnewline
57-48 & 0 & -36.718 & 36.718 & 1 \tabularnewline
58-48 & 0 & -36.718 & 36.718 & 1 \tabularnewline
59-48 & 1 & -35.718 & 37.718 & 1 \tabularnewline
60-48 & -1 & -37.718 & 35.718 & 1 \tabularnewline
66-48 & 1 & -35.718 & 37.718 & 1 \tabularnewline
52-50 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
54-50 & 0.5 & -26.868 & 27.868 & 1 \tabularnewline
55-50 & 0.5 & -29.48 & 30.48 & 1 \tabularnewline
57-50 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
58-50 & 0.5 & -36.218 & 37.218 & 1 \tabularnewline
59-50 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
60-50 & -0.5 & -37.218 & 36.218 & 1 \tabularnewline
66-50 & 1.5 & -35.218 & 38.218 & 1 \tabularnewline
54-52 & -1 & -35.618 & 33.618 & 1 \tabularnewline
55-52 & -1 & -37.718 & 35.718 & 1 \tabularnewline
57-52 & -1 & -43.398 & 41.398 & 1 \tabularnewline
58-52 & -1 & -43.398 & 41.398 & 1 \tabularnewline
59-52 & 0 & -42.398 & 42.398 & 1 \tabularnewline
60-52 & -2 & -44.398 & 40.398 & 1 \tabularnewline
66-52 & 0 & -42.398 & 42.398 & 1 \tabularnewline
55-54 & 0 & -27.368 & 27.368 & 1 \tabularnewline
57-54 & 0 & -34.618 & 34.618 & 1 \tabularnewline
58-54 & 0 & -34.618 & 34.618 & 1 \tabularnewline
59-54 & 1 & -33.618 & 35.618 & 1 \tabularnewline
60-54 & -1 & -35.618 & 33.618 & 1 \tabularnewline
66-54 & 1 & -33.618 & 35.618 & 1 \tabularnewline
57-55 & 0 & -36.718 & 36.718 & 1 \tabularnewline
58-55 & 0 & -36.718 & 36.718 & 1 \tabularnewline
59-55 & 1 & -35.718 & 37.718 & 1 \tabularnewline
60-55 & -1 & -37.718 & 35.718 & 1 \tabularnewline
66-55 & 1 & -35.718 & 37.718 & 1 \tabularnewline
58-57 & 0 & -42.398 & 42.398 & 1 \tabularnewline
59-57 & 1 & -41.398 & 43.398 & 1 \tabularnewline
60-57 & -1 & -43.398 & 41.398 & 1 \tabularnewline
66-57 & 1 & -41.398 & 43.398 & 1 \tabularnewline
59-58 & 1 & -41.398 & 43.398 & 1 \tabularnewline
60-58 & -1 & -43.398 & 41.398 & 1 \tabularnewline
66-58 & 1 & -41.398 & 43.398 & 1 \tabularnewline
60-59 & -2 & -44.398 & 40.398 & 1 \tabularnewline
66-59 & 0 & -42.398 & 42.398 & 1 \tabularnewline
66-60 & 2 & -40.398 & 44.398 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223443&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]2-1[/C][C]2.504[/C][C]-3.9[/C][C]8.908[/C][C]0.998[/C][/ROW]
[ROW][C]3-1[/C][C]4.833[/C][C]-2.233[/C][C]11.9[/C][C]0.627[/C][/ROW]
[ROW][C]30-1[/C][C]-42.889[/C][C]-73.282[/C][C]-12.496[/C][C]0[/C][/ROW]
[ROW][C]34-1[/C][C]-43.889[/C][C]-74.282[/C][C]-13.496[/C][C]0[/C][/ROW]
[ROW][C]37-1[/C][C]-44.889[/C][C]-66.669[/C][C]-23.109[/C][C]0[/C][/ROW]
[ROW][C]39-1[/C][C]-43.556[/C][C]-61.571[/C][C]-25.54[/C][C]0[/C][/ROW]
[ROW][C]41-1[/C][C]-43.389[/C][C]-65.169[/C][C]-21.609[/C][C]0[/C][/ROW]
[ROW][C]43-1[/C][C]-44.389[/C][C]-66.169[/C][C]-22.609[/C][C]0[/C][/ROW]
[ROW][C]44-1[/C][C]-43.889[/C][C]-61.904[/C][C]-25.873[/C][C]0[/C][/ROW]
