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compendium 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: Sun, 28 Nov 2010 19:38:03 +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/28/t12909734998k48z2zbbskuu1s.htm/, Retrieved Sun, 28 Nov 2010 20:45:01 +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/28/t12909734998k48z2zbbskuu1s.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:
year 7 - 11-12 age range and the mother's age of gestation
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1 88 3 94 3 90 3 73 1 68 2 80 3 86 3 86 2 91 1 79 1 96 3 92 3 72 3 96 1 70 3 86 3 87 3 88 2 79 2 90 1 95 1 85 3 3 90 1 115 1 84 3 79 1 94 2 97 3 86 2 111 2 87 3 98 1 87 3 68 3 88 1 82 2 111 1 75 1 94 2 95 1 80 1 95 3 68 2 94 2 88 1 84 1 1 101 1 98 2 78 3 109 3 102 3 81 3 97 2 75 2 97 2 3 101 3 101 2 95 2 95 2 3 95 2 90 3 107 3 92 2 86 2 70 3 95 3 96 2 91 1 87 2 92 2 97 2 102 2 91 3 68 2 88 3 97 1 90 3 101 3 94 1 101 1 109 2 100 1 103 3 94 1 97 3 85 2 75 3 77 1 87 1 78 2 108 3 97 1 105 3 106 1 107 2 95 2 107 3 115 3 101 1 85 3 90 3 115 3 95 2 97 3 112 3 97 3 77 3 90 1 94 3 103 1 77 3 98 3 90 3 111 2 77 3 88 2 75 3 92 2 78 2 106 2 80 3 87 3 92 1 1 111 3 86 3 85 2 90 1 101 3 94 3 86 3 86 2 90 1 75 3 86 3 91 3 97 2 91 3 70 2 98 3 96 3 95 2 100 3 95 3 97 3 97 3 92 1 115 3 88 2 87 3 100 3 98 1 102 1 3 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 time17 seconds
R Server'George Udny Yule' @ 72.249.76.132


ANOVA Model
MOMAGE ~ WISCRY7V
means86.824-84.824-84.824-84.324-84.824-85.824-84.324-84.824-84.824-84.824-83.824-83.824-83.8243.239-0.527-84.824-85.324-83.824-83.824-84.824-84.574-85.157-85.324-84.824-83.824-85.157-84.074-84.824-84.824-84.324-84.824-84.024-84.224-84.424-84.324-84.449-84.824


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
WISCRY7V36271274.4827535.40231.7180
Residuals12228983.946237.573


Tukey Honest Significant Difference Comparisons
difflwruprp adj
100-1-84.824-147.458-22.1890
101-1-84.824-118.65-50.9970
102-1-84.324-129.827-38.820
103-1-84.824-130.327-39.320
105-1-85.824-148.458-23.1890
106-1-84.324-129.827-38.820
107-1-84.824-122.942-46.7050
108-1-84.824-147.458-22.1890
109-1-84.824-130.327-39.320
111-1-83.824-146.458-21.1890
112-1-83.824-146.458-21.1890
115-1-83.824-129.327-38.320
2-13.239-17.96324.4411
3-1-0.527-19.37318.3191
68-1-84.824-130.327-39.320
70-1-85.324-130.827-39.820
72-1-83.824-146.458-21.1890
73-1-83.824-146.458-21.1890
75-1-84.824-122.942-46.7050
77-1-84.574-118.4-50.7470
78-1-85.157-123.275-47.0390
79-1-85.324-130.827-39.820
80-1-84.824-130.327-39.320
81-1-83.824-146.458-21.1890
85-1-85.157-123.275-47.0390
86-1-84.074-117.9-50.2470
87-1-84.824-118.65-50.9970
88-1-84.824-115.791-53.8560
90-1-84.324-110.421-58.2260
91-1-84.824-122.942-46.7050
