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*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: Tue, 15 Dec 2009 05:30:54 -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/15/t1260880287ig74tgzroe4w1j1.htm/, Retrieved Tue, 15 Dec 2009 13:31:30 +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/15/t1260880287ig74tgzroe4w1j1.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 «

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 3 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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

ANOVA Model
RespVar ~ AgeGroup
means	2	0.286	0	0	0.5	0.333	0	0.5	0.667	-1	0.75	-0.5	-1	1	0	0.2	-0.25	0.333	-0.333	-0.667	-1	1	1	0.25	0.111	0	-0.571	-0.1	-0.4	0.333	-0.25	0	-0.4	0.333	0.4

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
AgeGroup	34	25.479	0.749	1.541	0.047
Residuals	116	56.415	0.486

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	0.286	-1.603	2.175	1
102-100	0	-2.235	2.235	1
103-100	0	-2.499	2.499	1
106-100	0.5	-1.999	2.999	1
107-100	0.333	-1.902	2.569	1
108-100	0	-3.161	3.161	1
109-100	0.5	-1.999	2.999	1
111-100	0.667	-1.569	2.902	1
112-100	-1	-4.161	2.161	1
115-100	0.75	-1.341	2.841	1
68-100	-0.5	-2.591	1.591	1
70-100	-1	-3.235	1.235	0.998
72-100	1	-2.161	4.161	1
73-100	0	-3.161	3.161	1
75-100	0.2	-1.799	2.199	1
77-100	-0.25	-2.341	1.841	1
78-100	0.333	-1.902	2.569	1
79-100	-0.333	-2.569	1.902	1
80-100	-0.667	-2.902	1.569	1
81-100	-1	-4.161	2.161	1
82-100	1	-2.161	4.161	1
84-100	1	-1.499	3.499	1
85-100	0.25	-1.841	2.341	1
86-100	0.111	-1.714	1.936	1
87-100	0	-1.889	1.889	1
88-100	-0.571	-2.461	1.318	1
90-100	-0.1	-1.902	1.702	1
91-100	-0.4	-2.399	1.599	1
92-100	0.333	-1.602	2.269	1
94-100	-0.25	-2.103	1.603	1
95-100	0	-1.783	1.783	1
96-100	-0.4	-2.399	1.599	1
97-100	0.333	-1.434	2.1	1
98-100	0.4	-1.599	2.399	1
102-101	-0.286	-2.175	1.603	1
103-101	-0.286	-2.481	1.909	1
106-101	0.214	-1.981	2.409	1
107-101	0.048	-1.842	1.937	1
108-101	-0.286	-3.212	2.641	1
109-101	0.214	-1.981	2.409	1
111-101	0.381	-1.508	2.27	1
112-101	-1.286	-4.212	1.641	0.999
115-101	0.464	-1.252	2.18	1
68-101	-0.786	-2.502	0.93	0.997
70-101	-1.286	-3.175	0.603	0.72
72-101	0.714	-2.212	3.641	1
73-101	-0.286	-3.212	2.641	1
75-101	-0.086	-1.689	1.517	1
77-101	-0.536	-2.252	1.18	1
78-101	0.048	-1.842	1.937	1
79-101	-0.619	-2.508	1.27	1
80-101	-0.952	-2.842	0.937	0.988
81-101	-1.286	-4.212	1.641	0.999
82-101	0.714	-2.212	3.641	1
84-101	0.714	-1.481	2.909	1
85-101	-0.036	-1.752	1.68	1
86-101	-0.175	-1.554	1.205	1
87-101	-0.286	-1.749	1.178	1
88-101	-0.857	-2.32	0.606	0.924
