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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 14:16:25 +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/t12910401038qa3cnepc7chznd.htm/, Retrieved Mon, 29 Nov 2010 15:15:11 +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/t12910401038qa3cnepc7chznd.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 86 6 36 88 3 86 8 56 94 3 103 8 48 90 3 74 7 32 73 1 63 5 44 68 2 82 7 39 80 3 93 8 34 86 3 77 9 41 86 2 111 9 50 91 1 71 3 39 79 1 103 9 62 96 3 89 7 52 92 3 75 9 37 72 3 88 8 50 96 1 84 6 41 70 3 85 7 55 86 3 70 8 41 87 3 104 9 56 88 2 88 7 39 79 2 77 6 52 90 1 77 8 46 95 1 72 7 44 85 3 83 8 41 90 1 110 9 50 115 1 91 9 50 84 3 80 7 44 79 1 91 4 52 94 2 86 7 54 97 3 85 7 44 86 2 107 9 52 111 2 93 7 37 87 3 87 9 52 98 1 84 10 50 87 3 73 5 36 68 3 84 6 50 88 1 86 9 52 82 2 99 9 55 111 1 75 8 31 75 1 87 6 36 94 2 79 6 49 95 1 82 5 42 80 1 95 8 37 95 3 84 8 41 68 2 85 5 30 94 2 95 6 52 88 1 63 9 30 84 1 85 4 44 101 1 86 8 66 98 2 75 9 48 78 3 98 7 43 109 3 71 7 57 102 3 63 6 46 81 3 71 9 54 97 2 84 9 48 75 2 81 8 48 97 3 79 6 62 101 3 63 10 58 101 2 93 8 58 95 2 92 7 62 95 3 83 8 46 95 2 80 3 34 90 3 111 8 66 107 3 92 10 52 92 2 79 7 55 86 2 69 5 55 70 3 83 10 57 95 3 80 5 56 96 2 91 8 55 91 1 97 9 56 87 2 85 6 54 92 2 85 9 55 97 2 99 8 46 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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
MOMAGE ~ WISCRY7V
means	2.333	-0.19	-0.333	-0.333	0.167	-0.333	-0.333	-0.333	0	0.667	-0.333	0.167	-0.333	0.667	0.667	-0.733	-0.083	-0.667	-0.333	-0.667	0.667	-1.333	-1.333	-0.333	0.556	-0.476	0.095	0.067	-0.133	0.5	-0.208	-0.061	0.267	0.167	0.067

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	34	22.003	0.647	0.976	0.515
Residuals	116	76.924	0.663

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	-0.19	-2.396	2.016	1
102-100	-0.333	-2.943	2.277	1
103-100	-0.333	-3.252	2.585	1
106-100	0.167	-2.752	3.085	1
107-100	-0.333	-2.943	2.277	1
108-100	-0.333	-4.025	3.358	1
109-100	-0.333	-3.252	2.585	1
111-100	0	-2.61	2.61	1
112-100	0.667	-3.025	4.358	1
115-100	-0.333	-2.775	2.108	1
68-100	0.167	-2.275	2.608	1
70-100	-0.333	-2.943	2.277	1
72-100	0.667	-3.025	4.358	1
73-100	0.667	-3.025	4.358	1
75-100	-0.733	-3.068	1.601	1
77-100	-0.083	-2.525	2.358	1
78-100	-0.667	-3.277	1.943	1
