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*Unverified author*
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: Thu, 25 Nov 2010 12:04:32 +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/25/t12906867352pul25n3qijo0f8.htm/, Retrieved Thu, 25 Nov 2010 13:05:36 +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/25/t12906867352pul25n3qijo0f8.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1 36 88 3 56 94 3 48 90 3 32 73 1 44 68 2 39 80 3 34 86 3 41 86 2 50 91 1 39 79 1 62 96 3 52 92 3 37 72 3 50 96 1 41 70 3 55 86 3 41 87 3 56 88 2 39 79 2 52 90 1 46 95 1 44 85 3 41 90 1 50 115 1 50 84 3 44 79 1 52 94 2 54 97 3 44 86 2 52 111 2 37 87 3 52 98 1 50 87 3 36 68 3 50 88 1 52 82 2 55 111 1 31 75 1 36 94 2 49 95 1 42 80 1 37 95 3 41 68 2 30 94 2 52 88 1 30 84 1 44 101 1 66 98 2 48 78 3 43 109 3 57 102 3 46 81 3 54 97 2 48 75 2 48 97 2 52 3 62 101 3 58 101 2 58 95 2 62 95 3 46 95 2 34 90 3 66 107 3 52 92 2 55 86 2 55 70 3 57 95 3 56 96 2 55 91 1 56 87 2 54 92 2 55 97 2 46 102 2 52 91 3 32 68 2 44 88 3 46 97 1 59 90 3 46 101 3 46 94 1 54 101 1 66 109 2 56 100 1 59 103 3 57 94 1 52 97 3 48 85 2 44 75 3 41 77 1 50 87 1 48 78 2 48 108 3 59 97 1 34 105 3 46 106 1 54 107 2 55 95 2 54 107 3 59 115 3 44 101 1 54 85 3 52 90 3 66 115 3 44 95 2 57 97 3 39 112 3 60 97 3 45 77 3 41 90 1 50 94 3 39 103 1 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 time38 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


ANOVA Model
MOMAGE ~ MC30VRB
means57.333-5-6.333-8.333-23.333-9.3330.667-9.3338.667-7.833-18.3334-55.833-56.333-54.333-54.333-55.667-55.333-55.667-54.733-56.333-54.333-55.533-55.333-55.083-55.333-55.5-55.333-54.833-54.833-54.333-54.333-56.333-56.333-25.333-10.333-18-13.583-18.333-18.333-11.333-9.333-9.583-14.667-12.476-11.083-6.333-5.333-5.083-2-3.444-2.667


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MC30VRB5183782.3381642.79145.9620
Residuals1023645.74635.743


Tukey Honest Significant Difference Comparisons
difflwruprp adj
101-100-5-22.5112.511
102-100-6.333-28.93816.2721
103-100-8.333-30.93814.2721
105-100-23.333-51.9275.260.353
106-100-9.333-31.93813.2721
107-1000.667-19.55220.8851
108-100-9.333-37.92719.261
109-1008.667-19.92737.261
111-100-7.833-30.43814.7721
112-100-18.333-46.92710.260.874
115-1004-16.21824.2181
30-100-55.833-78.438-33.2280
31-100-56.333-84.927-27.740
32-100-54.333-82.927-25.740
34-100-54.333-82.927-25.740
36-100-55.667-75.885-35.4480
37-100-55.333-75.552-35.1150
39-100-55.667-75.885-35.4480
41-100-54.733-72.817-36.6490
42-100-56.333-84.927-27.740
43-100-54.333-82.927-25.740
44-100-55.533-73.617-37.4490
46-100-55.333-77.938-32.7280
48-100-55.083-73.996-36.1710
49-100-55.333-83.927-26.740
50-100-55.5-73.01-37.990
52-100-55.333-72.098-38.5690
54-100-54.833-77.438-32.2280
55-100-54.833-77.438-32.2280
56-100-54.333-76.938-31.7280
57-100-54.333-82.927-25.740
62-100-56.333-84.927-27.740
66-100-56.333-84.927-27.740
68-100-25.333-53.9273.260.187
70-100-10.333-32.93812.2720.999
75-100-18-38.2182.2180.179
77-100-13.583-32.4965.3290.666