90-101	-0.386	-1.735	0.963	1
91-101	-0.686	-2.289	0.917	0.999
92-101	0.048	-1.475	1.571	1
94-101	-0.536	-1.953	0.881	1
95-101	-0.286	-1.609	1.038	1
96-101	-0.686	-2.289	0.917	0.999
97-101	0.048	-1.254	1.35	1
98-101	0.114	-1.489	1.717	1
103-102	0	-2.499	2.499	1
106-102	0.5	-1.999	2.999	1
107-102	0.333	-1.902	2.569	1
108-102	0	-3.161	3.161	1
109-102	0.5	-1.999	2.999	1
111-102	0.667	-1.569	2.902	1
112-102	-1	-4.161	2.161	1
115-102	0.75	-1.341	2.841	1
68-102	-0.5	-2.591	1.591	1
70-102	-1	-3.235	1.235	0.998
72-102	1	-2.161	4.161	1
73-102	0	-3.161	3.161	1
75-102	0.2	-1.799	2.199	1
77-102	-0.25	-2.341	1.841	1
78-102	0.333	-1.902	2.569	1
79-102	-0.333	-2.569	1.902	1
80-102	-0.667	-2.902	1.569	1
81-102	-1	-4.161	2.161	1
82-102	1	-2.161	4.161	1
84-102	1	-1.499	3.499	1
85-102	0.25	-1.841	2.341	1
86-102	0.111	-1.714	1.936	1
87-102	0	-1.889	1.889	1
88-102	-0.571	-2.461	1.318	1
90-102	-0.1	-1.902	1.702	1
91-102	-0.4	-2.399	1.599	1
92-102	0.333	-1.602	2.269	1
94-102	-0.25	-2.103	1.603	1
95-102	0	-1.783	1.783	1
96-102	-0.4	-2.399	1.599	1
97-102	0.333	-1.434	2.1	1
98-102	0.4	-1.599	2.399	1
106-103	0.5	-2.238	3.238	1
107-103	0.333	-2.166	2.832	1
108-103	0	-3.353	3.353	1
109-103	0.5	-2.238	3.238	1
111-103	0.667	-1.832	3.166	1
112-103	-1	-4.353	2.353	1
115-103	0.75	-1.621	3.121	1
68-103	-0.5	-2.871	1.871	1
70-103	-1	-3.499	1.499	1
72-103	1	-2.353	4.353	1
73-103	0	-3.353	3.353	1
75-103	0.2	-2.09	2.49	1
77-103	-0.25	-2.621	2.121	1
78-103	0.333	-2.166	2.832	1
79-103	-0.333	-2.832	2.166	1
80-103	-0.667	-3.166	1.832	1
81-103	-1	-4.353	2.353	1
82-103	1	-2.353	4.353	1
84-103	1	-1.738	3.738	1
85-103	0.25	-2.121	2.621	1
86-103	0.111	-2.029	2.251	1
87-103	0	-2.195	2.195	1
88-103	-0.571	-2.766	1.624	1
90-103	-0.1	-2.221	2.021	1
91-103	-0.4	-2.69	1.89	1
92-103	0.333	-1.902	2.569	1
94-103	-0.25	-2.414	1.914	1
95-103	0	-2.104	2.104	1
96-103	-0.4	-2.69	1.89	1
97-103	0.333	-1.758	2.424	1
98-103	0.4	-1.89	2.69	1
107-106	-0.167	-2.666	2.332	1
108-106	-0.5	-3.853	2.853	1
109-106	0	-2.738	2.738	1
111-106	0.167	-2.332	2.666	1
112-106	-1.5	-4.853	1.853	0.998
115-106	0.25	-2.121	2.621	1
68-106	-1	-3.371	1.371	0.999
70-106	-1.5	-3.999	0.999	0.902
72-106	0.5	-2.853	3.853	1
73-106	-0.5	-3.853	2.853	1
75-106	-0.3	-2.59	1.99	1
77-106	-0.75	-3.121	1.621	1
78-106	-0.167	-2.666	2.332	1
79-106	-0.833	-3.332	1.666	1
80-106	-1.167	-3.666	1.332	0.996
81-106	-1.5	-4.853	1.853	0.998
82-106	0.5	-2.853	3.853	1
84-106	0.5	-2.238	3.238	1
85-106	-0.25	-2.621	2.121	1
86-106	-0.389	-2.529	1.751	1
87-106	-0.5	-2.695	1.695	1
88-106	-1.071	-3.266	1.124	0.993
90-106	-0.6	-2.721	1.521	1