79-100	-0.333	-2.943	2.277	1
80-100	-0.667	-3.277	1.943	1
81-100	0.667	-3.025	4.358	1
82-100	-1.333	-5.025	2.358	1
84-100	-1.333	-4.252	1.585	0.997
85-100	-0.333	-2.775	2.108	1
86-100	0.556	-1.576	2.687	1
87-100	-0.476	-2.682	1.73	1
88-100	0.095	-2.111	2.301	1
90-100	0.067	-2.038	2.171	1
91-100	-0.133	-2.468	2.201	1
92-100	0.5	-1.76	2.76	1
94-100	-0.208	-2.373	1.956	1
95-100	-0.061	-2.143	2.022	1
96-100	0.267	-2.068	2.601	1
97-100	0.167	-1.897	2.23	1
98-100	0.067	-2.268	2.401	1
102-101	-0.143	-2.349	2.063	1
103-101	-0.143	-2.706	2.42	1
106-101	0.357	-2.206	2.92	1
107-101	-0.143	-2.349	2.063	1
108-101	-0.143	-3.56	3.275	1
109-101	-0.143	-2.706	2.42	1
111-101	0.19	-2.016	2.396	1
112-101	0.857	-2.56	4.275	1
115-101	-0.143	-2.147	1.861	1
68-101	0.357	-1.647	2.361	1
70-101	-0.143	-2.349	2.063	1
72-101	0.857	-2.56	4.275	1
73-101	0.857	-2.56	4.275	1
75-101	-0.543	-2.415	1.329	1
77-101	0.107	-1.897	2.111	1
78-101	-0.476	-2.682	1.73	1
79-101	-0.143	-2.349	2.063	1
80-101	-0.476	-2.682	1.73	1
81-101	0.857	-2.56	4.275	1
82-101	-1.143	-4.56	2.275	1
84-101	-1.143	-3.706	1.42	0.998
85-101	-0.143	-2.147	1.861	1
86-101	0.746	-0.865	2.357	0.997
87-101	-0.286	-1.994	1.423	1
88-101	0.286	-1.423	1.994	1
90-101	0.257	-1.318	1.833	1
91-101	0.057	-1.815	1.929	1
92-101	0.69	-1.088	2.469	1
94-101	-0.018	-1.672	1.637	1
95-101	0.13	-1.416	1.675	1
96-101	0.457	-1.415	2.329	1
97-101	0.357	-1.163	1.878	1
98-101	0.257	-1.615	2.129	1
103-102	0	-2.918	2.918	1
106-102	0.5	-2.418	3.418	1
107-102	0	-2.61	2.61	1
108-102	0	-3.691	3.691	1
109-102	0	-2.918	2.918	1
111-102	0.333	-2.277	2.943	1
112-102	1	-2.691	4.691	1
115-102	0	-2.442	2.442	1
68-102	0.5	-1.942	2.942	1
70-102	0	-2.61	2.61	1
72-102	1	-2.691	4.691	1
73-102	1	-2.691	4.691	1
75-102	-0.4	-2.735	1.935	1
77-102	0.25	-2.192	2.692	1
78-102	-0.333	-2.943	2.277	1
79-102	0	-2.61	2.61	1
80-102	-0.333	-2.943	2.277	1
81-102	1	-2.691	4.691	1
82-102	-1	-4.691	2.691	1
84-102	-1	-3.918	1.918	1
85-102	0	-2.442	2.442	1
86-102	0.889	-1.242	3.02	1
87-102	-0.143	-2.349	2.063	1
88-102	0.429	-1.777	2.635	1
90-102	0.4	-1.704	2.504	1
91-102	0.2	-2.135	2.535	1
92-102	0.833	-1.427	3.094	1
94-102	0.125	-2.039	2.289	1
95-102	0.273	-1.809	2.355	1
96-102	0.6	-1.735	2.935	1
97-102	0.5	-1.564	2.564	1
98-102	0.4	-1.935	2.735	1
106-103	0.5	-2.697	3.697	1
107-103	0	-2.918	2.918	1
108-103	0	-3.915	3.915	1
