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exercie 2 week 9

*The author of this computation has been verified*
R Software Module: Ian.Holliday/rwasp_One Factor ANOVA.wasp (opens new window with default values)
Title produced by software: Chi Square Measure of Association- Free Statistics Software (Calculator)
Date of computation: Mon, 14 Dec 2009 16:50:02 +0100
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw.htm/, Retrieved Mon, 14 Dec 2009 16:52:00 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
68 63 84 63 81 63 101 63 91 67 88 68 70 69 87 70 80 70 79 71 102 71 97 71 97 71 96 71 85 72 102 72 68 73 73 74 86 74 90 74 70 74 72 75 75 75 78 75 92 75 90 75 96 75 78 76 85 76 97 76 75 76 86 77 90 77 95 77 77 77 95 77 112 77 86 77 77 78 75 78 95 79 101 79 86 79 87 79 77 79 95 79 79 80 90 80 96 80 90 80 95 80 97 80 97 81 97 81 97 81 107 81 101 81 94 81 77 81 80 82 80 82 97 82 90 83 95 83 95 83 86 83 97 83 100 83 100 83 70 84 87 84 88 84 68 84 75 84 98 84 87 84 86 85 86 85 94 85 101 85 92 85 97 85 103 85 85 85 115 85 90 85 86 85 87 85 88 86 94 86 97 86 82 86 98 86 94 86 98 86 98 87 94 87 68 87 92 87 85 87 98 87 96 88 79 88 92 89 75 89 106 89 95 89 90 89 100 90 97 90 84 91 94 91 91 91 95 92 92 92 94 92 105 92 78 92 91 92 86 93 87 93 95 93 101 93 94 93 90 93 106 93 95 95 88 95 107 95 111 96 92 96 87 97 109 98 88 98 111 99 102 99 103 99 108 101 91 101 101 102 90 103 96 103 etc...
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework
error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.


ANOVA Model
WISCRY7V ~ MVIQL2H
means99.51.5-3.8334.511.515.515.5-0.25-16-8.5-11.5-29.5-16-5.3-6-31.5-19.75-15.667-15.75-7.929-23.5-9.333-8.333-3.786-13.833-4.786-17.643-6-6.5-10.333-12-7.9-1-9.833-7-5.357-2.8332-12.5-15.833


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MVIQL2H 407764.739194.1182.2110.001
Residuals1129832.20287.788


Tukey Honest Significant Difference Comparisons
difflwruprp adj
102-1011.5-44.52247.5221
103-101-3.833-38.13630.4691
104-1014.5-29.80338.8031
107-10111.5-34.52257.5221
109-10115.5-30.52261.5221
110-10115.5-30.52261.5221
111-101-0.25-32.79232.2921
63-101-16-48.54216.5420.995
67-101-8.5-54.52237.5221
68-101-11.5-57.52234.5221
69-101-29.5-75.52216.5220.846
70-101-16-53.57721.5771
71-101-5.3-36.73926.1391
72-101-6-43.57731.5771
73-101-31.5-77.52214.5220.735
74-101-19.75-52.29212.7920.911
75-101-15.667-46.34815.0150.991
76-101-15.75-48.29216.7920.996
77-101-7.929-38.05722.21
78-101-23.5-61.07714.0770.878
79-101-9.333-40.01521.3481
80-101-8.333-39.01522.3481
81-101-3.786-33.91426.3431
82-101-13.833-48.13620.4691
83-101-4.786-34.91425.3431
84-101-17.643-47.77112.4860.94
85-101-6-34.722.71
86-101-6.5-36.62823.6281
87-101-10.333-41.01520.3481
88-101-12-49.57725.5771
89-101-7.9-39.33923.5391
90-101-1-38.57736.5771
91-101-9.833-44.13624.4691
92-101-7-37.68123.6811
93-101-5.357-35.48624.7711
95-101-2.833-37.13631.4691
96-1012-35.57739.5771
97-101-12.5-58.52233.5221
98-101-1-38.57736.5771
99-1015.833-28.46940.1361
103-102-5.333-48.72338.0571
104-1023-40.3946.391
107-10210-43.14263.1421
109-10214-39.14267.1421
110-10214-39.14267.1421
111-102-1.75-43.76240.2621
63-102-17.5-59.51224.5121
67-102-10-63.14243.1421
68-102-13-66.14240.1421
69-102-31-84.14222.1420.943
70-102-17.5-63.52228.5221
71-102-6.8-47.96334.3631
72-102-7.5-53.52238.5221
73-102-33-86.14220.1420.886