91-106	-0.9	-3.19	1.39	1
92-106	-0.167	-2.402	2.069	1
94-106	-0.75	-2.914	1.414	1
95-106	-0.5	-2.604	1.604	1
96-106	-0.9	-3.19	1.39	1
97-106	-0.167	-2.258	1.924	1
98-106	-0.1	-2.39	2.19	1
108-107	-0.333	-3.495	2.828	1
109-107	0.167	-2.332	2.666	1
111-107	0.333	-1.902	2.569	1
112-107	-1.333	-4.495	1.828	0.999
115-107	0.417	-1.674	2.508	1
68-107	-0.833	-2.924	1.258	1
70-107	-1.333	-3.569	0.902	0.908
72-107	0.667	-2.495	3.828	1
73-107	-0.333	-3.495	2.828	1
75-107	-0.133	-2.133	1.866	1
77-107	-0.583	-2.674	1.508	1
78-107	0	-2.235	2.235	1
79-107	-0.667	-2.902	1.569	1
80-107	-1	-3.235	1.235	0.998
81-107	-1.333	-4.495	1.828	0.999
82-107	0.667	-2.495	3.828	1
84-107	0.667	-1.832	3.166	1
85-107	-0.083	-2.174	2.008	1
86-107	-0.222	-2.047	1.603	1
87-107	-0.333	-2.222	1.556	1
88-107	-0.905	-2.794	0.984	0.995
90-107	-0.433	-2.235	1.369	1
91-107	-0.733	-2.733	1.266	1
92-107	0	-1.936	1.936	1
94-107	-0.583	-2.437	1.27	1
95-107	-0.333	-2.116	1.45	1
96-107	-0.733	-2.733	1.266	1
97-107	0	-1.767	1.767	1
98-107	0.067	-1.933	2.066	1
109-108	0.5	-2.853	3.853	1
111-108	0.667	-2.495	3.828	1
112-108	-1	-4.872	2.872	1
115-108	0.75	-2.311	3.811	1
68-108	-0.5	-3.561	2.561	1
70-108	-1	-4.161	2.161	1
72-108	1	-2.872	4.872	1
73-108	0	-3.872	3.872	1
75-108	0.2	-2.799	3.199	1
77-108	-0.25	-3.311	2.811	1
78-108	0.333	-2.828	3.495	1
79-108	-0.333	-3.495	2.828	1
80-108	-0.667	-3.828	2.495	1
81-108	-1	-4.872	2.872	1
82-108	1	-2.872	4.872	1
84-108	1	-2.353	4.353	1
85-108	0.25	-2.811	3.311	1
86-108	0.111	-2.775	2.997	1
87-108	0	-2.927	2.927	1
88-108	-0.571	-3.498	2.355	1
90-108	-0.1	-2.971	2.771	1
91-108	-0.4	-3.399	2.599	1
92-108	0.333	-2.624	3.29	1
94-108	-0.25	-3.154	2.654	1
95-108	0	-2.859	2.859	1
96-108	-0.4	-3.399	2.599	1
97-108	0.333	-2.516	3.183	1
98-108	0.4	-2.599	3.399	1
111-109	0.167	-2.332	2.666	1
112-109	-1.5	-4.853	1.853	0.998
115-109	0.25	-2.121	2.621	1
68-109	-1	-3.371	1.371	0.999
70-109	-1.5	-3.999	0.999	0.902
72-109	0.5	-2.853	3.853	1
73-109	-0.5	-3.853	2.853	1
75-109	-0.3	-2.59	1.99	1
77-109	-0.75	-3.121	1.621	1
78-109	-0.167	-2.666	2.332	1
79-109	-0.833	-3.332	1.666	1
80-109	-1.167	-3.666	1.332	0.996
81-109	-1.5	-4.853	1.853	0.998
82-109	0.5	-2.853	3.853	1
84-109	0.5	-2.238	3.238	1
85-109	-0.25	-2.621	2.121	1
86-109	-0.389	-2.529	1.751	1
87-109	-0.5	-2.695	1.695	1
88-109	-1.071	-3.266	1.124	0.993
90-109	-0.6	-2.721	1.521	1
91-109	-0.9	-3.19	1.39	1
92-109	-0.167	-2.402	2.069	1
94-109	-0.75	-2.914	1.414	1
95-109	-0.5	-2.604	1.604	1
96-109	-0.9	-3.19	1.39	1
97-109	-0.167	-2.258	1.924	1
98-109	-0.1	-2.39	2.19	1
112-111	-1.667	-4.828	1.495	0.978