109-103	0	-3.197	3.197	1
111-103	0.333	-2.585	3.252	1
112-103	1	-2.915	4.915	1
115-103	0	-2.768	2.768	1
68-103	0.5	-2.268	3.268	1
70-103	0	-2.918	2.918	1
72-103	1	-2.915	4.915	1
73-103	1	-2.915	4.915	1
75-103	-0.4	-3.075	2.275	1
77-103	0.25	-2.518	3.018	1
78-103	-0.333	-3.252	2.585	1
79-103	0	-2.918	2.918	1
80-103	-0.333	-3.252	2.585	1
81-103	1	-2.915	4.915	1
82-103	-1	-4.915	2.915	1
84-103	-1	-4.197	2.197	1
85-103	0	-2.768	2.768	1
86-103	0.889	-1.61	3.388	1
87-103	-0.143	-2.706	2.42	1
88-103	0.429	-2.135	2.992	1
90-103	0.4	-2.076	2.876	1
91-103	0.2	-2.475	2.875	1
92-103	0.833	-1.777	3.443	1
94-103	0.125	-2.402	2.652	1
95-103	0.273	-2.185	2.73	1
96-103	0.6	-2.075	3.275	1
97-103	0.5	-1.942	2.942	1
98-103	0.4	-2.275	3.075	1
107-106	-0.5	-3.418	2.418	1
108-106	-0.5	-4.415	3.415	1
109-106	-0.5	-3.697	2.697	1
111-106	-0.167	-3.085	2.752	1
112-106	0.5	-3.415	4.415	1
115-106	-0.5	-3.268	2.268	1
68-106	0	-2.768	2.768	1
70-106	-0.5	-3.418	2.418	1
72-106	0.5	-3.415	4.415	1
73-106	0.5	-3.415	4.415	1
75-106	-0.9	-3.575	1.775	1
77-106	-0.25	-3.018	2.518	1
78-106	-0.833	-3.752	2.085	1
79-106	-0.5	-3.418	2.418	1
80-106	-0.833	-3.752	2.085	1
81-106	0.5	-3.415	4.415	1
82-106	-1.5	-5.415	2.415	1
84-106	-1.5	-4.697	1.697	0.996
85-106	-0.5	-3.268	2.268	1
86-106	0.389	-2.11	2.888	1
87-106	-0.643	-3.206	1.92	1
88-106	-0.071	-2.635	2.492	1
90-106	-0.1	-2.576	2.376	1
91-106	-0.3	-2.975	2.375	1
92-106	0.333	-2.277	2.943	1
94-106	-0.375	-2.902	2.152	1
95-106	-0.227	-2.685	2.23	1
96-106	0.1	-2.575	2.775	1
97-106	0	-2.442	2.442	1
98-106	-0.1	-2.775	2.575	1
108-107	0	-3.691	3.691	1
109-107	0	-2.918	2.918	1
111-107	0.333	-2.277	2.943	1
112-107	1	-2.691	4.691	1
115-107	0	-2.442	2.442	1
68-107	0.5	-1.942	2.942	1
70-107	0	-2.61	2.61	1
72-107	1	-2.691	4.691	1
73-107	1	-2.691	4.691	1
75-107	-0.4	-2.735	1.935	1
77-107	0.25	-2.192	2.692	1
78-107	-0.333	-2.943	2.277	1
79-107	0	-2.61	2.61	1
80-107	-0.333	-2.943	2.277	1
81-107	1	-2.691	4.691	1
82-107	-1	-4.691	2.691	1
84-107	-1	-3.918	1.918	1
85-107	0	-2.442	2.442	1
86-107	0.889	-1.242	3.02	1
87-107	-0.143	-2.349	2.063	1
88-107	0.429	-1.777	2.635	1
90-107	0.4	-1.704	2.504	1
91-107	0.2	-2.135	2.535	1
92-107	0.833	-1.427	3.094	1
94-107	0.125	-2.039	2.289	1
95-107	0.273	-1.809	2.355	1
96-107	0.6	-1.735	2.935	1
97-107	0.5	-1.564	2.564	1
98-107	0.4	-1.935	2.735	1
109-108	0	-3.915	3.915	1
