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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 19:42:59 +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/t1291059823f3wex1c4weth8cx.htm/, Retrieved Mon, 29 Nov 2010 20:43:45 +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/t1291059823f3wex1c4weth8cx.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 «

36 88 36 94 56 90 48 73 32 68 44 80 39 86 34 86 41 91 50 79 39 96 62 92 52 72 37 96 50 70 41 86 55 87 41 88 56 79 39 90 52 95 46 85 44 90 48 115 41 84 50 79 50 94 44 97 52 86 54 111 44 87 52 98 37 87 52 68 50 88 36 82 50 111 52 75 55 94 31 95 36 80 49 95 42 68 37 94 41 88 30 84 52 101 30 98 41 78 44 109 66 102 48 81 43 97 57 75 46 97 54 101 48 101 48 95 52 95 62 95 58 90 58 107 62 92 48 86 46 70 34 95 66 96 52 91 55 87 55 92 57 97 56 102 55 91 56 68 54 88 55 97 46 90 52 101 32 94 44 101 46 109 59 100 46 103 46 94 54 97 66 85 56 75 59 77 57 87 52 78 48 108 44 97 41 105 50 106 48 107 48 95 59 107 34 115 46 101 54 85 55 90 54 115 59 95 44 97 54 112 52 97 66 77 44 90 57 94 39 103 60 77 45 98 41 90 50 111 39 77 43 88 48 75 37 92 58 78 46 106 43 80 44 87 34 92 30 111 50 86 39 85 37 90 55 101 48 94 41 86 39 86 36 90 43 75 50 86 55 91 43 97 60 91 48 70 30 98 43 96 39 95 52 100 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	15 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
MC30VRB ~ WISCRY7V
means	55	-4.857	5.667	-12.5	-14	-7	0	-7	-10	-9	-1	-9.5	-9.5	-7	-3	-7	-3.8	1	-4.667	-3	-14	-7	-19	-19.5	-3.75	-11.222	-6.143	-9	-9.4	-2.4	-3.5	-9.875	-8.364	-6.2	-6.917	-13.6

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	35	2806.521	80.186	1.15	0.286
Residuals	117	8160.59	69.749

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	-4.857	-27.56	17.846	1
102-100	5.667	-21.195	32.529	1
103-100	-12.5	-42.533	17.533	1
105-100	-14	-51.989	23.989	1
106-100	-7	-37.033	23.033	1
107-100	0	-26.862	26.862	1
108-100	-7	-44.989	30.989	1
109-100	-10	-40.033	20.033	1
111-100	-9	-34.127	16.127	1
112-100	-1	-38.989	36.989	1
115-100	-9.5	-34.627	15.627	1
68-100	-9.5	-34.627	15.627	1
70-100	-7	-33.862	19.862	1
72-100	-3	-40.989	34.989	1
73-100	-7	-44.989	30.989	1
75-100	-3.8	-27.826	20.226	1
77-100	1	-24.127	26.127	1
78-100	-4.667	-31.529	22.195	1
79-100	-3	-29.862	23.862	1
80-100	-14	-40.862	12.862	0.983
81-100	-7	-44.989	30.989	1
82-100	-19	-56.989	18.989	0.991
84-100	-19.5	-49.533	10.533	0.808
85-100	-3.75	-28.877	21.377	1
86-100	-11.222	-33.155	10.711	0.987
87-100	-6.143	-28.846	16.56	1
88-100	-9	-31.703	13.703	1
90-100	-9.4	-31.057	12.257	0.999
91-100	-2.4	-26.426	21.626	1