115-111	0.083	-2.008	2.174	1
68-111	-1.167	-3.258	0.924	0.956
70-111	-1.667	-3.902	0.569	0.523
72-111	0.333	-2.828	3.495	1
73-111	-0.667	-3.828	2.495	1
75-111	-0.467	-2.466	1.533	1
77-111	-0.917	-3.008	1.174	0.999
78-111	-0.333	-2.569	1.902	1
79-111	-1	-3.235	1.235	0.998
80-111	-1.333	-3.569	0.902	0.908
81-111	-1.667	-4.828	1.495	0.978
82-111	0.333	-2.828	3.495	1
84-111	0.333	-2.166	2.832	1
85-111	-0.417	-2.508	1.674	1
86-111	-0.556	-2.381	1.27	1
87-111	-0.667	-2.556	1.222	1
88-111	-1.238	-3.127	0.651	0.787
90-111	-0.767	-2.569	1.035	0.999
91-111	-1.067	-3.066	0.933	0.975
92-111	-0.333	-2.269	1.602	1
94-111	-0.917	-2.77	0.937	0.991
95-111	-0.667	-2.45	1.116	1
96-111	-1.067	-3.066	0.933	0.975
97-111	-0.333	-2.1	1.434	1
98-111	-0.267	-2.266	1.733	1
115-112	1.75	-1.311	4.811	0.942
68-112	0.5	-2.561	3.561	1
70-112	0	-3.161	3.161	1
72-112	2	-1.872	5.872	0.984
73-112	1	-2.872	4.872	1
75-112	1.2	-1.799	4.199	1
77-112	0.75	-2.311	3.811	1
78-112	1.333	-1.828	4.495	0.999
79-112	0.667	-2.495	3.828	1
80-112	0.333	-2.828	3.495	1
81-112	0	-3.872	3.872	1
82-112	2	-1.872	5.872	0.984
84-112	2	-1.353	5.353	0.908
85-112	1.25	-1.811	4.311	1
86-112	1.111	-1.775	3.997	1
87-112	1	-1.927	3.927	1
88-112	0.429	-2.498	3.355	1
90-112	0.9	-1.971	3.771	1
91-112	0.6	-2.399	3.599	1
92-112	1.333	-1.624	4.29	0.998
94-112	0.75	-2.154	3.654	1
95-112	1	-1.859	3.859	1
96-112	0.6	-2.399	3.599	1
97-112	1.333	-1.516	4.183	0.996
98-112	1.4	-1.599	4.399	0.996
68-115	-1.25	-3.186	0.686	0.811
70-115	-1.75	-3.841	0.341	0.271
72-115	0.25	-2.811	3.311	1
73-115	-0.75	-3.811	2.311	1
75-115	-0.55	-2.386	1.286	1
77-115	-1	-2.936	0.936	0.984
78-115	-0.417	-2.508	1.674	1
79-115	-1.083	-3.174	1.008	0.983
80-115	-1.417	-3.508	0.674	0.728
81-115	-1.75	-4.811	1.311	0.942
82-115	0.25	-2.811	3.311	1
84-115	0.25	-2.121	2.621	1
85-115	-0.5	-2.436	1.436	1
86-115	-0.639	-2.284	1.006	1
87-115	-0.75	-2.466	0.966	0.999
88-115	-1.321	-3.037	0.394	0.449
90-115	-0.85	-2.47	0.77	0.98
91-115	-1.15	-2.986	0.686	0.854
92-115	-0.417	-2.184	1.35	1
94-115	-1	-2.676	0.676	0.908
95-115	-0.75	-2.348	0.848	0.996
96-115	-1.15	-2.986	0.686	0.854
97-115	-0.417	-1.997	1.164	1
98-115	-0.35	-2.186	1.486	1
70-68	-0.5	-2.591	1.591	1
72-68	1.5	-1.561	4.561	0.992
73-68	0.5	-2.561	3.561	1
75-68	0.7	-1.136	2.536	1
77-68	0.25	-1.686	2.186	1
78-68	0.833	-1.258	2.924	1
79-68	0.167	-1.924	2.258	1
80-68	-0.167	-2.258	1.924	1
81-68	-0.5	-3.561	2.561	1
82-68	1.5	-1.561	4.561	0.992
84-68	1.5	-0.871	3.871	0.841
85-68	0.75	-1.186	2.686	1
86-68	0.611	-1.034	2.256	1
87-68	0.5	-1.216	2.216	1
88-68	-0.071	-1.787	1.644	1
