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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 21:51:15 +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/t1416261119vltu62tno2x8um2.htm/, Retrieved Sun, 19 May 2024 16:36:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255820, Retrieved Sun, 19 May 2024 16:36:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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)] [question 3 ] [2014-11-17 21:51:15] [7ed8772db0cfc679c58cb1bcd9480dbb] [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	1
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	2
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	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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255820&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255820&T=0

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


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

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






ANOVA Model
MC30VRB ~ MWARM30
means45.9472.1235.628-42.947-43.947-44.947-43.614-43.447-44.447-43.947-42.947-27.947-43.947-44.447-42.947-43.947-43.947-43.947-43.947-42.947-44.947-42.947

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
MC30VRB  ~  MWARM30 \tabularnewline
means & 45.947 & 2.123 & 5.628 & -42.947 & -43.947 & -44.947 & -43.614 & -43.447 & -44.447 & -43.947 & -42.947 & -27.947 & -43.947 & -44.447 & -42.947 & -43.947 & -43.947 & -43.947 & -43.947 & -42.947 & -44.947 & -42.947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255820&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]MC30VRB  ~  MWARM30[/C][/ROW]
[ROW][C]means[/C][C]45.947[/C][C]2.123[/C][C]5.628[/C][C]-42.947[/C][C]-43.947[/C][C]-44.947[/C][C]-43.614[/C][C]-43.447[/C][C]-44.447[/C][C]-43.947[/C][C]-42.947[/C][C]-27.947[/C][C]-43.947[/C][C]-44.447[/C][C]-42.947[/C][C]-43.947[/C][C]-43.947[/C][C]-43.947[/C][C]-43.947[/C][C]-42.947[/C][C]-44.947[/C][C]-42.947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255820&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
means45.9472.1235.628-42.947-43.947-44.947-43.614-43.447-44.447-43.947-42.947-27.947-43.947-44.447-42.947-43.947-43.947-43.947-43.947-42.947-44.947-42.947






ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MWARM302153542.9342549.66438.7340
Residuals1389083.84165.825 

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MWARM30 & 21 & 53542.934 & 2549.664 & 38.734 & 0 \tabularnewline
Residuals & 138 & 9083.841 & 65.825 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255820&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]53542.934[/C][C]2549.664[/C][C]38.734[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]138[/C][C]9083.841[/C][C]65.825[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255820&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255820&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)
MWARM302153542.9342549.66438.7340
Residuals1389083.84165.825






Tukey Honest Significant Difference Comparisons
difflwruprp adj
2-12.123-4.1068.3511
3-15.628-1.44812.7050.33
30-1-42.947-73.077-12.8180
34-1-43.947-74.077-13.8180
37-1-44.947-66.524-23.3710
39-1-43.614-61.45-25.7780
41-1-43.447-65.024-21.8710
43-1-44.447-66.024-22.8710
44-1-43.947-61.783-26.1110
45-1-42.947-73.077-12.8180
46-1-27.947-49.524-6.3710.001
48-1-43.947-65.524-22.3710
50-1-44.447-66.024-22.8710
52-1-42.947-73.077-12.8180
54-1-43.947-61.783-26.1110
55-1-43.947-65.524-22.3710
57-1-43.947-74.077-13.8180
58-1-43.947-74.077-13.8180
59-1-42.947-73.077-12.8180
60-1-44.947-75.077-14.8180
66-1-42.947-73.077-12.8180
3-23.506-310.0110.93
30-2-45.07-75.071-15.0690
34-2-46.07-76.071-16.0690
37-2-47.07-68.466-25.6740
39-2-45.737-63.354-28.120
41-2-45.57-66.966-24.1740
43-2-46.57-67.966-25.1740
44-2-46.07-63.687-28.4530
45-2-45.07-75.071-15.0690
46-2-30.07-51.466-8.6740
48-2-46.07-67.466-24.6740
50-2-46.57-67.966-25.1740
52-2-45.07-75.071-15.0690
54-2-46.07-63.687-28.4530
55-2-46.07-67.466-24.6740
57-2-46.07-76.071-16.0690
58-2-46.07-76.071-16.0690
59-2-45.07-75.071-15.0690
60-2-47.07-77.071-17.0690
66-2-45.07-75.071-15.0690
30-3-48.576-78.764-18.3880
34-3-49.576-79.764-19.3880
37-3-50.576-72.234-28.9180
39-3-49.242-67.177-31.3080
41-3-49.076-70.734-27.4180
43-3-50.076-71.734-28.4180
44-3-49.576-67.51-31.6410
45-3-48.576-78.764-18.3880
46-3-33.576-55.234-11.9180
48-3-49.576-71.234-27.9180
50-3-50.076-71.734-28.4180
52-3-48.576-78.764-18.3880
54-3-49.576-67.51-31.6410
55-3-49.576-71.234-27.9180
57-3-49.576-79.764-19.3880
58-3-49.576-79.764-19.3880
59-3-48.576-78.764-18.3880
60-3-50.576-80.764-20.3880
66-3-48.576-78.764-18.3880
34-30-1-43.0641.061
37-30-2-38.42534.4251
39-30-0.667-35.00933.6751
41-30-0.5-36.92535.9251
43-30-1.5-37.92534.9251
44-30-1-35.34233.3421
45-300-42.0642.061
46-3015-21.42551.4250.996
48-30-1-37.42535.4251
50-30-1.5-37.92534.9251
52-300-42.0642.061
54-30-1-35.34233.3421
55-30-1-37.42535.4251
57-30-1-43.0641.061
58-30-1-43.0641.061
59-300-42.0642.061
60-30-2-44.0640.061
66-300-42.0642.061
37-34-1-37.42535.4251
39-340.333-34.00934.6751
41-340.5-35.92536.9251
43-34-0.5-36.92535.9251