92-100	-3.5	-26.763	19.763	1
94-100	-9.875	-32.148	12.398	0.999
95-100	-8.364	-29.792	13.065	1
96-100	-6.2	-30.226	17.826	1
97-100	-6.917	-28.153	14.32	1
98-100	-13.6	-37.626	10.426	0.951
102-101	10.524	-12.179	33.226	0.997
103-101	-7.643	-34.021	18.735	1
105-101	-9.143	-44.314	26.028	1
106-101	-2.143	-28.521	24.235	1
107-101	4.857	-17.846	27.56	1
108-101	-2.143	-37.314	33.028	1
109-101	-5.143	-31.521	21.235	1
111-101	-4.143	-24.764	16.478	1
112-101	3.857	-31.314	39.028	1
115-101	-4.643	-25.264	15.978	1
68-101	-4.643	-25.264	15.978	1
70-101	-2.143	-24.846	20.56	1
72-101	1.857	-33.314	37.028	1
73-101	-2.143	-37.314	33.028	1
75-101	1.057	-18.207	20.321	1
77-101	5.857	-14.764	26.478	1
78-101	0.19	-22.512	22.893	1
79-101	1.857	-20.846	24.56	1
80-101	-9.143	-31.846	13.56	1
81-101	-2.143	-37.314	33.028	1
82-101	-14.143	-49.314	21.028	1
84-101	-14.643	-41.021	11.735	0.961
85-101	1.107	-19.514	21.728	1
86-101	-6.365	-22.945	10.215	1
87-101	-1.286	-18.871	16.3	1
88-101	-4.143	-21.728	13.443	1
90-101	-4.543	-20.756	11.67	1
91-101	2.457	-16.807	21.721	1
92-101	1.357	-16.946	19.661	1
94-101	-5.018	-22.045	12.009	1
95-101	-3.506	-19.413	12.4	1
96-101	-1.343	-20.607	17.921	1
97-101	-2.06	-17.706	13.587	1
98-101	-8.743	-28.007	10.521	0.998
103-102	-18.167	-48.199	11.866	0.899
105-102	-19.667	-57.655	18.322	0.984
106-102	-12.667	-42.699	17.366	0.999
107-102	-5.667	-32.529	21.195	1
108-102	-12.667	-50.655	25.322	1
109-102	-15.667	-45.699	14.366	0.983
111-102	-14.667	-39.794	10.461	0.93
112-102	-6.667	-44.655	31.322	1
115-102	-15.167	-40.294	9.961	0.901
68-102	-15.167	-40.294	9.961	0.901
70-102	-12.667	-39.529	14.195	0.996
72-102	-8.667	-46.655	29.322	1
73-102	-12.667	-50.655	25.322	1
75-102	-9.467	-33.493	14.56	1
77-102	-4.667	-29.794	20.461	1
78-102	-10.333	-37.195	16.529	1
79-102	-8.667	-35.529	18.195	1
80-102	-19.667	-46.529	7.195	0.57
81-102	-12.667	-50.655	25.322	1
82-102	-24.667	-62.655	13.322	0.808
84-102	-25.167	-55.199	4.866	0.271
85-102	-9.417	-34.544	15.711	1
86-102	-16.889	-38.822	5.044	0.454
87-102	-11.81	-34.512	10.893	0.983
88-102	-14.667	-37.369	8.036	0.815
90-102	-15.067	-36.724	6.59	0.681
91-102	-8.067	-32.093	15.96	1
92-102	-9.167	-32.43	14.097	1
94-102	-15.542	-37.815	6.731	0.675
95-102	-14.03	-35.459	7.398	0.794
96-102	-11.867	-35.893	12.16	0.992
97-102	-12.583	-33.82	8.653	0.918
98-102	-19.267	-43.293	4.76	0.362
105-103	-1.5	-41.793	38.793	1
106-103	5.5	-27.399	38.399	1
107-103	12.5	-17.533	42.533	1
108-103	5.5	-34.793	45.793	1
109-103	2.5	-30.399	35.399	1
111-103	3.5	-24.992	31.992	1
112-103	11.5	-28.793	51.793	1
