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week 9 Q1 Part 2

*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: Thu, 03 Dec 2009 10:28:57 -0700
 
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/03/t1259870476gbh6iw30avskcmk.htm/, Retrieved Thu, 03 Dec 2009 21:01:19 +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/03/t1259870476gbh6iw30avskcmk.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 «
36 67 36 86 56 86 48 103 32 74 44 63 39 82 34 93 41 77 50 111 39 71 62 103 52 89 37 75 50 88 41 84 55 85 41 70 56 104 39 88 52 77 46 77 44 72 48 70 41 83 50 110 50 91 44 80 52 91 54 86 44 85 52 107 37 93 52 87 50 84 36 73 50 84 52 86 55 99 31 75 36 87 49 79 42 82 37 95 41 84 30 85 52 95 30 63 41 78 44 85 66 86 48 75 43 98 57 71 46 63 54 71 48 84 48 81 52 93 62 79 58 63 58 93 62 92 48 93 46 83 34 80 66 111 52 92 55 79 55 69 57 83 56 80 55 91 56 97 54 85 55 85 46 99 52 67 32 87 44 68 46 81 59 80 46 93 46 93 54 102 66 104 56 90 59 85 57 92 52 82 48 85 44 89 41 77 50 79 48 76 48 101 59 81 34 92 46 89 54 81 55 77 54 95 59 85 44 81 54 76 52 93 66 104 44 89 57 76 39 77 60 71 45 79 41 89 50 81 39 99 43 81 48 84 37 85 58 111 46 78 43 111 44 78 34 87 30 92 50 93 39 70 37 84 55 75 48 105 41 96 39 85 36 87 43 75 50 103 55 86 43 77 60 74 48 74 30 76 43 83 39 101 52 83 39 92 39 74 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 time13 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


ANOVA Model
RespVar ~ Mothersviq
means43.510.59.83319.1674.58.515.56.510.7510.50.511.5-0.83310.36.5-7.51.250.6673.751.7860.1677.6675.3335.6430.8337.8751.54.16710.643-2.511.911.58.8332.1673.54.167712.5-1.53.167


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Mothersviq413130.37476.3511.0870.356
Residuals1188287.60170.234


Tukey Honest Significant Difference Comparisons
difflwruprp adj
102-10110.5-30.73251.7321
103-1019.833-20.89940.5661
104-10119.167-11.56649.8990.887
105-1014.5-36.73245.7321
107-1018.5-32.73249.7321
109-10115.5-25.73256.7321
110-1016.5-34.73247.7321
111-10110.75-18.40539.9051
63-1011-28.15530.1551
67-1010.5-33.16634.1661
68-1010.5-40.73241.7321
69-10111.5-29.73252.7321
70-101-0.833-31.56629.8991
71-10110.3-17.86738.4671
72-1016.5-27.16640.1661
73-101-7.5-48.73233.7321
74-1011.25-27.90530.4051
75-1010.667-26.82128.1551
76-1013.75-25.40532.9051
77-1011.786-25.20728.7781
78-1010.167-30.56630.8991
79-1017.667-19.82135.1551
80-1015.333-22.15532.8211
81-1015.643-21.3532.6351
82-1010.833-29.89931.5661
83-1017.875-18.7434.491
84-1011.5-25.49328.4931
85-1014.167-21.54629.8791
86-10110.643-16.3537.6351
87-101-2.5-29.98824.9881
88-1011-32.66634.6661
89-1011.9-26.26730.0671
90-10111.5-22.16645.1661
91-1018.833-21.89939.5661
92-1012.167-25.32129.6551
93-1013.5-22.81829.8181
95-1014.167-26.56634.8991
96-1017-26.66640.6661
97-10112.5-28.73253.7321
98-101-1.5-35.16632.1661
99-1013.167-27.56633.8991
103-102-0.667-39.5438.2071
