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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, 17 Nov 2014 11:02:25 +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/2014/Nov/17/t141622218975reja6jici59h3.htm/, Retrieved Wed, 15 May 2024 18:17:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255399, Retrieved Wed, 15 May 2024 18:17:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

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]
- RM D            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [maternal warmth] [2014-11-17 11:02:25] [976838eee8065151b67152384bdc0925] [Current]
-    D              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [with anomalies] [2014-11-17 11:11:47] [6861ea8b851ffa0954a62d449484317c]
-    D                [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [EHUFDJBF] [2014-11-17 11:19:56] [6861ea8b851ffa0954a62d449484317c]
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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	2
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	1
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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255399&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255399&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 Maurice George Kendall' @ kendall.wessa.net






ANOVA Model
MC30VRB ~ MWARM30
means45.3893.2435.525-42.389-43.389-44.389-43.056-42.889-43.889-43.389-42.389-27.389-43.389-43.889-42.389-43.389-43.389-43.389-43.389-42.389-44.389-42.389

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
MC30VRB  ~  MWARM30 \tabularnewline
means & 45.389 & 3.243 & 5.525 & -42.389 & -43.389 & -44.389 & -43.056 & -42.889 & -43.889 & -43.389 & -42.389 & -27.389 & -43.389 & -43.889 & -42.389 & -43.389 & -43.389 & -43.389 & -43.389 & -42.389 & -44.389 & -42.389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255399&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]MC30VRB  ~  MWARM30[/C][/ROW]
[ROW][C]means[/C][C]45.389[/C][C]3.243[/C][C]5.525[/C][C]-42.389[/C][C]-43.389[/C][C]-44.389[/C][C]-43.056[/C][C]-42.889[/C][C]-43.889[/C][C]-43.389[/C][C]-42.389[/C][C]-27.389[/C][C]-43.389[/C][C]-43.889[/C][C]-42.389[/C][C]-43.389[/C][C]-43.389[/C][C]-43.389[/C][C]-43.389[/C][C]-42.389[/C][C]-44.389[/C][C]-42.389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255399&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
means45.3893.2435.525-42.389-43.389-44.389-43.056-42.889-43.889-43.389-42.389-27.389-43.389-43.889-42.389-43.389-43.389-43.389-43.389-42.389-44.389-42.389






ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MWARM302153526.0472548.85938.650
Residuals1389100.72865.947 

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MWARM30 & 21 & 53526.047 & 2548.859 & 38.65 & 0 \tabularnewline
Residuals & 138 & 9100.728 & 65.947 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255399&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]53526.047[/C][C]2548.859[/C][C]38.65[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]138[/C][C]9100.728[/C][C]65.947[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255399&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255399&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)
MWARM302153526.0472548.85938.650
Residuals1389100.72865.947






Tukey Honest Significant Difference Comparisons
difflwruprp adj
2-13.243-3.0959.580.957
3-15.525-1.54112.5920.362
30-1-42.389-72.568-12.210
34-1-43.389-73.568-13.210
37-1-44.389-66.015-22.7620
39-1-43.056-60.944-25.1670
41-1-42.889-64.515-21.2620
43-1-43.889-65.515-22.2620
44-1-43.389-61.278-25.50
45-1-42.389-72.568-12.210
46-1-27.389-49.015-5.7620.002
48-1-43.389-65.015-21.7620
50-1-43.889-65.515-22.2620
52-1-42.389-72.568-12.210
54-1-43.389-61.278-25.50
55-1-43.389-65.015-21.7620
57-1-43.389-73.568-13.210
58-1-43.389-73.568-13.210
59-1-42.389-72.568-12.210
60-1-44.389-74.568-14.210
66-1-42.389-72.568-12.210
3-22.283-4.118.6750.999
30-2-45.632-75.66-15.6030
34-2-46.632-76.66-16.6030
37-2-47.632-69.047-26.2160
39-2-46.298-63.932-28.6650
41-2-46.132-67.547-24.7160
43-2-47.132-68.547-25.7160
44-2-46.632-64.265-28.9980
45-2-45.632-75.66-15.6030
46-2-30.632-52.047-9.2160
48-2-46.632-68.047-25.2160
50-2-47.132-68.547-25.7160
52-2-45.632-75.66-15.6030
54-2-46.632-64.265-28.9980
55-2-46.632-68.047-25.2160
57-2-46.632-76.66-16.6030
58-2-46.632-76.66-16.6030
59-2-45.632-75.66-15.6030
60-2-47.632-77.66-17.6030
66-2-45.632-75.66-15.6030
30-3-47.914-78.105-17.7230
34-3-48.914-79.105-18.7230
37-3-49.914-71.557-28.2720
39-3-48.581-66.489-30.6730
41-3-48.414-70.057-26.7720
43-3-49.414-71.057-27.7720
44-3-48.914-66.823-31.0060
45-3-47.914-78.105-17.7230
46-3-32.914-54.557-11.2720
48-3-48.914-70.557-27.2720
50-3-49.414-71.057-27.7720
52-3-47.914-78.105-17.7230