115-103	3	-25.492	31.492	1
68-103	3	-25.492	31.492	1
70-103	5.5	-24.533	35.533	1
72-103	9.5	-30.793	49.793	1
73-103	5.5	-34.793	45.793	1
75-103	8.7	-18.826	36.226	1
77-103	13.5	-14.992	41.992	0.996
78-103	7.833	-22.199	37.866	1
79-103	9.5	-20.533	39.533	1
80-103	-1.5	-31.533	28.533	1
81-103	5.5	-34.793	45.793	1
82-103	-6.5	-46.793	33.793	1
84-103	-7	-39.899	25.899	1
85-103	8.75	-19.742	37.242	1
86-103	1.278	-24.441	26.996	1
87-103	6.357	-20.021	32.735	1
88-103	3.5	-22.878	29.878	1
90-103	3.1	-22.384	28.584	1
91-103	10.1	-17.426	37.626	1
92-103	9	-17.862	35.862	1
94-103	2.625	-23.384	28.634	1
95-103	4.136	-21.154	29.426	1
96-103	6.3	-21.226	33.826	1
97-103	5.583	-19.544	30.711	1
98-103	-1.1	-28.626	26.426	1
106-105	7	-33.293	47.293	1
107-105	14	-23.989	51.989	1
108-105	7	-39.527	53.527	1
109-105	4	-36.293	44.293	1
111-105	5	-31.783	41.783	1
112-105	13	-33.527	59.527	1
115-105	4.5	-32.283	41.283	1
68-105	4.5	-32.283	41.283	1
70-105	7	-30.989	44.989	1
72-105	11	-35.527	57.527	1
73-105	7	-39.527	53.527	1
75-105	10.2	-25.839	46.239	1
77-105	15	-21.783	51.783	1
78-105	9.333	-28.655	47.322	1
79-105	11	-26.989	48.989	1
80-105	0	-37.989	37.989	1
81-105	7	-39.527	53.527	1
82-105	-5	-51.527	41.527	1
84-105	-5.5	-45.793	34.793	1
85-105	10.25	-26.533	47.033	1
86-105	2.778	-31.901	37.457	1
87-105	7.857	-27.314	43.028	1
88-105	5	-30.171	40.171	1
90-105	4.6	-29.905	39.105	1
91-105	11.6	-24.439	47.639	1
92-105	10.5	-25.035	46.035	1
94-105	4.125	-30.77	39.02	1
95-105	5.636	-28.726	39.999	1
96-105	7.8	-28.239	43.839	1
97-105	7.083	-27.159	41.326	1
98-105	0.4	-35.639	36.439	1
107-106	7	-23.033	37.033	1
108-106	0	-40.293	40.293	1
109-106	-3	-35.899	29.899	1
111-106	-2	-30.492	26.492	1
112-106	6	-34.293	46.293	1
115-106	-2.5	-30.992	25.992	1
68-106	-2.5	-30.992	25.992	1
70-106	0	-30.033	30.033	1
72-106	4	-36.293	44.293	1
73-106	0	-40.293	40.293	1
75-106	3.2	-24.326	30.726	1
77-106	8	-20.492	36.492	1
78-106	2.333	-27.699	32.366	1
79-106	4	-26.033	34.033	1
80-106	-7	-37.033	23.033	1
81-106	0	-40.293	40.293	1
82-106	-12	-52.293	28.293	1
84-106	-12.5	-45.399	20.399	1
85-106	3.25	-25.242	31.742	1
86-106	-4.222	-29.941	21.496	1
87-106	0.857	-25.521	27.235	1
88-106	-2	-28.378	24.378	1
90-106	-2.4	-27.884	23.084	1
91-106	4.6	-22.926	32.126	1
92-106	3.5	-23.362	30.362	1
94-106	-2.875	-28.884	23.134	1
95-106	-1.364	-26.654	23.926	1
96-106	0.8	-26.726	28.326	1
97-106	0.083	-25.044	25.211	1
98-106	-6.6	-34.126	20.926	1
108-107	-7	-44.989	30.989	1
109-107	-10	-40.033	20.033	1
111-107	-9	-34.127	16.127	1
112-107	-1	-38.989	36.989	1
115-107	-9.5	-34.627	15.627	1
