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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: Sun, 06 Dec 2009 10:37:41 -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/06/t1260121421bo1qmqxb7ha9qjj.htm/, Retrieved Sun, 06 Dec 2009 18:43:45 +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/2009/Dec/06/t1260121421bo1qmqxb7ha9qjj.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 91 2 88 2 94 3 90 1 73 1 68 2 80 2 86 1 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 1 91 2 90 3 115 2 84 1 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 2 88 1 84 1 91 2 101 2 98 1 78 3 109 1 102 1 81 1 97 2 75 2 97 2 0 1 101 1 101 2 95 2 95 2 91 2 95 2 90 3 107 2 92 1 86 1 70 2 95 1 96 2 91 3 87 2 92 2 97 3 102 1 91 2 68 1 88 2 97 1 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 2 107 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 91 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 1 95 2 97 1 97 3 92 3 115 3 88 2 87 2 100 2 98 1 102 2 91 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	8 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
MVRBIQ0 ~ WISCRY7V
means	2	0	0	-0.333	0.5	0	0	0.333	1	1	1	-1	0.75	-0.5	-0.667	-1	-1	-0.6	-0.75	-0.667	-0.667	-0.333	-1	0	-0.5	-0.5	-0.444	-0.143	0.286	-0.3	-0.091	0	0	-0.455	-0.4	-0.333	0

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	36	27.933	0.776	2.083	0.002
Residuals	123	45.811	0.372

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
100-0	0	-2.782	2.782	1
101-0	0	-2.576	2.576	1
102-0	-0.333	-3.116	2.449	1
103-0	0.5	-2.451	3.451	1
105-0	0	-3.408	3.408	1
106-0	0	-2.951	2.951	1
107-0	0.333	-2.449	3.116	1
108-0	1	-2.408	4.408	1
109-0	1	-1.951	3.951	1
111-0	1	-1.694	3.694	1
112-0	-1	-4.408	2.408	1
115-0	0.75	-1.944	3.444	1
68-0	-0.5	-3.194	2.194	1
70-0	-0.667	-3.449	2.116	1
72-0	-1	-4.408	2.408	1
73-0	-1	-4.408	2.408	1
75-0	-0.6	-3.24	2.04	1
77-0	-0.75	-3.444	1.944	1
78-0	-0.667	-3.449	2.116	1
79-0	-0.667	-3.449	2.116	1
80-0	-0.333	-3.116	2.449	1
81-0	-1	-4.408	2.408	1
82-0	0	-3.408	3.408	1
84-0	-0.5	-3.451	2.451	1
85-0	-0.5	-3.194	2.194	1
86-0	-0.444	-2.984	2.096	1
87-0	-0.143	-2.719	2.433	1
88-0	0.286	-2.29	2.862	1
90-0	-0.3	-2.827	2.227	1
91-0	-0.091	-2.608	2.426	1
92-0	0	-2.603	2.603	1
94-0	0	-2.556	2.556	1
95-0	-0.455	-2.971	2.062	1
96-0	-0.4	-3.04	2.24	1
97-0	-0.333	-2.841	2.175	1
98-0	0	-2.64	2.64	1
101-100	0	-1.663	1.663	1
102-100	-0.333	-2.301	1.634	1
103-100	0.5	-1.7	2.7	1
105-100	0	-2.782	2.782	1
106-100	0	-2.2	2.2	1
107-100	0.333	-1.634	2.301	1