[ROW][C]45-1[/C][C]-42.889[/C][C]-73.282[/C][C]-12.496[/C][C]0[/C][/ROW]
[ROW][C]46-1[/C][C]-27.889[/C][C]-49.669[/C][C]-6.109[/C][C]0.001[/C][/ROW]
[ROW][C]48-1[/C][C]-43.889[/C][C]-65.669[/C][C]-22.109[/C][C]0[/C][/ROW]
[ROW][C]50-1[/C][C]-44.389[/C][C]-66.169[/C][C]-22.609[/C][C]0[/C][/ROW]
[ROW][C]52-1[/C][C]-42.889[/C][C]-73.282[/C][C]-12.496[/C][C]0[/C][/ROW]
[ROW][C]54-1[/C][C]-43.889[/C][C]-61.904[/C][C]-25.873[/C][C]0[/C][/ROW]
[ROW][C]55-1[/C][C]-43.889[/C][C]-65.669[/C][C]-22.109[/C][C]0[/C][/ROW]
[ROW][C]57-1[/C][C]-43.889[/C][C]-74.282[/C][C]-13.496[/C][C]0[/C][/ROW]
[ROW][C]58-1[/C][C]-43.889[/C][C]-74.282[/C][C]-13.496[/C][C]0[/C][/ROW]
[ROW][C]59-1[/C][C]-42.889[/C][C]-73.282[/C][C]-12.496[/C][C]0[/C][/ROW]
[ROW][C]60-1[/C][C]-44.889[/C][C]-75.282[/C][C]-14.496[/C][C]0[/C][/ROW]
[ROW][C]66-1[/C][C]-42.889[/C][C]-73.282[/C][C]-12.496[/C][C]0[/C][/ROW]
[ROW][C]3-2[/C][C]2.329[/C][C]-4.075[/C][C]8.734[/C][C]0.999[/C][/ROW]
[ROW][C]30-2[/C][C]-45.393[/C][C]-75.639[/C][C]-15.147[/C][C]0[/C][/ROW]
[ROW][C]34-2[/C][C]-46.393[/C][C]-76.639[/C][C]-16.147[/C][C]0[/C][/ROW]
[ROW][C]37-2[/C][C]-47.393[/C][C]-68.967[/C][C]-25.819[/C][C]0[/C][/ROW]
[ROW][C]39-2[/C][C]-46.06[/C][C]-63.826[/C][C]-28.293[/C][C]0[/C][/ROW]
[ROW][C]41-2[/C][C]-45.893[/C][C]-67.467[/C][C]-24.319[/C][C]0[/C][/ROW]
[ROW][C]43-2[/C][C]-46.893[/C][C]-68.467[/C][C]-25.319[/C][C]0[/C][/ROW]
[ROW][C]44-2[/C][C]-46.393[/C][C]-64.159[/C][C]-28.626[/C][C]0[/C][/ROW]
[ROW][C]45-2[/C][C]-45.393[/C][C]-75.639[/C][C]-15.147[/C][C]0[/C][/ROW]
[ROW][C]46-2[/C][C]-30.393[/C][C]-51.967[/C][C]-8.819[/C][C]0[/C][/ROW]
[ROW][C]48-2[/C][C]-46.393[/C][C]-67.967[/C][C]-24.819[/C][C]0[/C][/ROW]
[ROW][C]50-2[/C][C]-46.893[/C][C]-68.467[/C][C]-25.319[/C][C]0[/C][/ROW]
[ROW][C]52-2[/C][C]-45.393[/C][C]-75.639[/C][C]-15.147[/C][C]0[/C][/ROW]
[ROW][C]54-2[/C][C]-46.393[/C][C]-64.159[/C][C]-28.626[/C][C]0[/C][/ROW]
[ROW][C]55-2[/C][C]-46.393[/C][C]-67.967[/C][C]-24.819[/C][C]0[/C][/ROW]
[ROW][C]57-2[/C][C]-46.393[/C][C]-76.639[/C][C]-16.147[/C][C]0[/C][/ROW]
[ROW][C]58-2[/C][C]-46.393[/C][C]-76.639[/C][C]-16.147[/C][C]0[/C][/ROW]
[ROW][C]59-2[/C][C]-45.393[/C][C]-75.639[/C][C]-15.147[/C][C]0[/C][/ROW]
[ROW][C]60-2[/C][C]-47.393[/C][C]-77.639[/C][C]-17.147[/C][C]0[/C][/ROW]
[ROW][C]66-2[/C][C]-45.393[/C][C]-75.639[/C][C]-15.147[/C][C]0[/C][/ROW]
[ROW][C]30-3[/C][C]-47.722[/C][C]-78.116[/C][C]-17.329[/C][C]0[/C][/ROW]
[ROW][C]34-3[/C][C]-48.722[/C][C]-79.116[/C][C]-18.329[/C][C]0[/C][/ROW]
[ROW][C]37-3[/C][C]-49.722[/C][C]-71.502[/C][C]-27.942[/C][C]0[/C][/ROW]
[ROW][C]39-3[/C][C]-48.389[/C][C]-66.404[/C][C]-30.373[/C][C]0[/C][/ROW]
[ROW][C]41-3[/C][C]-48.222[/C][C]-70.002[/C][C]-26.442[/C][C]0[/C][/ROW]
[ROW][C]43-3[/C][C]-49.222[/C][C]-71.002[/C][C]-27.442[/C][C]0[/C][/ROW]
[ROW][C]44-3[/C][C]-48.722[/C][C]-66.738[/C][C]-30.707[/C][C]0[/C][/ROW]