78-100-18.333-40.9384.2720.368
80-100-18.333-46.92710.260.874
85-100-11.333-31.5528.8850.977
86-100-9.333-27.4178.7510.994
87-100-9.583-28.4969.3290.996
88-100-14.667-34.8855.5520.642
90-100-12.476-29.5644.6120.627
91-100-11.083-29.9967.8290.957
92-100-6.333-24.41711.7511
94-100-5.333-24.24613.5791
95-100-5.083-21.84811.6811
96-100-2-22.21818.2181
97-100-3.444-19.95313.0641
98-100-2.667-22.88517.5521
102-101-1.333-21.55218.8851
103-101-3.333-23.55216.8851
105-101-18.333-45.088.4130.765
106-101-4.333-24.55215.8851
107-1015.667-11.84323.1761
108-101-4.333-31.0822.4131
109-10113.667-13.0840.4130.995
111-101-2.833-23.05217.3851
112-101-13.333-40.0813.4130.997
115-1019-8.5126.510.995
30-101-50.833-71.052-30.6150
31-101-51.333-78.08-24.5870
32-101-49.333-76.08-22.5870
34-101-49.333-76.08-22.5870
36-101-50.667-68.176-33.1570
37-101-50.333-67.843-32.8240
39-101-50.667-68.176-33.1570
41-101-49.733-64.728-34.7390
42-101-51.333-78.08-24.5870
43-101-49.333-76.08-22.5870
44-101-50.533-65.528-35.5390
46-101-50.333-70.552-30.1150
48-101-50.083-66.067-34.0990
49-101-50.333-77.08-23.5870
50-101-50.5-64.797-36.2030
52-101-50.333-63.707-36.960
54-101-49.833-70.052-29.6150
55-101-49.833-70.052-29.6150
56-101-49.333-69.552-29.1150
57-101-49.333-76.08-22.5870
62-101-51.333-78.08-24.5870
66-101-51.333-78.08-24.5870
68-101-20.333-47.086.4130.528
70-101-5.333-25.55214.8851
75-101-13-30.514.510.586
77-101-8.583-24.5677.4010.988
78-101-13.333-33.5526.8850.833
80-101-13.333-40.0813.4130.997
85-101-6.333-23.84311.1761
86-101-4.333-19.32810.6611
87-101-4.583-20.56711.4011
88-101-9.667-27.1767.8430.982
90-101-7.476-21.2536.30.986
91-101-6.083-22.0679.9011
92-101-1.333-16.32813.6611
94-101-0.333-16.31715.6511
95-101-0.083-13.45713.291
96-1013-14.5120.511
97-1011.556-11.49514.6071
98-1012.333-15.17619.8431
103-102-2-26.76222.7621
105-102-17-47.32813.3280.977
106-102-3-27.76221.7621
107-1027-15.60529.6051
108-102-3-33.32827.3281
109-10215-15.32845.3280.997
111-102-1.5-26.26223.2621
112-102-12-42.32818.3281
115-10210.333-12.27232.9380.999
30-102-49.5-74.262-24.7380
31-102-50-80.328-19.6720
32-102-48-78.328-17.6720
34-102-48-78.328-17.6720
36-102-49.333-71.938-26.7280
37-102-49-71.605-26.3950
39-102-49.333-71.938-26.7280
41-102-48.4-69.118-27.6820
42-102-50-80.328-19.6720
43-102-48-78.328-17.6720
44-102-49.2-69.918-28.4820
46-102-49-73.762-24.2380
48-102-48.75-70.195-27.3050
49-102-49-79.328-18.6720
50-102-49.167-69.385-28.9480
52-102-49-68.576-29.4240
54-102-48.5-73.262-23.7380
55-102-48.5-73.262-23.7380
56-102-48-72.762-23.2380
57-102-48-78.328-17.6720
62-102-50-80.328-19.6720
66-102-50-80.328-19.6720
68-102-19-49.32811.3280.902
70-102-4-28.76220.7621
75-102-11.667-34.27210.9380.994
77-102-7.25-28.69514.1951
78-102-12-36.76212.7620.998
80-102-12-42.32818.3281
85-102-5-27.60517.6051
86-102-3-23.71817.7181
87-102-3.25-24.69518.1951
88-102-8.333-30.93814.2721
90-102-6.143-25.99713.7111
91-102-4.75-26.19516.6951
92-1020-20.71820.7181
94-1021-20.44522.4451
95-1021.25-18.32620.8261
96-1024.333-18.27226.9381