108-100	1	-1.782	3.782	1
109-100	1	-1.2	3.2	0.998
111-100	1	-0.84	2.84	0.973
112-100	-1	-3.782	1.782	1
115-100	0.75	-1.09	2.59	1
68-100	-0.5	-2.34	1.34	1
70-100	-0.667	-2.634	1.301	1
72-100	-1	-3.782	1.782	1
73-100	-1	-3.782	1.782	1
75-100	-0.6	-2.36	1.16	1
77-100	-0.75	-2.59	1.09	1
78-100	-0.667	-2.634	1.301	1
79-100	-0.667	-2.634	1.301	1
80-100	-0.333	-2.301	1.634	1
81-100	-1	-3.782	1.782	1
82-100	0	-2.782	2.782	1
84-100	-0.5	-2.7	1.7	1
85-100	-0.5	-2.34	1.34	1
86-100	-0.444	-2.051	1.162	1
87-100	-0.143	-1.806	1.52	1
88-100	0.286	-1.377	1.949	1
90-100	-0.3	-1.886	1.286	1
91-100	-0.091	-1.66	1.479	1
92-100	0	-1.704	1.704	1
94-100	0	-1.631	1.631	1
95-100	-0.455	-2.024	1.115	1
96-100	-0.4	-2.16	1.36	1
97-100	-0.333	-1.889	1.222	1
98-100	0	-1.76	1.76	1
102-101	-0.333	-1.996	1.329	1
103-101	0.5	-1.432	2.432	1
105-101	0	-2.576	2.576	1
106-101	0	-1.932	1.932	1
107-101	0.333	-1.329	1.996	1
108-101	1	-1.576	3.576	1
109-101	1	-0.932	2.932	0.986
111-101	1	-0.51	2.51	0.783
112-101	-1	-3.576	1.576	1
115-101	0.75	-0.76	2.26	0.992
68-101	-0.5	-2.01	1.01	1
70-101	-0.667	-2.329	0.996	1
72-101	-1	-3.576	1.576	1
73-101	-1	-3.576	1.576	1
75-101	-0.6	-2.011	0.811	1
77-101	-0.75	-2.26	0.76	0.992
78-101	-0.667	-2.329	0.996	1
79-101	-0.667	-2.329	0.996	1
80-101	-0.333	-1.996	1.329	1
81-101	-1	-3.576	1.576	1
82-101	0	-2.576	2.576	1
84-101	-0.5	-2.432	1.432	1
85-101	-0.5	-2.01	1.01	1
86-101	-0.444	-1.659	0.77	1
87-101	-0.143	-1.431	1.145	1
88-101	0.286	-1.002	1.574	1
90-101	-0.3	-1.487	0.887	1
91-101	-0.091	-1.256	1.074	1
92-101	0	-1.341	1.341	1
94-101	0	-1.247	1.247	1
95-101	-0.455	-1.62	0.71	1
96-101	-0.4	-1.811	1.011	1
97-101	-0.333	-1.479	0.813	1
98-101	0	-1.411	1.411	1
103-102	0.833	-1.366	3.033	1
105-102	0.333	-2.449	3.116	1
106-102	0.333	-1.866	2.533	1
107-102	0.667	-1.301	2.634	1
108-102	1.333	-1.449	4.116	0.996
109-102	1.333	-0.866	3.533	0.902
111-102	1.333	-0.507	3.174	0.601
112-102	-0.667	-3.449	2.116	1
115-102	1.083	-0.757	2.924	0.928
68-102	-0.167	-2.007	1.674	1
70-102	-0.333	-2.301	1.634	1
72-102	-0.667	-3.449	2.116	1
73-102	-0.667	-3.449	2.116	1
75-102	-0.267	-2.026	1.493	1
77-102	-0.417	-2.257	1.424	1
78-102	-0.333	-2.301	1.634	1
79-102	-0.333	-2.301	1.634	1
80-102	0	-1.967	1.967	1
81-102	-0.667	-3.449	2.116	1
82-102	0.333	-2.449	3.116	1
84-102	-0.167	-2.366	2.033	1
85-102	-0.167	-2.007	1.674	1
86-102	-0.111	-1.718	1.495	1
87-102	0.19	-1.472	1.853	1
88-102	0.619	-1.044	2.282	1
90-102	0.033	-1.553	1.62	1
91-102	0.242	-1.327	1.812	1
92-102	0.333	-1.371	2.037	1