[ROW][C]45-3[/C][C]-47.722[/C][C]-78.116[/C][C]-17.329[/C][C]0[/C][/ROW]
[ROW][C]46-3[/C][C]-32.722[/C][C]-54.502[/C][C]-10.942[/C][C]0[/C][/ROW]
[ROW][C]48-3[/C][C]-48.722[/C][C]-70.502[/C][C]-26.942[/C][C]0[/C][/ROW]
[ROW][C]50-3[/C][C]-49.222[/C][C]-71.002[/C][C]-27.442[/C][C]0[/C][/ROW]
[ROW][C]52-3[/C][C]-47.722[/C][C]-78.116[/C][C]-17.329[/C][C]0[/C][/ROW]
[ROW][C]54-3[/C][C]-48.722[/C][C]-66.738[/C][C]-30.707[/C][C]0[/C][/ROW]
[ROW][C]55-3[/C][C]-48.722[/C][C]-70.502[/C][C]-26.942[/C][C]0[/C][/ROW]
[ROW][C]57-3[/C][C]-48.722[/C][C]-79.116[/C][C]-18.329[/C][C]0[/C][/ROW]
[ROW][C]58-3[/C][C]-48.722[/C][C]-79.116[/C][C]-18.329[/C][C]0[/C][/ROW]
[ROW][C]59-3[/C][C]-47.722[/C][C]-78.116[/C][C]-17.329[/C][C]0[/C][/ROW]
[ROW][C]60-3[/C][C]-49.722[/C][C]-80.116[/C][C]-19.329[/C][C]0[/C][/ROW]
[ROW][C]66-3[/C][C]-47.722[/C][C]-78.116[/C][C]-17.329[/C][C]0[/C][/ROW]
[ROW][C]34-30[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]37-30[/C][C]-2[/C][C]-38.718[/C][C]34.718[/C][C]1[/C][/ROW]
[ROW][C]39-30[/C][C]-0.667[/C][C]-35.284[/C][C]33.951[/C][C]1[/C][/ROW]
[ROW][C]41-30[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]43-30[/C][C]-1.5[/C][C]-38.218[/C][C]35.218[/C][C]1[/C][/ROW]
[ROW][C]44-30[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]45-30[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]46-30[/C][C]15[/C][C]-21.718[/C][C]51.718[/C][C]0.997[/C][/ROW]
[ROW][C]48-30[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]50-30[/C][C]-1.5[/C][C]-38.218[/C][C]35.218[/C][C]1[/C][/ROW]
[ROW][C]52-30[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]54-30[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]55-30[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]57-30[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]58-30[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]59-30[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]60-30[/C][C]-2[/C][C]-44.398[/C][C]40.398[/C][C]1[/C][/ROW]
[ROW][C]66-30[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]37-34[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]39-34[/C][C]0.333[/C][C]-34.284[/C][C]34.951[/C][C]1[/C][/ROW]
[ROW][C]41-34[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]43-34[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]44-34[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]45-34[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]46-34[/C][C]16[/C][C]-20.718[/C][C]52.718[/C][C]0.993[/C][/ROW]
[ROW][C]48-34[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]50-34[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]52-34[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]54-34[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]55-34[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]57-34[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]58-34[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]59-34[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]60-34[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]66-34[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]39-37[/C][C]1.333[/C][C]-26.034[/C][C]28.701[/C][C]1[/C][/ROW]
