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4

*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: Mon, 29 Nov 2010 22:10:18 +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/29/t12910685285y2d9rrawfxdxng.htm/, Retrieved Mon, 29 Nov 2010 23:08:51 +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/29/t12910685285y2d9rrawfxdxng.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 «
2 88 2 94 3 90 1 73 1 68 2 80 2 86 2 86 3 91 1 79 3 96 2 92 1 72 2 96 2 70 2 86 1 87 3 88 2 79 1 90 1 95 1 85 2 90 3 115 2 84 2 79 2 94 2 97 2 86 3 111 2 87 2 98 2 87 1 68 2 88 2 82 3 111 1 75 2 94 1 95 2 80 2 95 2 68 2 94 3 88 1 84 3 88 1 84 2 101 2 98 1 78 3 109 1 102 1 81 1 97 2 75 2 97 1 101 1 101 2 95 2 95 2 95 2 90 3 107 2 92 1 86 1 70 2 95 2 96 2 91 3 87 2 92 2 97 3 102 1 91 2 68 1 88 2 97 2 90 2 101 2 94 3 101 3 109 2 100 2 103 2 94 2 97 2 85 2 75 1 77 1 87 1 78 3 108 2 97 2 105 2 106 2 107 1 95 3 107 2 115 2 101 1 85 2 90 3 115 2 95 1 97 1 112 1 97 1 77 2 90 2 94 3 103 2 77 2 98 2 90 3 111 1 77 3 88 1 75 2 92 2 78 2 106 1 80 2 87 1 92 3 111 2 86 2 85 1 90 3 101 2 94 1 86 1 86 1 90 1 75 2 86 3 91 2 97 2 91 1 70 2 98 1 96 1 95 2 100 2 95 2 97 2 97 3 92 3 115 3 88 2 87 2 100 2 98 1 102 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 time16 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
MVRBIQ0 ~ WISCRY7V
means20-0.3330.5000.667111-10.75-0.5-0.667-1-1-0.6-0.75-0.667-0.333-0.333-10-0.667-0.5-0.333-0.1430.5-0.20.200-0.364-0.2-0.250


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
WISCRY7V 3529.9520.8562.5010
Residuals11940.7190.342


Tukey Honest Significant Difference Comparisons
difflwruprp adj
101-1000-1.5891.5891
102-100-0.333-2.2141.5471
103-1000.5-1.6032.6031
105-1000-2.662.661
106-1000-2.1032.1031
107-1000.667-1.2142.5471
108-1001-1.663.661
109-1001-1.1033.1030.996
111-1001-0.7592.7590.949
112-100-1-3.661.661
115-1000.75-1.0092.5090.999
68-100-0.5-2.2591.2591
70-100-0.667-2.5471.2141
72-100-1-3.661.661
73-100-1-3.661.661
75-100-0.6-2.2821.0821
77-100-0.75-2.5091.0090.999
78-100-0.667-2.5471.2141
79-100-0.333-2.2141.5471
80-100-0.333-2.2141.5471
81-100-1-3.661.661
82-1000-2.662.661
84-100-0.667-2.5471.2141
85-100-0.5-2.2591.2591
86-100-0.333-1.8691.2021
87-100-0.143-1.7321.4471
88-1000.5-1.0592.0591
90-100-0.2-1.7161.3161
91-1000.2-1.4821.8821
92-1000-1.6291.6291
94-1000-1.5591.5591
95-100-0.364-1.8641.1371
96-100-0.2-1.8821.4821
97-100-0.25-1.7371.2371
98-1000-1.6821.6821
102-101-0.333-1.9231.2561
103-1010.5-1.3472.3471
105-1010-2.4622.4621
106-1010-1.8471.8471
107-1010.667-0.9232.2561
108-1011-1.4623.4621
109-1011-0.8472.8470.972
111-1011-0.4442.4440.691
112-101-1-3.4621.4621
115-1010.75-0.6942.1940.984
68-101-0.5-1.9440.9441
70-101-0.667-2.2560.9231
72-101-1-3.4621.4621
73-101-1-3.4621.4621
75-101-0.6-1.9490.7490.999
77-101-0.75-2.1940.6940.984