111-108	0.333	-3.358	4.025	1
112-108	1	-3.521	5.521	1
115-108	0	-3.574	3.574	1
68-108	0.5	-3.074	4.074	1
70-108	0	-3.691	3.691	1
72-108	1	-3.521	5.521	1
73-108	1	-3.521	5.521	1
75-108	-0.4	-3.902	3.102	1
77-108	0.25	-3.324	3.824	1
78-108	-0.333	-4.025	3.358	1
79-108	0	-3.691	3.691	1
80-108	-0.333	-4.025	3.358	1
81-108	1	-3.521	5.521	1
82-108	-1	-5.521	3.521	1
84-108	-1	-4.915	2.915	1
85-108	0	-3.574	3.574	1
86-108	0.889	-2.481	4.259	1
87-108	-0.143	-3.56	3.275	1
88-108	0.429	-2.989	3.846	1
90-108	0.4	-2.953	3.753	1
91-108	0.2	-3.302	3.702	1
92-108	0.833	-2.62	4.286	1
94-108	0.125	-3.266	3.516	1
95-108	0.273	-3.066	3.612	1
96-108	0.6	-2.902	4.102	1
97-108	0.5	-2.827	3.827	1
98-108	0.4	-3.102	3.902	1
111-109	0.333	-2.585	3.252	1
112-109	1	-2.915	4.915	1
115-109	0	-2.768	2.768	1
68-109	0.5	-2.268	3.268	1
70-109	0	-2.918	2.918	1
72-109	1	-2.915	4.915	1
73-109	1	-2.915	4.915	1
75-109	-0.4	-3.075	2.275	1
77-109	0.25	-2.518	3.018	1
78-109	-0.333	-3.252	2.585	1
79-109	0	-2.918	2.918	1
80-109	-0.333	-3.252	2.585	1
81-109	1	-2.915	4.915	1
82-109	-1	-4.915	2.915	1
84-109	-1	-4.197	2.197	1
85-109	0	-2.768	2.768	1
86-109	0.889	-1.61	3.388	1
87-109	-0.143	-2.706	2.42	1
88-109	0.429	-2.135	2.992	1
90-109	0.4	-2.076	2.876	1
91-109	0.2	-2.475	2.875	1
92-109	0.833	-1.777	3.443	1
94-109	0.125	-2.402	2.652	1
95-109	0.273	-2.185	2.73	1
96-109	0.6	-2.075	3.275	1
97-109	0.5	-1.942	2.942	1
98-109	0.4	-2.275	3.075	1
112-111	0.667	-3.025	4.358	1
115-111	-0.333	-2.775	2.108	1
68-111	0.167	-2.275	2.608	1
70-111	-0.333	-2.943	2.277	1
72-111	0.667	-3.025	4.358	1
73-111	0.667	-3.025	4.358	1
75-111	-0.733	-3.068	1.601	1
77-111	-0.083	-2.525	2.358	1
78-111	-0.667	-3.277	1.943	1
79-111	-0.333	-2.943	2.277	1
80-111	-0.667	-3.277	1.943	1
81-111	0.667	-3.025	4.358	1
82-111	-1.333	-5.025	2.358	1
84-111	-1.333	-4.252	1.585	0.997
85-111	-0.333	-2.775	2.108	1
86-111	0.556	-1.576	2.687	1
87-111	-0.476	-2.682	1.73	1
88-111	0.095	-2.111	2.301	1
90-111	0.067	-2.038	2.171	1
91-111	-0.133	-2.468	2.201	1
92-111	0.5	-1.76	2.76	1
94-111	-0.208	-2.373	1.956	1
95-111	-0.061	-2.143	2.022	1
96-111	0.267	-2.068	2.601	1
97-111	0.167	-1.897	2.23	1
98-111	0.067	-2.268	2.401	1
115-112	-1	-4.574	2.574	1
68-112	-0.5	-4.074	3.074	1
70-112	-1	-4.691	2.691	1
72-112	0	-4.521	4.521	1
73-112	0	-4.521	4.521	1
75-112	-1.4	-4.902	2.102	1
77-112	-0.75	-4.324	2.824	1