44-340-34.34234.3421
45-341-41.0643.061
46-3416-20.42552.4250.992
48-340-36.42536.4251
50-34-0.5-36.92535.9251
52-341-41.0643.061
54-340-34.34234.3421
55-340-36.42536.4251
57-340-42.0642.061
58-340-42.0642.061
59-341-41.0643.061
60-34-1-43.0641.061
66-341-41.0643.061
39-371.333-25.81628.4831
41-371.5-28.24131.2411
43-370.5-29.24130.2411
44-371-26.1528.151
45-372-34.42538.4251
46-3717-12.74146.7410.885
48-371-28.74130.7411
50-370.5-29.24130.2411
52-372-34.42538.4251
54-371-26.1528.151
55-371-28.74130.7411
57-371-35.42537.4251
58-371-35.42537.4251
59-372-34.42538.4251
60-370-36.42536.4251
66-372-34.42538.4251
41-390.167-26.98327.3161
43-39-0.833-27.98326.3161
44-39-0.333-24.61723.951
45-390.667-33.67535.0091
46-3915.667-11.48342.8160.875
48-39-0.333-27.48326.8161
50-39-0.833-27.98326.3161
52-390.667-33.67535.0091
54-39-0.333-24.61723.951
55-39-0.333-27.48326.8161
57-39-0.333-34.67534.0091
58-39-0.333-34.67534.0091
59-390.667-33.67535.0091
60-39-1.333-35.67533.0091
66-390.667-33.67535.0091
43-41-1-30.74128.7411
44-41-0.5-27.6526.651
45-410.5-35.92536.9251
46-4115.5-14.24145.2410.949
48-41-0.5-30.24129.2411
50-41-1-30.74128.7411
52-410.5-35.92536.9251
54-41-0.5-27.6526.651
55-41-0.5-30.24129.2411
57-41-0.5-36.92535.9251
58-41-0.5-36.92535.9251
59-410.5-35.92536.9251
60-41-1.5-37.92534.9251
66-410.5-35.92536.9251
44-430.5-26.6527.651
45-431.5-34.92537.9251
46-4316.5-13.24146.2410.91
48-430.5-29.24130.2411
50-430-29.74129.7411
52-431.5-34.92537.9251
54-430.5-26.6527.651
55-430.5-29.24130.2411
57-430.5-35.92536.9251
58-430.5-35.92536.9251
59-431.5-34.92537.9251
60-43-0.5-36.92535.9251
66-431.5-34.92537.9251
45-441-33.34235.3421
46-4416-11.1543.150.854
48-440-27.1527.151
50-44-0.5-27.6526.651
52-441-33.34235.3421
54-440-24.28324.2831
55-440-27.1527.151
57-440-34.34234.3421
58-440-34.34234.3421
59-441-33.34235.3421
60-44-1-35.34233.3421
66-441-33.34235.3421
46-4515-21.42551.4250.996
48-45-1-37.42535.4251
50-45-1.5-37.92534.9251
52-450-42.0642.061
54-45-1-35.34233.3421
55-45-1-37.42535.4251
57-45-1-43.0641.061
58-45-1-43.0641.061
59-450-42.0642.061
60-45-2-44.0640.061
66-450-42.0642.061
48-46-16-45.74113.7410.931
50-46-16.5-46.24113.2410.91
52-46-15-51.42521.4250.996
54-46-16-43.1511.150.854
55-46-16-45.74113.7410.931
57-46-16-52.42520.4250.992
58-46-16-52.42520.4250.992
59-46-15-51.42521.4250.996
60-46-17-53.42519.4250.984
66-46-15-51.42521.4250.996
50-48-0.5-30.24129.2411
52-481-35.42537.4251
54-480-27.1527.151
55-480-29.74129.7411
57-480-36.42536.4251
58-480-36.42536.4251
59-481-35.42537.4251
60-48-1-37.42535.4251
66-481-35.42537.4251
52-501.5-34.92537.9251
54-500.5-26.6527.651
55-500.5-29.24130.2411
57-500.5-35.92536.9251
58-500.5-35.92536.9251
59-501.5-34.92537.9251
60-50-0.5-36.92535.9251
66-501.5-34.92537.9251
54-52-1-35.34233.3421
55-52-1-37.42535.4251
57-52-1-43.0641.061
58-52-1-43.0641.061
59-520-42.0642.061
60-52-2-44.0640.061
66-520-42.0642.061
55-540-27.1527.151
57-540-34.34234.3421
58-540-34.34234.3421
59-541-33.34235.3421
60-54-1-35.34233.3421
66-541-33.34235.3421
57-550-36.42536.4251
58-550-36.42536.4251
59-551-35.42537.4251
60-55-1-37.42535.4251
66-551-35.42537.4251
58-570-42.0642.061
59-571-41.0643.061
60-57-1-43.0641.061
66-571-41.0643.061
59-581-41.0643.061
60-58-1-43.0641.061
66-581-41.0643.061
60-59-2-44.0640.061
66-590-42.0642.061
66-602-40.0644.061

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
2-1 & 2.123 & -4.106 & 8.351 & 1 \tabularnewline
3-1 & 5.628 & -1.448 & 12.705 & 0.33 \tabularnewline
30-1 & -42.947 & -73.077 & -12.818 & 0 \tabularnewline
34-1 & -43.947 & -74.077 & -13.818 & 0 \tabularnewline
37-1 & -44.947 & -66.524 & -23.371 & 0 \tabularnewline
39-1 & -43.614 & -61.45 & -25.778 & 0 \tabularnewline
41-1 & -43.447 & -65.024 & -21.871 & 0 \tabularnewline
43-1 & -44.447 & -66.024 & -22.871 & 0 \tabularnewline
44-1 & -43.947 & -61.783 & -26.111 & 0 \tabularnewline
45-1 & -42.947 & -73.077 & -12.818 & 0 \tabularnewline
46-1 & -27.947 & -49.524 & -6.371 & 0.001 \tabularnewline
48-1 & -43.947 & -65.524 & -22.371 & 0 \tabularnewline
50-1 & -44.447 & -66.024 & -22.871 & 0 \tabularnewline
52-1 & -42.947 & -73.077 & -12.818 & 0 \tabularnewline
54-1 & -43.947 & -61.783 & -26.111 & 0 \tabularnewline
55-1 & -43.947 & -65.524 & -22.371 & 0 \tabularnewline
57-1 & -43.947 & -74.077 & -13.818 & 0 \tabularnewline
58-1 & -43.947 & -74.077 & -13.818 & 0 \tabularnewline
59-1 & -42.947 & -73.077 & -12.818 & 0 \tabularnewline
60-1 & -44.947 & -75.077 & -14.818 & 0 \tabularnewline
66-1 & -42.947 & -73.077 & -12.818 & 0 \tabularnewline
3-2 & 3.506 & -3 & 10.011 & 0.93 \tabularnewline
30-2 & -45.07 & -75.071 & -15.069 & 0 \tabularnewline
34-2 & -46.07 & -76.071 & -16.069 & 0 \tabularnewline
37-2 & -47.07 & -68.466 & -25.674 & 0 \tabularnewline
39-2 & -45.737 & -63.354 & -28.12 & 0 \tabularnewline
41-2 & -45.57 & -66.966 & -24.174 & 0 \tabularnewline
43-2 & -46.57 & -67.966 & -25.174 & 0 \tabularnewline
44-2 & -46.07 & -63.687 & -28.453 & 0 \tabularnewline
45-2 & -45.07 & -75.071 & -15.069 & 0 \tabularnewline
46-2 & -30.07 & -51.466 & -8.674 & 0 \tabularnewline
48-2 & -46.07 & -67.466 & -24.674 & 0 \tabularnewline
50-2 & -46.57 & -67.966 & -25.174 & 0 \tabularnewline
