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My Compendium Week 8

*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: One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computation: Sat, 27 Nov 2010 18:04:29 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/27/t1290881154w5jx5fkd6cav2vm.htm/, Retrieved Sat, 27 Nov 2010 19:05:57 +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/2010/Nov/27/t1290881154w5jx5fkd6cav2vm.htm/},
    year = {2010},
}
@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 = {2010},
    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:
Exercise 3
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1 88 2 94 2 90 2 73 1 68 2 80 2 86 3 86 3 91 1 79 3 96 2 92 3 72 2 96 1 70 2 86 2 87 3 88 2 79 1 90 2 95 2 85 2 90 3 115 3 84 2 79 1 94 2 97 2 86 3 111 2 87 3 98 3 87 1 68 1 88 3 82 3 111 2 75 1 94 1 95 1 80 2 95 2 68 1 94 1 88 3 84 1 101 2 98 3 78 2 109 2 102 1 81 3 97 3 75 2 97 1 101 3 101 2 95 2 95 2 95 1 90 2 107 3 92 2 86 1 70 3 95 1 96 2 91 3 87 1 92 3 97 2 102 1 91 2 68 1 88 2 97 2 90 3 101 3 94 3 101 3 109 2 100 2 103 2 94 3 97 1 85 1 75 2 77 1 87 3 78 2 108 2 97 2 106 2 107 2 95 3 107 2 115 2 101 3 85 3 90 3 115 2 95 2 97 1 112 3 97 2 77 2 90 2 94 2 103 2 77 1 98 2 90 2 111 1 77 1 88 2 75 3 92 1 78 3 106 1 80 2 87 2 92 1 86 3 85 2 90 3 101 2 94 2 86 3 86 2 90 3 75 2 86 1 91 2 97 1 91 1 70 1 98 1 96 2 95 2 100 2 95 1 97 3 97 3 92 3 115 2 88 1 87 2 100 3 98 2 102 1 96
 
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 time20 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


ANOVA Model
MWARM30 ~ WISCRY7V
means20.286000.50.33300.50.667-10.75-0.5-1100.2-0.250.333-0.333-0.667-1110.250.1110-0.571-0.1-0.40.333-0.250-0.40.3330


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
WISCRY7V3424.7580.7281.4760.066
Residuals11657.2150.493


Tukey Honest Significant Difference Comparisons
difflwruprp adj
101-1000.286-1.6172.1881
102-1000-2.2512.2511
103-1000-2.5172.5171
106-1000.5-2.0173.0171
107-1000.333-1.9182.5841
108-1000-3.1843.1841
109-1000.5-2.0173.0171
111-1000.667-1.5842.9181
112-100-1-4.1842.1841
115-1000.75-1.3562.8561
68-100-0.5-2.6061.6061
70-100-1-3.2511.2510.998
72-1001-2.1844.1841
73-1000-3.1843.1841
75-1000.2-1.8132.2131
77-100-0.25-2.3561.8561
78-1000.333-1.9182.5841
79-100-0.333-2.5841.9181
80-100-0.667-2.9181.5841
81-100-1-4.1842.1841
82-1001-2.1844.1841
84-1001-1.5173.5171
85-1000.25-1.8562.3561
86-1000.111-1.7271.9491
87-1000-1.9031.9031
88-100-0.571-2.4741.3311
90-100-0.1-1.9151.7151
91-100-0.4-2.4131.6131
92-1000.333-1.6162.2831
94-100-0.25-2.1171.6171
95-1000-1.7961.7961
96-100-0.4-2.4131.6131
97-1000.333-1.4462.1131
98-1000-2.0132.0131
102-101-0.286-2.1881.6171