68-107	-9.5	-34.627	15.627	1
70-107	-7	-33.862	19.862	1
72-107	-3	-40.989	34.989	1
73-107	-7	-44.989	30.989	1
75-107	-3.8	-27.826	20.226	1
77-107	1	-24.127	26.127	1
78-107	-4.667	-31.529	22.195	1
79-107	-3	-29.862	23.862	1
80-107	-14	-40.862	12.862	0.983
81-107	-7	-44.989	30.989	1
82-107	-19	-56.989	18.989	0.991
84-107	-19.5	-49.533	10.533	0.808
85-107	-3.75	-28.877	21.377	1
86-107	-11.222	-33.155	10.711	0.987
87-107	-6.143	-28.846	16.56	1
88-107	-9	-31.703	13.703	1
90-107	-9.4	-31.057	12.257	0.999
91-107	-2.4	-26.426	21.626	1
92-107	-3.5	-26.763	19.763	1
94-107	-9.875	-32.148	12.398	0.999
95-107	-8.364	-29.792	13.065	1
96-107	-6.2	-30.226	17.826	1
97-107	-6.917	-28.153	14.32	1
98-107	-13.6	-37.626	10.426	0.951
109-108	-3	-43.293	37.293	1
111-108	-2	-38.783	34.783	1
112-108	6	-40.527	52.527	1
115-108	-2.5	-39.283	34.283	1
68-108	-2.5	-39.283	34.283	1
70-108	0	-37.989	37.989	1
72-108	4	-42.527	50.527	1
73-108	0	-46.527	46.527	1
75-108	3.2	-32.839	39.239	1
77-108	8	-28.783	44.783	1
78-108	2.333	-35.655	40.322	1
79-108	4	-33.989	41.989	1
80-108	-7	-44.989	30.989	1
81-108	0	-46.527	46.527	1
82-108	-12	-58.527	34.527	1
84-108	-12.5	-52.793	27.793	1
85-108	3.25	-33.533	40.033	1
86-108	-4.222	-38.901	30.457	1
87-108	0.857	-34.314	36.028	1
88-108	-2	-37.171	33.171	1
90-108	-2.4	-36.905	32.105	1
91-108	4.6	-31.439	40.639	1
92-108	3.5	-32.035	39.035	1
94-108	-2.875	-37.77	32.02	1
95-108	-1.364	-35.726	32.999	1
96-108	0.8	-35.239	36.839	1
97-108	0.083	-34.159	34.326	1
98-108	-6.6	-42.639	29.439	1
111-109	1	-27.492	29.492	1
112-109	9	-31.293	49.293	1
115-109	0.5	-27.992	28.992	1
68-109	0.5	-27.992	28.992	1
70-109	3	-27.033	33.033	1
72-109	7	-33.293	47.293	1
73-109	3	-37.293	43.293	1
75-109	6.2	-21.326	33.726	1
77-109	11	-17.492	39.492	1
78-109	5.333	-24.699	35.366	1
79-109	7	-23.033	37.033	1
80-109	-4	-34.033	26.033	1
81-109	3	-37.293	43.293	1
82-109	-9	-49.293	31.293	1
84-109	-9.5	-42.399	23.399	1
85-109	6.25	-22.242	34.742	1
86-109	-1.222	-26.941	24.496	1
87-109	3.857	-22.521	30.235	1
88-109	1	-25.378	27.378	1
90-109	0.6	-24.884	26.084	1
91-109	7.6	-19.926	35.126	1
92-109	6.5	-20.362	33.362	1
94-109	0.125	-25.884	26.134	1
95-109	1.636	-23.654	26.926	1
96-109	3.8	-23.726	31.326	1
97-109	3.083	-22.044	28.211	1
98-109	-3.6	-31.126	23.926	1
112-111	8	-28.783	44.783	1
115-111	-0.5	-23.763	22.763	1
68-111	-0.5	-23.763	22.763	1
70-111	2	-23.127	27.127	1
72-111	6	-30.783	42.783	1
73-111	2	-34.783	38.783	1
75-111	5.2	-16.87	27.27	1
77-111	10	-13.263	33.263	0.999
78-111	4.333	-20.794	29.461	1
79-111	6	-19.127	31.127	1
80-111	-5	-30.127	20.127	1