52-2 & -45.07 & -75.071 & -15.069 & 0 \tabularnewline
54-2 & -46.07 & -63.687 & -28.453 & 0 \tabularnewline
55-2 & -46.07 & -67.466 & -24.674 & 0 \tabularnewline
57-2 & -46.07 & -76.071 & -16.069 & 0 \tabularnewline
58-2 & -46.07 & -76.071 & -16.069 & 0 \tabularnewline
59-2 & -45.07 & -75.071 & -15.069 & 0 \tabularnewline
60-2 & -47.07 & -77.071 & -17.069 & 0 \tabularnewline
66-2 & -45.07 & -75.071 & -15.069 & 0 \tabularnewline
30-3 & -48.576 & -78.764 & -18.388 & 0 \tabularnewline
34-3 & -49.576 & -79.764 & -19.388 & 0 \tabularnewline
37-3 & -50.576 & -72.234 & -28.918 & 0 \tabularnewline
39-3 & -49.242 & -67.177 & -31.308 & 0 \tabularnewline
41-3 & -49.076 & -70.734 & -27.418 & 0 \tabularnewline
43-3 & -50.076 & -71.734 & -28.418 & 0 \tabularnewline
44-3 & -49.576 & -67.51 & -31.641 & 0 \tabularnewline
45-3 & -48.576 & -78.764 & -18.388 & 0 \tabularnewline
46-3 & -33.576 & -55.234 & -11.918 & 0 \tabularnewline
48-3 & -49.576 & -71.234 & -27.918 & 0 \tabularnewline
50-3 & -50.076 & -71.734 & -28.418 & 0 \tabularnewline
52-3 & -48.576 & -78.764 & -18.388 & 0 \tabularnewline
54-3 & -49.576 & -67.51 & -31.641 & 0 \tabularnewline
55-3 & -49.576 & -71.234 & -27.918 & 0 \tabularnewline
57-3 & -49.576 & -79.764 & -19.388 & 0 \tabularnewline
58-3 & -49.576 & -79.764 & -19.388 & 0 \tabularnewline
59-3 & -48.576 & -78.764 & -18.388 & 0 \tabularnewline
60-3 & -50.576 & -80.764 & -20.388 & 0 \tabularnewline
66-3 & -48.576 & -78.764 & -18.388 & 0 \tabularnewline
34-30 & -1 & -43.06 & 41.06 & 1 \tabularnewline
37-30 & -2 & -38.425 & 34.425 & 1 \tabularnewline
39-30 & -0.667 & -35.009 & 33.675 & 1 \tabularnewline
41-30 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
43-30 & -1.5 & -37.925 & 34.925 & 1 \tabularnewline
44-30 & -1 & -35.342 & 33.342 & 1 \tabularnewline
45-30 & 0 & -42.06 & 42.06 & 1 \tabularnewline
46-30 & 15 & -21.425 & 51.425 & 0.996 \tabularnewline
48-30 & -1 & -37.425 & 35.425 & 1 \tabularnewline
50-30 & -1.5 & -37.925 & 34.925 & 1 \tabularnewline
52-30 & 0 & -42.06 & 42.06 & 1 \tabularnewline
54-30 & -1 & -35.342 & 33.342 & 1 \tabularnewline
55-30 & -1 & -37.425 & 35.425 & 1 \tabularnewline
57-30 & -1 & -43.06 & 41.06 & 1 \tabularnewline
58-30 & -1 & -43.06 & 41.06 & 1 \tabularnewline
59-30 & 0 & -42.06 & 42.06 & 1 \tabularnewline
60-30 & -2 & -44.06 & 40.06 & 1 \tabularnewline
66-30 & 0 & -42.06 & 42.06 & 1 \tabularnewline
37-34 & -1 & -37.425 & 35.425 & 1 \tabularnewline
39-34 & 0.333 & -34.009 & 34.675 & 1 \tabularnewline
41-34 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
43-34 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
44-34 & 0 & -34.342 & 34.342 & 1 \tabularnewline
45-34 & 1 & -41.06 & 43.06 & 1 \tabularnewline
46-34 & 16 & -20.425 & 52.425 & 0.992 \tabularnewline
48-34 & 0 & -36.425 & 36.425 & 1 \tabularnewline
50-34 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
52-34 & 1 & -41.06 & 43.06 & 1 \tabularnewline
54-34 & 0 & -34.342 & 34.342 & 1 \tabularnewline
55-34 & 0 & -36.425 & 36.425 & 1 \tabularnewline
57-34 & 0 & -42.06 & 42.06 & 1 \tabularnewline
58-34 & 0 & -42.06 & 42.06 & 1 \tabularnewline
59-34 & 1 & -41.06 & 43.06 & 1 \tabularnewline
60-34 & -1 & -43.06 & 41.06 & 1 \tabularnewline
66-34 & 1 & -41.06 & 43.06 & 1 \tabularnewline
39-37 & 1.333 & -25.816 & 28.483 & 1 \tabularnewline
41-37 & 1.5 & -28.241 & 31.241 & 1 \tabularnewline
43-37 & 0.5 & -29.241 & 30.241 & 1 \tabularnewline
44-37 & 1 & -26.15 & 28.15 & 1 \tabularnewline
45-37 & 2 & -34.425 & 38.425 & 1 \tabularnewline
46-37 & 17 & -12.741 & 46.741 & 0.885 \tabularnewline
48-37 & 1 & -28.741 & 30.741 & 1 \tabularnewline
50-37 & 0.5 & -29.241 & 30.241 & 1 \tabularnewline
52-37 & 2 & -34.425 & 38.425 & 1 \tabularnewline
54-37 & 1 & -26.15 & 28.15 & 1 \tabularnewline
55-37 & 1 & -28.741 & 30.741 & 1 \tabularnewline
57-37 & 1 & -35.425 & 37.425 & 1 \tabularnewline
58-37 & 1 & -35.425 & 37.425 & 1 \tabularnewline
59-37 & 2 & -34.425 & 38.425 & 1 \tabularnewline
60-37 & 0 & -36.425 & 36.425 & 1 \tabularnewline
66-37 & 2 & -34.425 & 38.425 & 1 \tabularnewline
41-39 & 0.167 & -26.983 & 27.316 & 1 \tabularnewline
43-39 & -0.833 & -27.983 & 26.316 & 1 \tabularnewline
44-39 & -0.333 & -24.617 & 23.95 & 1 \tabularnewline
45-39 & 0.667 & -33.675 & 35.009 & 1 \tabularnewline
46-39 & 15.667 & -11.483 & 42.816 & 0.875 \tabularnewline
48-39 & -0.333 & -27.483 & 26.816 & 1 \tabularnewline
50-39 & -0.833 & -27.983 & 26.316 & 1 \tabularnewline
52-39 & 0.667 & -33.675 & 35.009 & 1 \tabularnewline
54-39 & -0.333 & -24.617 & 23.95 & 1 \tabularnewline
55-39 & -0.333 & -27.483 & 26.816 & 1 \tabularnewline
57-39 & -0.333 & -34.675 & 34.009 & 1 \tabularnewline
58-39 & -0.333 & -34.675 & 34.009 & 1 \tabularnewline
59-39 & 0.667 & -33.675 & 35.009 & 1 \tabularnewline
60-39 & -1.333 & -35.675 & 33.009 & 1 \tabularnewline
66-39 & 0.667 & -33.675 & 35.009 & 1 \tabularnewline
43-41 & -1 & -30.741 & 28.741 & 1 \tabularnewline
44-41 & -0.5 & -27.65 & 26.65 & 1 \tabularnewline
45-41 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
46-41 & 15.5 & -14.241 & 45.241 & 0.949 \tabularnewline
48-41 & -0.5 & -30.241 & 29.241 & 1 \tabularnewline
50-41 & -1 & -30.741 & 28.741 & 1 \tabularnewline