103-101-0.286-2.4961.9251
106-1010.214-1.9962.4251
107-1010.048-1.8551.951
108-101-0.286-3.2332.6621
109-1010.214-1.9962.4251
111-1010.381-1.5222.2831
112-101-1.286-4.2331.6620.999
115-1010.464-1.2642.1921
68-101-0.786-2.5140.9420.998
70-101-1.286-3.1880.6170.733
72-1010.714-2.2333.6621
73-101-0.286-3.2332.6621
75-101-0.086-1.71.5291
77-101-0.536-2.2641.1921
78-1010.048-1.8551.951
79-101-0.619-2.5221.2831
80-101-0.952-2.8550.950.989
81-101-1.286-4.2331.6620.999
82-1010.714-2.2333.6621
84-1010.714-1.4962.9251
85-101-0.036-1.7641.6921
86-101-0.175-1.5641.2151
87-101-0.286-1.7591.1881
88-101-0.857-2.3310.6170.93
90-101-0.386-1.7440.9731
91-101-0.686-2.30.9290.999
92-1010.048-1.4861.5811
94-101-0.536-1.9630.8911
95-101-0.286-1.6191.0471
96-101-0.686-2.30.9290.999
97-1010.048-1.2641.3591
98-101-0.286-1.91.3291
103-1020-2.5172.5171
106-1020.5-2.0173.0171
107-1020.333-1.9182.5841
108-1020-3.1843.1841
109-1020.5-2.0173.0171
111-1020.667-1.5842.9181
112-102-1-4.1842.1841
115-1020.75-1.3562.8561
68-102-0.5-2.6061.6061
70-102-1-3.2511.2510.998
72-1021-2.1844.1841
73-1020-3.1843.1841
75-1020.2-1.8132.2131
77-102-0.25-2.3561.8561
78-1020.333-1.9182.5841
79-102-0.333-2.5841.9181
80-102-0.667-2.9181.5841
81-102-1-4.1842.1841
82-1021-2.1844.1841
84-1021-1.5173.5171
85-1020.25-1.8562.3561
86-1020.111-1.7271.9491
87-1020-1.9031.9031
88-102-0.571-2.4741.3311
90-102-0.1-1.9151.7151
91-102-0.4-2.4131.6131
92-1020.333-1.6162.2831
94-102-0.25-2.1171.6171
95-1020-1.7961.7961
96-102-0.4-2.4131.6131
97-1020.333-1.4462.1131
98-1020-2.0132.0131
106-1030.5-2.2573.2571
107-1030.333-2.1832.851
108-1030-3.3773.3771
109-1030.5-2.2573.2571
111-1030.667-1.853.1831
112-103-1-4.3772.3771
115-1030.75-1.6383.1381
68-103-0.5-2.8881.8881
70-103-1-3.5171.5171
72-1031-2.3774.3771
73-1030-3.3773.3771
75-1030.2-2.1072.5071
77-103-0.25-2.6382.1381
78-1030.333-2.1832.851
79-103-0.333-2.852.1831
80-103-0.667-3.1831.851
81-103-1-4.3772.3771
82-1031-2.3774.3771
84-1031-1.7573.7571
85-1030.25-2.1382.6381
86-1030.111-2.0442.2661
87-1030-2.2112.2111
88-103-0.571-2.7821.6391
90-103-0.1-2.2362.0361
91-103-0.4-2.7071.9071
92-1030.333-1.9182.5841
94-103-0.25-2.431.931
95-1030-2.1192.1191
96-103-0.4-2.7071.9071
97-1030.333-1.7722.4391
98-1030-2.3072.3071
107-106-0.167-2.6832.351
108-106-0.5-3.8772.8771
109-1060-2.7572.7571
111-1060.167-2.352.6831
112-106-1.5-4.8771.8770.998
115-1060.25-2.1382.6381
68-106-1-3.3881.3880.999
70-106-1.5-4.0171.0170.909
72-1060.5-2.8773.8771
73-106-0.5-3.8772.8771
75-106-0.3-2.6072.0071
77-106-0.75-3.1381.6381
78-106-0.167-2.6832.351
79-106-0.833-3.351.6831
80-106-1.167-3.6831.350.997
81-106-1.5-4.8771.8770.998
82-1060.5-2.8773.8771
84-1060.5-2.2573.2571