94-102	0.333	-1.298	1.965	1
95-102	-0.121	-1.691	1.448	1
96-102	-0.067	-1.826	1.693	1
97-102	0	-1.555	1.555	1
98-102	0.333	-1.426	2.093	1
105-103	-0.5	-3.451	2.451	1
106-103	-0.5	-2.91	1.91	1
107-103	-0.167	-2.366	2.033	1
108-103	0.5	-2.451	3.451	1
109-103	0.5	-1.91	2.91	1
111-103	0.5	-1.587	2.587	1
112-103	-1.5	-4.451	1.451	0.989
115-103	0.25	-1.837	2.337	1
68-103	-1	-3.087	1.087	0.996
70-103	-1.167	-3.366	1.033	0.98
72-103	-1.5	-4.451	1.451	0.989
73-103	-1.5	-4.451	1.451	0.989
75-103	-1.1	-3.116	0.916	0.971
77-103	-1.25	-3.337	0.837	0.914
78-103	-1.167	-3.366	1.033	0.98
79-103	-1.167	-3.366	1.033	0.98
80-103	-0.833	-3.033	1.366	1
81-103	-1.5	-4.451	1.451	0.989
82-103	-0.5	-3.451	2.451	1
84-103	-1	-3.41	1.41	1
85-103	-1	-3.087	1.087	0.996
86-103	-0.944	-2.828	0.939	0.991
87-103	-0.643	-2.575	1.289	1
88-103	-0.214	-2.146	1.718	1
90-103	-0.8	-2.666	1.066	0.999
91-103	-0.591	-2.443	1.261	1
92-103	-0.5	-2.467	1.467	1
94-103	-0.5	-2.405	1.405	1
95-103	-0.955	-2.807	0.898	0.987
96-103	-0.9	-2.916	1.116	0.999
97-103	-0.833	-2.674	1.007	0.998
98-103	-0.5	-2.516	1.516	1
106-105	0	-2.951	2.951	1
107-105	0.333	-2.449	3.116	1
108-105	1	-2.408	4.408	1
109-105	1	-1.951	3.951	1
111-105	1	-1.694	3.694	1
112-105	-1	-4.408	2.408	1
115-105	0.75	-1.944	3.444	1
68-105	-0.5	-3.194	2.194	1
70-105	-0.667	-3.449	2.116	1
72-105	-1	-4.408	2.408	1
73-105	-1	-4.408	2.408	1
75-105	-0.6	-3.24	2.04	1
77-105	-0.75	-3.444	1.944	1
78-105	-0.667	-3.449	2.116	1
79-105	-0.667	-3.449	2.116	1
80-105	-0.333	-3.116	2.449	1
81-105	-1	-4.408	2.408	1
82-105	0	-3.408	3.408	1
84-105	-0.5	-3.451	2.451	1
85-105	-0.5	-3.194	2.194	1
86-105	-0.444	-2.984	2.096	1
87-105	-0.143	-2.719	2.433	1
88-105	0.286	-2.29	2.862	1
90-105	-0.3	-2.827	2.227	1
91-105	-0.091	-2.608	2.426	1
92-105	0	-2.603	2.603	1
94-105	0	-2.556	2.556	1
95-105	-0.455	-2.971	2.062	1
96-105	-0.4	-3.04	2.24	1
97-105	-0.333	-2.841	2.175	1
98-105	0	-2.64	2.64	1
107-106	0.333	-1.866	2.533	1
108-106	1	-1.951	3.951	1
109-106	1	-1.41	3.41	1
111-106	1	-1.087	3.087	0.996
112-106	-1	-3.951	1.951	1
115-106	0.75	-1.337	2.837	1
68-106	-0.5	-2.587	1.587	1
70-106	-0.667	-2.866	1.533	1
72-106	-1	-3.951	1.951	1
73-106	-1	-3.951	1.951	1
75-106	-0.6	-2.616	1.416	1
77-106	-0.75	-2.837	1.337	1
78-106	-0.667	-2.866	1.533	1
79-106	-0.667	-2.866	1.533	1
80-106	-0.333	-2.533	1.866	1
81-106	-1	-3.951	1.951	1
82-106	0	-2.951	2.951	1
84-106	-0.5	-2.91	1.91	1
85-106	-0.5	-2.587	1.587	1
86-106	-0.444	-2.328	1.439	1
87-106	-0.143	-2.075	1.789	1
88-106	0.286	-1.646	2.218	1