74-102-21.25-63.26220.7620.992
75-102-17.167-57.75423.4211
76-102-17.25-59.26224.7621
77-102-9.429-49.630.7431
78-102-25-71.02221.0220.977
79-102-10.833-51.42129.7541
80-102-9.833-50.42130.7541
81-102-5.286-45.45734.8851
82-102-15.333-58.72328.0571
83-102-6.286-46.45733.8851
84-102-19.143-59.31421.0280.997
85-102-7.5-46.61131.6111
86-102-8-48.17132.1711
87-102-11.833-52.42128.7541
88-102-13.5-59.52232.5221
89-102-9.4-50.56331.7631
90-102-2.5-48.52243.5221
91-102-11.333-54.72332.0571
92-102-8.5-49.08732.0871
93-102-6.857-47.02833.3141
95-102-4.333-47.72339.0571
96-1020.5-45.52246.5221
97-102-14-67.14239.1421
98-102-2.5-48.52243.5221
99-1024.333-39.05747.7231
104-1038.333-22.34839.0151
107-10315.333-28.05758.7231
109-10319.333-24.05762.7230.999
110-10319.333-24.05762.7230.999
111-1033.583-25.11632.2831
63-103-12.167-40.86616.5331
67-103-4.667-48.05738.7231
68-103-7.667-51.05735.7231
69-103-25.667-69.05717.7230.933
70-103-12.167-46.46922.1361
71-103-1.467-28.90925.9751
72-103-2.167-36.46932.1361
73-103-27.667-71.05715.7230.853
74-103-15.917-44.61612.7830.97
75-103-11.833-38.40414.7370.999
76-103-11.917-40.61616.7831
77-103-4.095-30.02621.8351
78-103-19.667-53.96914.6360.954
79-103-5.5-32.07121.0711
80-103-4.5-31.07122.0711
81-1030.048-25.88325.9781
82-103-10-40.68120.6811
83-103-0.952-26.88324.9781
84-103-13.81-39.7412.1210.983
85-103-2.167-26.42222.0891
86-103-2.667-28.59723.2641
87-103-6.5-33.07120.0711
88-103-8.167-42.46926.1361
89-103-4.067-31.50923.3751
90-1032.833-31.46937.1361
91-103-6-36.68124.6811
92-103-3.167-29.73723.4041
93-103-1.524-27.45424.4071
95-1031-29.68131.6811
96-1035.833-28.46940.1361
97-103-8.667-52.05734.7231
98-1032.833-31.46937.1361
99-1039.667-21.01540.3481
107-1047-36.3950.391
109-10411-32.3954.391
110-10411-32.3954.391
111-104-4.75-33.4523.951
63-104-20.5-49.28.20.645
67-104-13-56.3930.391
68-104-16-59.3927.391
69-104-34-77.399.390.428
70-104-20.5-54.80313.8030.924
71-104-9.8-37.24217.6421
72-104-10.5-44.80323.8031
73-104-36-79.397.390.3
74-104-24.25-52.954.450.263
75-104-20.167-46.7376.4040.504
76-104-20.25-48.958.450.672
77-104-12.429-38.35913.5020.997
78-104-28-62.3036.3030.335
79-104-13.833-40.40412.7370.988
80-104-12.833-39.40413.7370.996
81-104-8.286-34.21617.6451
82-104-18.333-49.01512.3480.925
83-104-9.286-35.21616.6451
84-104-22.143-48.0733.7880.243
85-104-10.5-34.75613.7561
86-104-11-36.9314.931
87-104-14.833-41.40411.7370.967
88-104-16.5-50.80317.8030.997
89-104-12.4-39.84215.0420.999
90-104-5.5-39.80328.8031
91-104-14.333-45.01516.3480.998
92-104-11.5-38.07115.0711
93-104-9.857-35.78816.0731
95-104-7.333-38.01523.3481
96-104-2.5-36.80331.8031
97-104-17-60.3926.391
98-104-5.5-39.80328.8031
99-1041.333-29.34832.0151
109-1074-49.14257.1421
110-1074-49.14257.1421
111-107-11.75-53.76230.2621
63-107-27.5-69.51214.5120.814
67-107-20-73.14233.1421
68-107-23-76.14230.1421
69-107-41-94.14212.1420.465
70-107-27.5-73.52218.5220.925
71-107-16.8-57.96324.3631
72-107-17.5-63.52228.5221
73-107-43-96.14210.1420.354
74-107-31.25-73.26210.7620.552
75-107-27.167-67.75413.4210.777
76-107-27.25-69.26214.7620.829
77-107-19.429-59.620.7430.996
78-107-35-81.02211.0220.499
79-107-20.833-61.42119.7540.99
80-107-19.833-60.42120.7540.996
81-107-15.286-55.45724.8851
82-107-25.333-68.72318.0570.942
83-107-16.286-56.45723.8851
84-107-29.143-69.31411.0280.61