54-3-48.914-66.823-31.0060
55-3-48.914-70.557-27.2720
57-3-48.914-79.105-18.7230
58-3-48.914-79.105-18.7230
59-3-47.914-78.105-17.7230
60-3-49.914-80.105-19.7230
66-3-47.914-78.105-17.7230
34-30-1-43.09941.0991
37-30-2-38.45934.4591
39-30-0.667-35.04133.7071
41-30-0.5-36.95935.9591
43-30-1.5-37.95934.9591
44-30-1-35.37433.3741
45-300-42.09942.0991
46-3015-21.45951.4590.996
48-30-1-37.45935.4591
50-30-1.5-37.95934.9591
52-300-42.09942.0991
54-30-1-35.37433.3741
55-30-1-37.45935.4591
57-30-1-43.09941.0991
58-30-1-43.09941.0991
59-300-42.09942.0991
60-30-2-44.09940.0991
66-300-42.09942.0991
37-34-1-37.45935.4591
39-340.333-34.04134.7071
41-340.5-35.95936.9591
43-34-0.5-36.95935.9591
44-340-34.37434.3741
45-341-41.09943.0991
46-3416-20.45952.4590.992
48-340-36.45936.4591
50-34-0.5-36.95935.9591
52-341-41.09943.0991
54-340-34.37434.3741
55-340-36.45936.4591
57-340-42.09942.0991
58-340-42.09942.0991
59-341-41.09943.0991
60-34-1-43.09941.0991
66-341-41.09943.0991
39-371.333-25.84228.5081
41-371.5-28.26931.2691
43-370.5-29.26930.2691
44-371-26.17528.1751
45-372-34.45938.4591
46-3717-12.76946.7690.885
48-371-28.76930.7691
50-370.5-29.26930.2691
52-372-34.45938.4591
54-371-26.17528.1751
55-371-28.76930.7691
57-371-35.45937.4591
58-371-35.45937.4591
59-372-34.45938.4591
60-370-36.45936.4591
66-372-34.45938.4591
41-390.167-27.00827.3421
43-39-0.833-28.00826.3421
44-39-0.333-24.63923.9731
45-390.667-33.70735.0411
46-3915.667-11.50842.8420.876
48-39-0.333-27.50826.8421
50-39-0.833-28.00826.3421
52-390.667-33.70735.0411
54-39-0.333-24.63923.9731
55-39-0.333-27.50826.8421
57-39-0.333-34.70734.0411
58-39-0.333-34.70734.0411
59-390.667-33.70735.0411
60-39-1.333-35.70733.0411
66-390.667-33.70735.0411
43-41-1-30.76928.7691
44-41-0.5-27.67526.6751
45-410.5-35.95936.9591
46-4115.5-14.26945.2690.949
48-41-0.5-30.26929.2691
50-41-1-30.76928.7691
52-410.5-35.95936.9591
54-41-0.5-27.67526.6751
55-41-0.5-30.26929.2691
57-41-0.5-36.95935.9591
58-41-0.5-36.95935.9591
59-410.5-35.95936.9591
60-41-1.5-37.95934.9591
66-410.5-35.95936.9591
44-430.5-26.67527.6751
45-431.5-34.95937.9591
46-4316.5-13.26946.2690.911
48-430.5-29.26930.2691
50-430-29.76929.7691
52-431.5-34.95937.9591
54-430.5-26.67527.6751
55-430.5-29.26930.2691
57-430.5-35.95936.9591
58-430.5-35.95936.9591
59-431.5-34.95937.9591
60-43-0.5-36.95935.9591
66-431.5-34.95937.9591
45-441-33.37435.3741
46-4416-11.17543.1750.855
48-440-27.17527.1751
50-44-0.5-27.67526.6751
52-441-33.37435.3741
54-440-24.30624.3061
55-440-27.17527.1751
57-440-34.37434.3741
58-440-34.37434.3741
59-441-33.37435.3741
60-44-1-35.37433.3741
66-441-33.37435.3741
46-4515-21.45951.4590.996
48-45-1-37.45935.4591
50-45-1.5-37.95934.9591
52-450-42.09942.0991
54-45-1-35.37433.3741
55-45-1-37.45935.4591
57-45-1-43.09941.0991
58-45-1-43.09941.0991
59-450-42.09942.0991
60-45-2-44.09940.0991
66-450-42.09942.0991
48-46-16-45.76913.7690.932
50-46-16.5-46.26913.2690.911
52-46-15-51.45921.4590.996
54-46-16-43.17511.1750.855
55-46-16-45.76913.7690.932
57-46-16-52.45920.4590.992
58-46-16-52.45920.4590.992
59-46-15-51.45921.4590.996
60-46-17-53.45919.4590.984
66-46-15-51.45921.4590.996
50-48-0.5-30.26929.2691
52-481-35.45937.4591
54-480-27.17527.1751
55-480-29.76929.7691
57-480-36.45936.4591
58-480-36.45936.4591
59-481-35.45937.4591
60-48-1-37.45935.4591
66-481-35.45937.4591
52-501.5-34.95937.9591
54-500.5-26.67527.6751
55-500.5-29.26930.2691
57-500.5-35.95936.9591
58-500.5-35.95936.9591
59-501.5-34.95937.9591
60-50-0.5-36.95935.9591
66-501.5-34.95937.9591
54-52-1-35.37433.3741
55-52-1-37.45935.4591
57-52-1-43.09941.0991
58-52-1-43.09941.0991
59-520-42.09942.0991
60-52-2-44.09940.0991
66-520-42.09942.0991
55-540-27.17527.1751
57-540-34.37434.3741
58-540-34.37434.3741
59-541-33.37435.3741
60-54-1-35.37433.3741
66-541-33.37435.3741
57-550-36.45936.4591
58-550-36.45936.4591
59-551-35.45937.4591
60-55-1-37.45935.4591
66-551-35.45937.4591
58-570-42.09942.0991
59-571-41.09943.0991
60-57-1-43.09941.0991
66-571-41.09943.0991
59-581-41.09943.0991
60-58-1-43.09941.0991
66-581-41.09943.0991
60-59-2-44.09940.0991
66-590-42.09942.0991
66-602-40.09944.0991

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
2-1 & 3.243 & -3.095 & 9.58 & 0.957 \tabularnewline
3-1 & 5.525 & -1.541 & 12.592 & 0.362 \tabularnewline
30-1 & -42.389 & -72.568 & -12.21 & 0 \tabularnewline
34-1 & -43.389 & -73.568 & -13.21 & 0 \tabularnewline
37-1 & -44.389 & -66.015 & -22.762 & 0 \tabularnewline
39-1 & -43.056 & -60.944 & -25.167 & 0 \tabularnewline
41-1 & -42.889 & -64.515 & -21.262 & 0 \tabularnewline
43-1 & -43.889 & -65.515 & -22.262 & 0 \tabularnewline
44-1 & -43.389 & -61.278 & -25.5 & 0 \tabularnewline
45-1 & -42.389 & -72.568 & -12.21 & 0 \tabularnewline
46-1 & -27.389 & -49.015 & -5.762 & 0.002 \tabularnewline
48-1 & -43.389 & -65.015 & -21.762 & 0 \tabularnewline