97-1022.889-16.46922.2471
98-1023.667-18.93826.2721
105-103-15-45.32815.3280.997
106-103-1-25.76223.7621
107-1039-13.60531.6051
108-103-1-31.32829.3281
109-10317-13.32847.3280.977
111-1030.5-24.26225.2621
112-103-10-40.32820.3281
115-10312.333-10.27234.9380.985
30-103-47.5-72.262-22.7380
31-103-48-78.328-17.6720
32-103-46-76.328-15.6720
34-103-46-76.328-15.6720
36-103-47.333-69.938-24.7280
37-103-47-69.605-24.3950
39-103-47.333-69.938-24.7280
41-103-46.4-67.118-25.6820
42-103-48-78.328-17.6720
43-103-46-76.328-15.6720
44-103-47.2-67.918-26.4820
46-103-47-71.762-22.2380
48-103-46.75-68.195-25.3050
49-103-47-77.328-16.6720
50-103-47.167-67.385-26.9480
52-103-47-66.576-27.4240
54-103-46.5-71.262-21.7380
55-103-46.5-71.262-21.7380
56-103-46-70.762-21.2380
57-103-46-76.328-15.6720
62-103-48-78.328-17.6720
66-103-48-78.328-17.6720
68-103-17-47.32813.3280.977
70-103-2-26.76222.7621
75-103-9.667-32.27212.9381
77-103-5.25-26.69516.1951
78-103-10-34.76214.7621
80-103-10-40.32820.3281
85-103-3-25.60519.6051
86-103-1-21.71819.7181
87-103-1.25-22.69520.1951
88-103-6.333-28.93816.2721
90-103-4.143-23.99715.7111
91-103-2.75-24.19518.6951
92-1032-18.71822.7181
94-1033-18.44524.4451
95-1033.25-16.32622.8261
96-1036.333-16.27228.9381
97-1034.889-14.46924.2471
98-1035.667-16.93828.2721
106-10514-16.32844.3280.999
107-10524-4.59352.5930.29
108-10514-21.01949.0191
109-10532-3.01967.0190.139
111-10515.5-14.82845.8280.995
112-1055-30.01940.0191
115-10527.333-1.2655.9270.086
30-105-32.5-62.828-2.1720.019
31-105-33-68.0192.0190.101
32-105-31-66.0194.0190.188
34-105-31-66.0194.0190.188
36-105-32.333-60.927-3.740.008
37-105-32-60.593-3.4070.01
39-105-32.333-60.927-3.740.008
41-105-31.4-58.526-4.2740.005
42-105-33-68.0192.0190.101
43-105-31-66.0194.0190.188
44-105-32.2-59.326-5.0740.003
46-105-32-62.328-1.6720.024
48-105-31.75-59.435-4.0650.006
49-105-32-67.0193.0190.139
50-105-32.167-58.913-5.420.003
52-105-32-58.265-5.7350.002
54-105-31.5-61.828-1.1720.03
55-105-31.5-61.828-1.1720.03
56-105-31-61.328-0.6720.037
57-105-31-66.0194.0190.188
62-105-33-68.0192.0190.101
66-105-33-68.0192.0190.101
68-105-2-37.01933.0191
70-10513-17.32843.3281
75-1055.333-23.2633.9271
77-1059.75-17.93537.4351
78-1055-25.32835.3281
80-1055-30.01940.0191
85-10512-16.59340.5931
86-10514-13.12641.1260.994
87-10513.75-13.93541.4350.997
88-1058.667-19.92737.261
90-10510.857-15.61537.3291
91-10512.25-15.43539.9351
92-10517-10.12644.1260.902
94-10518-9.68545.6850.855
95-10518.25-8.01544.5150.738
96-10521.333-7.2649.9270.574
97-10519.889-6.21345.9910.522
98-10520.667-7.92749.260.651
107-10610-12.60532.6051
108-1060-30.32830.3281
109-10618-12.32848.3280.949
111-1061.5-23.26226.2621
112-106-9-39.32821.3281
115-10613.333-9.27235.9380.953
30-106-46.5-71.262-21.7380
31-106-47-77.328-16.6720
32-106-45-75.328-14.6720
34-106-45-75.328-14.6720
36-106-46.333-68.938-23.7280
37-106-46-68.605-23.3950
39-106-46.333-68.938-23.7280
41-106-45.4-66.118-24.6820
42-106-47-77.328-16.6720
43-106-45-75.328-14.6720
44-106-46.2-66.918-25.4820
46-106-46-70.762-21.2380