85-107-17.5-56.61121.6110.999
86-107-18-58.17122.1710.999
87-107-21.833-62.42118.7540.98
88-107-23.5-69.52222.5220.991
89-107-19.4-60.56321.7630.998
90-107-12.5-58.52233.5221
91-107-21.333-64.72322.0570.995
92-107-18.5-59.08722.0870.999
93-107-16.857-57.02823.3141
95-107-14.333-57.72329.0571
96-107-9.5-55.52236.5221
97-107-24-77.14229.1420.999
98-107-12.5-58.52233.5221
99-107-5.667-49.05737.7231
110-1090-53.14253.1421
111-109-15.75-57.76226.2621
63-109-31.5-73.51210.5120.533
67-109-24-77.14229.1420.999
68-109-27-80.14226.1420.992
69-109-45-98.1428.1420.259
70-109-31.5-77.52214.5220.735
71-109-20.8-61.96320.3630.992
72-109-21.5-67.52224.5220.998
73-109-47-100.1426.1420.182
74-109-35.25-77.2626.7620.277
75-109-31.167-71.7549.4210.476
76-109-31.25-73.26210.7620.552
77-109-23.429-63.616.7430.943
78-109-39-85.0227.0220.258
79-109-24.833-65.42115.7540.902
80-109-23.833-64.42116.7540.938
81-109-19.286-59.45720.8850.997
82-109-29.333-72.72314.0570.758
83-109-20.286-60.45719.8850.992
84-109-33.143-73.3147.0280.312
85-109-21.5-60.61117.6110.973
86-109-22-62.17118.1710.975
87-109-25.833-66.42114.7540.856
88-109-27.5-73.52218.5220.925
89-109-23.4-64.56317.7630.958
90-109-16.5-62.52229.5221
91-109-25.333-68.72318.0570.942
92-109-22.5-63.08718.0870.97
93-109-20.857-61.02819.3140.988
95-109-18.333-61.72325.0571
96-109-13.5-59.52232.5221
97-109-28-81.14225.1420.985
98-109-16.5-62.52229.5221
99-109-9.667-53.05733.7231
111-110-15.75-57.76226.2621
63-110-31.5-73.51210.5120.533
67-110-24-77.14229.1420.999
68-110-27-80.14226.1420.992
69-110-45-98.1428.1420.259
70-110-31.5-77.52214.5220.735
71-110-20.8-61.96320.3630.992
72-110-21.5-67.52224.5220.998
73-110-47-100.1426.1420.182
74-110-35.25-77.2626.7620.277
75-110-31.167-71.7549.4210.476
76-110-31.25-73.26210.7620.552
77-110-23.429-63.616.7430.943
78-110-39-85.0227.0220.258
79-110-24.833-65.42115.7540.902
80-110-23.833-64.42116.7540.938
81-110-19.286-59.45720.8850.997
82-110-29.333-72.72314.0570.758
83-110-20.286-60.45719.8850.992
84-110-33.143-73.3147.0280.312
85-110-21.5-60.61117.6110.973
86-110-22-62.17118.1710.975
87-110-25.833-66.42114.7540.856
88-110-27.5-73.52218.5220.925
89-110-23.4-64.56317.7630.958
90-110-16.5-62.52229.5221
91-110-25.333-68.72318.0570.942
92-110-22.5-63.08718.0870.97
93-110-20.857-61.02819.3140.988
95-110-18.333-61.72325.0571
96-110-13.5-59.52232.5221
97-110-28-81.14225.1420.985
98-110-16.5-62.52229.5221
99-110-9.667-53.05733.7231
63-111-15.75-42.32110.8210.931
67-111-8.25-50.26233.7621
68-111-11.25-53.26230.7621
69-111-29.25-71.26212.7620.7
70-111-15.75-48.29216.7920.996
71-111-5.05-30.25720.1571
72-111-5.75-38.29226.7921
73-111-31.25-73.26210.7620.552
74-111-19.5-46.0717.0710.583
75-111-15.417-39.6728.8390.858
76-111-15.5-42.07111.0710.943
77-111-7.679-31.23115.8741
78-111-23.25-55.7929.2920.645
79-111-9.083-33.33915.1721
80-111-8.083-32.33916.1721
81-111-3.536-27.08820.0171
82-111-13.583-42.28315.1160.997
83-111-4.536-28.08819.0171
84-111-17.393-40.9456.160.569
85-111-5.75-27.44515.9451
86-111-6.25-29.80217.3021
87-111-10.083-34.33914.1721
88-111-11.75-44.29220.7921
89-111-7.65-32.85717.5571
90-111-0.75-33.29231.7921
91-111-9.583-38.28319.1161
92-111-6.75-31.00617.5061
93-111-5.107-28.6618.4451
95-111-2.583-31.28326.1161
96-1112.25-30.29234.7921
97-111-12.25-54.26229.7621
98-111-0.75-33.29231.7921
99-1116.083-22.61634.7831