92-1-84.024-114.991-53.0560
94-1-84.224-115.191-53.2560
95-1-84.424-115.391-53.4560
96-1-84.324-118.15-50.4970
97-1-84.449-110.546-58.3510
98-1-84.824-130.327-39.320
101-1000-68.05568.0551
102-1000.5-74.0575.051
103-1000-74.5574.551
105-100-1-87.08385.0831
106-1000.5-74.0575.051
107-1000-70.28770.2871
108-1000-86.08386.0831
109-1000-74.5574.551
111-1001-85.08387.0831
112-1001-85.08387.0831
115-1001-73.5575.551
2-10088.06225.319150.8060
3-10084.29622.309146.2830
68-1000-74.5574.551
70-100-0.5-75.0574.051
72-1001-85.08387.0831
73-1001-85.08387.0831
75-1000-70.28770.2871
77-1000.25-67.80568.3051
78-100-0.333-70.6269.9531
79-100-0.5-75.0574.051
80-1000-74.5574.551
81-1001-85.08387.0831
85-100-0.333-70.6269.9531
86-1000.75-67.30568.8051
87-1000-68.05568.0551
88-1000-66.6866.681
90-1000.5-64.06265.0621
91-1000-70.28770.2871
92-1000.8-65.8867.481
94-1000.6-66.0867.281
95-1000.4-66.2867.081
96-1000.5-67.55568.5551
97-1000.375-64.18764.9371
98-1000-74.5574.551
102-1010.5-52.21553.2151
103-1010-52.71552.7151
105-101-1-69.05567.0551
106-1010.5-52.21553.2151
107-1010-46.4946.491
108-1010-68.05568.0551
109-1010-52.71552.7151
111-1011-67.05569.0551
112-1011-67.05569.0551
115-1011-51.71553.7151
2-10188.06254.035122.090
3-10184.29651.685116.9080
68-1010-52.71552.7151
70-101-0.5-53.21552.2151
72-1011-67.05569.0551
73-1011-67.05569.0551
75-1010-46.4946.491
77-1010.25-42.79243.2921
78-101-0.333-46.82446.1571
79-101-0.5-53.21552.2151
80-1010-52.71552.7151
81-1011-67.05569.0551
85-101-0.333-46.82446.1571
86-1010.75-42.29243.7921
87-1010-43.04243.0421
88-1010-40.83340.8331
90-1010.5-36.77537.7751
91-1010-46.4946.491
92-1010.8-40.03341.6331
94-1010.6-40.23341.4331
95-1010.4-40.43341.2331
96-1010.5-42.54243.5421
97-1010.375-36.937.651
98-1010-52.71552.7151
103-102-0.5-61.3760.371
105-102-1.5-76.0573.051
106-1020-60.8760.871
107-102-0.5-56.06655.0661
108-102-0.5-75.0574.051
109-102-0.5-61.3760.371
111-1020.5-74.0575.051
112-1020.5-74.0575.051
115-1020.5-60.3761.371
2-10287.56241.91133.2150
3-10283.79639.189128.4040
68-102-0.5-61.3760.371
70-102-1-61.8759.871
72-1020.5-74.0575.051
73-1020.5-74.0575.051
75-102-0.5-56.06655.0661
77-102-0.25-52.96552.4651
78-102-0.833-56.454.7331
79-102-1-61.8759.871
80-102-0.5-61.3760.371
81-1020.5-74.0575.051
85-102-0.833-56.454.7331
86-1020.25-52.46552.9651
87-102-0.5-53.21552.2151
88-102-0.5-51.42750.4271
90-1020-48.12248.1221
91-102-0.5-56.06655.0661
92-1020.3-50.62751.2271
94-1020.1-50.82751.0271
95-102-0.1-51.02750.8271
96-1020-52.71552.7151
97-102-0.125-48.24747.9971
98-102-0.5-61.3760.371
105-103-1-75.5573.551
106-1030.5-60.3761.371
107-1030-55.56655.5661
108-1030-74.5574.551
109-1030-60.8760.871
111-1031-73.5575.551
112-1031-73.5575.551
115-1031-59.8761.871
2-10388.06342.41133.7150