104-1028.667-30.20747.541
105-102-6-53.6141.611
107-102-2-49.6145.611
109-1025-42.6152.611
110-102-4-51.6143.611
111-1020.25-37.38937.8891
63-102-9.5-47.13928.1391
67-102-10-51.23231.2321
68-102-10-57.6137.611
69-1021-46.6148.611
70-102-11.333-50.20727.541
71-102-0.2-37.07936.6791
72-102-4-45.23237.2321
73-102-18-65.6129.611
74-102-9.25-46.88928.3891
75-102-9.833-46.19626.531
76-102-6.75-44.38930.8891
77-102-8.714-44.70427.2761
78-102-10.333-49.20728.541
79-102-2.833-39.19633.531
80-102-5.167-41.5331.1961
81-102-4.857-40.84731.1331
82-102-9.667-48.5429.2071
83-102-2.625-38.33333.0831
84-102-9-44.9926.991
85-102-6.333-41.37428.7071
86-1020.143-35.84736.1331
87-102-13-49.36323.3631
88-102-9.5-50.73231.7321
89-102-8.6-45.47928.2791
90-1021-40.23242.2321
91-102-1.667-40.5437.2071
92-102-8.333-44.69628.031
93-102-7-42.48728.4871
95-102-6.333-45.20732.541
96-102-3.5-44.73237.7321
97-1022-45.6149.611
98-102-12-53.23229.2321
99-102-7.333-46.20731.541
104-1039.333-18.15536.8211
105-103-5.333-44.20733.541
107-103-1.333-40.20737.541
109-1035.667-33.20744.541
110-103-3.333-42.20735.541
111-1030.917-24.79626.6291
63-103-8.833-34.54616.8791
67-103-9.333-40.06621.3991
68-103-9.333-48.20729.541
69-1031.667-37.20740.541
70-103-10.667-38.15516.8211
71-1030.467-24.11925.0531
72-103-3.333-34.06627.3991
73-103-17.333-56.20721.540.999
74-103-8.583-34.29617.1291
75-103-9.167-32.97214.6391
76-103-6.083-31.79619.6291
77-103-8.048-31.27915.1841
78-103-9.667-37.15517.8211
79-103-2.167-25.97221.6391
80-103-4.5-28.30519.3051
81-103-4.19-27.42219.0411
82-103-9-36.48818.4881
83-103-1.958-24.7520.8331
84-103-8.333-31.56514.8981
85-103-5.667-27.39816.0641
86-1030.81-22.42224.0411
87-103-12.333-36.13911.4720.99
88-103-8.833-39.56621.8991
89-103-7.933-32.51916.6531
90-1031.667-29.06632.3991
91-103-1-28.48826.4881
92-103-7.667-31.47216.1391
93-103-6.333-28.77716.111
95-103-5.667-33.15521.8211
96-103-2.833-33.56627.8991
97-1032.667-36.20741.541
98-103-11.333-42.06619.3991
99-103-6.667-34.15520.8211
105-104-14.667-53.5424.2071
107-104-10.667-49.5428.2071
109-104-3.667-42.5435.2071
110-104-12.667-51.5426.2071
111-104-8.417-34.12917.2961
63-104-18.167-43.8797.5460.677
67-104-18.667-49.39912.0660.915
68-104-18.667-57.5420.2070.997
69-104-7.667-46.5431.2071
70-104-20-47.4887.4880.611
71-104-8.867-33.45315.7191
72-104-12.667-43.39918.0661
73-104-26.667-65.5412.2070.738
74-104-17.917-43.6297.7960.706
75-104-18.5-42.3055.3050.453
76-104-15.417-41.12910.2960.926
77-104-17.381-40.6125.8510.545
78-104-19-46.4888.4880.723
79-104-11.5-35.30512.3050.997
80-104-13.833-37.6399.9720.949
81-104-13.524-36.7559.7080.948
82-104-18.333-45.8219.1550.79
83-104-11.292-34.08311.50.995
84-104-17.667-40.8985.5650.505
85-104-15-36.7316.7310.725
86-104-8.524-31.75514.7081
87-104-21.667-45.4722.1390.141
88-104-18.167-48.89912.5660.937
89-104-17.267-41.8537.3190.69
90-104-7.667-38.39923.0661
91-104-10.333-37.82117.1551