90-68	0.4	-1.22	2.02	1
91-68	0.1	-1.736	1.936	1
92-68	0.833	-0.934	2.6	0.996
94-68	0.25	-1.426	1.926	1
95-68	0.5	-1.098	2.098	1
96-68	0.1	-1.736	1.936	1
97-68	0.833	-0.747	2.414	0.978
98-68	0.9	-0.936	2.736	0.992
72-70	2	-1.161	5.161	0.841
73-70	1	-2.161	4.161	1
75-70	1.2	-0.799	3.199	0.902
77-70	0.75	-1.341	2.841	1
78-70	1.333	-0.902	3.569	0.908
79-70	0.667	-1.569	2.902	1
80-70	0.333	-1.902	2.569	1
81-70	0	-3.161	3.161	1
82-70	2	-1.161	5.161	0.841
84-70	2	-0.499	4.499	0.363
85-70	1.25	-0.841	3.341	0.906
86-70	1.111	-0.714	2.936	0.888
87-70	1	-0.889	2.889	0.977
88-70	0.429	-1.461	2.318	1
90-70	0.9	-0.902	2.702	0.99
91-70	0.6	-1.399	2.599	1
92-70	1.333	-0.602	3.269	0.696
94-70	0.75	-1.103	2.603	1
95-70	1	-0.783	2.783	0.953
96-70	0.6	-1.399	2.599	1
97-70	1.333	-0.434	3.1	0.496
98-70	1.4	-0.599	3.399	0.662
73-72	-1	-4.872	2.872	1
75-72	-0.8	-3.799	2.199	1
77-72	-1.25	-4.311	1.811	1
78-72	-0.667	-3.828	2.495	1
79-72	-1.333	-4.495	1.828	0.999
80-72	-1.667	-4.828	1.495	0.978
81-72	-2	-5.872	1.872	0.984
82-72	0	-3.872	3.872	1
84-72	0	-3.353	3.353	1
85-72	-0.75	-3.811	2.311	1
86-72	-0.889	-3.775	1.997	1
87-72	-1	-3.927	1.927	1
88-72	-1.571	-4.498	1.355	0.973
90-72	-1.1	-3.971	1.771	1
91-72	-1.4	-4.399	1.599	0.996
92-72	-0.667	-3.624	2.29	1
94-72	-1.25	-4.154	1.654	0.999
95-72	-1	-3.859	1.859	1
96-72	-1.4	-4.399	1.599	0.996
97-72	-0.667	-3.516	2.183	1
98-72	-0.6	-3.599	2.399	1
75-73	0.2	-2.799	3.199	1
77-73	-0.25	-3.311	2.811	1
78-73	0.333	-2.828	3.495	1
79-73	-0.333	-3.495	2.828	1
80-73	-0.667	-3.828	2.495	1
81-73	-1	-4.872	2.872	1
82-73	1	-2.872	4.872	1
84-73	1	-2.353	4.353	1
85-73	0.25	-2.811	3.311	1
86-73	0.111	-2.775	2.997	1
87-73	0	-2.927	2.927	1
88-73	-0.571	-3.498	2.355	1
90-73	-0.1	-2.971	2.771	1
91-73	-0.4	-3.399	2.599	1
92-73	0.333	-2.624	3.29	1
94-73	-0.25	-3.154	2.654	1
95-73	0	-2.859	2.859	1
96-73	-0.4	-3.399	2.599	1
97-73	0.333	-2.516	3.183	1
98-73	0.4	-2.599	3.399	1
77-75	-0.45	-2.286	1.386	1
78-75	0.133	-1.866	2.133	1
79-75	-0.533	-2.533	1.466	1
80-75	-0.867	-2.866	1.133	0.999
81-75	-1.2	-4.199	1.799	1
82-75	0.8	-2.199	3.799	1
84-75	0.8	-1.49	3.09	1
85-75	0.05	-1.786	1.886	1
86-75	-0.089	-1.616	1.438	1
87-75	-0.2	-1.803	1.403	1
88-75	-0.771	-2.374	0.832	0.994
90-75	-0.3	-1.799	1.199	1
91-75	-0.6	-2.331	1.131	1
92-75	0.133	-1.524	1.791	1
94-75	-0.45	-2.011	1.111	1
95-75	-0.2	-1.677	1.277	1
96-75	-0.6	-2.331	1.131	1
97-75	0.133	-1.324	1.591	1
98-75	0.2	-1.531	1.931	1
78-77	0.583	-1.508	2.674	1
79-77	-0.083	-2.174	2.008	1
80-77	-0.417	-2.508	1.674	1
81-77	-0.75	-3.811	2.311	1
82-77	1.25	-1.811	4.311	1
84-77	1.25	-1.121	3.621	0.978