85-106-0.25-2.6382.1381
86-106-0.389-2.5441.7661
87-106-0.5-2.7111.7111
88-106-1.071-3.2821.1390.994
90-106-0.6-2.7361.5361
91-106-0.9-3.2071.4071
92-106-0.167-2.4182.0841
94-106-0.75-2.931.431
95-106-0.5-2.6191.6191
96-106-0.9-3.2071.4071
97-106-0.167-2.2721.9391
98-106-0.5-2.8071.8071
108-107-0.333-3.5172.851
109-1070.167-2.352.6831
111-1070.333-1.9182.5841
112-107-1.333-4.5171.850.999
115-1070.417-1.6892.5221
68-107-0.833-2.9391.2721
70-107-1.333-3.5840.9180.915
72-1070.667-2.5173.851
73-107-0.333-3.5172.851
75-107-0.133-2.1471.881
77-107-0.583-2.6891.5221
78-1070-2.2512.2511
79-107-0.667-2.9181.5841
80-107-1-3.2511.2510.998
81-107-1.333-4.5171.850.999
82-1070.667-2.5173.851
84-1070.667-1.853.1831
85-107-0.083-2.1892.0221
86-107-0.222-2.061.6161
87-107-0.333-2.2361.5691
88-107-0.905-2.8070.9980.995
90-107-0.433-2.2481.3821
91-107-0.733-2.7471.281
92-1070-1.9491.9491
94-107-0.583-2.451.2831
95-107-0.333-2.1291.4621
96-107-0.733-2.7471.281
97-1070-1.781.781
98-107-0.333-2.3471.681
109-1080.5-2.8773.8771
111-1080.667-2.5173.851
112-108-1-4.8992.8991
115-1080.75-2.3323.8321
68-108-0.5-3.5822.5821
70-108-1-4.1842.1841
72-1081-2.8994.8991
73-1080-3.8993.8991
75-1080.2-2.823.221
77-108-0.25-3.3322.8321
78-1080.333-2.853.5171
79-108-0.333-3.5172.851
80-108-0.667-3.852.5171
81-108-1-4.8992.8991
82-1081-2.8994.8991
84-1081-2.3774.3771
85-1080.25-2.8323.3321
86-1080.111-2.7953.0171
87-1080-2.9472.9471
88-108-0.571-3.5192.3761
90-108-0.1-2.9922.7921
91-108-0.4-3.422.621
92-1080.333-2.6453.3111
94-108-0.25-3.1742.6741
95-1080-2.882.881
96-108-0.4-3.422.621
97-1080.333-2.5363.2031
98-1080-3.023.021
111-1090.167-2.352.6831
112-109-1.5-4.8771.8770.998
115-1090.25-2.1382.6381
68-109-1-3.3881.3880.999
70-109-1.5-4.0171.0170.909
72-1090.5-2.8773.8771
73-109-0.5-3.8772.8771
75-109-0.3-2.6072.0071
77-109-0.75-3.1381.6381
78-109-0.167-2.6832.351
79-109-0.833-3.351.6831
80-109-1.167-3.6831.350.997
81-109-1.5-4.8771.8770.998
82-1090.5-2.8773.8771
84-1090.5-2.2573.2571
85-109-0.25-2.6382.1381
86-109-0.389-2.5441.7661
87-109-0.5-2.7111.7111
88-109-1.071-3.2821.1390.994
90-109-0.6-2.7361.5361
91-109-0.9-3.2071.4071
92-109-0.167-2.4182.0841
94-109-0.75-2.931.431
95-109-0.5-2.6191.6191
96-109-0.9-3.2071.4071
97-109-0.167-2.2721.9391
98-109-0.5-2.8071.8071
112-111-1.667-4.851.5170.98
115-1110.083-2.0222.1891
68-111-1.167-3.2720.9390.959
70-111-1.667-3.9180.5840.539
72-1110.333-2.853.5171
73-111-0.667-3.852.5171
75-111-0.467-2.481.5471
77-111-0.917-3.0221.1890.999
78-111-0.333-2.5841.9181
79-111-1-3.2511.2510.998
80-111-1.333-3.5840.9180.915
81-111-1.667-4.851.5170.98
82-1110.333-2.853.5171
84-1110.333-2.1832.851
85-111-0.417-2.5221.6891
86-111-0.556-2.3941.2821
87-111-0.667-2.5691.2361