48-106-45.75-67.195-24.3050
49-106-46-76.328-15.6720
50-106-46.167-66.385-25.9480
52-106-46-65.576-26.4240
54-106-45.5-70.262-20.7380
55-106-45.5-70.262-20.7380
56-106-45-69.762-20.2380
57-106-45-75.328-14.6720
62-106-47-77.328-16.6720
66-106-47-77.328-16.6720
68-106-16-46.32814.3280.991
70-106-1-25.76223.7621
75-106-8.667-31.27213.9381
77-106-4.25-25.69517.1951
78-106-9-33.76215.7621
80-106-9-39.32821.3281
85-106-2-24.60520.6051
86-1060-20.71820.7181
87-106-0.25-21.69521.1951
88-106-5.333-27.93817.2721
90-106-3.143-22.99716.7111
91-106-1.75-23.19519.6951
92-1063-17.71823.7181
94-1064-17.44525.4451
95-1064.25-15.32623.8261
96-1067.333-15.27229.9381
97-1065.889-13.46925.2471
98-1066.667-15.93829.2721
108-107-10-38.59318.5931
109-1078-20.59336.5931
111-107-8.5-31.10514.1051
112-107-19-47.5939.5930.821
115-1073.333-16.88523.5521
30-107-56.5-79.105-33.8950
31-107-57-85.593-28.4070
32-107-55-83.593-26.4070
34-107-55-83.593-26.4070
36-107-56.333-76.552-36.1150
37-107-56-76.218-35.7820
39-107-56.333-76.552-36.1150
41-107-55.4-73.484-37.3160
42-107-57-85.593-28.4070
43-107-55-83.593-26.4070
44-107-56.2-74.284-38.1160
46-107-56-78.605-33.3950
48-107-55.75-74.663-36.8370
49-107-56-84.593-27.4070
50-107-56.167-73.676-38.6570
52-107-56-72.764-39.2360
54-107-55.5-78.105-32.8950
55-107-55.5-78.105-32.8950
56-107-55-77.605-32.3950
57-107-55-83.593-26.4070
62-107-57-85.593-28.4070
66-107-57-85.593-28.4070
68-107-26-54.5932.5930.146
70-107-11-33.60511.6050.998
75-107-18.667-38.8851.5520.126
77-107-14.25-33.1634.6630.55
78-107-19-41.6053.6050.287
80-107-19-47.5939.5930.821
85-107-12-32.2188.2180.949
86-107-10-28.0848.0840.982
87-107-10.25-29.1638.6630.987
88-107-15.333-35.5524.8850.534
90-107-13.143-30.2313.9450.498
91-107-11.75-30.6637.1630.911
92-107-7-25.08411.0841
94-107-6-24.91312.9131
95-107-5.75-22.51411.0141
96-107-2.667-22.88517.5521
97-107-4.111-20.61912.3971
98-107-3.333-23.55216.8851
109-10818-17.01953.0190.995
111-1081.5-28.82831.8281
112-108-9-44.01926.0191
115-10813.333-15.2641.9270.999
30-108-46.5-76.828-16.1720
31-108-47-82.019-11.9810
32-108-45-80.019-9.9810.001
34-108-45-80.019-9.9810.001
36-108-46.333-74.927-17.740
37-108-46-74.593-17.4070
39-108-46.333-74.927-17.740
41-108-45.4-72.526-18.2740
42-108-47-82.019-11.9810
43-108-45-80.019-9.9810.001
44-108-46.2-73.326-19.0740
46-108-46-76.328-15.6720
48-108-45.75-73.435-18.0650
49-108-46-81.019-10.9810
50-108-46.167-72.913-19.420
52-108-46-72.265-19.7350
54-108-45.5-75.828-15.1720
55-108-45.5-75.828-15.1720
56-108-45-75.328-14.6720
57-108-45-80.019-9.9810.001
62-108-47-82.019-11.9810
66-108-47-82.019-11.9810
68-108-16-51.01919.0191
70-108-1-31.32829.3281
75-108-8.667-37.2619.9271
77-108-4.25-31.93523.4351
78-108-9-39.32821.3281
80-108-9-44.01926.0191
85-108-2-30.59326.5931
86-1080-27.12627.1261
87-108-0.25-27.93527.4351
88-108-5.333-33.92723.261
90-108-3.143-29.61523.3291
91-108-1.75-29.43525.9351
92-1083-24.12630.1261
94-1084-23.68531.6851
95-1084.25-22.01530.5151
96-1087.333-21.2635.9271
97-1085.889-20.21331.9911