85-77	0.5	-1.436	2.436	1
86-77	0.361	-1.284	2.006	1
87-77	0.25	-1.466	1.966	1
88-77	-0.321	-2.037	1.394	1
90-77	0.15	-1.47	1.77	1
91-77	-0.15	-1.986	1.686	1
92-77	0.583	-1.184	2.35	1
94-77	0	-1.676	1.676	1
95-77	0.25	-1.348	1.848	1
96-77	-0.15	-1.986	1.686	1
97-77	0.583	-0.997	2.164	1
98-77	0.65	-1.186	2.486	1
79-78	-0.667	-2.902	1.569	1
80-78	-1	-3.235	1.235	0.998
81-78	-1.333	-4.495	1.828	0.999
82-78	0.667	-2.495	3.828	1
84-78	0.667	-1.832	3.166	1
85-78	-0.083	-2.174	2.008	1
86-78	-0.222	-2.047	1.603	1
87-78	-0.333	-2.222	1.556	1
88-78	-0.905	-2.794	0.984	0.995
90-78	-0.433	-2.235	1.369	1
91-78	-0.733	-2.733	1.266	1
92-78	0	-1.936	1.936	1
94-78	-0.583	-2.437	1.27	1
95-78	-0.333	-2.116	1.45	1
96-78	-0.733	-2.733	1.266	1
97-78	0	-1.767	1.767	1
98-78	0.067	-1.933	2.066	1
80-79	-0.333	-2.569	1.902	1
81-79	-0.667	-3.828	2.495	1
82-79	1.333	-1.828	4.495	0.999
84-79	1.333	-1.166	3.832	0.975
85-79	0.583	-1.508	2.674	1
86-79	0.444	-1.381	2.27	1
87-79	0.333	-1.556	2.222	1
88-79	-0.238	-2.127	1.651	1
90-79	0.233	-1.569	2.035	1
91-79	-0.067	-2.066	1.933	1
92-79	0.667	-1.269	2.602	1
94-79	0.083	-1.77	1.937	1
95-79	0.333	-1.45	2.116	1
96-79	-0.067	-2.066	1.933	1
97-79	0.667	-1.1	2.434	1
98-79	0.733	-1.266	2.733	1
81-80	-0.333	-3.495	2.828	1
82-80	1.667	-1.495	4.828	0.978
84-80	1.667	-0.832	4.166	0.757
85-80	0.917	-1.174	3.008	0.999
86-80	0.778	-1.047	2.603	0.999
87-80	0.667	-1.222	2.556	1
88-80	0.095	-1.794	1.984	1
90-80	0.567	-1.235	2.369	1
91-80	0.267	-1.733	2.266	1
92-80	1	-0.936	2.936	0.984
94-80	0.417	-1.437	2.27	1
95-80	0.667	-1.116	2.45	1
96-80	0.267	-1.733	2.266	1
97-80	1	-0.767	2.767	0.948
98-80	1.067	-0.933	3.066	0.975
82-81	2	-1.872	5.872	0.984
84-81	2	-1.353	5.353	0.908
85-81	1.25	-1.811	4.311	1
86-81	1.111	-1.775	3.997	1
87-81	1	-1.927	3.927	1
88-81	0.429	-2.498	3.355	1
90-81	0.9	-1.971	3.771	1
91-81	0.6	-2.399	3.599	1
92-81	1.333	-1.624	4.29	0.998
94-81	0.75	-2.154	3.654	1
95-81	1	-1.859	3.859	1
96-81	0.6	-2.399	3.599	1
97-81	1.333	-1.516	4.183	0.996
98-81	1.4	-1.599	4.399	0.996
84-82	0	-3.353	3.353	1
85-82	-0.75	-3.811	2.311	1
86-82	-0.889	-3.775	1.997	1
87-82	-1	-3.927	1.927	1
88-82	-1.571	-4.498	1.355	0.973
90-82	-1.1	-3.971	1.771	1
91-82	-1.4	-4.399	1.599	0.996
92-82	-0.667	-3.624	2.29	1
94-82	-1.25	-4.154	1.654	0.999
95-82	-1	-3.859	1.859	1
96-82	-1.4	-4.399	1.599	0.996
97-82	-0.667	-3.516	2.183	1
98-82	-0.6	-3.599	2.399	1
85-84	-0.75	-3.121	1.621	1
86-84	-0.889	-3.029	1.251	1
87-84	-1	-3.195	1.195	0.998
88-84	-1.571	-3.766	0.624	0.615
90-84	-1.1	-3.221	1.021	0.983
91-84	-1.4	-3.69	0.89	0.883
92-84	-0.667	-2.902	1.569	1