90-106	-0.3	-2.166	1.566	1
91-106	-0.091	-1.943	1.761	1
92-106	0	-1.967	1.967	1
94-106	0	-1.905	1.905	1
95-106	-0.455	-2.307	1.398	1
96-106	-0.4	-2.416	1.616	1
97-106	-0.333	-2.174	1.507	1
98-106	0	-2.016	2.016	1
108-107	0.667	-2.116	3.449	1
109-107	0.667	-1.533	2.866	1
111-107	0.667	-1.174	2.507	1
112-107	-1.333	-4.116	1.449	0.996
115-107	0.417	-1.424	2.257	1
68-107	-0.833	-2.674	1.007	0.998
70-107	-1	-2.967	0.967	0.989
72-107	-1.333	-4.116	1.449	0.996
73-107	-1.333	-4.116	1.449	0.996
75-107	-0.933	-2.693	0.826	0.98
77-107	-1.083	-2.924	0.757	0.928
78-107	-1	-2.967	0.967	0.989
79-107	-1	-2.967	0.967	0.989
80-107	-0.667	-2.634	1.301	1
81-107	-1.333	-4.116	1.449	0.996
82-107	-0.333	-3.116	2.449	1
84-107	-0.833	-3.033	1.366	1
85-107	-0.833	-2.674	1.007	0.998
86-107	-0.778	-2.384	0.829	0.995
87-107	-0.476	-2.139	1.187	1
88-107	-0.048	-1.71	1.615	1
90-107	-0.633	-2.22	0.953	1
91-107	-0.424	-1.994	1.145	1
92-107	-0.333	-2.037	1.371	1
94-107	-0.333	-1.965	1.298	1
95-107	-0.788	-2.357	0.782	0.991
96-107	-0.733	-2.493	1.026	1
97-107	-0.667	-2.222	0.889	0.999
98-107	-0.333	-2.093	1.426	1
109-108	0	-2.951	2.951	1
111-108	0	-2.694	2.694	1
112-108	-2	-5.408	1.408	0.931
115-108	-0.25	-2.944	2.444	1
68-108	-1.5	-4.194	1.194	0.963
70-108	-1.667	-4.449	1.116	0.914
72-108	-2	-5.408	1.408	0.931
73-108	-2	-5.408	1.408	0.931
75-108	-1.6	-4.24	1.04	0.902
77-108	-1.75	-4.444	0.944	0.814
78-108	-1.667	-4.449	1.116	0.914
79-108	-1.667	-4.449	1.116	0.914
80-108	-1.333	-4.116	1.449	0.996
81-108	-2	-5.408	1.408	0.931
82-108	-1	-4.408	2.408	1
84-108	-1.5	-4.451	1.451	0.989
85-108	-1.5	-4.194	1.194	0.963
86-108	-1.444	-3.984	1.096	0.952
87-108	-1.143	-3.719	1.433	0.999
88-108	-0.714	-3.29	1.862	1
90-108	-1.3	-3.827	1.227	0.987
91-108	-1.091	-3.608	1.426	0.999
92-108	-1	-3.603	1.603	1
94-108	-1	-3.556	1.556	1
95-108	-1.455	-3.971	1.062	0.942
96-108	-1.4	-4.04	1.24	0.98
97-108	-1.333	-3.841	1.175	0.98
98-108	-1	-3.64	1.64	1
111-109	0	-2.087	2.087	1
112-109	-2	-4.951	0.951	0.741
115-109	-0.25	-2.337	1.837	1
68-109	-1.5	-3.587	0.587	0.619
70-109	-1.667	-3.866	0.533	0.498
72-109	-2	-4.951	0.951	0.741
73-109	-2	-4.951	0.951	0.741
75-109	-1.6	-3.616	0.416	0.39
77-109	-1.75	-3.837	0.337	0.273
78-109	-1.667	-3.866	0.533	0.498
79-109	-1.667	-3.866	0.533	0.498
80-109	-1.333	-3.533	0.866	0.902
81-109	-2	-4.951	0.951	0.741
82-109	-1	-3.951	1.951	1
84-109	-1.5	-3.91	0.91	0.873
85-109	-1.5	-3.587	0.587	0.619
86-109	-1.444	-3.328	0.439	0.47
87-109	-1.143	-3.075	0.789	0.924
88-109	-0.714	-2.646	1.218	1