[ROW][C]41-37[/C][C]1.5[/C][C]-28.48[/C][C]31.48[/C][C]1[/C][/ROW]
[ROW][C]43-37[/C][C]0.5[/C][C]-29.48[/C][C]30.48[/C][C]1[/C][/ROW]
[ROW][C]44-37[/C][C]1[/C][C]-26.368[/C][C]28.368[/C][C]1[/C][/ROW]
[ROW][C]45-37[/C][C]2[/C][C]-34.718[/C][C]38.718[/C][C]1[/C][/ROW]
[ROW][C]46-37[/C][C]17[/C][C]-12.98[/C][C]46.98[/C][C]0.892[/C][/ROW]
[ROW][C]48-37[/C][C]1[/C][C]-28.98[/C][C]30.98[/C][C]1[/C][/ROW]
[ROW][C]50-37[/C][C]0.5[/C][C]-29.48[/C][C]30.48[/C][C]1[/C][/ROW]
[ROW][C]52-37[/C][C]2[/C][C]-34.718[/C][C]38.718[/C][C]1[/C][/ROW]
[ROW][C]54-37[/C][C]1[/C][C]-26.368[/C][C]28.368[/C][C]1[/C][/ROW]
[ROW][C]55-37[/C][C]1[/C][C]-28.98[/C][C]30.98[/C][C]1[/C][/ROW]
[ROW][C]57-37[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]58-37[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]59-37[/C][C]2[/C][C]-34.718[/C][C]38.718[/C][C]1[/C][/ROW]
[ROW][C]60-37[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]66-37[/C][C]2[/C][C]-34.718[/C][C]38.718[/C][C]1[/C][/ROW]
[ROW][C]41-39[/C][C]0.167[/C][C]-27.201[/C][C]27.534[/C][C]1[/C][/ROW]
[ROW][C]43-39[/C][C]-0.833[/C][C]-28.201[/C][C]26.534[/C][C]1[/C][/ROW]
[ROW][C]44-39[/C][C]-0.333[/C][C]-24.812[/C][C]24.145[/C][C]1[/C][/ROW]
[ROW][C]45-39[/C][C]0.667[/C][C]-33.951[/C][C]35.284[/C][C]1[/C][/ROW]
[ROW][C]46-39[/C][C]15.667[/C][C]-11.701[/C][C]43.034[/C][C]0.883[/C][/ROW]
[ROW][C]48-39[/C][C]-0.333[/C][C]-27.701[/C][C]27.034[/C][C]1[/C][/ROW]
[ROW][C]50-39[/C][C]-0.833[/C][C]-28.201[/C][C]26.534[/C][C]1[/C][/ROW]
[ROW][C]52-39[/C][C]0.667[/C][C]-33.951[/C][C]35.284[/C][C]1[/C][/ROW]
[ROW][C]54-39[/C][C]-0.333[/C][C]-24.812[/C][C]24.145[/C][C]1[/C][/ROW]
[ROW][C]55-39[/C][C]-0.333[/C][C]-27.701[/C][C]27.034[/C][C]1[/C][/ROW]
[ROW][C]57-39[/C][C]-0.333[/C][C]-34.951[/C][C]34.284[/C][C]1[/C][/ROW]
[ROW][C]58-39[/C][C]-0.333[/C][C]-34.951[/C][C]34.284[/C][C]1[/C][/ROW]
[ROW][C]59-39[/C][C]0.667[/C][C]-33.951[/C][C]35.284[/C][C]1[/C][/ROW]
[ROW][C]60-39[/C][C]-1.333[/C][C]-35.951[/C][C]33.284[/C][C]1[/C][/ROW]
[ROW][C]66-39[/C][C]0.667[/C][C]-33.951[/C][C]35.284[/C][C]1[/C][/ROW]
[ROW][C]43-41[/C][C]-1[/C][C]-30.98[/C][C]28.98[/C][C]1[/C][/ROW]
[ROW][C]44-41[/C][C]-0.5[/C][C]-27.868[/C][C]26.868[/C][C]1[/C][/ROW]
[ROW][C]45-41[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]46-41[/C][C]15.5[/C][C]-14.48[/C][C]45.48[/C][C]0.953[/C][/ROW]
[ROW][C]48-41[/C][C]-0.5[/C][C]-30.48[/C][C]29.48[/C][C]1[/C][/ROW]
[ROW][C]50-41[/C][C]-1[/C][C]-30.98[/C][C]28.98[/C][C]1[/C][/ROW]
[ROW][C]52-41[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]54-41[/C][C]-0.5[/C][C]-27.868[/C][C]26.868[/C][C]1[/C][/ROW]