67-637.5-34.51249.5121
68-634.5-37.51246.5121
69-63-13.5-55.51228.5121
70-630-32.54232.5421
71-6310.7-14.50735.9071
72-6310-22.54242.5421
73-63-15.5-57.51226.5121
74-63-3.75-30.32122.8211
75-630.333-23.92224.5891
76-630.25-26.32126.8211
77-638.071-15.48131.6241
78-63-7.5-40.04225.0421
79-636.667-17.58930.9221
80-637.667-16.58931.9221
81-6312.214-11.33835.7670.988
82-632.167-26.53330.8661
83-6311.214-12.33834.7670.997
84-63-1.643-25.19521.911
85-6310-11.69531.6950.998
86-639.5-14.05233.0521
87-635.667-18.58929.9221
88-634-28.54236.5421
89-638.1-17.10733.3071
90-6315-17.54247.5420.998
91-636.167-22.53334.8661
92-639-15.25633.2561
93-6310.643-12.9134.1950.999
95-6313.167-15.53341.8660.999
96-6318-14.54250.5420.971
97-633.5-38.51245.5121
98-6315-17.54247.5420.998
99-6321.833-6.86650.5330.498
68-67-3-56.14250.1421
69-67-21-74.14232.1421
70-67-7.5-53.52238.5221
71-673.2-37.96344.3631
72-672.5-43.52248.5221
73-67-23-76.14230.1421
74-67-11.25-53.26230.7621
75-67-7.167-47.75433.4211
76-67-7.25-49.26234.7621
77-670.571-39.640.7431
78-67-15-61.02231.0221
79-67-0.833-41.42139.7541
80-670.167-40.42140.7541
81-674.714-35.45744.8851
82-67-5.333-48.72338.0571
83-673.714-36.45743.8851
84-67-9.143-49.31431.0281
85-672.5-36.61141.6111
86-672-38.17142.1711
87-67-1.833-42.42138.7541
88-67-3.5-49.52242.5221
89-670.6-40.56341.7631
90-677.5-38.52253.5221
91-67-1.333-44.72342.0571
92-671.5-39.08742.0871
93-673.143-37.02843.3141
95-675.667-37.72349.0571
96-6710.5-35.52256.5221
97-67-4-57.14249.1421
98-677.5-38.52253.5221
99-6714.333-29.05757.7231
69-68-18-71.14235.1421
70-68-4.5-50.52241.5221
71-686.2-34.96347.3631
72-685.5-40.52251.5221
73-68-20-73.14233.1421
74-68-8.25-50.26233.7621
75-68-4.167-44.75436.4211
76-68-4.25-46.26237.7621
77-683.571-36.643.7431
78-68-12-58.02234.0221
79-682.167-38.42142.7541
80-683.167-37.42143.7541
81-687.714-32.45747.8851
82-68-2.333-45.72341.0571
83-686.714-33.45746.8851
84-68-6.143-46.31434.0281
85-685.5-33.61144.6111
86-685-35.17145.1711
87-681.167-39.42141.7541
88-68-0.5-46.52245.5221
89-683.6-37.56344.7631
90-6810.5-35.52256.5221
91-681.667-41.72345.0571
92-684.5-36.08745.0871
93-686.143-34.02846.3141
95-688.667-34.72352.0571
96-6813.5-32.52259.5221
97-68-1-54.14252.1421
98-6810.5-35.52256.5221
99-6817.333-26.05760.7231
70-6913.5-32.52259.5221
71-6924.2-16.96365.3630.937
72-6923.5-22.52269.5220.991
73-69-2-55.14251.1421
74-699.75-32.26251.7621
75-6913.833-26.75454.4211
76-6913.75-28.26255.7621
77-6921.571-18.661.7430.981
78-696-40.02252.0221
79-6920.167-20.42160.7540.994
80-6921.167-19.42161.7540.987
81-6925.714-14.45765.8850.848
82-6915.667-27.72359.0571
83-6924.714-15.45764.8850.897
84-6911.857-28.31452.0281
85-6923.5-15.61162.6110.92
86-6923-17.17163.1710.954
87-6919.167-21.42159.7540.998
88-6917.5-28.52263.5221
89-6921.6-19.56362.7630.986
90-6928.5-17.52274.5220.89
91-6919.667-23.72363.0570.999
92-6922.5-18.08763.0870.97
93-6924.143-16.02864.3140.92
95-6926.667-16.72370.0570.898
96-6931.5-14.52277.5220.735
97-6917-36.14270.1421
98-6928.5-17.52274.5220.89
99-6935.333-8.05778.7230.34
71-7010.7-20.73942.1391
72-7010-27.57747.5771
73-70-15.5-61.52230.5221
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76-700.25-32.29232.7921
77-708.071-22.05738.21
78-70-7.5-45.07730.0771
79-706.667-24.01537.3481
80-707.667-23.01538.3481
81-7012.214-17.91442.3431
82-702.167-32.13636.4691