3-10384.29639.689128.9040
68-1030-60.8760.871
70-103-0.5-61.3760.371
72-1031-73.5575.551
73-1031-73.5575.551
75-1030-55.56655.5661
77-1030.25-52.46552.9651
78-103-0.333-55.955.2331
79-103-0.5-61.3760.371
80-1030-60.8760.871
81-1031-73.5575.551
85-103-0.333-55.955.2331
86-1030.75-51.96553.4651
87-1030-52.71552.7151
88-1030-50.92750.9271
90-1030.5-47.62248.6221
91-1030-55.56655.5661
92-1030.8-50.12751.7271
94-1030.6-50.32751.5271
95-1030.4-50.52751.3271
96-1030.5-52.21553.2151
97-1030.375-47.74748.4971
98-1030-60.8760.871
106-1051.5-73.0576.051
107-1051-69.28771.2871
108-1051-85.08387.0831
109-1051-73.5575.551
111-1052-84.08388.0831
112-1052-84.08388.0831
115-1052-72.5576.551
2-10589.06226.319151.8060
3-10585.29623.309147.2830
68-1051-73.5575.551
70-1050.5-74.0575.051
72-1052-84.08388.0831
73-1052-84.08388.0831
75-1051-69.28771.2871
77-1051.25-66.80569.3051
78-1050.667-69.6270.9531
79-1050.5-74.0575.051
80-1051-73.5575.551
81-1052-84.08388.0831
85-1050.667-69.6270.9531
86-1051.75-66.30569.8051
87-1051-67.05569.0551
88-1051-65.6867.681
90-1051.5-63.06266.0621
91-1051-69.28771.2871
92-1051.8-64.8868.481
94-1051.6-65.0868.281
95-1051.4-65.2868.081
96-1051.5-66.55569.5551
97-1051.375-63.18765.9371
98-1051-73.5575.551
107-106-0.5-56.06655.0661
108-106-0.5-75.0574.051
109-106-0.5-61.3760.371
111-1060.5-74.0575.051
112-1060.5-74.0575.051
115-1060.5-60.3761.371
2-10687.56241.91133.2150
3-10683.79639.189128.4040
68-106-0.5-61.3760.371
70-106-1-61.8759.871
72-1060.5-74.0575.051
73-1060.5-74.0575.051
75-106-0.5-56.06655.0661
77-106-0.25-52.96552.4651
78-106-0.833-56.454.7331
79-106-1-61.8759.871
80-106-0.5-61.3760.371
81-1060.5-74.0575.051
85-106-0.833-56.454.7331
86-1060.25-52.46552.9651
87-106-0.5-53.21552.2151
88-106-0.5-51.42750.4271
90-1060-48.12248.1221
91-106-0.5-56.06655.0661
92-1060.3-50.62751.2271
94-1060.1-50.82751.0271
95-106-0.1-51.02750.8271
96-1060-52.71552.7151
97-106-0.125-48.24747.9971
98-106-0.5-61.3760.371
108-1070-70.28770.2871
109-1070-55.56655.5661
111-1071-69.28771.2871
112-1071-69.28771.2871
115-1071-54.56656.5661
2-10788.06249.766126.3590
3-10784.29647.252121.3410
68-1070-55.56655.5661
70-107-0.5-56.06655.0661
72-1071-69.28771.2871
73-1071-69.28771.2871
75-1070-49.749.71
77-1070.25-46.2446.741
78-107-0.333-50.03349.3671
79-107-0.5-56.06655.0661
80-1070-55.56655.5661
81-1071-69.28771.2871
85-107-0.333-50.03349.3671
86-1070.75-45.7447.241
87-1070-46.4946.491
88-1070-44.45344.4531
90-1070.5-40.70941.7091
91-1070-49.749.71
92-1070.8-43.65345.2531
94-1070.6-43.85345.0531
95-1070.4-44.05344.8531
96-1070.5-45.9946.991
97-1070.375-40.83441.5841
98-1070-55.56655.5661
109-1080-74.5574.551
111-1081-85.08387.0831
112-1081-85.08387.0831
115-1081-73.5575.551
2-10888.06325.319150.8060