52-41 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
54-41 & -0.5 & -27.65 & 26.65 & 1 \tabularnewline
55-41 & -0.5 & -30.241 & 29.241 & 1 \tabularnewline
57-41 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
58-41 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
59-41 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
60-41 & -1.5 & -37.925 & 34.925 & 1 \tabularnewline
66-41 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
44-43 & 0.5 & -26.65 & 27.65 & 1 \tabularnewline
45-43 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
46-43 & 16.5 & -13.241 & 46.241 & 0.91 \tabularnewline
48-43 & 0.5 & -29.241 & 30.241 & 1 \tabularnewline
50-43 & 0 & -29.741 & 29.741 & 1 \tabularnewline
52-43 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
54-43 & 0.5 & -26.65 & 27.65 & 1 \tabularnewline
55-43 & 0.5 & -29.241 & 30.241 & 1 \tabularnewline
57-43 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
58-43 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
59-43 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
60-43 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
66-43 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
45-44 & 1 & -33.342 & 35.342 & 1 \tabularnewline
46-44 & 16 & -11.15 & 43.15 & 0.854 \tabularnewline
48-44 & 0 & -27.15 & 27.15 & 1 \tabularnewline
50-44 & -0.5 & -27.65 & 26.65 & 1 \tabularnewline
52-44 & 1 & -33.342 & 35.342 & 1 \tabularnewline
54-44 & 0 & -24.283 & 24.283 & 1 \tabularnewline
55-44 & 0 & -27.15 & 27.15 & 1 \tabularnewline
57-44 & 0 & -34.342 & 34.342 & 1 \tabularnewline
58-44 & 0 & -34.342 & 34.342 & 1 \tabularnewline
59-44 & 1 & -33.342 & 35.342 & 1 \tabularnewline
60-44 & -1 & -35.342 & 33.342 & 1 \tabularnewline
66-44 & 1 & -33.342 & 35.342 & 1 \tabularnewline
46-45 & 15 & -21.425 & 51.425 & 0.996 \tabularnewline
48-45 & -1 & -37.425 & 35.425 & 1 \tabularnewline
50-45 & -1.5 & -37.925 & 34.925 & 1 \tabularnewline
52-45 & 0 & -42.06 & 42.06 & 1 \tabularnewline
54-45 & -1 & -35.342 & 33.342 & 1 \tabularnewline
55-45 & -1 & -37.425 & 35.425 & 1 \tabularnewline
57-45 & -1 & -43.06 & 41.06 & 1 \tabularnewline
58-45 & -1 & -43.06 & 41.06 & 1 \tabularnewline
59-45 & 0 & -42.06 & 42.06 & 1 \tabularnewline
60-45 & -2 & -44.06 & 40.06 & 1 \tabularnewline
66-45 & 0 & -42.06 & 42.06 & 1 \tabularnewline
48-46 & -16 & -45.741 & 13.741 & 0.931 \tabularnewline
50-46 & -16.5 & -46.241 & 13.241 & 0.91 \tabularnewline
52-46 & -15 & -51.425 & 21.425 & 0.996 \tabularnewline
54-46 & -16 & -43.15 & 11.15 & 0.854 \tabularnewline
55-46 & -16 & -45.741 & 13.741 & 0.931 \tabularnewline
57-46 & -16 & -52.425 & 20.425 & 0.992 \tabularnewline
58-46 & -16 & -52.425 & 20.425 & 0.992 \tabularnewline
59-46 & -15 & -51.425 & 21.425 & 0.996 \tabularnewline
60-46 & -17 & -53.425 & 19.425 & 0.984 \tabularnewline
66-46 & -15 & -51.425 & 21.425 & 0.996 \tabularnewline
50-48 & -0.5 & -30.241 & 29.241 & 1 \tabularnewline
52-48 & 1 & -35.425 & 37.425 & 1 \tabularnewline
54-48 & 0 & -27.15 & 27.15 & 1 \tabularnewline
55-48 & 0 & -29.741 & 29.741 & 1 \tabularnewline
57-48 & 0 & -36.425 & 36.425 & 1 \tabularnewline
58-48 & 0 & -36.425 & 36.425 & 1 \tabularnewline
59-48 & 1 & -35.425 & 37.425 & 1 \tabularnewline
60-48 & -1 & -37.425 & 35.425 & 1 \tabularnewline
66-48 & 1 & -35.425 & 37.425 & 1 \tabularnewline
52-50 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
54-50 & 0.5 & -26.65 & 27.65 & 1 \tabularnewline
55-50 & 0.5 & -29.241 & 30.241 & 1 \tabularnewline
57-50 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
58-50 & 0.5 & -35.925 & 36.925 & 1 \tabularnewline
59-50 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
60-50 & -0.5 & -36.925 & 35.925 & 1 \tabularnewline
66-50 & 1.5 & -34.925 & 37.925 & 1 \tabularnewline
54-52 & -1 & -35.342 & 33.342 & 1 \tabularnewline
55-52 & -1 & -37.425 & 35.425 & 1 \tabularnewline
57-52 & -1 & -43.06 & 41.06 & 1 \tabularnewline
58-52 & -1 & -43.06 & 41.06 & 1 \tabularnewline
59-52 & 0 & -42.06 & 42.06 & 1 \tabularnewline
60-52 & -2 & -44.06 & 40.06 & 1 \tabularnewline
66-52 & 0 & -42.06 & 42.06 & 1 \tabularnewline
55-54 & 0 & -27.15 & 27.15 & 1 \tabularnewline
57-54 & 0 & -34.342 & 34.342 & 1 \tabularnewline
58-54 & 0 & -34.342 & 34.342 & 1 \tabularnewline
59-54 & 1 & -33.342 & 35.342 & 1 \tabularnewline
60-54 & -1 & -35.342 & 33.342 & 1 \tabularnewline
66-54 & 1 & -33.342 & 35.342 & 1 \tabularnewline
57-55 & 0 & -36.425 & 36.425 & 1 \tabularnewline
58-55 & 0 & -36.425 & 36.425 & 1 \tabularnewline
59-55 & 1 & -35.425 & 37.425 & 1 \tabularnewline
60-55 & -1 & -37.425 & 35.425 & 1 \tabularnewline
66-55 & 1 & -35.425 & 37.425 & 1 \tabularnewline
58-57 & 0 & -42.06 & 42.06 & 1 \tabularnewline
59-57 & 1 & -41.06 & 43.06 & 1 \tabularnewline
60-57 & -1 & -43.06 & 41.06 & 1 \tabularnewline
66-57 & 1 & -41.06 & 43.06 & 1 \tabularnewline
59-58 & 1 & -41.06 & 43.06 & 1 \tabularnewline
60-58 & -1 & -43.06 & 41.06 & 1 \tabularnewline
66-58 & 1 & -41.06 & 43.06 & 1 \tabularnewline
60-59 & -2 & -44.06 & 40.06 & 1 \tabularnewline
66-59 & 0 & -42.06 & 42.06 & 1 \tabularnewline
66-60 & 2 & -40.06 & 44.06 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255820&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]2.123[/C][C]-4.106[/C][C]8.351[/C][C]1[/C][/ROW]