50-1 & -43.889 & -65.515 & -22.262 & 0 \tabularnewline
52-1 & -42.389 & -72.568 & -12.21 & 0 \tabularnewline
54-1 & -43.389 & -61.278 & -25.5 & 0 \tabularnewline
55-1 & -43.389 & -65.015 & -21.762 & 0 \tabularnewline
57-1 & -43.389 & -73.568 & -13.21 & 0 \tabularnewline
58-1 & -43.389 & -73.568 & -13.21 & 0 \tabularnewline
59-1 & -42.389 & -72.568 & -12.21 & 0 \tabularnewline
60-1 & -44.389 & -74.568 & -14.21 & 0 \tabularnewline
66-1 & -42.389 & -72.568 & -12.21 & 0 \tabularnewline
3-2 & 2.283 & -4.11 & 8.675 & 0.999 \tabularnewline
30-2 & -45.632 & -75.66 & -15.603 & 0 \tabularnewline
34-2 & -46.632 & -76.66 & -16.603 & 0 \tabularnewline
37-2 & -47.632 & -69.047 & -26.216 & 0 \tabularnewline
39-2 & -46.298 & -63.932 & -28.665 & 0 \tabularnewline
41-2 & -46.132 & -67.547 & -24.716 & 0 \tabularnewline
43-2 & -47.132 & -68.547 & -25.716 & 0 \tabularnewline
44-2 & -46.632 & -64.265 & -28.998 & 0 \tabularnewline
45-2 & -45.632 & -75.66 & -15.603 & 0 \tabularnewline
46-2 & -30.632 & -52.047 & -9.216 & 0 \tabularnewline
48-2 & -46.632 & -68.047 & -25.216 & 0 \tabularnewline
50-2 & -47.132 & -68.547 & -25.716 & 0 \tabularnewline
52-2 & -45.632 & -75.66 & -15.603 & 0 \tabularnewline
54-2 & -46.632 & -64.265 & -28.998 & 0 \tabularnewline
55-2 & -46.632 & -68.047 & -25.216 & 0 \tabularnewline
57-2 & -46.632 & -76.66 & -16.603 & 0 \tabularnewline
58-2 & -46.632 & -76.66 & -16.603 & 0 \tabularnewline
59-2 & -45.632 & -75.66 & -15.603 & 0 \tabularnewline
60-2 & -47.632 & -77.66 & -17.603 & 0 \tabularnewline
66-2 & -45.632 & -75.66 & -15.603 & 0 \tabularnewline
30-3 & -47.914 & -78.105 & -17.723 & 0 \tabularnewline
34-3 & -48.914 & -79.105 & -18.723 & 0 \tabularnewline
37-3 & -49.914 & -71.557 & -28.272 & 0 \tabularnewline
39-3 & -48.581 & -66.489 & -30.673 & 0 \tabularnewline
41-3 & -48.414 & -70.057 & -26.772 & 0 \tabularnewline
43-3 & -49.414 & -71.057 & -27.772 & 0 \tabularnewline
44-3 & -48.914 & -66.823 & -31.006 & 0 \tabularnewline
45-3 & -47.914 & -78.105 & -17.723 & 0 \tabularnewline
46-3 & -32.914 & -54.557 & -11.272 & 0 \tabularnewline
48-3 & -48.914 & -70.557 & -27.272 & 0 \tabularnewline
50-3 & -49.414 & -71.057 & -27.772 & 0 \tabularnewline
52-3 & -47.914 & -78.105 & -17.723 & 0 \tabularnewline
54-3 & -48.914 & -66.823 & -31.006 & 0 \tabularnewline
55-3 & -48.914 & -70.557 & -27.272 & 0 \tabularnewline
57-3 & -48.914 & -79.105 & -18.723 & 0 \tabularnewline
58-3 & -48.914 & -79.105 & -18.723 & 0 \tabularnewline
59-3 & -47.914 & -78.105 & -17.723 & 0 \tabularnewline
60-3 & -49.914 & -80.105 & -19.723 & 0 \tabularnewline
66-3 & -47.914 & -78.105 & -17.723 & 0 \tabularnewline
34-30 & -1 & -43.099 & 41.099 & 1 \tabularnewline
37-30 & -2 & -38.459 & 34.459 & 1 \tabularnewline
39-30 & -0.667 & -35.041 & 33.707 & 1 \tabularnewline
41-30 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
43-30 & -1.5 & -37.959 & 34.959 & 1 \tabularnewline
44-30 & -1 & -35.374 & 33.374 & 1 \tabularnewline
45-30 & 0 & -42.099 & 42.099 & 1 \tabularnewline
46-30 & 15 & -21.459 & 51.459 & 0.996 \tabularnewline
48-30 & -1 & -37.459 & 35.459 & 1 \tabularnewline
50-30 & -1.5 & -37.959 & 34.959 & 1 \tabularnewline
52-30 & 0 & -42.099 & 42.099 & 1 \tabularnewline
54-30 & -1 & -35.374 & 33.374 & 1 \tabularnewline
55-30 & -1 & -37.459 & 35.459 & 1 \tabularnewline
57-30 & -1 & -43.099 & 41.099 & 1 \tabularnewline
58-30 & -1 & -43.099 & 41.099 & 1 \tabularnewline
59-30 & 0 & -42.099 & 42.099 & 1 \tabularnewline
60-30 & -2 & -44.099 & 40.099 & 1 \tabularnewline
66-30 & 0 & -42.099 & 42.099 & 1 \tabularnewline
37-34 & -1 & -37.459 & 35.459 & 1 \tabularnewline
39-34 & 0.333 & -34.041 & 34.707 & 1 \tabularnewline
41-34 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
43-34 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
44-34 & 0 & -34.374 & 34.374 & 1 \tabularnewline
45-34 & 1 & -41.099 & 43.099 & 1 \tabularnewline
46-34 & 16 & -20.459 & 52.459 & 0.992 \tabularnewline
48-34 & 0 & -36.459 & 36.459 & 1 \tabularnewline
50-34 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
52-34 & 1 & -41.099 & 43.099 & 1 \tabularnewline
54-34 & 0 & -34.374 & 34.374 & 1 \tabularnewline
55-34 & 0 & -36.459 & 36.459 & 1 \tabularnewline
57-34 & 0 & -42.099 & 42.099 & 1 \tabularnewline
58-34 & 0 & -42.099 & 42.099 & 1 \tabularnewline
59-34 & 1 & -41.099 & 43.099 & 1 \tabularnewline
60-34 & -1 & -43.099 & 41.099 & 1 \tabularnewline
66-34 & 1 & -41.099 & 43.099 & 1 \tabularnewline
39-37 & 1.333 & -25.842 & 28.508 & 1 \tabularnewline
41-37 & 1.5 & -28.269 & 31.269 & 1 \tabularnewline
43-37 & 0.5 & -29.269 & 30.269 & 1 \tabularnewline
44-37 & 1 & -26.175 & 28.175 & 1 \tabularnewline
45-37 & 2 & -34.459 & 38.459 & 1 \tabularnewline
46-37 & 17 & -12.769 & 46.769 & 0.885 \tabularnewline
48-37 & 1 & -28.769 & 30.769 & 1 \tabularnewline