[ROW][C]55-41[/C][C]-0.5[/C][C]-30.48[/C][C]29.48[/C][C]1[/C][/ROW]
[ROW][C]57-41[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]58-41[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]59-41[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]60-41[/C][C]-1.5[/C][C]-38.218[/C][C]35.218[/C][C]1[/C][/ROW]
[ROW][C]66-41[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]44-43[/C][C]0.5[/C][C]-26.868[/C][C]27.868[/C][C]1[/C][/ROW]
[ROW][C]45-43[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]46-43[/C][C]16.5[/C][C]-13.48[/C][C]46.48[/C][C]0.916[/C][/ROW]
[ROW][C]48-43[/C][C]0.5[/C][C]-29.48[/C][C]30.48[/C][C]1[/C][/ROW]
[ROW][C]50-43[/C][C]0[/C][C]-29.98[/C][C]29.98[/C][C]1[/C][/ROW]
[ROW][C]52-43[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]54-43[/C][C]0.5[/C][C]-26.868[/C][C]27.868[/C][C]1[/C][/ROW]
[ROW][C]55-43[/C][C]0.5[/C][C]-29.48[/C][C]30.48[/C][C]1[/C][/ROW]
[ROW][C]57-43[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]58-43[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]59-43[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]60-43[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]66-43[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]45-44[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]46-44[/C][C]16[/C][C]-11.368[/C][C]43.368[/C][C]0.862[/C][/ROW]
[ROW][C]48-44[/C][C]0[/C][C]-27.368[/C][C]27.368[/C][C]1[/C][/ROW]
[ROW][C]50-44[/C][C]-0.5[/C][C]-27.868[/C][C]26.868[/C][C]1[/C][/ROW]
[ROW][C]52-44[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]54-44[/C][C]0[/C][C]-24.478[/C][C]24.478[/C][C]1[/C][/ROW]
[ROW][C]55-44[/C][C]0[/C][C]-27.368[/C][C]27.368[/C][C]1[/C][/ROW]
[ROW][C]57-44[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]58-44[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]59-44[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]60-44[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]66-44[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]46-45[/C][C]15[/C][C]-21.718[/C][C]51.718[/C][C]0.997[/C][/ROW]
[ROW][C]48-45[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]50-45[/C][C]-1.5[/C][C]-38.218[/C][C]35.218[/C][C]1[/C][/ROW]
[ROW][C]52-45[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]54-45[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]55-45[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]57-45[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]58-45[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]59-45[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]60-45[/C][C]-2[/C][C]-44.398[/C][C]40.398[/C][C]1[/C][/ROW]
[ROW][C]66-45[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]48-46[/C][C]-16[/C][C]-45.98[/C][C]13.98[/C][C]0.936[/C][/ROW]