78-101-0.667-2.2560.9231
79-101-0.333-1.9231.2561
80-101-0.333-1.9231.2561
81-101-1-3.4621.4621
82-1010-2.4622.4621
84-101-0.667-2.2560.9231
85-101-0.5-1.9440.9441
86-101-0.333-1.4940.8271
87-101-0.143-1.3741.0881
88-1010.5-0.6921.6921
90-101-0.2-1.3350.9351
91-1010.2-1.1491.5491
92-1010-1.2811.2811
94-1010-1.1921.1921
95-101-0.364-1.4770.751
96-101-0.2-1.5491.1491
97-101-0.25-1.3450.8451
98-1010-1.3491.3491
103-1020.833-1.2692.9361
105-1020.333-2.3262.9931
106-1020.333-1.7692.4361
107-1021-0.8812.8810.978
108-1021.333-1.3263.9930.99
109-1021.333-0.7693.4360.843
111-1021.333-0.4263.0930.491
112-102-0.667-3.3261.9931
115-1021.083-0.6762.8430.88
68-102-0.167-1.9261.5931
70-102-0.333-2.2141.5471
72-102-0.667-3.3261.9931
73-102-0.667-3.3261.9931
75-102-0.267-1.9491.4151
77-102-0.417-2.1761.3431
78-102-0.333-2.2141.5471
79-1020-1.8811.8811
80-1020-1.8811.8811
81-102-0.667-3.3261.9931
82-1020.333-2.3262.9931
84-102-0.333-2.2141.5471
85-102-0.167-1.9261.5931
86-1020-1.5361.5361
87-1020.19-1.3991.781
88-1020.833-0.7262.3930.976
90-1020.133-1.3831.651
91-1020.533-1.1492.2151
92-1020.333-1.2951.9621
94-1020.333-1.2261.8931
95-102-0.03-1.5311.471
96-1020.133-1.5491.8151
97-1020.083-1.4031.571
98-1020.333-1.3492.0151
105-103-0.5-3.3212.3211
106-103-0.5-2.8031.8031
107-1030.167-1.9362.2691
108-1030.5-2.3213.3211
109-1030.5-1.8032.8031
111-1030.5-1.4952.4951
112-103-1.5-4.3211.3210.978
115-1030.25-1.7452.2451
68-103-1-2.9950.9950.99
70-103-1.167-3.2690.9360.962
72-103-1.5-4.3211.3210.978
73-103-1.5-4.3211.3210.978
75-103-1.1-3.0270.8270.946
77-103-1.25-3.2450.7450.859
78-103-1.167-3.2690.9360.962
79-103-0.833-2.9361.2691
80-103-0.833-2.9361.2691
81-103-1.5-4.3211.3210.978
82-103-0.5-3.3212.3211
84-103-1.167-3.2690.9360.962
85-103-1-2.9950.9950.99
86-103-0.833-2.6340.9670.997
87-103-0.643-2.491.2041
88-1030-1.8211.8211
90-103-0.7-2.4841.0841
91-103-0.3-2.2271.6271
92-103-0.5-2.3811.3811
94-103-0.5-2.3211.3211
95-103-0.864-2.6340.9070.994
96-103-0.7-2.6271.2271
97-103-0.75-2.5091.0090.999
98-103-0.5-2.4271.4271
106-1050-2.8212.8211
107-1050.667-1.9933.3261
108-1051-2.2574.2571
109-1051-1.8213.8211
111-1051-1.5753.5751
112-105-1-4.2572.2571
115-1050.75-1.8253.3251
68-105-0.5-3.0752.0751
70-105-0.667-3.3261.9931
72-105-1-4.2572.2571
73-105-1-4.2572.2571
75-105-0.6-3.1231.9231
77-105-0.75-3.3251.8251
78-105-0.667-3.3261.9931
79-105-0.333-2.9932.3261
80-105-0.333-2.9932.3261
81-105-1-4.2572.2571
82-1050-3.2573.2571
84-105-0.667-3.3261.9931
85-105-0.5-3.0752.0751
86-105-0.333-2.7612.0951
87-105-0.143-2.6052.321
88-1050.5-1.9432.9431
90-105-0.2-2.6162.2161
91-1050.2-2.3232.7231
92-1050-2.4882.4881
94-1050-2.4432.4431
95-105-0.364-2.7692.0421
96-105-0.2-2.7232.3231
97-105-0.25-2.6472.1471
98-1050-2.5232.5231
107-1060.667-1.4362.7691
108-1061-1.8213.8211
109-1061-1.3033.3030.999