81-111	2	-34.783	38.783	1
82-111	-10	-46.783	26.783	1
84-111	-10.5	-38.992	17.992	1
85-111	5.25	-18.013	28.513	1
86-111	-2.222	-21.992	17.548	1
87-111	2.857	-17.764	23.478	1
88-111	0	-20.621	20.621	1
90-111	-0.4	-19.863	19.063	1
91-111	6.6	-15.47	28.67	1
92-111	5.5	-15.736	26.736	1
94-111	-0.875	-21.022	19.272	1
95-111	0.636	-18.573	19.845	1
96-111	2.8	-19.27	24.87	1
97-111	2.083	-16.911	21.078	1
98-111	-4.6	-26.67	17.47	1
115-112	-8.5	-45.283	28.283	1
68-112	-8.5	-45.283	28.283	1
70-112	-6	-43.989	31.989	1
72-112	-2	-48.527	44.527	1
73-112	-6	-52.527	40.527	1
75-112	-2.8	-38.839	33.239	1
77-112	2	-34.783	38.783	1
78-112	-3.667	-41.655	34.322	1
79-112	-2	-39.989	35.989	1
80-112	-13	-50.989	24.989	1
81-112	-6	-52.527	40.527	1
82-112	-18	-64.527	28.527	1
84-112	-18.5	-58.793	21.793	0.998
85-112	-2.75	-39.533	34.033	1
86-112	-10.222	-44.901	24.457	1
87-112	-5.143	-40.314	30.028	1
88-112	-8	-43.171	27.171	1
90-112	-8.4	-42.905	26.105	1
91-112	-1.4	-37.439	34.639	1
92-112	-2.5	-38.035	33.035	1
94-112	-8.875	-43.77	26.02	1
95-112	-7.364	-41.726	26.999	1
96-112	-5.2	-41.239	30.839	1
97-112	-5.917	-40.159	28.326	1
98-112	-12.6	-48.639	23.439	1
68-115	0	-23.263	23.263	1
70-115	2.5	-22.627	27.627	1
72-115	6.5	-30.283	43.283	1
73-115	2.5	-34.283	39.283	1
75-115	5.7	-16.37	27.77	1
77-115	10.5	-12.763	33.763	0.998
78-115	4.833	-20.294	29.961	1
79-115	6.5	-18.627	31.627	1
80-115	-4.5	-29.627	20.627	1
81-115	2.5	-34.283	39.283	1
82-115	-9.5	-46.283	27.283	1
84-115	-10	-38.492	18.492	1
85-115	5.75	-17.513	29.013	1
86-115	-1.722	-21.492	18.048	1
87-115	3.357	-17.264	23.978	1
88-115	0.5	-20.121	21.121	1
90-115	0.1	-19.363	19.563	1
91-115	7.1	-14.97	29.17	1
92-115	6	-15.236	27.236	1
94-115	-0.375	-20.522	19.772	1
95-115	1.136	-18.073	20.345	1
96-115	3.3	-18.77	25.37	1
97-115	2.583	-16.411	21.578	1
98-115	-4.1	-26.17	17.97	1
70-68	2.5	-22.627	27.627	1
72-68	6.5	-30.283	43.283	1
73-68	2.5	-34.283	39.283	1
75-68	5.7	-16.37	27.77	1
77-68	10.5	-12.763	33.763	0.998
78-68	4.833	-20.294	29.961	1
79-68	6.5	-18.627	31.627	1
80-68	-4.5	-29.627	20.627	1
81-68	2.5	-34.283	39.283	1
82-68	-9.5	-46.283	27.283	1
84-68	-10	-38.492	18.492	1
85-68	5.75	-17.513	29.013	1
86-68	-1.722	-21.492	18.048	1
87-68	3.357	-17.264	23.978	1
88-68	0.5	-20.121	21.121	1
90-68	0.1	-19.363	19.563	1
91-68	7.1	-14.97	29.17	1
92-68	6	-15.236	27.236	1
94-68	-0.375	-20.522	19.772	1
95-68	1.136	-18.073	20.345	1
96-68	3.3	-18.77	25.37	1
97-68	2.583	-16.411	21.578	1
98-68	-4.1	-26.17	17.97	1
72-70	4	-33.989	41.989	1
73-70	0	-37.989	37.989	1
75-70	3.2	-20.826	27.226	1
77-70	8	-17.127	33.127	1