[ROW][C]50-46[/C][C]-16.5[/C][C]-46.48[/C][C]13.48[/C][C]0.916[/C][/ROW]
[ROW][C]52-46[/C][C]-15[/C][C]-51.718[/C][C]21.718[/C][C]0.997[/C][/ROW]
[ROW][C]54-46[/C][C]-16[/C][C]-43.368[/C][C]11.368[/C][C]0.862[/C][/ROW]
[ROW][C]55-46[/C][C]-16[/C][C]-45.98[/C][C]13.98[/C][C]0.936[/C][/ROW]
[ROW][C]57-46[/C][C]-16[/C][C]-52.718[/C][C]20.718[/C][C]0.993[/C][/ROW]
[ROW][C]58-46[/C][C]-16[/C][C]-52.718[/C][C]20.718[/C][C]0.993[/C][/ROW]
[ROW][C]59-46[/C][C]-15[/C][C]-51.718[/C][C]21.718[/C][C]0.997[/C][/ROW]
[ROW][C]60-46[/C][C]-17[/C][C]-53.718[/C][C]19.718[/C][C]0.985[/C][/ROW]
[ROW][C]66-46[/C][C]-15[/C][C]-51.718[/C][C]21.718[/C][C]0.997[/C][/ROW]
[ROW][C]50-48[/C][C]-0.5[/C][C]-30.48[/C][C]29.48[/C][C]1[/C][/ROW]
[ROW][C]52-48[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]54-48[/C][C]0[/C][C]-27.368[/C][C]27.368[/C][C]1[/C][/ROW]
[ROW][C]55-48[/C][C]0[/C][C]-29.98[/C][C]29.98[/C][C]1[/C][/ROW]
[ROW][C]57-48[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]58-48[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]59-48[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]60-48[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]66-48[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]52-50[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]54-50[/C][C]0.5[/C][C]-26.868[/C][C]27.868[/C][C]1[/C][/ROW]
[ROW][C]55-50[/C][C]0.5[/C][C]-29.48[/C][C]30.48[/C][C]1[/C][/ROW]
[ROW][C]57-50[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]58-50[/C][C]0.5[/C][C]-36.218[/C][C]37.218[/C][C]1[/C][/ROW]
[ROW][C]59-50[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]60-50[/C][C]-0.5[/C][C]-37.218[/C][C]36.218[/C][C]1[/C][/ROW]
[ROW][C]66-50[/C][C]1.5[/C][C]-35.218[/C][C]38.218[/C][C]1[/C][/ROW]
[ROW][C]54-52[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]55-52[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]57-52[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]58-52[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]59-52[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]60-52[/C][C]-2[/C][C]-44.398[/C][C]40.398[/C][C]1[/C][/ROW]
[ROW][C]66-52[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]55-54[/C][C]0[/C][C]-27.368[/C][C]27.368[/C][C]1[/C][/ROW]
[ROW][C]57-54[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]58-54[/C][C]0[/C][C]-34.618[/C][C]34.618[/C][C]1[/C][/ROW]
[ROW][C]59-54[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]60-54[/C][C]-1[/C][C]-35.618[/C][C]33.618[/C][C]1[/C][/ROW]
[ROW][C]66-54[/C][C]1[/C][C]-33.618[/C][C]35.618[/C][C]1[/C][/ROW]
[ROW][C]57-55[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]58-55[/C][C]0[/C][C]-36.718[/C][C]36.718[/C][C]1[/C][/ROW]
[ROW][C]59-55[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]60-55[/C][C]-1[/C][C]-37.718[/C][C]35.718[/C][C]1[/C][/ROW]
[ROW][C]66-55[/C][C]1[/C][C]-35.718[/C][C]37.718[/C][C]1[/C][/ROW]