92-104-17-40.8056.8050.653
93-104-15.667-38.116.7770.702
95-104-15-42.48812.4880.978
96-104-12.167-42.89918.5661
97-104-6.667-45.5432.2071
98-104-20.667-51.39910.0660.775
99-104-16-43.48811.4880.948
107-1054-43.6151.611
109-10511-36.6158.611
110-1052-45.6149.611
111-1056.25-31.38943.8891
63-105-3.5-41.13934.1391
67-105-4-45.23237.2321
68-105-4-51.6143.611
69-1057-40.6154.611
70-105-5.333-44.20733.541
71-1055.8-31.07942.6791
72-1052-39.23243.2321
73-105-12-59.6135.611
74-105-3.25-40.88934.3891
75-105-3.833-40.19632.531
76-105-0.75-38.38936.8891
77-105-2.714-38.70433.2761
78-105-4.333-43.20734.541
79-1053.167-33.19639.531
80-1050.833-35.5337.1961
81-1051.143-34.84737.1331
82-105-3.667-42.5435.2071
83-1053.375-32.33339.0831
84-105-3-38.9932.991
85-105-0.333-35.37434.7071
86-1056.143-29.84742.1331
87-105-7-43.36329.3631
88-105-3.5-44.73237.7321
89-105-2.6-39.47934.2791
90-1057-34.23248.2321
91-1054.333-34.5443.2071
92-105-2.333-38.69634.031
93-105-1-36.48734.4871
95-105-0.333-39.20738.541
96-1052.5-38.73243.7321
97-1058-39.6155.611
98-105-6-47.23235.2321
99-105-1.333-40.20737.541
109-1077-40.6154.611
110-107-2-49.6145.611
111-1072.25-35.38939.8891
63-107-7.5-45.13930.1391
67-107-8-49.23233.2321
68-107-8-55.6139.611
69-1073-44.6150.611
70-107-9.333-48.20729.541
71-1071.8-35.07938.6791
72-107-2-43.23239.2321
73-107-16-63.6131.611
74-107-7.25-44.88930.3891
75-107-7.833-44.19628.531
76-107-4.75-42.38932.8891
77-107-6.714-42.70429.2761
78-107-8.333-47.20730.541
79-107-0.833-37.19635.531
80-107-3.167-39.5333.1961
81-107-2.857-38.84733.1331
82-107-7.667-46.5431.2071
83-107-0.625-36.33335.0831
84-107-7-42.9928.991
85-107-4.333-39.37430.7071
86-1072.143-33.84738.1331
87-107-11-47.36325.3631
88-107-7.5-48.73233.7321
89-107-6.6-43.47930.2791
90-1073-38.23244.2321
91-1070.333-38.5439.2071
92-107-6.333-42.69630.031
93-107-5-40.48730.4871
95-107-4.333-43.20734.541
96-107-1.5-42.73239.7321
97-1074-43.6151.611
98-107-10-51.23231.2321
99-107-5.333-44.20733.541
110-109-9-56.6138.611
111-109-4.75-42.38932.8891
63-109-14.5-52.13923.1391
67-109-15-56.23226.2321
68-109-15-62.6132.611
69-109-4-51.6143.611
70-109-16.333-55.20722.541
71-109-5.2-42.07931.6791
72-109-9-50.23232.2321
73-109-23-70.6124.610.997
74-109-14.25-51.88923.3891
75-109-14.833-51.19621.531
76-109-11.75-49.38925.8891
77-109-13.714-49.70422.2761
78-109-15.333-54.20723.541
79-109-7.833-44.19628.531
80-109-10.167-46.5326.1961
81-109-9.857-45.84726.1331
82-109-14.667-53.5424.2071
83-109-7.625-43.33328.0831
84-109-14-49.9921.991
85-109-11.333-46.37423.7071
86-109-4.857-40.84731.1331
87-109-18-54.36318.3630.995
88-109-14.5-55.73226.7321
89-109-13.6-50.47923.2791
90-109-4-45.23237.2321
91-109-6.667-45.5432.2071
92-109-13.333-49.69623.031
93-109-12-47.48723.4871
95-109-11.333-50.20727.541
96-109-8.5-49.73232.7321
97-109-3-50.6144.611
98-109-17-58.23224.2321
99-109-12.333-51.20726.541
111-1104.25-33.38941.8891