[ROW][C]3-1[/C][C]5.628[/C][C]-1.448[/C][C]12.705[/C][C]0.33[/C][/ROW]
[ROW][C]30-1[/C][C]-42.947[/C][C]-73.077[/C][C]-12.818[/C][C]0[/C][/ROW]
[ROW][C]34-1[/C][C]-43.947[/C][C]-74.077[/C][C]-13.818[/C][C]0[/C][/ROW]
[ROW][C]37-1[/C][C]-44.947[/C][C]-66.524[/C][C]-23.371[/C][C]0[/C][/ROW]
[ROW][C]39-1[/C][C]-43.614[/C][C]-61.45[/C][C]-25.778[/C][C]0[/C][/ROW]
[ROW][C]41-1[/C][C]-43.447[/C][C]-65.024[/C][C]-21.871[/C][C]0[/C][/ROW]
[ROW][C]43-1[/C][C]-44.447[/C][C]-66.024[/C][C]-22.871[/C][C]0[/C][/ROW]
[ROW][C]44-1[/C][C]-43.947[/C][C]-61.783[/C][C]-26.111[/C][C]0[/C][/ROW]
[ROW][C]45-1[/C][C]-42.947[/C][C]-73.077[/C][C]-12.818[/C][C]0[/C][/ROW]
[ROW][C]46-1[/C][C]-27.947[/C][C]-49.524[/C][C]-6.371[/C][C]0.001[/C][/ROW]
[ROW][C]48-1[/C][C]-43.947[/C][C]-65.524[/C][C]-22.371[/C][C]0[/C][/ROW]
[ROW][C]50-1[/C][C]-44.447[/C][C]-66.024[/C][C]-22.871[/C][C]0[/C][/ROW]
[ROW][C]52-1[/C][C]-42.947[/C][C]-73.077[/C][C]-12.818[/C][C]0[/C][/ROW]
[ROW][C]54-1[/C][C]-43.947[/C][C]-61.783[/C][C]-26.111[/C][C]0[/C][/ROW]
[ROW][C]55-1[/C][C]-43.947[/C][C]-65.524[/C][C]-22.371[/C][C]0[/C][/ROW]
[ROW][C]57-1[/C][C]-43.947[/C][C]-74.077[/C][C]-13.818[/C][C]0[/C][/ROW]
[ROW][C]58-1[/C][C]-43.947[/C][C]-74.077[/C][C]-13.818[/C][C]0[/C][/ROW]
[ROW][C]59-1[/C][C]-42.947[/C][C]-73.077[/C][C]-12.818[/C][C]0[/C][/ROW]
[ROW][C]60-1[/C][C]-44.947[/C][C]-75.077[/C][C]-14.818[/C][C]0[/C][/ROW]
[ROW][C]66-1[/C][C]-42.947[/C][C]-73.077[/C][C]-12.818[/C][C]0[/C][/ROW]
[ROW][C]3-2[/C][C]3.506[/C][C]-3[/C][C]10.011[/C][C]0.93[/C][/ROW]
[ROW][C]30-2[/C][C]-45.07[/C][C]-75.071[/C][C]-15.069[/C][C]0[/C][/ROW]
[ROW][C]34-2[/C][C]-46.07[/C][C]-76.071[/C][C]-16.069[/C][C]0[/C][/ROW]
[ROW][C]37-2[/C][C]-47.07[/C][C]-68.466[/C][C]-25.674[/C][C]0[/C][/ROW]
[ROW][C]39-2[/C][C]-45.737[/C][C]-63.354[/C][C]-28.12[/C][C]0[/C][/ROW]
[ROW][C]41-2[/C][C]-45.57[/C][C]-66.966[/C][C]-24.174[/C][C]0[/C][/ROW]
[ROW][C]43-2[/C][C]-46.57[/C][C]-67.966[/C][C]-25.174[/C][C]0[/C][/ROW]
[ROW][C]44-2[/C][C]-46.07[/C][C]-63.687[/C][C]-28.453[/C][C]0[/C][/ROW]
[ROW][C]45-2[/C][C]-45.07[/C][C]-75.071[/C][C]-15.069[/C][C]0[/C][/ROW]
[ROW][C]46-2[/C][C]-30.07[/C][C]-51.466[/C][C]-8.674[/C][C]0[/C][/ROW]
[ROW][C]48-2[/C][C]-46.07[/C][C]-67.466[/C][C]-24.674[/C][C]0[/C][/ROW]
[ROW][C]50-2[/C][C]-46.57[/C][C]-67.966[/C][C]-25.174[/C][C]0[/C][/ROW]
[ROW][C]52-2[/C][C]-45.07[/C][C]-75.071[/C][C]-15.069[/C][C]0[/C][/ROW]
[ROW][C]54-2[/C][C]-46.07[/C][C]-63.687[/C][C]-28.453[/C][C]0[/C][/ROW]
[ROW][C]55-2[/C][C]-46.07[/C][C]-67.466[/C][C]-24.674[/C][C]0[/C][/ROW]
[ROW][C]57-2[/C][C]-46.07[/C][C]-76.071[/C][C]-16.069[/C][C]0[/C][/ROW]
[ROW][C]58-2[/C][C]-46.07[/C][C]-76.071[/C][C]-16.069[/C][C]0[/C][/ROW]
[ROW][C]59-2[/C][C]-45.07[/C][C]-75.071[/C][C]-15.069[/C][C]0[/C][/ROW]
[ROW][C]60-2[/C][C]-47.07[/C][C]-77.071[/C][C]-17.069[/C][C]0[/C][/ROW]
[ROW][C]66-2[/C][C]-45.07[/C][C]-75.071[/C][C]-15.069[/C][C]0[/C][/ROW]
[ROW][C]30-3[/C][C]-48.576[/C][C]-78.764[/C][C]-18.388[/C][C]0[/C][/ROW]
[ROW][C]34-3[/C][C]-49.576[/C][C]-79.764[/C][C]-19.388[/C][C]0[/C][/ROW]
[ROW][C]37-3[/C][C]-50.576[/C][C]-72.234[/C][C]-28.918[/C][C]0[/C][/ROW]
[ROW][C]39-3[/C][C]-49.242[/C][C]-67.177[/C][C]-31.308[/C][C]0[/C][/ROW]
[ROW][C]41-3[/C][C]-49.076[/C][C]-70.734[/C][C]-27.418[/C][C]0[/C][/ROW]
[ROW][C]43-3[/C][C]-50.076[/C][C]-71.734[/C][C]-28.418[/C][C]0[/C][/ROW]
[ROW][C]44-3[/C][C]-49.576[/C][C]-67.51[/C][C]-31.641[/C][C]0[/C][/ROW]
[ROW][C]45-3[/C][C]-48.576[/C][C]-78.764[/C][C]-18.388[/C][C]0[/C][/ROW]
[ROW][C]46-3[/C][C]-33.576[/C][C]-55.234[/C][C]-11.918[/C][C]0[/C][/ROW]
[ROW][C]48-3[/C][C]-49.576[/C][C]-71.234[/C][C]-27.918[/C][C]0[/C][/ROW]
[ROW][C]50-3[/C][C]-50.076[/C][C]-71.734[/C][C]-28.418[/C][C]0[/C][/ROW]
[ROW][C]52-3[/C][C]-48.576[/C][C]-78.764[/C][C]-18.388[/C][C]0[/C][/ROW]
[ROW][C]54-3[/C][C]-49.576[/C][C]-67.51[/C][C]-31.641[/C][C]0[/C][/ROW]
[ROW][C]55-3[/C][C]-49.576[/C][C]-71.234[/C][C]-27.918[/C][C]0[/C][/ROW]
[ROW][C]57-3[/C][C]-49.576[/C][C]-79.764[/C][C]-19.388[/C][C]0[/C][/ROW]
[ROW][C]58-3[/C][C]-49.576[/C][C]-79.764[/C][C]-19.388[/C][C]0[/C][/ROW]
[ROW][C]59-3[/C][C]-48.576[/C][C]-78.764[/C][C]-18.388[/C][C]0[/C][/ROW]
[ROW][C]60-3[/C][C]-50.576[/C][C]-80.764[/C][C]-20.388[/C][C]0[/C][/ROW]
[ROW][C]66-3[/C][C]-48.576[/C][C]-78.764[/C][C]-18.388[/C][C]0[/C][/ROW]
[ROW][C]34-30[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]37-30[/C][C]-2[/C][C]-38.425[/C][C]34.425[/C][C]1[/C][/ROW]
[ROW][C]39-30[/C][C]-0.667[/C][C]-35.009[/C][C]33.675[/C][C]1[/C][/ROW]
[ROW][C]41-30[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]43-30[/C][C]-1.5[/C][C]-37.925[/C][C]34.925[/C][C]1[/C][/ROW]
[ROW][C]44-30[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]45-30[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]46-30[/C][C]15[/C][C]-21.425[/C][C]51.425[/C][C]0.996[/C][/ROW]
[ROW][C]48-30[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]50-30[/C][C]-1.5[/C][C]-37.925[/C][C]34.925[/C][C]1[/C][/ROW]