90-109	-1.3	-3.166	0.566	0.687
91-109	-1.091	-2.943	0.761	0.928
92-109	-1	-2.967	0.967	0.989
94-109	-1	-2.905	0.905	0.983
95-109	-1.455	-3.307	0.398	0.415
96-109	-1.4	-3.416	0.616	0.693
97-109	-1.333	-3.174	0.507	0.601
98-109	-1	-3.016	1.016	0.993
112-111	-2	-4.694	0.694	0.545
115-111	-0.25	-1.954	1.454	1
68-111	-1.5	-3.204	0.204	0.187
70-111	-1.667	-3.507	0.174	0.145
72-111	-2	-4.694	0.694	0.545
73-111	-2	-4.694	0.694	0.545
75-111	-1.6	-3.216	0.016	0.057
77-111	-1.75	-3.454	-0.046	0.036
78-111	-1.667	-3.507	0.174	0.145
79-111	-1.667	-3.507	0.174	0.145
80-111	-1.333	-3.174	0.507	0.601
81-111	-2	-4.694	0.694	0.545
82-111	-1	-3.694	1.694	1
84-111	-1.5	-3.587	0.587	0.619
85-111	-1.5	-3.204	0.204	0.187
86-111	-1.444	-2.892	0.004	0.052
87-111	-1.143	-2.653	0.367	0.501
88-111	-0.714	-2.225	0.796	0.997
90-111	-1.3	-2.726	0.126	0.136
91-111	-1.091	-2.498	0.316	0.444
92-111	-1	-2.555	0.555	0.83
94-111	-1	-2.476	0.476	0.741
95-111	-1.455	-2.861	-0.048	0.033
96-111	-1.4	-3.016	0.216	0.214
97-111	-1.333	-2.725	0.058	0.082
98-111	-1	-2.616	0.616	0.88
115-112	1.75	-0.944	4.444	0.814
68-112	0.5	-2.194	3.194	1
70-112	0.333	-2.449	3.116	1
72-112	0	-3.408	3.408	1
73-112	0	-3.408	3.408	1
75-112	0.4	-2.24	3.04	1
77-112	0.25	-2.444	2.944	1
78-112	0.333	-2.449	3.116	1
79-112	0.333	-2.449	3.116	1
80-112	0.667	-2.116	3.449	1
81-112	0	-3.408	3.408	1
82-112	1	-2.408	4.408	1
84-112	0.5	-2.451	3.451	1
85-112	0.5	-2.194	3.194	1
86-112	0.556	-1.984	3.096	1
87-112	0.857	-1.719	3.433	1
88-112	1.286	-1.29	3.862	0.992
90-112	0.7	-1.827	3.227	1
91-112	0.909	-1.608	3.426	1
92-112	1	-1.603	3.603	1
94-112	1	-1.556	3.556	1
95-112	0.545	-1.971	3.062	1
96-112	0.6	-2.04	3.24	1
97-112	0.667	-1.841	3.175	1
98-112	1	-1.64	3.64	1
68-115	-1.25	-2.954	0.454	0.573
70-115	-1.417	-3.257	0.424	0.461
72-115	-1.75	-4.444	0.944	0.814
73-115	-1.75	-4.444	0.944	0.814
75-115	-1.35	-2.966	0.266	0.281
77-115	-1.5	-3.204	0.204	0.187
78-115	-1.417	-3.257	0.424	0.461
79-115	-1.417	-3.257	0.424	0.461
80-115	-1.083	-2.924	0.757	0.928
81-115	-1.75	-4.444	0.944	0.814
82-115	-0.75	-3.444	1.944	1
84-115	-1.25	-3.337	0.837	0.914
85-115	-1.25	-2.954	0.454	0.573
86-115	-1.194	-2.642	0.254	0.307
87-115	-0.893	-2.403	0.617	0.925
88-115	-0.464	-1.975	1.046	1
90-115	-1.05	-2.476	0.376	0.563
91-115	-0.841	-2.248	0.566	0.915
92-115	-0.75	-2.305	0.805	0.995
94-115	-0.75	-2.226	0.726	0.989
95-115	-1.205	-2.611	0.202	0.234
96-115	-1.15	-2.766	0.466	0.642
97-115	-1.083	-2.475	0.308	0.434
98-115	-0.75	-2.366	0.866	0.998
70-68	-0.167	-2.007	1.674	1