111-1061-0.9952.9950.99
112-106-1-3.8211.8211
115-1060.75-1.2452.7451
68-106-0.5-2.4951.4951
70-106-0.667-2.7691.4361
72-106-1-3.8211.8211
73-106-1-3.8211.8211
75-106-0.6-2.5271.3271
77-106-0.75-2.7451.2451
78-106-0.667-2.7691.4361
79-106-0.333-2.4361.7691
80-106-0.333-2.4361.7691
81-106-1-3.8211.8211
82-1060-2.8212.8211
84-106-0.667-2.7691.4361
85-106-0.5-2.4951.4951
86-106-0.333-2.1341.4671
87-106-0.143-1.991.7041
88-1060.5-1.3212.3211
90-106-0.2-1.9841.5841
91-1060.2-1.7272.1271
92-1060-1.8811.8811
94-1060-1.8211.8211
95-106-0.364-2.1341.4071
96-106-0.2-2.1271.7271
97-106-0.25-2.0091.5091
98-1060-1.9271.9271
108-1070.333-2.3262.9931
109-1070.333-1.7692.4361
111-1070.333-1.4262.0931
112-107-1.667-4.3260.9930.859
115-1070.083-1.6761.8431
68-107-1.167-2.9260.5930.774
70-107-1.333-3.2140.5470.642
72-107-1.667-4.3260.9930.859
73-107-1.667-4.3260.9930.859
75-107-1.267-2.9490.4150.506
77-107-1.417-3.1760.3430.354
78-107-1.333-3.2140.5470.642
79-107-1-2.8810.8810.978
80-107-1-2.8810.8810.978
81-107-1.667-4.3260.9930.859
82-107-0.667-3.3261.9931
84-107-1.333-3.2140.5470.642
85-107-1.167-2.9260.5930.774
86-107-1-2.5360.5360.804
87-107-0.81-2.3990.780.988
88-107-0.167-1.7261.3931
90-107-0.867-2.3830.650.945
91-107-0.467-2.1491.2151
92-107-0.667-2.2950.9621
94-107-0.667-2.2260.8930.999
95-107-1.03-2.5310.470.708
96-107-0.867-2.5490.8150.986
97-107-0.917-2.4030.570.879
98-107-0.667-2.3491.0151
109-1080-2.8212.8211
111-1080-2.5752.5751
112-108-2-5.2571.2570.884
115-108-0.25-2.8252.3251
68-108-1.5-4.0751.0750.932
70-108-1.667-4.3260.9930.859
72-108-2-5.2571.2570.884
73-108-2-5.2571.2570.884
75-108-1.6-4.1230.9230.843
77-108-1.75-4.3250.8250.729
78-108-1.667-4.3260.9930.859
79-108-1.333-3.9931.3260.99
80-108-1.333-3.9931.3260.99
81-108-2-5.2571.2570.884
82-108-1-4.2572.2571
84-108-1.667-4.3260.9930.859
85-108-1.5-4.0751.0750.932
86-108-1.333-3.7611.0950.966
87-108-1.143-3.6051.320.997
88-108-0.5-2.9431.9431
90-108-1.2-3.6161.2160.992
91-108-0.8-3.3231.7231
92-108-1-3.4881.4881
94-108-1-3.4431.4431
95-108-1.364-3.7691.0420.95
96-108-1.2-3.7231.3230.996
97-108-1.25-3.6471.1470.983
98-108-1-3.5231.5231
111-1090-1.9951.9951
112-109-2-4.8210.8210.642
115-109-0.25-2.2451.7451
68-109-1.5-3.4950.4950.509
70-109-1.667-3.7690.4360.389
72-109-2-4.8210.8210.642
73-109-2-4.8210.8210.642
75-109-1.6-3.5270.3270.29
77-109-1.75-3.7450.2450.191
78-109-1.667-3.7690.4360.389
79-109-1.333-3.4360.7690.843
80-109-1.333-3.4360.7690.843
81-109-2-4.8210.8210.642
82-109-1-3.8211.8211
84-109-1.667-3.7690.4360.389
85-109-1.5-3.4950.4950.509
86-109-1.333-3.1340.4670.545
87-109-1.143-2.990.7040.874
88-109-0.5-2.3211.3211
90-109-1.2-2.9840.5840.748
91-109-0.8-2.7271.1271
92-109-1-2.8810.8810.978
94-109-1-2.8210.8210.966
95-109-1.364-3.1340.4070.454
96-109-1.2-3.1270.7270.867
97-109-1.25-3.0090.5090.638
98-109-1-2.9270.9270.984