[ROW][C]52-30[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]54-30[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]55-30[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]57-30[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]58-30[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]59-30[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]60-30[/C][C]-2[/C][C]-44.06[/C][C]40.06[/C][C]1[/C][/ROW]
[ROW][C]66-30[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]37-34[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]39-34[/C][C]0.333[/C][C]-34.009[/C][C]34.675[/C][C]1[/C][/ROW]
[ROW][C]41-34[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]43-34[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]44-34[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]45-34[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]46-34[/C][C]16[/C][C]-20.425[/C][C]52.425[/C][C]0.992[/C][/ROW]
[ROW][C]48-34[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]50-34[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]52-34[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]54-34[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]55-34[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]57-34[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]58-34[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]59-34[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]60-34[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]66-34[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]39-37[/C][C]1.333[/C][C]-25.816[/C][C]28.483[/C][C]1[/C][/ROW]
[ROW][C]41-37[/C][C]1.5[/C][C]-28.241[/C][C]31.241[/C][C]1[/C][/ROW]
[ROW][C]43-37[/C][C]0.5[/C][C]-29.241[/C][C]30.241[/C][C]1[/C][/ROW]
[ROW][C]44-37[/C][C]1[/C][C]-26.15[/C][C]28.15[/C][C]1[/C][/ROW]
[ROW][C]45-37[/C][C]2[/C][C]-34.425[/C][C]38.425[/C][C]1[/C][/ROW]
[ROW][C]46-37[/C][C]17[/C][C]-12.741[/C][C]46.741[/C][C]0.885[/C][/ROW]
[ROW][C]48-37[/C][C]1[/C][C]-28.741[/C][C]30.741[/C][C]1[/C][/ROW]
[ROW][C]50-37[/C][C]0.5[/C][C]-29.241[/C][C]30.241[/C][C]1[/C][/ROW]
[ROW][C]52-37[/C][C]2[/C][C]-34.425[/C][C]38.425[/C][C]1[/C][/ROW]
[ROW][C]54-37[/C][C]1[/C][C]-26.15[/C][C]28.15[/C][C]1[/C][/ROW]
[ROW][C]55-37[/C][C]1[/C][C]-28.741[/C][C]30.741[/C][C]1[/C][/ROW]
[ROW][C]57-37[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]58-37[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]59-37[/C][C]2[/C][C]-34.425[/C][C]38.425[/C][C]1[/C][/ROW]
[ROW][C]60-37[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]66-37[/C][C]2[/C][C]-34.425[/C][C]38.425[/C][C]1[/C][/ROW]
[ROW][C]41-39[/C][C]0.167[/C][C]-26.983[/C][C]27.316[/C][C]1[/C][/ROW]
[ROW][C]43-39[/C][C]-0.833[/C][C]-27.983[/C][C]26.316[/C][C]1[/C][/ROW]
[ROW][C]44-39[/C][C]-0.333[/C][C]-24.617[/C][C]23.95[/C][C]1[/C][/ROW]
[ROW][C]45-39[/C][C]0.667[/C][C]-33.675[/C][C]35.009[/C][C]1[/C][/ROW]
[ROW][C]46-39[/C][C]15.667[/C][C]-11.483[/C][C]42.816[/C][C]0.875[/C][/ROW]
[ROW][C]48-39[/C][C]-0.333[/C][C]-27.483[/C][C]26.816[/C][C]1[/C][/ROW]
[ROW][C]50-39[/C][C]-0.833[/C][C]-27.983[/C][C]26.316[/C][C]1[/C][/ROW]
[ROW][C]52-39[/C][C]0.667[/C][C]-33.675[/C][C]35.009[/C][C]1[/C][/ROW]
[ROW][C]54-39[/C][C]-0.333[/C][C]-24.617[/C][C]23.95[/C][C]1[/C][/ROW]
[ROW][C]55-39[/C][C]-0.333[/C][C]-27.483[/C][C]26.816[/C][C]1[/C][/ROW]
[ROW][C]57-39[/C][C]-0.333[/C][C]-34.675[/C][C]34.009[/C][C]1[/C][/ROW]
[ROW][C]58-39[/C][C]-0.333[/C][C]-34.675[/C][C]34.009[/C][C]1[/C][/ROW]
[ROW][C]59-39[/C][C]0.667[/C][C]-33.675[/C][C]35.009[/C][C]1[/C][/ROW]
[ROW][C]60-39[/C][C]-1.333[/C][C]-35.675[/C][C]33.009[/C][C]1[/C][/ROW]
[ROW][C]66-39[/C][C]0.667[/C][C]-33.675[/C][C]35.009[/C][C]1[/C][/ROW]
[ROW][C]43-41[/C][C]-1[/C][C]-30.741[/C][C]28.741[/C][C]1[/C][/ROW]
[ROW][C]44-41[/C][C]-0.5[/C][C]-27.65[/C][C]26.65[/C][C]1[/C][/ROW]
[ROW][C]45-41[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]46-41[/C][C]15.5[/C][C]-14.241[/C][C]45.241[/C][C]0.949[/C][/ROW]
[ROW][C]48-41[/C][C]-0.5[/C][C]-30.241[/C][C]29.241[/C][C]1[/C][/ROW]
[ROW][C]50-41[/C][C]-1[/C][C]-30.741[/C][C]28.741[/C][C]1[/C][/ROW]
[ROW][C]52-41[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]54-41[/C][C]-0.5[/C][C]-27.65[/C][C]26.65[/C][C]1[/C][/ROW]
[ROW][C]55-41[/C][C]-0.5[/C][C]-30.241[/C][C]29.241[/C][C]1[/C][/ROW]
[ROW][C]57-41[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]58-41[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]59-41[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]60-41[/C][C]-1.5[/C][C]-37.925[/C][C]34.925[/C][C]1[/C][/ROW]
[ROW][C]66-41[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]44-43[/C][C]0.5[/C][C]-26.65[/C][C]27.65[/C][C]1[/C][/ROW]
[ROW][C]45-43[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]46-43[/C][C]16.5[/C][C]-13.241[/C][C]46.241[/C][C]0.91[/C][/ROW]
[ROW][C]48-43[/C][C]0.5[/C][C]-29.241[/C][C]30.241[/C][C]1[/C][/ROW]
[ROW][C]50-43[/C][C]0[/C][C]-29.741[/C][C]29.741[/C][C]1[/C][/ROW]
[ROW][C]52-43[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]54-43[/C][C]0.5[/C][C]-26.65[/C][C]27.65[/C][C]1[/C][/ROW]
[ROW][C]55-43[/C][C]0.5[/C][C]-29.241[/C][C]30.241[/C][C]1[/C][/ROW]