63-110-5.5-43.13932.1391
67-110-6-47.23235.2321
68-110-6-53.6141.611
69-1105-42.6152.611
70-110-7.333-46.20731.541
71-1103.8-33.07940.6791
72-1100-41.23241.2321
73-110-14-61.6133.611
74-110-5.25-42.88932.3891
75-110-5.833-42.19630.531
76-110-2.75-40.38934.8891
77-110-4.714-40.70431.2761
78-110-6.333-45.20732.541
79-1101.167-35.19637.531
80-110-1.167-37.5335.1961
81-110-0.857-36.84735.1331
82-110-5.667-44.5433.2071
83-1101.375-34.33337.0831
84-110-5-40.9930.991
85-110-2.333-37.37432.7071
86-1104.143-31.84740.1331
87-110-9-45.36327.3631
88-110-5.5-46.73235.7321
89-110-4.6-41.47932.2791
90-1105-36.23246.2321
91-1102.333-36.5441.2071
92-110-4.333-40.69632.031
93-110-3-38.48732.4871
95-110-2.333-41.20736.541
96-1100.5-40.73241.7321
97-1106-41.6153.611
98-110-8-49.23233.2321
99-110-3.333-42.20735.541
63-111-9.75-33.55514.0551
67-111-10.25-39.40518.9051
68-111-10.25-47.88927.3891
69-1110.75-36.88938.3891
70-111-11.583-37.29614.1290.999
71-111-0.45-23.03422.1341
72-111-4.25-33.40524.9051
73-111-18.25-55.88919.3890.997
74-111-9.5-33.30514.3051
75-111-10.083-31.81411.6480.999
76-111-7-30.80516.8051
77-111-8.964-30.06512.1371
78-111-10.583-36.29615.1291
79-111-3.083-24.81418.6481
80-111-5.417-27.14816.3141
81-111-5.107-26.20815.9941
82-111-9.917-35.62915.7961
83-111-2.875-23.49117.7411
84-111-9.25-30.35111.8511
85-111-6.583-26.0212.8541
86-111-0.107-21.20820.9941
87-111-13.25-34.9818.4810.911
88-111-9.75-38.90519.4051
89-111-8.85-31.43413.7341
90-1110.75-28.40529.9051
91-111-1.917-27.62923.7961
92-111-8.583-30.31413.1481
93-111-7.25-27.48112.9811
95-111-6.583-32.29619.1291
96-111-3.75-32.90525.4051
97-1111.75-35.88939.3891
98-111-12.25-41.40516.9051
99-111-7.583-33.29618.1291
67-63-0.5-29.65528.6551
68-63-0.5-38.13937.1391
69-6310.5-27.13948.1391
70-63-1.833-27.54623.8791
71-639.3-13.28431.8841
72-635.5-23.65534.6551
73-63-8.5-46.13929.1391
74-630.25-23.55524.0551
75-63-0.333-22.06421.3981
76-632.75-21.05526.5551
77-630.786-20.31521.8871
78-63-0.833-26.54624.8791
79-636.667-15.06428.3981
80-634.333-17.39826.0641
81-634.643-16.45825.7441
82-63-0.167-25.87925.5461
83-636.875-13.74127.4911
84-630.5-20.60121.6011
85-633.167-16.2722.6041
86-639.643-11.45830.7440.999
87-63-3.5-25.23118.2311
88-630-29.15529.1551
89-630.9-21.68423.4841
90-6310.5-18.65539.6551
91-637.833-17.87933.5461
92-631.167-20.56422.8981
93-632.5-17.73122.7311
95-633.167-22.54628.8791
96-636-23.15535.1551
97-6311.5-26.13949.1391
98-63-2.5-31.65526.6551
99-632.167-23.54627.8791
68-670-41.23241.2321
69-6711-30.23252.2321
70-67-1.333-32.06629.3991
71-679.8-18.36737.9671
72-676-27.66639.6661
73-67-8-49.23233.2321
74-670.75-28.40529.9051
75-670.167-27.32127.6551
76-673.25-25.90532.4051
77-671.286-25.70728.2781
78-67-0.333-31.06630.3991
79-677.167-20.32134.6551
80-674.833-22.65532.3211
81-675.143-21.8532.1351
82-670.333-30.39931.0661
83-677.375-19.2433.991
84-671-25.99327.9931