50-37 & 0.5 & -29.269 & 30.269 & 1 \tabularnewline
52-37 & 2 & -34.459 & 38.459 & 1 \tabularnewline
54-37 & 1 & -26.175 & 28.175 & 1 \tabularnewline
55-37 & 1 & -28.769 & 30.769 & 1 \tabularnewline
57-37 & 1 & -35.459 & 37.459 & 1 \tabularnewline
58-37 & 1 & -35.459 & 37.459 & 1 \tabularnewline
59-37 & 2 & -34.459 & 38.459 & 1 \tabularnewline
60-37 & 0 & -36.459 & 36.459 & 1 \tabularnewline
66-37 & 2 & -34.459 & 38.459 & 1 \tabularnewline
41-39 & 0.167 & -27.008 & 27.342 & 1 \tabularnewline
43-39 & -0.833 & -28.008 & 26.342 & 1 \tabularnewline
44-39 & -0.333 & -24.639 & 23.973 & 1 \tabularnewline
45-39 & 0.667 & -33.707 & 35.041 & 1 \tabularnewline
46-39 & 15.667 & -11.508 & 42.842 & 0.876 \tabularnewline
48-39 & -0.333 & -27.508 & 26.842 & 1 \tabularnewline
50-39 & -0.833 & -28.008 & 26.342 & 1 \tabularnewline
52-39 & 0.667 & -33.707 & 35.041 & 1 \tabularnewline
54-39 & -0.333 & -24.639 & 23.973 & 1 \tabularnewline
55-39 & -0.333 & -27.508 & 26.842 & 1 \tabularnewline
57-39 & -0.333 & -34.707 & 34.041 & 1 \tabularnewline
58-39 & -0.333 & -34.707 & 34.041 & 1 \tabularnewline
59-39 & 0.667 & -33.707 & 35.041 & 1 \tabularnewline
60-39 & -1.333 & -35.707 & 33.041 & 1 \tabularnewline
66-39 & 0.667 & -33.707 & 35.041 & 1 \tabularnewline
43-41 & -1 & -30.769 & 28.769 & 1 \tabularnewline
44-41 & -0.5 & -27.675 & 26.675 & 1 \tabularnewline
45-41 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
46-41 & 15.5 & -14.269 & 45.269 & 0.949 \tabularnewline
48-41 & -0.5 & -30.269 & 29.269 & 1 \tabularnewline
50-41 & -1 & -30.769 & 28.769 & 1 \tabularnewline
52-41 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
54-41 & -0.5 & -27.675 & 26.675 & 1 \tabularnewline
55-41 & -0.5 & -30.269 & 29.269 & 1 \tabularnewline
57-41 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
58-41 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
59-41 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
60-41 & -1.5 & -37.959 & 34.959 & 1 \tabularnewline
66-41 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
44-43 & 0.5 & -26.675 & 27.675 & 1 \tabularnewline
45-43 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
46-43 & 16.5 & -13.269 & 46.269 & 0.911 \tabularnewline
48-43 & 0.5 & -29.269 & 30.269 & 1 \tabularnewline
50-43 & 0 & -29.769 & 29.769 & 1 \tabularnewline
52-43 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
54-43 & 0.5 & -26.675 & 27.675 & 1 \tabularnewline
55-43 & 0.5 & -29.269 & 30.269 & 1 \tabularnewline
57-43 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
58-43 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
59-43 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
60-43 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
66-43 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
45-44 & 1 & -33.374 & 35.374 & 1 \tabularnewline
46-44 & 16 & -11.175 & 43.175 & 0.855 \tabularnewline
48-44 & 0 & -27.175 & 27.175 & 1 \tabularnewline
50-44 & -0.5 & -27.675 & 26.675 & 1 \tabularnewline
52-44 & 1 & -33.374 & 35.374 & 1 \tabularnewline
54-44 & 0 & -24.306 & 24.306 & 1 \tabularnewline
55-44 & 0 & -27.175 & 27.175 & 1 \tabularnewline
57-44 & 0 & -34.374 & 34.374 & 1 \tabularnewline
58-44 & 0 & -34.374 & 34.374 & 1 \tabularnewline
59-44 & 1 & -33.374 & 35.374 & 1 \tabularnewline
60-44 & -1 & -35.374 & 33.374 & 1 \tabularnewline
66-44 & 1 & -33.374 & 35.374 & 1 \tabularnewline
46-45 & 15 & -21.459 & 51.459 & 0.996 \tabularnewline
48-45 & -1 & -37.459 & 35.459 & 1 \tabularnewline
50-45 & -1.5 & -37.959 & 34.959 & 1 \tabularnewline
52-45 & 0 & -42.099 & 42.099 & 1 \tabularnewline
54-45 & -1 & -35.374 & 33.374 & 1 \tabularnewline
55-45 & -1 & -37.459 & 35.459 & 1 \tabularnewline
57-45 & -1 & -43.099 & 41.099 & 1 \tabularnewline
58-45 & -1 & -43.099 & 41.099 & 1 \tabularnewline
59-45 & 0 & -42.099 & 42.099 & 1 \tabularnewline
60-45 & -2 & -44.099 & 40.099 & 1 \tabularnewline
66-45 & 0 & -42.099 & 42.099 & 1 \tabularnewline
48-46 & -16 & -45.769 & 13.769 & 0.932 \tabularnewline
50-46 & -16.5 & -46.269 & 13.269 & 0.911 \tabularnewline
52-46 & -15 & -51.459 & 21.459 & 0.996 \tabularnewline
54-46 & -16 & -43.175 & 11.175 & 0.855 \tabularnewline
55-46 & -16 & -45.769 & 13.769 & 0.932 \tabularnewline
57-46 & -16 & -52.459 & 20.459 & 0.992 \tabularnewline
58-46 & -16 & -52.459 & 20.459 & 0.992 \tabularnewline
59-46 & -15 & -51.459 & 21.459 & 0.996 \tabularnewline
60-46 & -17 & -53.459 & 19.459 & 0.984 \tabularnewline
66-46 & -15 & -51.459 & 21.459 & 0.996 \tabularnewline
50-48 & -0.5 & -30.269 & 29.269 & 1 \tabularnewline
52-48 & 1 & -35.459 & 37.459 & 1 \tabularnewline
54-48 & 0 & -27.175 & 27.175 & 1 \tabularnewline
55-48 & 0 & -29.769 & 29.769 & 1 \tabularnewline
57-48 & 0 & -36.459 & 36.459 & 1 \tabularnewline
58-48 & 0 & -36.459 & 36.459 & 1 \tabularnewline
59-48 & 1 & -35.459 & 37.459 & 1 \tabularnewline