[ROW][C]57-43[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]58-43[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]59-43[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]60-43[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]66-43[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]45-44[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]46-44[/C][C]16[/C][C]-11.15[/C][C]43.15[/C][C]0.854[/C][/ROW]
[ROW][C]48-44[/C][C]0[/C][C]-27.15[/C][C]27.15[/C][C]1[/C][/ROW]
[ROW][C]50-44[/C][C]-0.5[/C][C]-27.65[/C][C]26.65[/C][C]1[/C][/ROW]
[ROW][C]52-44[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]54-44[/C][C]0[/C][C]-24.283[/C][C]24.283[/C][C]1[/C][/ROW]
[ROW][C]55-44[/C][C]0[/C][C]-27.15[/C][C]27.15[/C][C]1[/C][/ROW]
[ROW][C]57-44[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]58-44[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]59-44[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]60-44[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]66-44[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]46-45[/C][C]15[/C][C]-21.425[/C][C]51.425[/C][C]0.996[/C][/ROW]
[ROW][C]48-45[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]50-45[/C][C]-1.5[/C][C]-37.925[/C][C]34.925[/C][C]1[/C][/ROW]
[ROW][C]52-45[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]54-45[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]55-45[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]57-45[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]58-45[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]59-45[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]60-45[/C][C]-2[/C][C]-44.06[/C][C]40.06[/C][C]1[/C][/ROW]
[ROW][C]66-45[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]48-46[/C][C]-16[/C][C]-45.741[/C][C]13.741[/C][C]0.931[/C][/ROW]
[ROW][C]50-46[/C][C]-16.5[/C][C]-46.241[/C][C]13.241[/C][C]0.91[/C][/ROW]
[ROW][C]52-46[/C][C]-15[/C][C]-51.425[/C][C]21.425[/C][C]0.996[/C][/ROW]
[ROW][C]54-46[/C][C]-16[/C][C]-43.15[/C][C]11.15[/C][C]0.854[/C][/ROW]
[ROW][C]55-46[/C][C]-16[/C][C]-45.741[/C][C]13.741[/C][C]0.931[/C][/ROW]
[ROW][C]57-46[/C][C]-16[/C][C]-52.425[/C][C]20.425[/C][C]0.992[/C][/ROW]
[ROW][C]58-46[/C][C]-16[/C][C]-52.425[/C][C]20.425[/C][C]0.992[/C][/ROW]
[ROW][C]59-46[/C][C]-15[/C][C]-51.425[/C][C]21.425[/C][C]0.996[/C][/ROW]
[ROW][C]60-46[/C][C]-17[/C][C]-53.425[/C][C]19.425[/C][C]0.984[/C][/ROW]
[ROW][C]66-46[/C][C]-15[/C][C]-51.425[/C][C]21.425[/C][C]0.996[/C][/ROW]
[ROW][C]50-48[/C][C]-0.5[/C][C]-30.241[/C][C]29.241[/C][C]1[/C][/ROW]
[ROW][C]52-48[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]54-48[/C][C]0[/C][C]-27.15[/C][C]27.15[/C][C]1[/C][/ROW]
[ROW][C]55-48[/C][C]0[/C][C]-29.741[/C][C]29.741[/C][C]1[/C][/ROW]
[ROW][C]57-48[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]58-48[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]59-48[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]60-48[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]66-48[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]52-50[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]54-50[/C][C]0.5[/C][C]-26.65[/C][C]27.65[/C][C]1[/C][/ROW]
[ROW][C]55-50[/C][C]0.5[/C][C]-29.241[/C][C]30.241[/C][C]1[/C][/ROW]
[ROW][C]57-50[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]58-50[/C][C]0.5[/C][C]-35.925[/C][C]36.925[/C][C]1[/C][/ROW]
[ROW][C]59-50[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]60-50[/C][C]-0.5[/C][C]-36.925[/C][C]35.925[/C][C]1[/C][/ROW]
[ROW][C]66-50[/C][C]1.5[/C][C]-34.925[/C][C]37.925[/C][C]1[/C][/ROW]
[ROW][C]54-52[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]55-52[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]57-52[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]58-52[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]59-52[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]60-52[/C][C]-2[/C][C]-44.06[/C][C]40.06[/C][C]1[/C][/ROW]
[ROW][C]66-52[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]55-54[/C][C]0[/C][C]-27.15[/C][C]27.15[/C][C]1[/C][/ROW]
[ROW][C]57-54[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]58-54[/C][C]0[/C][C]-34.342[/C][C]34.342[/C][C]1[/C][/ROW]
[ROW][C]59-54[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]60-54[/C][C]-1[/C][C]-35.342[/C][C]33.342[/C][C]1[/C][/ROW]
[ROW][C]66-54[/C][C]1[/C][C]-33.342[/C][C]35.342[/C][C]1[/C][/ROW]
[ROW][C]57-55[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]58-55[/C][C]0[/C][C]-36.425[/C][C]36.425[/C][C]1[/C][/ROW]
[ROW][C]59-55[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]60-55[/C][C]-1[/C][C]-37.425[/C][C]35.425[/C][C]1[/C][/ROW]
[ROW][C]66-55[/C][C]1[/C][C]-35.425[/C][C]37.425[/C][C]1[/C][/ROW]
[ROW][C]58-57[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]59-57[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]60-57[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]66-57[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]59-58[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]60-58[/C][C]-1[/C][C]-43.06[/C][C]41.06[/C][C]1[/C][/ROW]
[ROW][C]66-58[/C][C]1[/C][C]-41.06[/C][C]43.06[/C][C]1[/C][/ROW]
[ROW][C]60-59[/C][C]-2[/C][C]-44.06[/C][C]40.06[/C][C]1[/C][/ROW]
[ROW][C]66-59[/C][C]0[/C][C]-42.06[/C][C]42.06[/C][C]1[/C][/ROW]