78-112	-1.333	-5.025	2.358	1
79-112	-1	-4.691	2.691	1
80-112	-1.333	-5.025	2.358	1
81-112	0	-4.521	4.521	1
82-112	-2	-6.521	2.521	0.999
84-112	-2	-5.915	1.915	0.986
85-112	-1	-4.574	2.574	1
86-112	-0.111	-3.481	3.259	1
87-112	-1.143	-4.56	2.275	1
88-112	-0.571	-3.989	2.846	1
90-112	-0.6	-3.953	2.753	1
91-112	-0.8	-4.302	2.702	1
92-112	-0.167	-3.62	3.286	1
94-112	-0.875	-4.266	2.516	1
95-112	-0.727	-4.066	2.612	1
96-112	-0.4	-3.902	3.102	1
97-112	-0.5	-3.827	2.827	1
98-112	-0.6	-4.102	2.902	1
68-115	0.5	-1.76	2.76	1
70-115	0	-2.442	2.442	1
72-115	1	-2.574	4.574	1
73-115	1	-2.574	4.574	1
75-115	-0.4	-2.544	1.744	1
77-115	0.25	-2.01	2.51	1
78-115	-0.333	-2.775	2.108	1
79-115	0	-2.442	2.442	1
80-115	-0.333	-2.775	2.108	1
81-115	1	-2.574	4.574	1
82-115	-1	-4.574	2.574	1
84-115	-1	-3.768	1.768	1
85-115	0	-2.26	2.26	1
86-115	0.889	-1.032	2.81	0.997
87-115	-0.143	-2.147	1.861	1
88-115	0.429	-1.575	2.432	1
90-115	0.4	-1.491	2.291	1
91-115	0.2	-1.944	2.344	1
92-115	0.833	-1.23	2.897	1
94-115	0.125	-1.833	2.083	1
95-115	0.273	-1.594	2.139	1
96-115	0.6	-1.544	2.744	1
97-115	0.5	-1.346	2.346	1
98-115	0.4	-1.744	2.544	1
70-68	-0.5	-2.942	1.942	1
72-68	0.5	-3.074	4.074	1
73-68	0.5	-3.074	4.074	1
75-68	-0.9	-3.044	1.244	0.999
77-68	-0.25	-2.51	2.01	1
78-68	-0.833	-3.275	1.608	1
79-68	-0.5	-2.942	1.942	1
80-68	-0.833	-3.275	1.608	1
81-68	0.5	-3.074	4.074	1
82-68	-1.5	-5.074	2.074	0.999
84-68	-1.5	-4.268	1.268	0.969
85-68	-0.5	-2.76	1.76	1
86-68	0.389	-1.532	2.31	1
87-68	-0.643	-2.647	1.361	1
88-68	-0.071	-2.075	1.932	1
90-68	-0.1	-1.991	1.791	1
91-68	-0.3	-2.444	1.844	1
92-68	0.333	-1.73	2.397	1
94-68	-0.375	-2.333	1.583	1
95-68	-0.227	-2.094	1.639	1
96-68	0.1	-2.044	2.244	1
97-68	0	-1.846	1.846	1
98-68	-0.1	-2.244	2.044	1
72-70	1	-2.691	4.691	1
73-70	1	-2.691	4.691	1
75-70	-0.4	-2.735	1.935	1
77-70	0.25	-2.192	2.692	1
78-70	-0.333	-2.943	2.277	1
79-70	0	-2.61	2.61	1
80-70	-0.333	-2.943	2.277	1
81-70	1	-2.691	4.691	1
82-70	-1	-4.691	2.691	1
84-70	-1	-3.918	1.918	1
85-70	0	-2.442	2.442	1
86-70	0.889	-1.242	3.02	1
87-70	-0.143	-2.349	2.063	1
88-70	0.429	-1.777	2.635	1
90-70	0.4	-1.704	2.504	1
91-70	0.2	-2.135	2.535	1
92-70	0.833	-1.427	3.094	1
94-70	0.125	-2.039	2.289	1
95-70	0.273	-1.809	2.355	1
96-70	0.6	-1.735	2.935	1
97-70	0.5	-1.564	2.564	1
98-70	0.4	-1.935	2.735	1
73-72	0	-4.521	4.521	1
75-72	-1.4	-4.902	2.102	1