3-10884.29622.309146.2830
68-1080-74.5574.551
70-108-0.5-75.0574.051
72-1081-85.08387.0831
73-1081-85.08387.0831
75-1080-70.28770.2871
77-1080.25-67.80568.3051
78-108-0.333-70.6269.9531
79-108-0.5-75.0574.051
80-1080-74.5574.551
81-1081-85.08387.0831
85-108-0.333-70.6269.9531
86-1080.75-67.30568.8051
87-1080-68.05568.0551
88-1080-66.6866.681
90-1080.5-64.06265.0621
91-1080-70.28770.2871
92-1080.8-65.8867.481
94-1080.6-66.0867.281
95-1080.4-66.2867.081
96-1080.5-67.55568.5551
97-1080.375-64.18764.9371
98-1080-74.5574.551
111-1091-73.5575.551
112-1091-73.5575.551
115-1091-59.8761.871
2-10988.06342.41133.7150
3-10984.29639.689128.9040
68-1090-60.8760.871
70-109-0.5-61.3760.371
72-1091-73.5575.551
73-1091-73.5575.551
75-1090-55.56655.5661
77-1090.25-52.46552.9651
78-109-0.333-55.955.2331
79-109-0.5-61.3760.371
80-1090-60.8760.871
81-1091-73.5575.551
85-109-0.333-55.955.2331
86-1090.75-51.96553.4651
87-1090-52.71552.7151
88-1090-50.92750.9271
90-1090.5-47.62248.6221
91-1090-55.56655.5661
92-1090.8-50.12751.7271
94-1090.6-50.32751.5271
95-1090.4-50.52751.3271
96-1090.5-52.21553.2151
97-1090.375-47.74748.4971
98-1090-60.8760.871
112-1110-86.08386.0831
115-1110-74.5574.551
2-11187.06224.319149.8060
3-11183.29621.309145.2830
68-111-1-75.5573.551
70-111-1.5-76.0573.051
72-1110-86.08386.0831
73-1110-86.08386.0831
75-111-1-71.28769.2871
77-111-0.75-68.80567.3051
78-111-1.333-71.6268.9531
79-111-1.5-76.0573.051
80-111-1-75.5573.551
81-1110-86.08386.0831
85-111-1.333-71.6268.9531
86-111-0.25-68.30567.8051
87-111-1-69.05567.0551
88-111-1-67.6865.681
90-111-0.5-65.06264.0621
91-111-1-71.28769.2871
92-111-0.2-66.8866.481
94-111-0.4-67.0866.281
95-111-0.6-67.2866.081
96-111-0.5-68.55567.5551
97-111-0.625-65.18763.9371
98-111-1-75.5573.551
115-1120-74.5574.551
2-11287.06224.319149.8060
3-11283.29621.309145.2830
68-112-1-75.5573.551
70-112-1.5-76.0573.051
72-1120-86.08386.0831
73-1120-86.08386.0831
75-112-1-71.28769.2871
77-112-0.75-68.80567.3051
78-112-1.333-71.6268.9531
79-112-1.5-76.0573.051
80-112-1-75.5573.551
81-1120-86.08386.0831
85-112-1.333-71.6268.9531
86-112-0.25-68.30567.8051
87-112-1-69.05567.0551
88-112-1-67.6865.681
90-112-0.5-65.06264.0621
91-112-1-71.28769.2871
92-112-0.2-66.8866.481
94-112-0.4-67.0866.281
95-112-0.6-67.2866.081
96-112-0.5-68.55567.5551
97-112-0.625-65.18763.9371
98-112-1-75.5573.551
2-11587.06341.41132.7150
3-11583.29638.689127.9040
68-115-1-61.8759.871
70-115-1.5-62.3759.371
72-1150-74.5574.551
73-1150-74.5574.551
75-115-1-56.56654.5661
77-115-0.75-53.46551.9651
78-115-1.333-56.954.2331
79-115-1.5-62.3759.371
80-115-1-61.8759.871
81-1150-74.5574.551
85-115-1.333-56.954.2331
86-115-0.25-52.96552.4651
87-115-1-53.71551.7151
88-115-1-51.92749.9271
90-115-0.5-48.62247.6221