60-48 & -1 & -37.459 & 35.459 & 1 \tabularnewline
66-48 & 1 & -35.459 & 37.459 & 1 \tabularnewline
52-50 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
54-50 & 0.5 & -26.675 & 27.675 & 1 \tabularnewline
55-50 & 0.5 & -29.269 & 30.269 & 1 \tabularnewline
57-50 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
58-50 & 0.5 & -35.959 & 36.959 & 1 \tabularnewline
59-50 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
60-50 & -0.5 & -36.959 & 35.959 & 1 \tabularnewline
66-50 & 1.5 & -34.959 & 37.959 & 1 \tabularnewline
54-52 & -1 & -35.374 & 33.374 & 1 \tabularnewline
55-52 & -1 & -37.459 & 35.459 & 1 \tabularnewline
57-52 & -1 & -43.099 & 41.099 & 1 \tabularnewline
58-52 & -1 & -43.099 & 41.099 & 1 \tabularnewline
59-52 & 0 & -42.099 & 42.099 & 1 \tabularnewline
60-52 & -2 & -44.099 & 40.099 & 1 \tabularnewline
66-52 & 0 & -42.099 & 42.099 & 1 \tabularnewline
55-54 & 0 & -27.175 & 27.175 & 1 \tabularnewline
57-54 & 0 & -34.374 & 34.374 & 1 \tabularnewline
58-54 & 0 & -34.374 & 34.374 & 1 \tabularnewline
59-54 & 1 & -33.374 & 35.374 & 1 \tabularnewline
60-54 & -1 & -35.374 & 33.374 & 1 \tabularnewline
66-54 & 1 & -33.374 & 35.374 & 1 \tabularnewline
57-55 & 0 & -36.459 & 36.459 & 1 \tabularnewline
58-55 & 0 & -36.459 & 36.459 & 1 \tabularnewline
59-55 & 1 & -35.459 & 37.459 & 1 \tabularnewline
60-55 & -1 & -37.459 & 35.459 & 1 \tabularnewline
66-55 & 1 & -35.459 & 37.459 & 1 \tabularnewline
58-57 & 0 & -42.099 & 42.099 & 1 \tabularnewline
59-57 & 1 & -41.099 & 43.099 & 1 \tabularnewline
60-57 & -1 & -43.099 & 41.099 & 1 \tabularnewline
66-57 & 1 & -41.099 & 43.099 & 1 \tabularnewline
59-58 & 1 & -41.099 & 43.099 & 1 \tabularnewline
60-58 & -1 & -43.099 & 41.099 & 1 \tabularnewline
66-58 & 1 & -41.099 & 43.099 & 1 \tabularnewline
60-59 & -2 & -44.099 & 40.099 & 1 \tabularnewline
66-59 & 0 & -42.099 & 42.099 & 1 \tabularnewline
66-60 & 2 & -40.099 & 44.099 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255399&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]3.243[/C][C]-3.095[/C][C]9.58[/C][C]0.957[/C][/ROW]
[ROW][C]3-1[/C][C]5.525[/C][C]-1.541[/C][C]12.592[/C][C]0.362[/C][/ROW]
[ROW][C]30-1[/C][C]-42.389[/C][C]-72.568[/C][C]-12.21[/C][C]0[/C][/ROW]
[ROW][C]34-1[/C][C]-43.389[/C][C]-73.568[/C][C]-13.21[/C][C]0[/C][/ROW]
[ROW][C]37-1[/C][C]-44.389[/C][C]-66.015[/C][C]-22.762[/C][C]0[/C][/ROW]
[ROW][C]39-1[/C][C]-43.056[/C][C]-60.944[/C][C]-25.167[/C][C]0[/C][/ROW]
[ROW][C]41-1[/C][C]-42.889[/C][C]-64.515[/C][C]-21.262[/C][C]0[/C][/ROW]
[ROW][C]43-1[/C][C]-43.889[/C][C]-65.515[/C][C]-22.262[/C][C]0[/C][/ROW]
[ROW][C]44-1[/C][C]-43.389[/C][C]-61.278[/C][C]-25.5[/C][C]0[/C][/ROW]
[ROW][C]45-1[/C][C]-42.389[/C][C]-72.568[/C][C]-12.21[/C][C]0[/C][/ROW]
[ROW][C]46-1[/C][C]-27.389[/C][C]-49.015[/C][C]-5.762[/C][C]0.002[/C][/ROW]
[ROW][C]48-1[/C][C]-43.389[/C][C]-65.015[/C][C]-21.762[/C][C]0[/C][/ROW]
[ROW][C]50-1[/C][C]-43.889[/C][C]-65.515[/C][C]-22.262[/C][C]0[/C][/ROW]
[ROW][C]52-1[/C][C]-42.389[/C][C]-72.568[/C][C]-12.21[/C][C]0[/C][/ROW]
[ROW][C]54-1[/C][C]-43.389[/C][C]-61.278[/C][C]-25.5[/C][C]0[/C][/ROW]
[ROW][C]55-1[/C][C]-43.389[/C][C]-65.015[/C][C]-21.762[/C][C]0[/C][/ROW]
[ROW][C]57-1[/C][C]-43.389[/C][C]-73.568[/C][C]-13.21[/C][C]0[/C][/ROW]
[ROW][C]58-1[/C][C]-43.389[/C][C]-73.568[/C][C]-13.21[/C][C]0[/C][/ROW]
[ROW][C]59-1[/C][C]-42.389[/C][C]-72.568[/C][C]-12.21[/C][C]0[/C][/ROW]
[ROW][C]60-1[/C][C]-44.389[/C][C]-74.568[/C][C]-14.21[/C][C]0[/C][/ROW]
[ROW][C]66-1[/C][C]-42.389[/C][C]-72.568[/C][C]-12.21[/C][C]0[/C][/ROW]
[ROW][C]3-2[/C][C]2.283[/C][C]-4.11[/C][C]8.675[/C][C]0.999[/C][/ROW]
[ROW][C]30-2[/C][C]-45.632[/C][C]-75.66[/C][C]-15.603[/C][C]0[/C][/ROW]
[ROW][C]34-2[/C][C]-46.632[/C][C]-76.66[/C][C]-16.603[/C][C]0[/C][/ROW]
[ROW][C]37-2[/C][C]-47.632[/C][C]-69.047[/C][C]-26.216[/C][C]0[/C][/ROW]
[ROW][C]39-2[/C][C]-46.298[/C][C]-63.932[/C][C]-28.665[/C][C]0[/C][/ROW]
[ROW][C]41-2[/C][C]-46.132[/C][C]-67.547[/C][C]-24.716[/C][C]0[/C][/ROW]
[ROW][C]43-2[/C][C]-47.132[/C][C]-68.547[/C][C]-25.716[/C][C]0[/C][/ROW]
[ROW][C]44-2[/C][C]-46.632[/C][C]-64.265[/C][C]-28.998[/C][C]0[/C][/ROW]
[ROW][C]45-2[/C][C]-45.632[/C][C]-75.66[/C][C]-15.603[/C][C]0[/C][/ROW]
[ROW][C]46-2[/C][C]-30.632[/C][C]-52.047[/C][C]-9.216[/C][C]0[/C][/ROW]
[ROW][C]48-2[/C][C]-46.632[/C][C]-68.047[/C][C]-25.216[/C][C]0[/C][/ROW]
[ROW][C]50-2[/C][C]-47.132[/C][C]-68.547[/C][C]-25.716[/C][C]0[/C][/ROW]
[ROW][C]52-2[/C][C]-45.632[/C][C]-75.66[/C][C]-15.603[/C][C]0[/C][/ROW]
[ROW][C]54-2[/C][C]-46.632[/C][C]-64.265[/C][C]-28.998[/C][C]0[/C][/ROW]
[ROW][C]55-2[/C][C]-46.632[/C][C]-68.047[/C][C]-25.216[/C][C]0[/C][/ROW]
[ROW][C]57-2[/C][C]-46.632[/C][C]-76.66[/C][C]-16.603[/C][C]0[/C][/ROW]
[ROW][C]58-2[/C][C]-46.632[/C][C]-76.66[/C][C]-16.603[/C][C]0[/C][/ROW]
[ROW][C]59-2[/C][C]-45.632[/C][C]-75.66[/C][C]-15.603[/C][C]0[/C][/ROW]