98-1086.667-21.92735.261
111-109-16.5-46.82813.8280.986
112-109-27-62.0198.0190.492
115-109-4.667-33.2623.9271
30-109-64.5-94.828-34.1720
31-109-65-100.019-29.9810
32-109-63-98.019-27.9810
34-109-63-98.019-27.9810
36-109-64.333-92.927-35.740
37-109-64-92.593-35.4070
39-109-64.333-92.927-35.740
41-109-63.4-90.526-36.2740
42-109-65-100.019-29.9810
43-109-63-98.019-27.9810
44-109-64.2-91.326-37.0740
46-109-64-94.328-33.6720
48-109-63.75-91.435-36.0650
49-109-64-99.019-28.9810
50-109-64.167-90.913-37.420
52-109-64-90.265-37.7350
54-109-63.5-93.828-33.1720
55-109-63.5-93.828-33.1720
56-109-63-93.328-32.6720
57-109-63-98.019-27.9810
62-109-65-100.019-29.9810
66-109-65-100.019-29.9810
68-109-34-69.0191.0190.072
70-109-19-49.32811.3280.902
75-109-26.667-55.261.9270.113
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68-4630-0.32860.3280.057
70-464520.23869.7620
75-4637.33314.72859.9380
77-4641.7520.30563.1950
78-463712.23861.7620
80-46376.67267.3280.002
85-464421.39566.6050
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87-4645.7524.30567.1950
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92-464928.28269.7180
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49-48-0.25-27.93527.4351
50-48-0.417-16.40115.5671
52-48-0.25-15.41414.9141
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55-480.25-21.19521.6951
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62-48-1.25-28.93526.4351
66-48-1.25-28.93526.4351
68-4829.752.06557.4350.018
70-4844.7523.30566.1950
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86-4845.7529.13962.3610
87-4845.527.9963.010
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92-4848.7532.13965.3610
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55-500.667-19.55220.8851
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62-50-0.833-27.5825.9131
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80-5037.16710.4263.9130
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86-5046.16731.17261.1610
87-5045.91729.93361.9010
88-5040.83323.32458.3430
90-5043.02429.24756.80
91-5044.41728.43360.4010
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75-70-7.667-30.27214.9381
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80-70-8-38.32822.3281
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80-780-30.32830.3281
85-787-15.60529.6051
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97-96-1.444-17.95315.0641
98-96-0.667-20.88519.5521
98-970.778-15.73117.2861


Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group511.7890.007
102
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/25/t12906867352pul25n3qijo0f8/3v5fd1290686631.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/25/t12906867352pul25n3qijo0f8/3v5fd1290686631.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/25/t12906867352pul25n3qijo0f8/4oeey1290686631.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/25/t12906867352pul25n3qijo0f8/4oeey1290686631.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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