112-111-2-4.5750.5750.435
115-111-0.25-1.8791.3791
68-111-1.5-3.1290.1290.123
70-111-1.667-3.4260.0930.092
72-111-2-4.5750.5750.435
73-111-2-4.5750.5750.435
75-111-1.6-3.145-0.0550.032
77-111-1.75-3.379-0.1210.019
78-111-1.667-3.4260.0930.092
79-111-1.333-3.0930.4260.491
80-111-1.333-3.0930.4260.491
81-111-2-4.5750.5750.435
82-111-1-3.5751.5751
84-111-1.667-3.4260.0930.092
85-111-1.5-3.1290.1290.123
86-111-1.333-2.7170.0510.077
87-111-1.143-2.5870.3010.392
88-111-0.5-1.910.911
90-111-1.2-2.5630.1630.185
91-111-0.8-2.3450.7450.985
92-111-1-2.4870.4870.748
94-111-1-2.410.410.642
95-111-1.364-2.708-0.0190.042
96-111-1.2-2.7450.3450.435
97-111-1.25-2.580.080.1
98-111-1-2.5450.5450.813
115-1121.75-0.8254.3250.729
68-1120.5-2.0753.0751
70-1120.333-2.3262.9931
72-1120-3.2573.2571
73-1120-3.2573.2571
75-1120.4-2.1232.9231
77-1120.25-2.3252.8251
78-1120.333-2.3262.9931
79-1120.667-1.9933.3261
80-1120.667-1.9933.3261
81-1120-3.2573.2571
82-1121-2.2574.2571
84-1120.333-2.3262.9931
85-1120.5-2.0753.0751
86-1120.667-1.7613.0951
87-1120.857-1.6053.321
88-1121.5-0.9433.9430.884
90-1120.8-1.6163.2161
91-1121.2-1.3233.7230.996
92-1121-1.4883.4881
94-1121-1.4433.4431
95-1120.636-1.7693.0421
96-1120.8-1.7233.3231
97-1120.75-1.6473.1471
98-1121-1.5233.5231
68-115-1.25-2.8790.3790.462
70-115-1.417-3.1760.3430.354
72-115-1.75-4.3250.8250.729
73-115-1.75-4.3250.8250.729
75-115-1.35-2.8950.1950.197
77-115-1.5-3.1290.1290.123
78-115-1.417-3.1760.3430.354
79-115-1.083-2.8430.6760.88
80-115-1.083-2.8430.6760.88
81-115-1.75-4.3250.8250.729
82-115-0.75-3.3251.8251
84-115-1.417-3.1760.3430.354
85-115-1.25-2.8790.3790.462
86-115-1.083-2.4670.3010.417
87-115-0.893-2.3370.5510.875
88-115-0.25-1.661.161
90-115-0.95-2.3130.4130.678
91-115-0.55-2.0950.9951
92-115-0.75-2.2370.7370.989
94-115-0.75-2.160.660.978
95-115-1.114-2.4580.2310.295
96-115-0.95-2.4950.5950.882
97-115-1-2.330.330.509
98-115-0.75-2.2950.7950.994
70-68-0.167-1.9261.5931
72-68-0.5-3.0752.0751
73-68-0.5-3.0752.0751
75-68-0.1-1.6451.4451
77-68-0.25-1.8791.3791
78-68-0.167-1.9261.5931
79-680.167-1.5931.9261
80-680.167-1.5931.9261
81-68-0.5-3.0752.0751
82-680.5-2.0753.0751
84-68-0.167-1.9261.5931
85-680-1.6291.6291
86-680.167-1.2171.5511
87-680.357-1.0871.8011
88-681-0.412.410.642
90-680.3-1.0631.6631
91-680.7-0.8452.2450.998
92-680.5-0.9871.9871
94-680.5-0.911.911
95-680.136-1.2081.4811
96-680.3-1.2451.8451
97-680.25-1.081.581
98-680.5-1.0452.0451
72-70-0.333-2.9932.3261
73-70-0.333-2.9932.3261
75-700.067-1.6151.7491
77-70-0.083-1.8431.6761
78-700-1.8811.8811
79-700.333-1.5472.2141
80-700.333-1.5472.2141
81-70-0.333-2.9932.3261
82-700.667-1.9933.3261
84-700-1.8811.8811
85-700.167-1.5931.9261
86-700.333-1.2021.8691
87-700.524-1.0662.1131
88-701.167-0.3932.7260.521
90-700.467-1.051.9831
91-700.867-0.8152.5490.986
92-700.667-0.9622.2951