77-72	-0.75	-4.324	2.824	1
78-72	-1.333	-5.025	2.358	1
79-72	-1	-4.691	2.691	1
80-72	-1.333	-5.025	2.358	1
81-72	0	-4.521	4.521	1
82-72	-2	-6.521	2.521	0.999
84-72	-2	-5.915	1.915	0.986
85-72	-1	-4.574	2.574	1
86-72	-0.111	-3.481	3.259	1
87-72	-1.143	-4.56	2.275	1
88-72	-0.571	-3.989	2.846	1
90-72	-0.6	-3.953	2.753	1
91-72	-0.8	-4.302	2.702	1
92-72	-0.167	-3.62	3.286	1
94-72	-0.875	-4.266	2.516	1
95-72	-0.727	-4.066	2.612	1
96-72	-0.4	-3.902	3.102	1
97-72	-0.5	-3.827	2.827	1
98-72	-0.6	-4.102	2.902	1
75-73	-1.4	-4.902	2.102	1
77-73	-0.75	-4.324	2.824	1
78-73	-1.333	-5.025	2.358	1
79-73	-1	-4.691	2.691	1
80-73	-1.333	-5.025	2.358	1
81-73	0	-4.521	4.521	1
82-73	-2	-6.521	2.521	0.999
84-73	-2	-5.915	1.915	0.986
85-73	-1	-4.574	2.574	1
86-73	-0.111	-3.481	3.259	1
87-73	-1.143	-4.56	2.275	1
88-73	-0.571	-3.989	2.846	1
90-73	-0.6	-3.953	2.753	1
91-73	-0.8	-4.302	2.702	1
92-73	-0.167	-3.62	3.286	1
94-73	-0.875	-4.266	2.516	1
95-73	-0.727	-4.066	2.612	1
96-73	-0.4	-3.902	3.102	1
97-73	-0.5	-3.827	2.827	1
98-73	-0.6	-4.102	2.902	1
77-75	0.65	-1.494	2.794	1
78-75	0.067	-2.268	2.401	1
79-75	0.4	-1.935	2.735	1
80-75	0.067	-2.268	2.401	1
81-75	1.4	-2.102	4.902	1
82-75	-0.6	-4.102	2.902	1
84-75	-0.6	-3.275	2.075	1
85-75	0.4	-1.744	2.544	1
86-75	1.289	-0.494	3.072	0.593
87-75	0.257	-1.615	2.129	1
88-75	0.829	-1.043	2.7	0.999
90-75	0.8	-0.951	2.551	0.997
91-75	0.6	-1.422	2.622	1
92-75	1.233	-0.702	3.169	0.831
94-75	0.525	-1.297	2.347	1
95-75	0.673	-1.051	2.397	1
96-75	1	-1.022	3.022	0.991
97-75	0.9	-0.802	2.602	0.977
98-75	0.8	-1.222	2.822	1
78-77	-0.583	-3.025	1.858	1
79-77	-0.25	-2.692	2.192	1
80-77	-0.583	-3.025	1.858	1
81-77	0.75	-2.824	4.324	1
82-77	-1.25	-4.824	2.324	1
84-77	-1.25	-4.018	1.518	0.998
85-77	-0.25	-2.51	2.01	1
86-77	0.639	-1.282	2.56	1
87-77	-0.393	-2.397	1.611	1
88-77	0.179	-1.825	2.182	1
90-77	0.15	-1.741	2.041	1
91-77	-0.05	-2.194	2.094	1
92-77	0.583	-1.48	2.647	1
94-77	-0.125	-2.083	1.833	1
95-77	0.023	-1.844	1.889	1
96-77	0.35	-1.794	2.494	1
97-77	0.25	-1.596	2.096	1
98-77	0.15	-1.994	2.294	1
79-78	0.333	-2.277	2.943	1
80-78	0	-2.61	2.61	1
81-78	1.333	-2.358	5.025	1
82-78	-0.667	-4.358	3.025	1
84-78	-0.667	-3.585	2.252	1
85-78	0.333	-2.108	2.775	1
86-78	1.222	-0.909	3.353	0.94
87-78	0.19	-2.016	2.396	1
88-78	0.762	-1.444	2.968	1
90-78	0.733	-1.371	2.838	1
91-78	0.533	-1.801	2.868	1