91-115-1-56.56654.5661
92-115-0.2-51.12750.7271
94-115-0.4-51.32750.5271
95-115-0.6-51.52750.3271
96-115-0.5-53.21552.2151
97-115-0.625-48.74747.4971
98-115-1-61.8759.871
3-2-3.766-22.9715.4381
68-2-88.062-133.715-42.410
70-2-88.563-134.215-42.910
72-2-87.062-149.806-24.3190
73-2-87.062-149.806-24.3190
75-2-88.062-126.359-49.7660
77-2-87.813-121.84-53.7850
78-2-88.396-126.692-50.0990
79-2-88.562-134.215-42.910
80-2-88.062-133.715-42.410
81-2-87.063-149.806-24.3190
85-2-88.396-126.692-50.0990
86-2-87.313-121.34-53.2850
87-2-88.062-122.09-54.0350
88-2-88.062-119.249-56.8760
90-2-87.563-113.92-61.2050
91-2-88.062-126.359-49.7660
92-2-87.263-118.449-56.0760
94-2-87.462-118.649-56.2760
95-2-87.662-118.849-56.4760
96-2-87.562-121.59-53.5350
97-2-87.687-114.045-61.330
98-2-88.062-133.715-42.410
68-3-84.296-128.904-39.6890
70-3-84.796-129.404-40.1890
72-3-83.296-145.283-21.3090
73-3-83.296-145.283-21.3090
75-3-84.296-121.341-47.2520
77-3-84.046-116.658-51.4350
78-3-84.63-121.674-47.5850
79-3-84.796-129.404-40.1890
80-3-84.296-128.904-39.6890
81-3-83.296-145.283-21.3090
85-3-84.63-121.674-47.5850
86-3-83.546-116.158-50.9350
87-3-84.296-116.908-51.6850
88-3-84.296-113.932-54.6610
90-3-83.796-108.299-59.2940
91-3-84.296-121.341-47.2520
92-3-83.496-113.132-53.8610
94-3-83.696-113.332-54.0610
95-3-83.896-113.532-54.2610
96-3-83.796-116.408-51.1850
97-3-83.921-108.424-59.4190
98-3-84.296-128.904-39.6890
70-68-0.5-61.3760.371
72-681-73.5575.551
73-681-73.5575.551
75-680-55.56655.5661
77-680.25-52.46552.9651
78-68-0.333-55.955.2331
79-68-0.5-61.3760.371
80-680-60.8760.871
81-681-73.5575.551
85-68-0.333-55.955.2331
86-680.75-51.96553.4651
87-680-52.71552.7151
88-680-50.92750.9271
90-680.5-47.62248.6221
91-680-55.56655.5661
92-680.8-50.12751.7271
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80-750-55.56655.5661
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85-75-0.333-50.03349.3671
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88-750-44.45344.4531
90-750.5-40.70941.7091
91-750-49.749.71
92-750.8-43.65345.2531
94-750.6-43.85345.0531
95-750.4-44.05344.8531
96-750.5-45.9946.991
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Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group360.7890.792
122
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/28/t12909734998k48z2zbbskuu1s/3cq4r1290973065.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/28/t12909734998k48z2zbbskuu1s/3cq4r1290973065.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/28/t12909734998k48z2zbbskuu1s/4cq4r1290973065.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/28/t12909734998k48z2zbbskuu1s/4cq4r1290973065.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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