83-7011.214-18.91441.3431
84-70-1.643-31.77128.4861
85-7010-18.738.71
86-709.5-20.62839.6281
87-705.667-25.01536.3481
88-704-33.57741.5771
89-708.1-23.33939.5391
90-7015-22.57752.5771
91-706.167-28.13640.4691
92-709-21.68139.6811
93-7010.643-19.48640.7711
95-7013.167-21.13647.4691
96-7018-19.57755.5770.997
97-703.5-42.52249.5221
98-7015-22.57752.5771
99-7021.833-12.46956.1360.856
72-71-0.7-32.13930.7391
73-71-26.2-67.36314.9630.856
74-71-14.45-39.65710.7570.954
75-71-10.367-33.1212.3870.999
76-71-10.45-35.65714.7571
77-71-2.629-24.63119.3741
78-71-18.2-49.63913.2390.948
79-71-4.033-26.78718.721
80-71-3.033-25.78719.721
81-711.514-20.48823.5171
82-71-8.533-35.97518.9091
83-710.514-21.48822.5171
84-71-12.343-34.3469.660.965
85-71-0.7-20.70219.3021
86-71-1.2-23.20320.8031
87-71-5.033-27.78717.721
88-71-6.7-38.13924.7391
89-71-2.6-26.36621.1661
90-714.3-27.13935.7391
91-71-4.533-31.97522.9091
92-71-1.7-24.45421.0541
93-71-0.057-22.0621.9461
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96-717.3-24.13938.7391
97-71-7.2-48.36333.9631
98-714.3-27.13935.7391
99-7111.133-16.30938.5751
73-72-25.5-71.52220.5220.97
74-72-13.75-46.29218.7921
75-72-9.667-40.34821.0151
76-72-9.75-42.29222.7921
77-72-1.929-32.05728.21
78-72-17.5-55.07720.0770.998
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80-72-2.333-33.01528.3481
81-722.214-27.91432.3431
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83-721.214-28.91431.3431
84-72-11.643-41.77118.4861
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86-72-0.5-30.62829.6281
87-72-4.333-35.01526.3481
88-72-6-43.57731.5771
89-72-1.9-33.33929.5391
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91-72-3.833-38.13630.4691
92-72-1-31.68129.6811
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75-7315.833-24.75456.4211
76-7315.75-26.26257.7621
77-7323.571-16.663.7430.939
78-738-38.02254.0221
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80-7323.167-17.42163.7540.956
81-7327.714-12.45767.8850.719
82-7317.667-25.72361.0571
83-7326.714-13.45766.8850.788
84-7313.857-26.31454.0281
85-7325.5-13.61164.6110.821
86-7325-15.17165.1710.884
87-7321.167-19.42161.7540.987
88-7319.5-26.52265.5221
89-7323.6-17.56364.7630.954
90-7330.5-15.52276.5220.794
91-7321.667-21.72365.0570.994
92-7324.5-16.08765.0870.916
93-7326.143-14.02866.3140.823
95-7328.667-14.72372.0570.799
96-7333.5-12.52279.5220.602
97-7319-34.14272.1421
98-7330.5-15.52276.5220.794
99-7337.333-6.05780.7230.229
75-744.083-20.17228.3391
76-744-22.57130.5711
77-7411.821-11.73135.3740.993
78-74-3.75-36.29228.7921
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80-7411.417-12.83935.6720.998
81-7415.964-7.58839.5170.754
82-745.917-22.78334.6161
83-7414.964-8.58838.5170.858
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87-749.417-14.83933.6721
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91-749.917-18.78338.6161
92-7412.75-11.50637.0060.986
93-7414.393-9.1637.9450.904
95-7416.917-11.78345.6160.935
96-7421.75-10.79254.2920.779
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98-7418.75-13.79251.2920.951
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76-75-0.083-24.33924.1721
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78-75-7.833-38.51522.8481
79-756.333-15.36228.0281
80-757.333-14.36229.0281
81-7511.881-9.02532.7870.958
82-751.833-24.73728.4041