94-84	-1.25	-3.414	0.914	0.935
95-84	-1	-3.104	1.104	0.995
96-84	-1.4	-3.69	0.89	0.883
97-84	-0.667	-2.758	1.424	1
98-84	-0.6	-2.89	1.69	1
86-85	-0.139	-1.784	1.506	1
87-85	-0.25	-1.966	1.466	1
88-85	-0.821	-2.537	0.894	0.995
90-85	-0.35	-1.97	1.27	1
91-85	-0.65	-2.486	1.186	1
92-85	0.083	-1.684	1.85	1
94-85	-0.5	-2.176	1.176	1
95-85	-0.25	-1.848	1.348	1
96-85	-0.65	-2.486	1.186	1
97-85	0.083	-1.497	1.664	1
98-85	0.15	-1.686	1.986	1
87-86	-0.111	-1.491	1.269	1
88-86	-0.683	-2.062	0.697	0.991
90-86	-0.211	-1.469	1.047	1
91-86	-0.511	-2.038	1.016	1
92-86	0.222	-1.221	1.665	1
94-86	-0.361	-1.691	0.969	1
95-86	-0.111	-1.342	1.119	1
96-86	-0.511	-2.038	1.016	1
97-86	0.222	-0.985	1.429	1
98-86	0.289	-1.238	1.816	1
88-87	-0.571	-2.035	0.892	1
90-87	-0.1	-1.449	1.249	1
91-87	-0.4	-2.003	1.203	1
92-87	0.333	-1.19	1.856	1
94-87	-0.25	-1.667	1.167	1
95-87	0	-1.324	1.324	1
96-87	-0.4	-2.003	1.203	1
97-87	0.333	-0.969	1.635	1
98-87	0.4	-1.203	2.003	1
90-88	0.471	-0.878	1.821	1
91-88	0.171	-1.432	1.774	1
92-88	0.905	-0.618	2.428	0.912
94-88	0.321	-1.095	1.738	1
95-88	0.571	-0.752	1.895	0.999
96-88	0.171	-1.432	1.774	1
97-88	0.905	-0.397	2.207	0.678
98-88	0.971	-0.632	2.574	0.893
91-90	-0.3	-1.799	1.199	1
92-90	0.433	-0.98	1.847	1
94-90	-0.15	-1.449	1.149	1
95-90	0.1	-1.096	1.296	1
96-90	-0.3	-1.799	1.199	1
97-90	0.433	-0.739	1.606	1
98-90	0.5	-0.999	1.999	1
92-91	0.733	-0.924	2.391	0.999
94-91	0.15	-1.411	1.711	1
95-91	0.4	-1.077	1.877	1
96-91	0	-1.731	1.731	1
97-91	0.733	-0.724	2.191	0.989
98-91	0.8	-0.931	2.531	0.997
94-92	-0.583	-2.062	0.895	1
95-92	-0.333	-1.723	1.056	1
96-92	-0.733	-2.391	0.924	0.999
97-92	0	-1.369	1.369	1
98-92	0.067	-1.591	1.724	1
95-94	0.25	-1.022	1.522	1
96-94	-0.15	-1.711	1.411	1
97-94	0.583	-0.666	1.833	0.996
98-94	0.65	-0.911	2.211	1
96-95	-0.4	-1.877	1.077	1
97-95	0.333	-0.809	1.476	1
98-95	0.4	-1.077	1.877	1
97-96	0.733	-0.724	2.191	0.989
98-96	0.8	-0.931	2.531	0.997
98-97	0.067	-1.391	1.524	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	34	0.589	0.961
	116

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260880287ig74tgzroe4w1j1/3d7gh1260880246.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260880287ig74tgzroe4w1j1/3d7gh1260880246.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260880287ig74tgzroe4w1j1/4fka91260880246.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260880287ig74tgzroe4w1j1/4fka91260880246.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')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

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