72-68	-0.5	-3.194	2.194	1
73-68	-0.5	-3.194	2.194	1
75-68	-0.1	-1.716	1.516	1
77-68	-0.25	-1.954	1.454	1
78-68	-0.167	-2.007	1.674	1
79-68	-0.167	-2.007	1.674	1
80-68	0.167	-1.674	2.007	1
81-68	-0.5	-3.194	2.194	1
82-68	0.5	-2.194	3.194	1
84-68	0	-2.087	2.087	1
85-68	0	-1.704	1.704	1
86-68	0.056	-1.392	1.504	1
87-68	0.357	-1.153	1.867	1
88-68	0.786	-0.725	2.296	0.985
90-68	0.2	-1.226	1.626	1
91-68	0.409	-0.998	1.816	1
92-68	0.5	-1.055	2.055	1
94-68	0.5	-0.976	1.976	1
95-68	0.045	-1.361	1.452	1
96-68	0.1	-1.516	1.716	1
97-68	0.167	-1.225	1.558	1
98-68	0.5	-1.116	2.116	1
72-70	-0.333	-3.116	2.449	1
73-70	-0.333	-3.116	2.449	1
75-70	0.067	-1.693	1.826	1
77-70	-0.083	-1.924	1.757	1
78-70	0	-1.967	1.967	1
79-70	0	-1.967	1.967	1
80-70	0.333	-1.634	2.301	1
81-70	-0.333	-3.116	2.449	1
82-70	0.667	-2.116	3.449	1
84-70	0.167	-2.033	2.366	1
85-70	0.167	-1.674	2.007	1
86-70	0.222	-1.384	1.829	1
87-70	0.524	-1.139	2.187	1
88-70	0.952	-0.71	2.615	0.947
90-70	0.367	-1.22	1.953	1
91-70	0.576	-0.994	2.145	1
92-70	0.667	-1.037	2.371	1
94-70	0.667	-0.965	2.298	1
95-70	0.212	-1.357	1.782	1
96-70	0.267	-1.493	2.026	1
97-70	0.333	-1.222	1.889	1
98-70	0.667	-1.093	2.426	1
73-72	0	-3.408	3.408	1
75-72	0.4	-2.24	3.04	1
77-72	0.25	-2.444	2.944	1
78-72	0.333	-2.449	3.116	1
79-72	0.333	-2.449	3.116	1
80-72	0.667	-2.116	3.449	1
81-72	0	-3.408	3.408	1
82-72	1	-2.408	4.408	1
84-72	0.5	-2.451	3.451	1
85-72	0.5	-2.194	3.194	1
86-72	0.556	-1.984	3.096	1
87-72	0.857	-1.719	3.433	1
88-72	1.286	-1.29	3.862	0.992
90-72	0.7	-1.827	3.227	1
91-72	0.909	-1.608	3.426	1
92-72	1	-1.603	3.603	1
94-72	1	-1.556	3.556	1
95-72	0.545	-1.971	3.062	1
96-72	0.6	-2.04	3.24	1
97-72	0.667	-1.841	3.175	1
98-72	1	-1.64	3.64	1
75-73	0.4	-2.24	3.04	1
77-73	0.25	-2.444	2.944	1
78-73	0.333	-2.449	3.116	1
79-73	0.333	-2.449	3.116	1
80-73	0.667	-2.116	3.449	1
81-73	0	-3.408	3.408	1
82-73	1	-2.408	4.408	1
84-73	0.5	-2.451	3.451	1
85-73	0.5	-2.194	3.194	1
86-73	0.556	-1.984	3.096	1
87-73	0.857	-1.719	3.433	1
88-73	1.286	-1.29	3.862	0.992
90-73	0.7	-1.827	3.227	1
91-73	0.909	-1.608	3.426	1
92-73	1	-1.603	3.603	1
94-73	1	-1.556	3.556	1
95-73	0.545	-1.971	3.062	1
96-73	0.6	-2.04	3.24	1
97-73	0.667	-1.841	3.175	1
98-73	1	-1.64	3.64	1
77-75	-0.15	-1.766	1.466	1
78-75	-0.067	-1.826	1.693	1
79-75	-0.067	-1.826	1.693	1
80-75	0.267	-1.493	2.026	1
81-75	-0.4	-3.04	2.24	1
82-75	0.6	-2.04	3.24	1
84-75	0.1	-1.916	2.116	1
85-75	0.1	-1.516	1.716	1
86-75	0.156	-1.188	1.5	1
87-75	0.457	-0.954	1.868	1
88-75	0.886	-0.525	2.297	0.862