[ROW][C]60-2[/C][C]-47.632[/C][C]-77.66[/C][C]-17.603[/C][C]0[/C][/ROW]
[ROW][C]66-2[/C][C]-45.632[/C][C]-75.66[/C][C]-15.603[/C][C]0[/C][/ROW]
[ROW][C]30-3[/C][C]-47.914[/C][C]-78.105[/C][C]-17.723[/C][C]0[/C][/ROW]
[ROW][C]34-3[/C][C]-48.914[/C][C]-79.105[/C][C]-18.723[/C][C]0[/C][/ROW]
[ROW][C]37-3[/C][C]-49.914[/C][C]-71.557[/C][C]-28.272[/C][C]0[/C][/ROW]
[ROW][C]39-3[/C][C]-48.581[/C][C]-66.489[/C][C]-30.673[/C][C]0[/C][/ROW]
[ROW][C]41-3[/C][C]-48.414[/C][C]-70.057[/C][C]-26.772[/C][C]0[/C][/ROW]
[ROW][C]43-3[/C][C]-49.414[/C][C]-71.057[/C][C]-27.772[/C][C]0[/C][/ROW]
[ROW][C]44-3[/C][C]-48.914[/C][C]-66.823[/C][C]-31.006[/C][C]0[/C][/ROW]
[ROW][C]45-3[/C][C]-47.914[/C][C]-78.105[/C][C]-17.723[/C][C]0[/C][/ROW]
[ROW][C]46-3[/C][C]-32.914[/C][C]-54.557[/C][C]-11.272[/C][C]0[/C][/ROW]
[ROW][C]48-3[/C][C]-48.914[/C][C]-70.557[/C][C]-27.272[/C][C]0[/C][/ROW]
[ROW][C]50-3[/C][C]-49.414[/C][C]-71.057[/C][C]-27.772[/C][C]0[/C][/ROW]
[ROW][C]52-3[/C][C]-47.914[/C][C]-78.105[/C][C]-17.723[/C][C]0[/C][/ROW]
[ROW][C]54-3[/C][C]-48.914[/C][C]-66.823[/C][C]-31.006[/C][C]0[/C][/ROW]
[ROW][C]55-3[/C][C]-48.914[/C][C]-70.557[/C][C]-27.272[/C][C]0[/C][/ROW]
[ROW][C]57-3[/C][C]-48.914[/C][C]-79.105[/C][C]-18.723[/C][C]0[/C][/ROW]
[ROW][C]58-3[/C][C]-48.914[/C][C]-79.105[/C][C]-18.723[/C][C]0[/C][/ROW]
[ROW][C]59-3[/C][C]-47.914[/C][C]-78.105[/C][C]-17.723[/C][C]0[/C][/ROW]
[ROW][C]60-3[/C][C]-49.914[/C][C]-80.105[/C][C]-19.723[/C][C]0[/C][/ROW]
[ROW][C]66-3[/C][C]-47.914[/C][C]-78.105[/C][C]-17.723[/C][C]0[/C][/ROW]
[ROW][C]34-30[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]37-30[/C][C]-2[/C][C]-38.459[/C][C]34.459[/C][C]1[/C][/ROW]
[ROW][C]39-30[/C][C]-0.667[/C][C]-35.041[/C][C]33.707[/C][C]1[/C][/ROW]
[ROW][C]41-30[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]43-30[/C][C]-1.5[/C][C]-37.959[/C][C]34.959[/C][C]1[/C][/ROW]
[ROW][C]44-30[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]45-30[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]46-30[/C][C]15[/C][C]-21.459[/C][C]51.459[/C][C]0.996[/C][/ROW]
[ROW][C]48-30[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]50-30[/C][C]-1.5[/C][C]-37.959[/C][C]34.959[/C][C]1[/C][/ROW]
[ROW][C]52-30[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]54-30[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]55-30[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]57-30[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]58-30[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]59-30[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]60-30[/C][C]-2[/C][C]-44.099[/C][C]40.099[/C][C]1[/C][/ROW]
[ROW][C]66-30[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]37-34[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]39-34[/C][C]0.333[/C][C]-34.041[/C][C]34.707[/C][C]1[/C][/ROW]
[ROW][C]41-34[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]43-34[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]44-34[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]45-34[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]46-34[/C][C]16[/C][C]-20.459[/C][C]52.459[/C][C]0.992[/C][/ROW]
[ROW][C]48-34[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]50-34[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]52-34[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]54-34[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]55-34[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]57-34[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]58-34[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]59-34[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]60-34[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]66-34[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]39-37[/C][C]1.333[/C][C]-25.842[/C][C]28.508[/C][C]1[/C][/ROW]
[ROW][C]41-37[/C][C]1.5[/C][C]-28.269[/C][C]31.269[/C][C]1[/C][/ROW]
[ROW][C]43-37[/C][C]0.5[/C][C]-29.269[/C][C]30.269[/C][C]1[/C][/ROW]
[ROW][C]44-37[/C][C]1[/C][C]-26.175[/C][C]28.175[/C][C]1[/C][/ROW]
[ROW][C]45-37[/C][C]2[/C][C]-34.459[/C][C]38.459[/C][C]1[/C][/ROW]
[ROW][C]46-37[/C][C]17[/C][C]-12.769[/C][C]46.769[/C][C]0.885[/C][/ROW]
[ROW][C]48-37[/C][C]1[/C][C]-28.769[/C][C]30.769[/C][C]1[/C][/ROW]
[ROW][C]50-37[/C][C]0.5[/C][C]-29.269[/C][C]30.269[/C][C]1[/C][/ROW]
[ROW][C]52-37[/C][C]2[/C][C]-34.459[/C][C]38.459[/C][C]1[/C][/ROW]
[ROW][C]54-37[/C][C]1[/C][C]-26.175[/C][C]28.175[/C][C]1[/C][/ROW]
[ROW][C]55-37[/C][C]1[/C][C]-28.769[/C][C]30.769[/C][C]1[/C][/ROW]
[ROW][C]57-37[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]58-37[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]59-37[/C][C]2[/C][C]-34.459[/C][C]38.459[/C][C]1[/C][/ROW]
[ROW][C]60-37[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]66-37[/C][C]2[/C][C]-34.459[/C][C]38.459[/C][C]1[/C][/ROW]