78-70	2.333	-24.529	29.195	1
79-70	4	-22.862	30.862	1
80-70	-7	-33.862	19.862	1
81-70	0	-37.989	37.989	1
82-70	-12	-49.989	25.989	1
84-70	-12.5	-42.533	17.533	1
85-70	3.25	-21.877	28.377	1
86-70	-4.222	-26.155	17.711	1
87-70	0.857	-21.846	23.56	1
88-70	-2	-24.703	20.703	1
90-70	-2.4	-24.057	19.257	1
91-70	4.6	-19.426	28.626	1
92-70	3.5	-19.763	26.763	1
94-70	-2.875	-25.148	19.398	1
95-70	-1.364	-22.792	20.065	1
96-70	0.8	-23.226	24.826	1
97-70	0.083	-21.153	21.32	1
98-70	-6.6	-30.626	17.426	1
73-72	-4	-50.527	42.527	1
75-72	-0.8	-36.839	35.239	1
77-72	4	-32.783	40.783	1
78-72	-1.667	-39.655	36.322	1
79-72	0	-37.989	37.989	1
80-72	-11	-48.989	26.989	1
81-72	-4	-50.527	42.527	1
82-72	-16	-62.527	30.527	1
84-72	-16.5	-56.793	23.793	1
85-72	-0.75	-37.533	36.033	1
86-72	-8.222	-42.901	26.457	1
87-72	-3.143	-38.314	32.028	1
88-72	-6	-41.171	29.171	1
90-72	-6.4	-40.905	28.105	1
91-72	0.6	-35.439	36.639	1
92-72	-0.5	-36.035	35.035	1
94-72	-6.875	-41.77	28.02	1
95-72	-5.364	-39.726	28.999	1
96-72	-3.2	-39.239	32.839	1
97-72	-3.917	-38.159	30.326	1
98-72	-10.6	-46.639	25.439	1
75-73	3.2	-32.839	39.239	1
77-73	8	-28.783	44.783	1
78-73	2.333	-35.655	40.322	1
79-73	4	-33.989	41.989	1
80-73	-7	-44.989	30.989	1
81-73	0	-46.527	46.527	1
82-73	-12	-58.527	34.527	1
84-73	-12.5	-52.793	27.793	1
85-73	3.25	-33.533	40.033	1
86-73	-4.222	-38.901	30.457	1
87-73	0.857	-34.314	36.028	1
88-73	-2	-37.171	33.171	1
90-73	-2.4	-36.905	32.105	1
91-73	4.6	-31.439	40.639	1
92-73	3.5	-32.035	39.035	1
94-73	-2.875	-37.77	32.02	1
95-73	-1.364	-35.726	32.999	1
96-73	0.8	-35.239	36.839	1
97-73	0.083	-34.159	34.326	1
98-73	-6.6	-42.639	29.439	1
77-75	4.8	-17.27	26.87	1
78-75	-0.867	-24.893	23.16	1
79-75	0.8	-23.226	24.826	1
80-75	-10.2	-34.226	13.826	0.999
81-75	-3.2	-39.239	32.839	1
82-75	-15.2	-51.239	20.839	0.999
84-75	-15.7	-43.226	11.826	0.946
85-75	0.05	-22.02	22.12	1
86-75	-7.422	-25.773	10.928	1
87-75	-2.343	-21.607	16.921	1
88-75	-5.2	-24.464	14.064	1
90-75	-5.6	-23.62	12.42	1
91-75	1.4	-19.407	22.207	1
92-75	0.3	-19.621	20.221	1
94-75	-6.075	-24.83	12.68	1
95-75	-4.564	-22.308	13.181	1
96-75	-2.4	-23.207	18.407	1
97-75	-3.117	-20.629	14.395	1
98-75	-9.8	-30.607	11.007	0.996
78-77	-5.667	-30.794	19.461	1
79-77	-4	-29.127	21.127	1
80-77	-15	-40.127	10.127	0.911
81-77	-8	-44.783	28.783	1
82-77	-20	-56.783	16.783	0.97
84-77	-20.5	-48.992	7.992	0.609
85-77	-4.75	-28.013	18.513	1
86-77	-12.222	-31.992	7.548	0.875
87-77	-7.143	-27.764	13.478	1
88-77	-10	-30.621	10.621	0.994
90-77	-10.4	-29.863	9.063	0.976
91-77	-3.4	-25.47	18.67	1
92-77	-4.5	-25.736	16.736	1