94-700.667-0.8932.2260.999
95-700.303-1.1971.8031
96-700.467-1.2152.1491
97-700.417-1.071.9031
98-700.667-1.0152.3491
73-720-3.2573.2571
75-720.4-2.1232.9231
77-720.25-2.3252.8251
78-720.333-2.3262.9931
79-720.667-1.9933.3261
80-720.667-1.9933.3261
81-720-3.2573.2571
82-721-2.2574.2571
84-720.333-2.3262.9931
85-720.5-2.0753.0751
86-720.667-1.7613.0951
87-720.857-1.6053.321
88-721.5-0.9433.9430.884
90-720.8-1.6163.2161
91-721.2-1.3233.7230.996
92-721-1.4883.4881
94-721-1.4433.4431
95-720.636-1.7693.0421
96-720.8-1.7233.3231
97-720.75-1.6473.1471
98-721-1.5233.5231
75-730.4-2.1232.9231
77-730.25-2.3252.8251
78-730.333-2.3262.9931
79-730.667-1.9933.3261
80-730.667-1.9933.3261
81-730-3.2573.2571
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88-731.5-0.9433.9430.884
90-730.8-1.6163.2161
91-731.2-1.3233.7230.996
92-731-1.4883.4881
94-731-1.4433.4431
95-730.636-1.7693.0421
96-730.8-1.7233.3231
97-730.75-1.6473.1471
98-731-1.5233.5231
77-75-0.15-1.6951.3951
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80-750.267-1.4151.9491
81-75-0.4-2.9232.1231
82-750.6-1.9233.1231
84-75-0.067-1.7491.6151
85-750.1-1.4451.6451
86-750.267-1.0181.5511
87-750.457-0.8921.8061
88-751.1-0.2132.4130.273
90-750.4-0.8621.6621
91-750.8-0.6572.2570.966
92-750.6-0.7951.9950.999
94-750.6-0.7131.9130.998
95-750.236-1.0061.4791
96-750.4-1.0571.8571
97-750.35-0.8761.5761
98-750.6-0.8572.0571
78-770.083-1.6761.8431
79-770.417-1.3432.1761
80-770.417-1.3432.1761
81-77-0.25-2.8252.3251
82-770.75-1.8253.3251
84-770.083-1.6761.8431
85-770.25-1.3791.8791
86-770.417-0.9671.8011
87-770.607-0.8372.0511
88-771.25-0.162.660.175
90-770.55-0.8131.9131
91-770.95-0.5952.4950.882
92-770.75-0.7372.2370.989
94-770.75-0.662.160.978
95-770.386-0.9581.7311
96-770.55-0.9952.0951
97-770.5-0.831.831
98-770.75-0.7952.2950.994
79-780.333-1.5472.2141
80-780.333-1.5472.2141
81-78-0.333-2.9932.3261
82-780.667-1.9933.3261
84-780-1.8811.8811
85-780.167-1.5931.9261
86-780.333-1.2021.8691
87-780.524-1.0662.1131
88-781.167-0.3932.7260.521
90-780.467-1.051.9831
91-780.867-0.8152.5490.986
92-780.667-0.9622.2951
94-780.667-0.8932.2260.999
95-780.303-1.1971.8031
96-780.467-1.2152.1491
97-780.417-1.071.9031
98-780.667-1.0152.3491
80-790-1.8811.8811
81-79-0.667-3.3261.9931
82-790.333-2.3262.9931
84-79-0.333-2.2141.5471
85-79-0.167-1.9261.5931
86-790-1.5361.5361
87-790.19-1.3991.781
88-790.833-0.7262.3930.976
90-790.133-1.3831.651
91-790.533-1.1492.2151
92-790.333-1.2951.9621
94-790.333-1.2261.8931
95-79-0.03-1.5311.471
96-790.133-1.5491.8151
97-790.083-1.4031.571
98-790.333-1.3492.0151
81-80-0.667-3.3261.9931
82-800.333-2.3262.9931
84-80-0.333-2.2141.5471
85-80-0.167-1.9261.5931
86-800-1.5361.5361
87-800.19-1.3991.781
88-800.833-0.7262.3930.976
90-800.133-1.3831.651
91-800.533-1.1492.2151
92-800.333-1.2951.9621
94-800.333-1.2261.8931