88-111-1.238-3.1410.6640.799
90-111-0.767-2.5821.0480.999
91-111-1.067-3.080.9470.977
92-111-0.333-2.2831.6161
94-111-0.917-2.7830.950.992
95-111-0.667-2.4621.1291
96-111-1.067-3.080.9470.977
97-111-0.333-2.1131.4461
98-111-0.667-2.681.3471
115-1121.75-1.3324.8320.946
68-1120.5-2.5823.5821
70-1120-3.1843.1841
72-1122-1.8995.8990.985
73-1121-2.8994.8991
75-1121.2-1.824.221
77-1120.75-2.3323.8321
78-1121.333-1.854.5170.999
79-1120.667-2.5173.851
80-1120.333-2.853.5171
81-1120-3.8993.8991
82-1122-1.8995.8990.985
84-1122-1.3775.3770.915
85-1121.25-1.8324.3321
86-1121.111-1.7954.0171
87-1121-1.9473.9471
88-1120.429-2.5193.3761
90-1120.9-1.9923.7921
91-1120.6-2.423.621
92-1121.333-1.6454.3110.998
94-1120.75-2.1743.6741
95-1121-1.883.881
96-1120.6-2.423.621
97-1121.333-1.5364.2030.997
98-1121-2.024.021
68-115-1.25-3.1990.6990.822
70-115-1.75-3.8560.3560.285
72-1150.25-2.8323.3321
73-115-0.75-3.8322.3321
75-115-0.55-2.3991.2991
77-115-1-2.9490.9490.985
78-115-0.417-2.5221.6891
79-115-1.083-3.1891.0220.984
80-115-1.417-3.5220.6890.741
81-115-1.75-4.8321.3320.946
82-1150.25-2.8323.3321
84-1150.25-2.1382.6381
85-115-0.5-2.4491.4491
86-115-0.639-2.2961.0181
87-115-0.75-2.4780.9780.999
88-115-1.321-3.0490.4070.465
90-115-0.85-2.4810.7810.981
91-115-1.15-2.9990.6990.863
92-115-0.417-2.1961.3631
94-115-1-2.6880.6880.915
95-115-0.75-2.360.860.997
96-115-1.15-2.9990.6990.863
97-115-0.417-2.0081.1751
98-115-0.75-2.5991.0991
70-68-0.5-2.6061.6061
72-681.5-1.5824.5820.993
73-680.5-2.5823.5821
75-680.7-1.1492.5491
77-680.25-1.6992.1991
78-680.833-1.2722.9391
79-680.167-1.9392.2721
80-68-0.167-2.2721.9391
81-68-0.5-3.5822.5821
82-681.5-1.5824.5820.993
84-681.5-0.8883.8880.85
85-680.75-1.1992.6991
86-680.611-1.0462.2681
87-680.5-1.2282.2281
88-68-0.071-1.7991.6571
90-680.4-1.2312.0311
91-680.1-1.7491.9491
92-680.833-0.9462.6130.996
94-680.25-1.4381.9381
95-680.5-1.112.111
96-680.1-1.7491.9491
97-680.833-0.7582.4250.98
98-680.5-1.3492.3491
72-702-1.1845.1840.85
73-701-2.1844.1841
75-701.2-0.8133.2130.909
77-700.75-1.3562.8561
78-701.333-0.9183.5840.915
79-700.667-1.5842.9181
80-700.333-1.9182.5841
81-700-3.1843.1841
82-702-1.1845.1840.85
84-702-0.5174.5170.379
85-701.25-0.8563.3560.913
86-701.111-0.7272.9490.895
87-701-0.9032.9030.979
88-700.429-1.4742.3311
90-700.9-0.9152.7150.991
91-700.6-1.4132.6131
92-701.333-0.6163.2830.71
94-700.75-1.1172.6171
95-701-0.7962.7960.957
96-700.6-1.4132.6131
97-701.333-0.4463.1130.512
98-701-1.0133.0130.991
73-72-1-4.8992.8991
75-72-0.8-3.822.221
77-72-1.25-4.3321.8321
78-72-0.667-3.852.5171
79-72-1.333-4.5171.850.999
80-72-1.667-4.851.5170.98
81-72-2-5.8991.8990.985
82-720-3.8993.8991
84-720-3.3773.3771
85-72-0.75-3.8322.3321