92-78	1.167	-1.094	3.427	0.984
94-78	0.458	-1.706	2.623	1
95-78	0.606	-1.476	2.688	1
96-78	0.933	-1.401	3.268	1
97-78	0.833	-1.23	2.897	1
98-78	0.733	-1.601	3.068	1
80-79	-0.333	-2.943	2.277	1
81-79	1	-2.691	4.691	1
82-79	-1	-4.691	2.691	1
84-79	-1	-3.918	1.918	1
85-79	0	-2.442	2.442	1
86-79	0.889	-1.242	3.02	1
87-79	-0.143	-2.349	2.063	1
88-79	0.429	-1.777	2.635	1
90-79	0.4	-1.704	2.504	1
91-79	0.2	-2.135	2.535	1
92-79	0.833	-1.427	3.094	1
94-79	0.125	-2.039	2.289	1
95-79	0.273	-1.809	2.355	1
96-79	0.6	-1.735	2.935	1
97-79	0.5	-1.564	2.564	1
98-79	0.4	-1.935	2.735	1
81-80	1.333	-2.358	5.025	1
82-80	-0.667	-4.358	3.025	1
84-80	-0.667	-3.585	2.252	1
85-80	0.333	-2.108	2.775	1
86-80	1.222	-0.909	3.353	0.94
87-80	0.19	-2.016	2.396	1
88-80	0.762	-1.444	2.968	1
90-80	0.733	-1.371	2.838	1
91-80	0.533	-1.801	2.868	1
92-80	1.167	-1.094	3.427	0.984
94-80	0.458	-1.706	2.623	1
95-80	0.606	-1.476	2.688	1
96-80	0.933	-1.401	3.268	1
97-80	0.833	-1.23	2.897	1
98-80	0.733	-1.601	3.068	1
82-81	-2	-6.521	2.521	0.999
84-81	-2	-5.915	1.915	0.986
85-81	-1	-4.574	2.574	1
86-81	-0.111	-3.481	3.259	1
87-81	-1.143	-4.56	2.275	1
88-81	-0.571	-3.989	2.846	1
90-81	-0.6	-3.953	2.753	1
91-81	-0.8	-4.302	2.702	1
92-81	-0.167	-3.62	3.286	1
94-81	-0.875	-4.266	2.516	1
95-81	-0.727	-4.066	2.612	1
96-81	-0.4	-3.902	3.102	1
97-81	-0.5	-3.827	2.827	1
98-81	-0.6	-4.102	2.902	1
84-82	0	-3.915	3.915	1
85-82	1	-2.574	4.574	1
86-82	1.889	-1.481	5.259	0.953
87-82	0.857	-2.56	4.275	1
88-82	1.429	-1.989	4.846	0.999
90-82	1.4	-1.953	4.753	0.999
91-82	1.2	-2.302	4.702	1
92-82	1.833	-1.62	5.286	0.976
94-82	1.125	-2.266	4.516	1
95-82	1.273	-2.066	4.612	1
96-82	1.6	-1.902	5.102	0.997
97-82	1.5	-1.827	4.827	0.998
98-82	1.4	-2.102	4.902	1
85-84	1	-1.768	3.768	1
86-84	1.889	-0.61	4.388	0.492
87-84	0.857	-1.706	3.42	1
88-84	1.429	-1.135	3.992	0.957
90-84	1.4	-1.076	3.876	0.949
91-84	1.2	-1.475	3.875	0.998
92-84	1.833	-0.777	4.443	0.656
94-84	1.125	-1.402	3.652	0.998
95-84	1.273	-1.185	3.73	0.983
96-84	1.6	-1.075	4.275	0.906
97-84	1.5	-0.942	3.942	0.878
98-84	1.4	-1.275	4.075	0.98
86-85	0.889	-1.032	2.81	0.997
87-85	-0.143	-2.147	1.861	1
88-85	0.429	-1.575	2.432	1
90-85	0.4	-1.491	2.291	1
91-85	0.2	-1.944	2.344	1
92-85	0.833	-1.23	2.897	1
94-85	0.125	-1.833	2.083	1
95-85	0.273	-1.594	2.139	1
96-85	0.6	-1.544	2.744	1
97-85	0.5	-1.346	2.346	1