95-80-0.03-1.5311.471
96-800.133-1.5491.8151
97-800.083-1.4031.571
98-800.333-1.3492.0151
82-811-2.2574.2571
84-810.333-2.3262.9931
85-810.5-2.0753.0751
86-810.667-1.7613.0951
87-810.857-1.6053.321
88-811.5-0.9433.9430.884
90-810.8-1.6163.2161
91-811.2-1.3233.7230.996
92-811-1.4883.4881
94-811-1.4433.4431
95-810.636-1.7693.0421
96-810.8-1.7233.3231
97-810.75-1.6473.1471
98-811-1.5233.5231
84-82-0.667-3.3261.9931
85-82-0.5-3.0752.0751
86-82-0.333-2.7612.0951
87-82-0.143-2.6052.321
88-820.5-1.9432.9431
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91-820.2-2.3232.7231
92-820-2.4882.4881
94-820-2.4432.4431
95-82-0.364-2.7692.0421
96-82-0.2-2.7232.3231
97-82-0.25-2.6472.1471
98-820-2.5232.5231
85-840.167-1.5931.9261
86-840.333-1.2021.8691
87-840.524-1.0662.1131
88-841.167-0.3932.7260.521
90-840.467-1.051.9831
91-840.867-0.8152.5490.986
92-840.667-0.9622.2951
94-840.667-0.8932.2260.999
95-840.303-1.1971.8031
96-840.467-1.2152.1491
97-840.417-1.071.9031
98-840.667-1.0152.3491
86-850.167-1.2171.5511
87-850.357-1.0871.8011
88-851-0.412.410.642
90-850.3-1.0631.6631
91-850.7-0.8452.2450.998
92-850.5-0.9871.9871
94-850.5-0.911.911
95-850.136-1.2081.4811
96-850.3-1.2451.8451
97-850.25-1.081.581
98-850.5-1.0452.0451
87-860.19-0.971.3511
88-860.833-0.2861.9530.532
90-860.133-0.9251.1921
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92-860.333-0.8811.5471
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95-86-0.03-1.0661.0051
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98-860.333-0.9511.6181
88-870.643-0.5491.8350.973
90-87-0.057-1.1921.0781
91-870.343-1.0061.6921
92-870.143-1.1391.4241
94-870.143-1.0491.3351
95-87-0.221-1.3340.8931
96-87-0.057-1.4061.2921
97-87-0.107-1.2030.9881
98-870.143-1.2061.4921
90-88-0.7-1.7930.3930.829
91-88-0.3-1.6131.0131
92-88-0.5-1.7440.7441
94-88-0.5-1.6520.6520.999
95-88-0.864-1.9340.2070.349
96-88-0.7-2.0130.6130.977
97-88-0.75-1.8010.3010.629
98-88-0.5-1.8130.8131
91-900.4-0.8621.6621
92-900.2-0.9891.3891
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95-90-0.164-1.170.8431
96-900-1.2621.2621
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94-91-0.2-1.5131.1131
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98-960.2-1.2571.6571
98-970.25-0.9761.4761


Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group350.6460.931
119
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910685285y2d9rrawfxdxng/3bfsa1291068601.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910685285y2d9rrawfxdxng/3bfsa1291068601.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/29/t12910685285y2d9rrawfxdxng/4lo9d1291068601.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910685285y2d9rrawfxdxng/4lo9d1291068601.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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