86-72-0.889-3.7952.0171
87-72-1-3.9471.9471
88-72-1.571-4.5191.3760.975
90-72-1.1-3.9921.7921
91-72-1.4-4.421.620.997
92-72-0.667-3.6452.3111
94-72-1.25-4.1741.6740.999
95-72-1-3.881.881
96-72-1.4-4.421.620.997
97-72-0.667-3.5362.2031
98-72-1-4.022.021
75-730.2-2.823.221
77-73-0.25-3.3322.8321
78-730.333-2.853.5171
79-73-0.333-3.5172.851
80-73-0.667-3.852.5171
81-73-1-4.8992.8991
82-731-2.8994.8991
84-731-2.3774.3771
85-730.25-2.8323.3321
86-730.111-2.7953.0171
87-730-2.9472.9471
88-73-0.571-3.5192.3761
90-73-0.1-2.9922.7921
91-73-0.4-3.422.621
92-730.333-2.6453.3111
94-73-0.25-3.1742.6741
95-730-2.882.881
96-73-0.4-3.422.621
97-730.333-2.5363.2031
98-730-3.023.021
77-75-0.45-2.2991.3991
78-750.133-1.882.1471
79-75-0.533-2.5471.481
80-75-0.867-2.881.1470.999
81-75-1.2-4.221.821
82-750.8-2.223.821
84-750.8-1.5073.1071
85-750.05-1.7991.8991
86-75-0.089-1.6271.4491
87-75-0.2-1.8141.4141
88-75-0.771-2.3860.8430.995
90-75-0.3-1.811.211
91-75-0.6-2.3441.1441
92-750.133-1.5361.8031
94-75-0.45-2.0221.1221
95-75-0.2-1.6871.2871
96-75-0.6-2.3441.1441
97-750.133-1.3341.6011
98-75-0.2-1.9441.5441
78-770.583-1.5222.6891
79-77-0.083-2.1892.0221
80-77-0.417-2.5221.6891
81-77-0.75-3.8322.3321
82-771.25-1.8324.3321
84-771.25-1.1383.6380.98
85-770.5-1.4492.4491
86-770.361-1.2962.0181
87-770.25-1.4781.9781
88-77-0.321-2.0491.4071
90-770.15-1.4811.7811
91-77-0.15-1.9991.6991
92-770.583-1.1962.3631
94-770-1.6881.6881
95-770.25-1.361.861
96-77-0.15-1.9991.6991
97-770.583-1.0082.1751
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79-78-0.667-2.9181.5841
80-78-1-3.2511.2510.998
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85-78-0.083-2.1892.0221
86-78-0.222-2.061.6161
87-78-0.333-2.2361.5691
88-78-0.905-2.8070.9980.995
90-78-0.433-2.2481.3821
91-78-0.733-2.7471.281
92-780-1.9491.9491
94-78-0.583-2.451.2831
95-78-0.333-2.1291.4621
96-78-0.733-2.7471.281
97-780-1.781.781
98-78-0.333-2.3471.681
80-79-0.333-2.5841.9181
81-79-0.667-3.852.5171
82-791.333-1.854.5170.999
84-791.333-1.1833.850.977
85-790.583-1.5222.6891
86-790.444-1.3942.2821
87-790.333-1.5692.2361
88-79-0.238-2.1411.6641
90-790.233-1.5822.0481
91-79-0.067-2.081.9471
92-790.667-1.2832.6161
94-790.083-1.7831.951
95-790.333-1.4622.1291
96-79-0.067-2.081.9471
97-790.667-1.1132.4461
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81-80-0.333-3.5172.851
82-801.667-1.5174.850.98
84-801.667-0.854.1830.77
85-800.917-1.1893.0220.999
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87-800.667-1.2362.5691
88-800.095-1.8071.9981
90-800.567-1.2482.3821
91-800.267-1.7472.281
92-801-0.9492.9490.985
94-800.417-1.452.2831
95-800.667-1.1292.4621
96-800.267-1.7472.281
97-801-0.782.780.952