[ROW][C]41-39[/C][C]0.167[/C][C]-27.008[/C][C]27.342[/C][C]1[/C][/ROW]
[ROW][C]43-39[/C][C]-0.833[/C][C]-28.008[/C][C]26.342[/C][C]1[/C][/ROW]
[ROW][C]44-39[/C][C]-0.333[/C][C]-24.639[/C][C]23.973[/C][C]1[/C][/ROW]
[ROW][C]45-39[/C][C]0.667[/C][C]-33.707[/C][C]35.041[/C][C]1[/C][/ROW]
[ROW][C]46-39[/C][C]15.667[/C][C]-11.508[/C][C]42.842[/C][C]0.876[/C][/ROW]
[ROW][C]48-39[/C][C]-0.333[/C][C]-27.508[/C][C]26.842[/C][C]1[/C][/ROW]
[ROW][C]50-39[/C][C]-0.833[/C][C]-28.008[/C][C]26.342[/C][C]1[/C][/ROW]
[ROW][C]52-39[/C][C]0.667[/C][C]-33.707[/C][C]35.041[/C][C]1[/C][/ROW]
[ROW][C]54-39[/C][C]-0.333[/C][C]-24.639[/C][C]23.973[/C][C]1[/C][/ROW]
[ROW][C]55-39[/C][C]-0.333[/C][C]-27.508[/C][C]26.842[/C][C]1[/C][/ROW]
[ROW][C]57-39[/C][C]-0.333[/C][C]-34.707[/C][C]34.041[/C][C]1[/C][/ROW]
[ROW][C]58-39[/C][C]-0.333[/C][C]-34.707[/C][C]34.041[/C][C]1[/C][/ROW]
[ROW][C]59-39[/C][C]0.667[/C][C]-33.707[/C][C]35.041[/C][C]1[/C][/ROW]
[ROW][C]60-39[/C][C]-1.333[/C][C]-35.707[/C][C]33.041[/C][C]1[/C][/ROW]
[ROW][C]66-39[/C][C]0.667[/C][C]-33.707[/C][C]35.041[/C][C]1[/C][/ROW]
[ROW][C]43-41[/C][C]-1[/C][C]-30.769[/C][C]28.769[/C][C]1[/C][/ROW]
[ROW][C]44-41[/C][C]-0.5[/C][C]-27.675[/C][C]26.675[/C][C]1[/C][/ROW]
[ROW][C]45-41[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]46-41[/C][C]15.5[/C][C]-14.269[/C][C]45.269[/C][C]0.949[/C][/ROW]
[ROW][C]48-41[/C][C]-0.5[/C][C]-30.269[/C][C]29.269[/C][C]1[/C][/ROW]
[ROW][C]50-41[/C][C]-1[/C][C]-30.769[/C][C]28.769[/C][C]1[/C][/ROW]
[ROW][C]52-41[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]54-41[/C][C]-0.5[/C][C]-27.675[/C][C]26.675[/C][C]1[/C][/ROW]
[ROW][C]55-41[/C][C]-0.5[/C][C]-30.269[/C][C]29.269[/C][C]1[/C][/ROW]
[ROW][C]57-41[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]58-41[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]59-41[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]60-41[/C][C]-1.5[/C][C]-37.959[/C][C]34.959[/C][C]1[/C][/ROW]
[ROW][C]66-41[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]44-43[/C][C]0.5[/C][C]-26.675[/C][C]27.675[/C][C]1[/C][/ROW]
[ROW][C]45-43[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]46-43[/C][C]16.5[/C][C]-13.269[/C][C]46.269[/C][C]0.911[/C][/ROW]
[ROW][C]48-43[/C][C]0.5[/C][C]-29.269[/C][C]30.269[/C][C]1[/C][/ROW]
[ROW][C]50-43[/C][C]0[/C][C]-29.769[/C][C]29.769[/C][C]1[/C][/ROW]
[ROW][C]52-43[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]54-43[/C][C]0.5[/C][C]-26.675[/C][C]27.675[/C][C]1[/C][/ROW]
[ROW][C]55-43[/C][C]0.5[/C][C]-29.269[/C][C]30.269[/C][C]1[/C][/ROW]
[ROW][C]57-43[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]58-43[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]59-43[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]60-43[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]66-43[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]45-44[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]46-44[/C][C]16[/C][C]-11.175[/C][C]43.175[/C][C]0.855[/C][/ROW]
[ROW][C]48-44[/C][C]0[/C][C]-27.175[/C][C]27.175[/C][C]1[/C][/ROW]
[ROW][C]50-44[/C][C]-0.5[/C][C]-27.675[/C][C]26.675[/C][C]1[/C][/ROW]
[ROW][C]52-44[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]54-44[/C][C]0[/C][C]-24.306[/C][C]24.306[/C][C]1[/C][/ROW]
[ROW][C]55-44[/C][C]0[/C][C]-27.175[/C][C]27.175[/C][C]1[/C][/ROW]
[ROW][C]57-44[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]58-44[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]59-44[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]60-44[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]66-44[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]46-45[/C][C]15[/C][C]-21.459[/C][C]51.459[/C][C]0.996[/C][/ROW]
[ROW][C]48-45[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]50-45[/C][C]-1.5[/C][C]-37.959[/C][C]34.959[/C][C]1[/C][/ROW]
[ROW][C]52-45[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]54-45[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]55-45[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]57-45[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]58-45[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]59-45[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]60-45[/C][C]-2[/C][C]-44.099[/C][C]40.099[/C][C]1[/C][/ROW]
[ROW][C]66-45[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]48-46[/C][C]-16[/C][C]-45.769[/C][C]13.769[/C][C]0.932[/C][/ROW]
[ROW][C]50-46[/C][C]-16.5[/C][C]-46.269[/C][C]13.269[/C][C]0.911[/C][/ROW]
[ROW][C]52-46[/C][C]-15[/C][C]-51.459[/C][C]21.459[/C][C]0.996[/C][/ROW]
[ROW][C]54-46[/C][C]-16[/C][C]-43.175[/C][C]11.175[/C][C]0.855[/C][/ROW]
[ROW][C]55-46[/C][C]-16[/C][C]-45.769[/C][C]13.769[/C][C]0.932[/C][/ROW]
[ROW][C]57-46[/C][C]-16[/C][C]-52.459[/C][C]20.459[/C][C]0.992[/C][/ROW]
[ROW][C]58-46[/C][C]-16[/C][C]-52.459[/C][C]20.459[/C][C]0.992[/C][/ROW]