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84-75-1.976-22.88218.931
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86-759.167-11.73930.0720.999
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89-757.767-14.98730.521
90-7514.667-16.01545.3480.997
91-755.833-20.73732.4041
92-758.667-13.02830.3621
93-7510.31-10.59631.2150.995
95-7512.833-13.73739.4040.996
96-7517.667-13.01548.3480.951
97-753.167-37.42143.7541
98-7514.667-16.01545.3480.997
99-7521.5-5.07148.0710.354
77-767.821-15.73131.3741
78-76-7.75-40.29224.7921
79-766.417-17.83930.6721
80-767.417-16.83931.6721
81-7611.964-11.58835.5170.992
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86-769.25-14.30232.8021
87-765.417-18.83929.6721
88-763.75-28.79236.2921
89-767.85-17.35733.0571
90-7614.75-17.79247.2920.999
91-765.917-22.78334.6161
92-768.75-15.50633.0061
93-7610.393-13.1633.9450.999
95-7612.917-15.78341.6160.999
96-7617.75-14.79250.2920.976
97-763.25-38.76245.2621
98-7614.75-17.79247.2920.999
99-7621.583-7.11650.2830.526
78-77-15.571-45.714.5570.989
79-77-1.405-22.31119.5011
80-77-0.405-21.31120.5011
81-774.143-15.94324.2281
82-77-5.905-31.83520.0261
83-773.143-16.94323.2281
84-77-9.714-29.810.3710.996
85-771.929-15.94319.81
86-771.429-18.65721.5141
87-77-2.405-23.31118.5011
88-77-4.071-34.226.0571
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90-776.929-23.237.0571
91-77-1.905-27.83524.0261
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98-776.929-23.237.0571
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79-7814.167-16.51544.8480.998
80-7815.167-15.51545.8480.995
81-7819.714-10.41449.8430.815
82-789.667-24.63643.9691
83-7818.714-11.41448.8430.886
84-785.857-24.27135.9861
85-7817.5-11.246.20.906
86-7817-13.12847.1280.962
87-7813.167-17.51543.8481
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91-7813.667-20.63647.9691
92-7816.5-14.18147.1810.98
93-7818.143-11.98648.2710.918
95-7820.667-13.63654.9690.917
96-7825.5-12.07763.0770.751
97-7811-35.02257.0221
98-7822.5-15.07760.0770.923
99-7829.333-4.96963.6360.24
80-791-20.69522.6951
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96-7911.333-19.34842.0151
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81-804.548-16.35825.4531
82-80-5.5-32.07121.0711
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86-801.833-19.07222.7391
87-80-2-23.69519.6951
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91-80-1.5-28.07125.0711
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82-81-10.048-35.97815.8831
83-81-1-21.08619.0861
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88-81-8.214-38.34321.9141
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90-812.786-27.34332.9141
91-81-6.048-31.97819.8831
92-81-3.214-24.1217.6911
93-81-1.571-21.65718.5141
95-810.952-24.97826.8831
96-815.786-24.34335.9141
97-81-8.714-48.88531.4571
98-812.786-27.34332.9141
99-819.619-16.31135.5491
83-829.048-16.88334.9781
84-82-3.81-29.7422.1211
85-827.833-16.42232.0891
86-827.333-18.59733.2641
87-823.5-23.07130.0711
88-821.833-32.46936.1361
89-825.933-21.50933.3751
90-8212.833-21.46947.1361
91-824-26.68134.6811
92-826.833-19.73733.4041
93-828.476-17.45434.4071
95-8211-19.68141.6811
96-8215.833-18.46950.1360.998
97-821.333-42.05744.7231
98-8212.833-21.46947.1361
99-8219.667-11.01550.3480.846
84-83-12.857-32.9437.2280.848
85-83-1.214-19.08616.6571