98-800.667-1.3472.681
82-812-1.8995.8990.985
84-812-1.3775.3770.915
85-811.25-1.8324.3321
86-811.111-1.7954.0171
87-811-1.9473.9471
88-810.429-2.5193.3761
90-810.9-1.9923.7921
91-810.6-2.423.621
92-811.333-1.6454.3110.998
94-810.75-2.1743.6741
95-811-1.883.881
96-810.6-2.423.621
97-811.333-1.5364.2030.997
98-811-2.024.021
84-820-3.3773.3771
85-82-0.75-3.8322.3321
86-82-0.889-3.7952.0171
87-82-1-3.9471.9471
88-82-1.571-4.5191.3760.975
90-82-1.1-3.9921.7921
91-82-1.4-4.421.620.997
92-82-0.667-3.6452.3111
94-82-1.25-4.1741.6740.999
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96-82-1.4-4.421.620.997
97-82-0.667-3.5362.2031
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85-84-0.75-3.1381.6381
86-84-0.889-3.0441.2661
87-84-1-3.2111.2110.998
88-84-1.571-3.7820.6390.63
90-84-1.1-3.2361.0360.984
91-84-1.4-3.7070.9070.891
92-84-0.667-2.9181.5841
94-84-1.25-3.430.930.94
95-84-1-3.1191.1190.996
96-84-1.4-3.7070.9070.891
97-84-0.667-2.7721.4391
98-84-1-3.3071.3070.999
86-85-0.139-1.7961.5181
87-85-0.25-1.9781.4781
88-85-0.821-2.5490.9070.995
90-85-0.35-1.9811.2811
91-85-0.65-2.4991.1991
92-850.083-1.6961.8631
94-85-0.5-2.1881.1881
95-85-0.25-1.861.361
96-85-0.65-2.4991.1991
97-850.083-1.5081.6751
98-85-0.25-2.0991.5991
87-86-0.111-1.5011.2781
88-86-0.683-2.0720.7070.992
90-86-0.211-1.4781.0561
91-86-0.511-2.0491.0271
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96-86-0.511-2.0491.0271
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90-87-0.1-1.4591.2591
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92-870.333-1.2011.8671
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96-87-0.4-2.0141.2141
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92-880.905-0.6292.4390.918
94-880.321-1.1051.7481
95-880.571-0.7621.9040.999
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97-880.905-0.4062.2160.692
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98-960.4-1.3442.1441
98-97-0.333-1.8011.1341


Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group340.6780.904
116
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/27/t1290881154w5jx5fkd6cav2vm/3zjxn1290881048.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/27/t1290881154w5jx5fkd6cav2vm/3zjxn1290881048.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/27/t1290881154w5jx5fkd6cav2vm/4zjxn1290881048.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/27/t1290881154w5jx5fkd6cav2vm/4zjxn1290881048.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()
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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Software written by Ed van Stee & Patrick Wessa


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