[ROW][C]59-46[/C][C]-15[/C][C]-51.459[/C][C]21.459[/C][C]0.996[/C][/ROW]
[ROW][C]60-46[/C][C]-17[/C][C]-53.459[/C][C]19.459[/C][C]0.984[/C][/ROW]
[ROW][C]66-46[/C][C]-15[/C][C]-51.459[/C][C]21.459[/C][C]0.996[/C][/ROW]
[ROW][C]50-48[/C][C]-0.5[/C][C]-30.269[/C][C]29.269[/C][C]1[/C][/ROW]
[ROW][C]52-48[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]54-48[/C][C]0[/C][C]-27.175[/C][C]27.175[/C][C]1[/C][/ROW]
[ROW][C]55-48[/C][C]0[/C][C]-29.769[/C][C]29.769[/C][C]1[/C][/ROW]
[ROW][C]57-48[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]58-48[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]59-48[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]60-48[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]66-48[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]52-50[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]54-50[/C][C]0.5[/C][C]-26.675[/C][C]27.675[/C][C]1[/C][/ROW]
[ROW][C]55-50[/C][C]0.5[/C][C]-29.269[/C][C]30.269[/C][C]1[/C][/ROW]
[ROW][C]57-50[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]58-50[/C][C]0.5[/C][C]-35.959[/C][C]36.959[/C][C]1[/C][/ROW]
[ROW][C]59-50[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]60-50[/C][C]-0.5[/C][C]-36.959[/C][C]35.959[/C][C]1[/C][/ROW]
[ROW][C]66-50[/C][C]1.5[/C][C]-34.959[/C][C]37.959[/C][C]1[/C][/ROW]
[ROW][C]54-52[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]55-52[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]57-52[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]58-52[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]59-52[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]60-52[/C][C]-2[/C][C]-44.099[/C][C]40.099[/C][C]1[/C][/ROW]
[ROW][C]66-52[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]55-54[/C][C]0[/C][C]-27.175[/C][C]27.175[/C][C]1[/C][/ROW]
[ROW][C]57-54[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]58-54[/C][C]0[/C][C]-34.374[/C][C]34.374[/C][C]1[/C][/ROW]
[ROW][C]59-54[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]60-54[/C][C]-1[/C][C]-35.374[/C][C]33.374[/C][C]1[/C][/ROW]
[ROW][C]66-54[/C][C]1[/C][C]-33.374[/C][C]35.374[/C][C]1[/C][/ROW]
[ROW][C]57-55[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]58-55[/C][C]0[/C][C]-36.459[/C][C]36.459[/C][C]1[/C][/ROW]
[ROW][C]59-55[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]60-55[/C][C]-1[/C][C]-37.459[/C][C]35.459[/C][C]1[/C][/ROW]
[ROW][C]66-55[/C][C]1[/C][C]-35.459[/C][C]37.459[/C][C]1[/C][/ROW]
[ROW][C]58-57[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]59-57[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]60-57[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]66-57[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]59-58[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]60-58[/C][C]-1[/C][C]-43.099[/C][C]41.099[/C][C]1[/C][/ROW]
[ROW][C]66-58[/C][C]1[/C][C]-41.099[/C][C]43.099[/C][C]1[/C][/ROW]
[ROW][C]60-59[/C][C]-2[/C][C]-44.099[/C][C]40.099[/C][C]1[/C][/ROW]
[ROW][C]66-59[/C][C]0[/C][C]-42.099[/C][C]42.099[/C][C]1[/C][/ROW]
[ROW][C]66-60[/C][C]2[/C][C]-40.099[/C][C]44.099[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255399&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255399&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
2-13.243-3.0959.580.957
3-15.525-1.54112.5920.362
30-1-42.389-72.568-12.210
34-1-43.389-73.568-13.210
37-1-44.389-66.015-22.7620
39-1-43.056-60.944-25.1670
41-1-42.889-64.515-21.2620
43-1-43.889-65.515-22.2620
44-1-43.389-61.278-25.50
45-1-42.389-72.568-12.210
46-1-27.389-49.015-5.7620.002
48-1-43.389-65.015-21.7620
50-1-43.889-65.515-22.2620
52-1-42.389-72.568-12.210
54-1-43.389-61.278-25.50
55-1-43.389-65.015-21.7620
57-1-43.389-73.568-13.210
58-1-43.389-73.568-13.210
59-1-42.389-72.568-12.210
60-1-44.389-74.568-14.210
66-1-42.389-72.568-12.210
3-22.283-4.118.6750.999
30-2-45.632-75.66-15.6030
34-2-46.632-76.66-16.6030
37-2-47.632-69.047-26.2160
39-2-46.298-63.932-28.6650
41-2-46.132-67.547-24.7160
43-2-47.132-68.547-25.7160
44-2-46.632-64.265-28.9980
45-2-45.632-75.66-15.6030
46-2-30.632-52.047-9.2160
48-2-46.632-68.047-25.2160
50-2-47.132-68.547-25.7160
52-2-45.632-75.66-15.6030
54-2-46.632-64.265-28.9980
55-2-46.632-68.047-25.2160
57-2-46.632-76.66-16.6030
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Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group212.8740
138 

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 21 & 2.874 & 0 \tabularnewline
  & 138 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255399&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]2.874[/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=255399&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255399&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)
Group212.8740
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')