[ROW][C]58-57[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]59-57[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]60-57[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]66-57[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]59-58[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]60-58[/C][C]-1[/C][C]-43.398[/C][C]41.398[/C][C]1[/C][/ROW]
[ROW][C]66-58[/C][C]1[/C][C]-41.398[/C][C]43.398[/C][C]1[/C][/ROW]
[ROW][C]60-59[/C][C]-2[/C][C]-44.398[/C][C]40.398[/C][C]1[/C][/ROW]
[ROW][C]66-59[/C][C]0[/C][C]-42.398[/C][C]42.398[/C][C]1[/C][/ROW]
[ROW][C]66-60[/C][C]2[/C][C]-40.398[/C][C]44.398[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223443&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223443&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
2-12.504-3.98.9080.998
3-14.833-2.23311.90.627
30-1-42.889-73.282-12.4960
34-1-43.889-74.282-13.4960
37-1-44.889-66.669-23.1090
39-1-43.556-61.571-25.540
41-1-43.389-65.169-21.6090
43-1-44.389-66.169-22.6090
44-1-43.889-61.904-25.8730
45-1-42.889-73.282-12.4960
46-1-27.889-49.669-6.1090.001
48-1-43.889-65.669-22.1090
50-1-44.389-66.169-22.6090
52-1-42.889-73.282-12.4960
54-1-43.889-61.904-25.8730
55-1-43.889-65.669-22.1090
57-1-43.889-74.282-13.4960
58-1-43.889-74.282-13.4960
59-1-42.889-73.282-12.4960
60-1-44.889-75.282-14.4960
66-1-42.889-73.282-12.4960
3-22.329-4.0758.7340.999
30-2-45.393-75.639-15.1470
34-2-46.393-76.639-16.1470
37-2-47.393-68.967-25.8190
39-2-46.06-63.826-28.2930
41-2-45.893-67.467-24.3190
43-2-46.893-68.467-25.3190
44-2-46.393-64.159-28.6260
45-2-45.393-75.639-15.1470
46-2-30.393-51.967-8.8190
48-2-46.393-67.967-24.8190
50-2-46.893-68.467-25.3190
52-2-45.393-75.639-15.1470
54-2-46.393-64.159-28.6260
55-2-46.393-67.967-24.8190
57-2-46.393-76.639-16.1470
58-2-46.393-76.639-16.1470
59-2-45.393-75.639-15.1470
60-2-47.393-77.639-17.1470
66-2-45.393-75.639-15.1470
30-3-47.722-78.116-17.3290
34-3-48.722-79.116-18.3290
37-3-49.722-71.502-27.9420
39-3-48.389-66.404-30.3730
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Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group212.8320
138 

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 21 & 2.832 & 0 \tabularnewline
  & 138 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223443&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]21[/C][C]2.832[/C][C]0[/C][/ROW]
[ROW][C] [/C][C]138[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223443&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223443&T=4

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


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

Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group212.8320
138


Figures (Output of Computation)

Input Parameters & R Code

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')