98-85	0.4	-1.744	2.544	1
87-86	-1.032	-2.643	0.579	0.823
88-86	-0.46	-2.071	1.151	1
90-86	-0.489	-1.958	0.98	1
91-86	-0.689	-2.472	1.094	1
92-86	-0.056	-1.74	1.629	1
94-86	-0.764	-2.317	0.789	0.992
95-86	-0.616	-2.053	0.821	0.999
96-86	-0.289	-2.072	1.494	1
97-86	-0.389	-1.799	1.021	1
98-86	-0.489	-2.272	1.294	1
88-87	0.571	-1.137	2.28	1
90-87	0.543	-1.033	2.118	1
91-87	0.343	-1.529	2.215	1
92-87	0.976	-0.802	2.755	0.964
94-87	0.268	-1.387	1.922	1
95-87	0.416	-1.13	1.961	1
96-87	0.743	-1.129	2.615	1
97-87	0.643	-0.878	2.163	0.999
98-87	0.543	-1.329	2.415	1
90-88	-0.029	-1.604	1.547	1
91-88	-0.229	-2.1	1.643	1
92-88	0.405	-1.374	2.183	1
94-88	-0.304	-1.958	1.351	1
95-88	-0.156	-1.701	1.39	1
96-88	0.171	-1.7	2.043	1
97-88	0.071	-1.449	1.592	1
98-88	-0.029	-1.9	1.843	1
91-90	-0.2	-1.951	1.551	1
92-90	0.433	-1.217	2.084	1
94-90	-0.275	-1.791	1.241	1
95-90	-0.127	-1.524	1.27	1
96-90	0.2	-1.551	1.951	1
97-90	0.1	-1.269	1.469	1
98-90	0	-1.751	1.751	1
92-91	0.633	-1.302	2.569	1
94-91	-0.075	-1.897	1.747	1
95-91	0.073	-1.651	1.797	1
96-91	0.4	-1.622	2.422	1
97-91	0.3	-1.402	2.002	1
98-91	0.2	-1.822	2.222	1
94-92	-0.708	-2.435	1.018	1
95-92	-0.561	-2.183	1.062	1
96-92	-0.233	-2.169	1.702	1
97-92	-0.333	-1.932	1.265	1
98-92	-0.433	-2.369	1.502	1
95-94	0.148	-1.338	1.633	1
96-94	0.475	-1.347	2.297	1
97-94	0.375	-1.084	1.834	1
98-94	0.275	-1.547	2.097	1
96-95	0.327	-1.397	2.051	1
97-95	0.227	-1.107	1.562	1
98-95	0.127	-1.597	1.851	1
97-96	-0.1	-1.802	1.602	1
98-96	-0.2	-2.222	1.822	1
98-97	-0.1	-1.802	1.602	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	34	0.906	0.619
	116

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Nov/29/t12910401038qa3cnepc7chznd/3cnz71291040170.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t12910401038qa3cnepc7chznd/3cnz71291040170.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t12910401038qa3cnepc7chznd/4cnz71291040170.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t12910401038qa3cnepc7chznd/4cnz71291040170.ps (open in new window)

Parameters (Session):

par1 = 1 ; par2 = 5 ; par3 = TRUE ;

Parameters (R input):

par1 = 1 ; par2 = 5 ; 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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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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