94-77	-10.875	-31.022	9.272	0.973
95-77	-9.364	-28.573	9.845	0.994
96-77	-7.2	-29.27	14.87	1
97-77	-7.917	-26.911	11.078	1
98-77	-14.6	-36.67	7.47	0.777
79-78	1.667	-25.195	28.529	1
80-78	-9.333	-36.195	17.529	1
81-78	-2.333	-40.322	35.655	1
82-78	-14.333	-52.322	23.655	1
84-78	-14.833	-44.866	15.199	0.992
85-78	0.917	-24.211	26.044	1
86-78	-6.556	-28.488	15.377	1
87-78	-1.476	-24.179	21.226	1
88-78	-4.333	-27.036	18.369	1
90-78	-4.733	-26.39	16.924	1
91-78	2.267	-21.76	26.293	1
92-78	1.167	-22.097	24.43	1
94-78	-5.208	-27.481	17.065	1
95-78	-3.697	-25.126	17.732	1
96-78	-1.533	-25.56	22.493	1
97-78	-2.25	-23.486	18.986	1
98-78	-8.933	-32.96	15.093	1
80-79	-11	-37.862	15.862	1
81-79	-4	-41.989	33.989	1
82-79	-16	-53.989	21.989	0.999
84-79	-16.5	-46.533	13.533	0.966
85-79	-0.75	-25.877	24.377	1
86-79	-8.222	-30.155	13.711	1
87-79	-3.143	-25.846	19.56	1
88-79	-6	-28.703	16.703	1
90-79	-6.4	-28.057	15.257	1
91-79	0.6	-23.426	24.626	1
92-79	-0.5	-23.763	22.763	1
94-79	-6.875	-29.148	15.398	1
95-79	-5.364	-26.792	16.065	1
96-79	-3.2	-27.226	20.826	1
97-79	-3.917	-25.153	17.32	1
98-79	-10.6	-34.626	13.426	0.999
81-80	7	-30.989	44.989	1
82-80	-5	-42.989	32.989	1
84-80	-5.5	-35.533	24.533	1
85-80	10.25	-14.877	35.377	1
86-80	2.778	-19.155	24.711	1
87-80	7.857	-14.846	30.56	1
88-80	5	-17.703	27.703	1
90-80	4.6	-17.057	26.257	1
91-80	11.6	-12.426	35.626	0.994
92-80	10.5	-12.763	33.763	0.998
94-80	4.125	-18.148	26.398	1
95-80	5.636	-15.792	27.065	1
96-80	7.8	-16.226	31.826	1
97-80	7.083	-14.153	28.32	1
98-80	0.4	-23.626	24.426	1
82-81	-12	-58.527	34.527	1
84-81	-12.5	-52.793	27.793	1
85-81	3.25	-33.533	40.033	1
86-81	-4.222	-38.901	30.457	1
87-81	0.857	-34.314	36.028	1
88-81	-2	-37.171	33.171	1
90-81	-2.4	-36.905	32.105	1
91-81	4.6	-31.439	40.639	1
92-81	3.5	-32.035	39.035	1
94-81	-2.875	-37.77	32.02	1
95-81	-1.364	-35.726	32.999	1
96-81	0.8	-35.239	36.839	1
97-81	0.083	-34.159	34.326	1
98-81	-6.6	-42.639	29.439	1
84-82	-0.5	-40.793	39.793	1
85-82	15.25	-21.533	52.033	1
86-82	7.778	-26.901	42.457	1
87-82	12.857	-22.314	48.028	1
88-82	10	-25.171	45.171	1
90-82	9.6	-24.905	44.105	1
91-82	16.6	-19.439	52.639	0.997
92-82	15.5	-20.035	51.035	0.999
94-82	9.125	-25.77	44.02	1
95-82	10.636	-23.726	44.999	1
96-82	12.8	-23.239	48.839	1
97-82	12.083	-22.159	46.326	1
98-82	5.4	-30.639	41.439	1
85-84	15.75	-12.742	44.242	0.963
86-84	8.278	-17.441	33.996	1
87-84	13.357	-13.021	39.735	0.989
88-84	10.5	-15.878	36.878	1
90-84	10.1	-15.384	35.584	1
91-84	17.1	-10.426	44.626	0.869
92-84	16	-10.862	42.862	0.913
94-84	9.625	-16.384	35.634	1