86-83-1.714-21.818.3711
87-83-5.548-26.45315.3581
88-83-7.214-37.34322.9141
89-83-3.114-25.11718.8881
90-833.786-26.34333.9141
91-83-5.048-30.97820.8831
92-83-2.214-23.1218.6911
93-83-0.571-20.65719.5141
95-831.952-23.97827.8831
96-836.786-23.34336.9141
97-83-7.714-47.88532.4571
98-833.786-26.34333.9141
99-8310.619-15.31136.5491
85-8411.643-6.22829.5140.822
86-8411.143-8.94331.2280.97
87-847.31-13.59628.2151
88-845.643-24.48635.7711
89-849.743-12.2631.7460.999
90-8416.643-13.48646.7710.971
91-847.81-18.12133.741
92-8410.643-10.26331.5490.991
93-8412.286-7.832.3710.903
95-8414.81-11.12140.740.956
96-8419.643-10.48649.7710.821
97-845.143-35.02845.3141
98-8416.643-13.48646.7710.971
99-8423.476-2.45449.4070.147
86-85-0.5-18.37117.3711
87-85-4.333-23.12214.4551
88-85-6-34.722.71
89-85-1.9-21.90218.1021
90-855-23.733.71
91-85-3.833-28.08920.4221
92-85-1-19.78817.7881
93-850.643-17.22818.5141
95-853.167-21.08927.4221
96-858-20.736.71
97-85-6.5-45.61132.6111
98-855-23.733.71
99-8511.833-12.42236.0890.996
87-86-3.833-24.73917.0721
88-86-5.5-35.62824.6281
89-86-1.4-23.40320.6031
90-865.5-24.62835.6281
91-86-3.333-29.26422.5971
92-86-0.5-21.40620.4061
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95-863.667-22.26429.5971
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99-8612.333-13.59738.2640.997
88-87-1.667-32.34829.0151
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90-879.333-21.34840.0151
91-870.5-26.07127.0711
92-873.333-18.36225.0281
93-874.976-15.9325.8821
95-877.5-19.07134.0711
96-8712.333-18.34843.0151
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99-8716.167-10.40442.7370.908
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92-885-25.68135.6811
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90-896.9-24.53938.3391
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93-892.543-19.4624.5461
95-895.067-22.37532.5091
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98-896.9-24.53938.3391
99-8913.733-13.70941.1750.993
91-90-8.833-43.13625.4691
92-90-6-36.68124.6811
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92-912.833-23.73729.4041
93-914.476-21.45430.4071
95-917-23.68137.6811
96-9111.833-22.46946.1361
97-91-2.667-46.05740.7231
98-918.833-25.46943.1361
99-9115.667-15.01546.3480.991
93-921.643-19.26322.5491
95-924.167-22.40430.7371
96-929-21.68139.6811
97-92-5.5-46.08735.0871
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99-9212.833-13.73739.4040.996
95-932.524-23.40728.4541
96-937.357-22.77137.4861
97-93-7.143-47.31433.0281
98-934.357-25.77134.4861
99-9311.19-14.7437.1211
96-954.833-29.46939.1361
97-95-9.667-53.05733.7231
98-951.833-32.46936.1361
99-958.667-22.01539.3481
97-96-14.5-60.52231.5221
98-96-3-40.57734.5771
99-963.833-30.46938.1361
98-9711.5-34.52257.5221
99-9718.333-25.05761.7231
99-986.833-27.46941.1361


Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group400.6780.919
112
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw/39msz1260805783.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw/39msz1260805783.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw/409i71260805783.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12608059164phsfg8wv5ztmjw/409i71260805783.ps (open in new window)


 
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')
 





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