[ROW][C]66-60[/C][C]2[/C][C]-40.06[/C][C]44.06[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255820&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255820&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
2-12.123-4.1068.3511
3-15.628-1.44812.7050.33
30-1-42.947-73.077-12.8180
34-1-43.947-74.077-13.8180
37-1-44.947-66.524-23.3710
39-1-43.614-61.45-25.7780
41-1-43.447-65.024-21.8710
43-1-44.447-66.024-22.8710
44-1-43.947-61.783-26.1110
45-1-42.947-73.077-12.8180
46-1-27.947-49.524-6.3710.001
48-1-43.947-65.524-22.3710
50-1-44.447-66.024-22.8710
52-1-42.947-73.077-12.8180
54-1-43.947-61.783-26.1110
55-1-43.947-65.524-22.3710
57-1-43.947-74.077-13.8180
58-1-43.947-74.077-13.8180
59-1-42.947-73.077-12.8180
60-1-44.947-75.077-14.8180
66-1-42.947-73.077-12.8180
3-23.506-310.0110.93
30-2-45.07-75.071-15.0690
34-2-46.07-76.071-16.0690
37-2-47.07-68.466-25.6740
39-2-45.737-63.354-28.120
41-2-45.57-66.966-24.1740
43-2-46.57-67.966-25.1740
44-2-46.07-63.687-28.4530
45-2-45.07-75.071-15.0690
46-2-30.07-51.466-8.6740
48-2-46.07-67.466-24.6740
50-2-46.57-67.966-25.1740
52-2-45.07-75.071-15.0690
54-2-46.07-63.687-28.4530
55-2-46.07-67.466-24.6740
57-2-46.07-76.071-16.0690
58-2-46.07-76.071-16.0690
59-2-45.07-75.071-15.0690
60-2-47.07-77.071-17.0690
66-2-45.07-75.071-15.0690
30-3-48.576-78.764-18.3880
34-3-49.576-79.764-19.3880
37-3-50.576-72.234-28.9180
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57-3-49.576-79.764-19.3880
58-3-49.576-79.764-19.3880
59-3-48.576-78.764-18.3880
60-3-50.576-80.764-20.3880
66-3-48.576-78.764-18.3880
34-30-1-43.0641.061
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39-30-0.667-35.00933.6751
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37-34-1-37.42535.4251
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41-340.5-35.92536.9251
43-34-0.5-36.92535.9251
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45-341-41.0643.061
46-3416-20.42552.4250.992
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50-34-0.5-36.92535.9251
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55-340-36.42536.4251
57-340-42.0642.061
58-340-42.0642.061
59-341-41.0643.061
60-34-1-43.0641.061
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39-371.333-25.81628.4831
41-371.5-28.24131.2411
43-370.5-29.24130.2411
44-371-26.1528.151
45-372-34.42538.4251
46-3717-12.74146.7410.885
48-371-28.74130.7411
50-370.5-29.24130.2411
52-372-34.42538.4251
54-371-26.1528.151
55-371-28.74130.7411
57-371-35.42537.4251
58-371-35.42537.4251
59-372-34.42538.4251
60-370-36.42536.4251
66-372-34.42538.4251
41-390.167-26.98327.3161
43-39-0.833-27.98326.3161
44-39-0.333-24.61723.951
45-390.667-33.67535.0091
46-3915.667-11.48342.8160.875
48-39-0.333-27.48326.8161
50-39-0.833-27.98326.3161
52-390.667-33.67535.0091
54-39-0.333-24.61723.951
55-39-0.333-27.48326.8161
57-39-0.333-34.67534.0091
58-39-0.333-34.67534.0091
59-390.667-33.67535.0091
60-39-1.333-35.67533.0091
66-390.667-33.67535.0091
43-41-1-30.74128.7411
44-41-0.5-27.6526.651
45-410.5-35.92536.9251
46-4115.5-14.24145.2410.949
48-41-0.5-30.24129.2411
50-41-1-30.74128.7411
52-410.5-35.92536.9251
54-41-0.5-27.6526.651
55-41-0.5-30.24129.2411
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58-41-0.5-36.92535.9251
59-410.5-35.92536.9251
60-41-1.5-37.92534.9251
66-410.5-35.92536.9251
44-430.5-26.6527.651
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46-4316.5-13.24146.2410.91
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46-4416-11.1543.150.854
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54-440-24.28324.2831
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59-441-33.34235.3421
60-44-1-35.34233.3421
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46-4515-21.42551.4250.996
48-45-1-37.42535.4251
50-45-1.5-37.92534.9251
52-450-42.0642.061
54-45-1-35.34233.3421
55-45-1-37.42535.4251
57-45-1-43.0641.061
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60-45-2-44.0640.061
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48-46-16-45.74113.7410.931
50-46-16.5-46.24113.2410.91
52-46-15-51.42521.4250.996
54-46-16-43.1511.150.854
55-46-16-45.74113.7410.931
57-46-16-52.42520.4250.992
58-46-16-52.42520.4250.992
59-46-15-51.42521.4250.996
60-46-17-53.42519.4250.984
66-46-15-51.42521.4250.996
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60-48-1-37.42535.4251
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55-540-27.1527.151
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60-54-1-35.34233.3421
66-541-33.34235.3421
57-550-36.42536.4251
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60-55-1-37.42535.4251
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66-602-40.0644.061






Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group213.0030
138 

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 21 & 3.003 & 0 \tabularnewline
  & 138 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255820&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]3.003[/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=255820&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255820&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)
Group213.0030
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')