95-84	11.136	-14.154	36.426	0.999
96-84	13.3	-14.226	40.826	0.994
97-84	12.583	-12.544	37.711	0.99
98-84	5.9	-21.626	33.426	1
86-85	-7.472	-27.242	12.298	1
87-85	-2.393	-23.014	18.228	1
88-85	-5.25	-25.871	15.371	1
90-85	-5.65	-25.113	13.813	1
91-85	1.35	-20.72	23.42	1
92-85	0.25	-20.986	21.486	1
94-85	-6.125	-26.272	14.022	1
95-85	-4.614	-23.823	14.595	1
96-85	-2.45	-24.52	19.62	1
97-85	-3.167	-22.161	15.828	1
98-85	-9.85	-31.92	12.22	0.999
87-86	5.079	-11.5	21.659	1
88-86	2.222	-14.357	18.802	1
90-86	1.822	-13.294	16.938	1
91-86	8.822	-9.528	27.173	0.995
92-86	7.722	-9.617	25.062	0.999
94-86	1.347	-14.639	17.333	1
95-86	2.859	-11.929	17.646	1
96-86	5.022	-13.328	23.373	1
97-86	4.306	-10.202	18.813	1
98-86	-2.378	-20.728	15.973	1
88-87	-2.857	-20.443	14.728	1
90-87	-3.257	-19.47	12.956	1
91-87	3.743	-15.521	23.007	1
92-87	2.643	-15.661	20.946	1
94-87	-3.732	-20.759	13.295	1
95-87	-2.221	-18.127	13.686	1
96-87	-0.057	-19.321	19.207	1
97-87	-0.774	-16.421	14.873	1
98-87	-7.457	-26.721	11.807	1
90-88	-0.4	-16.613	15.813	1
91-88	6.6	-12.664	25.864	1
92-88	5.5	-12.803	23.803	1
94-88	-0.875	-17.902	16.152	1
95-88	0.636	-15.27	16.543	1
96-88	2.8	-16.464	22.064	1
97-88	2.083	-13.563	17.73	1
98-88	-4.6	-23.864	14.664	1
91-90	7	-11.02	25.02	1
92-90	5.9	-11.089	22.889	1
94-90	-0.475	-16.08	15.13	1
95-90	1.036	-13.338	15.411	1
96-90	3.2	-14.82	21.22	1
97-90	2.483	-11.603	16.57	1
98-90	-4.2	-22.22	13.82	1
92-91	-1.1	-21.021	18.821	1
94-91	-7.475	-26.23	11.28	1
95-91	-5.964	-23.708	11.781	1
96-91	-3.8	-24.607	17.007	1
97-91	-4.517	-22.029	12.995	1
98-91	-11.2	-32.007	9.607	0.974
94-92	-6.375	-24.143	11.393	1
95-92	-4.864	-21.561	11.833	1
96-92	-2.7	-22.621	17.221	1
97-92	-3.417	-19.866	13.033	1
98-92	-10.1	-30.021	9.821	0.988
95-94	1.511	-13.776	16.798	1
96-94	3.675	-15.08	22.43	1
97-94	2.958	-12.058	17.975	1
98-94	-3.725	-22.48	15.03	1
96-95	2.164	-15.581	19.908	1
97-95	1.447	-12.286	15.18	1
98-95	-5.236	-22.981	12.508	1
97-96	-0.717	-18.229	16.795	1
98-96	-7.4	-28.207	13.407	1
98-97	-6.683	-24.195	10.829	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	35	0.837	0.723
	117

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291059823f3wex1c4weth8cx/3t53r1291059763.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291059823f3wex1c4weth8cx/3t53r1291059763.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291059823f3wex1c4weth8cx/44ekc1291059763.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291059823f3wex1c4weth8cx/44ekc1291059763.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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