85-673.667-22.04629.3791
86-6710.143-16.8537.1351
87-67-3-30.48824.4881
88-670.5-33.16634.1661
89-671.4-26.76729.5671
90-6711-22.66644.6661
91-678.333-22.39939.0661
92-671.667-25.82129.1551
93-673-23.31829.3181
95-673.667-27.06634.3991
96-676.5-27.16640.1661
97-6712-29.23253.2321
98-67-2-35.66631.6661
99-672.667-28.06633.3991
69-6811-36.6158.611
70-68-1.333-40.20737.541
71-689.8-27.07946.6791
72-686-35.23247.2321
73-68-8-55.6139.611
74-680.75-36.88938.3891
75-680.167-36.19636.531
76-683.25-34.38940.8891
77-681.286-34.70437.2761
78-68-0.333-39.20738.541
79-687.167-29.19643.531
80-684.833-31.5341.1961
81-685.143-30.84741.1331
82-680.333-38.5439.2071
83-687.375-28.33343.0831
84-681-34.9936.991
85-683.667-31.37438.7071
86-6810.143-25.84746.1331
87-68-3-39.36333.3631
88-680.5-40.73241.7321
89-681.4-35.47938.2791
90-6811-30.23252.2321
91-688.333-30.5447.2071
92-681.667-34.69638.031
93-683-32.48738.4871
95-683.667-35.20742.541
96-686.5-34.73247.7321
97-6812-35.6159.611
98-68-2-43.23239.2321
99-682.667-36.20741.541
70-69-12.333-51.20726.541
71-69-1.2-38.07935.6791
72-69-5-46.23236.2321
73-69-19-66.6128.611
74-69-10.25-47.88927.3891
75-69-10.833-47.19625.531
76-69-7.75-45.38929.8891
77-69-9.714-45.70426.2761
78-69-11.333-50.20727.541
79-69-3.833-40.19632.531
80-69-6.167-42.5330.1961
81-69-5.857-41.84730.1331
82-69-10.667-49.5428.2071
83-69-3.625-39.33332.0831
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96-69-4.5-45.73236.7321
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99-69-8.333-47.20730.541
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82-701.667-25.82129.1551
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86-7011.476-11.75534.7080.995
87-70-1.667-25.47222.1391
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72-71-3.8-31.96724.3671
73-71-17.8-54.67919.0790.997
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88-71-9.3-37.46718.8671
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88-738.5-32.73249.7321
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99-76-0.583-26.29625.1291
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92-81-3.476-22.20615.2541
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88-820.167-30.56630.8991
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98-97-14-55.23227.2321
99-97-9.333-48.20729.541
99-984.667-26.06635.3991


Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group410.8820.67
118
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259870476gbh6iw30avskcmk/3x7w21259861323.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259870476gbh6iw30avskcmk/3x7w21259861323.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/03/t1259870476gbh6iw30avskcmk/4vc3j1259861323.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259870476gbh6iw30avskcmk/4vc3j1259861323.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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