90-75	0.3	-1.02	1.62	1
91-75	0.509	-0.791	1.809	1
92-75	0.6	-0.859	2.059	1
94-75	0.6	-0.774	1.974	0.999
95-75	0.145	-1.154	1.445	1
96-75	0.2	-1.324	1.724	1
97-75	0.267	-1.016	1.549	1
98-75	0.6	-0.924	2.124	1
78-77	0.083	-1.757	1.924	1
79-77	0.083	-1.757	1.924	1
80-77	0.417	-1.424	2.257	1
81-77	-0.25	-2.944	2.444	1
82-77	0.75	-1.944	3.444	1
84-77	0.25	-1.837	2.337	1
85-77	0.25	-1.454	1.954	1
86-77	0.306	-1.142	1.754	1
87-77	0.607	-0.903	2.117	1
88-77	1.036	-0.475	2.546	0.718
90-77	0.45	-0.976	1.876	1
91-77	0.659	-0.748	2.066	0.997
92-77	0.75	-0.805	2.305	0.995
94-77	0.75	-0.726	2.226	0.989
95-77	0.295	-1.111	1.702	1
96-77	0.35	-1.266	1.966	1
97-77	0.417	-0.975	1.808	1
98-77	0.75	-0.866	2.366	0.998
79-78	0	-1.967	1.967	1
80-78	0.333	-1.634	2.301	1
81-78	-0.333	-3.116	2.449	1
82-78	0.667	-2.116	3.449	1
84-78	0.167	-2.033	2.366	1
85-78	0.167	-1.674	2.007	1
86-78	0.222	-1.384	1.829	1
87-78	0.524	-1.139	2.187	1
88-78	0.952	-0.71	2.615	0.947
90-78	0.367	-1.22	1.953	1
91-78	0.576	-0.994	2.145	1
92-78	0.667	-1.037	2.371	1
94-78	0.667	-0.965	2.298	1
95-78	0.212	-1.357	1.782	1
96-78	0.267	-1.493	2.026	1
97-78	0.333	-1.222	1.889	1
98-78	0.667	-1.093	2.426	1
80-79	0.333	-1.634	2.301	1
81-79	-0.333	-3.116	2.449	1
82-79	0.667	-2.116	3.449	1
84-79	0.167	-2.033	2.366	1
85-79	0.167	-1.674	2.007	1
86-79	0.222	-1.384	1.829	1
87-79	0.524	-1.139	2.187	1
88-79	0.952	-0.71	2.615	0.947
90-79	0.367	-1.22	1.953	1
91-79	0.576	-0.994	2.145	1
92-79	0.667	-1.037	2.371	1
94-79	0.667	-0.965	2.298	1
95-79	0.212	-1.357	1.782	1
96-79	0.267	-1.493	2.026	1
97-79	0.333	-1.222	1.889	1
98-79	0.667	-1.093	2.426	1
81-80	-0.667	-3.449	2.116	1
82-80	0.333	-2.449	3.116	1
84-80	-0.167	-2.366	2.033	1
85-80	-0.167	-2.007	1.674	1
86-80	-0.111	-1.718	1.495	1
87-80	0.19	-1.472	1.853	1
88-80	0.619	-1.044	2.282	1
90-80	0.033	-1.553	1.62	1
91-80	0.242	-1.327	1.812	1
92-80	0.333	-1.371	2.037	1
94-80	0.333	-1.298	1.965	1
95-80	-0.121	-1.691	1.448	1
96-80	-0.067	-1.826	1.693	1
97-80	0	-1.555	1.555	1
98-80	0.333	-1.426	2.093	1
82-81	1	-2.408	4.408	1
84-81	0.5	-2.451	3.451	1
85-81	0.5	-2.194	3.194	1
86-81	0.556	-1.984	3.096	1
87-81	0.857	-1.719	3.433	1
88-81	1.286	-1.29	3.862	0.992
90-81	0.7	-1.827	3.227	1
91-81	0.909	-1.608	3.426	1
92-81	1	-1.603	3.603	1
94-81	1	-1.556	3.556	1
95-81	0.545	-1.971	3.062	1
96-81	0.6	-2.04	3.24	1
97-81	0.667	-1.841	3.175	1
98-81	1	-1.64	3.64	1
84-82	-0.5	-3.451	2.451	1
85-82	-0.5	-3.194	2.194	1
86-82	-0.444	-2.984	2.096	1
87-82	-0.143	-2.719	2.433	1
88-82	0.286	-2.29	2.862	1
90-82	-0.3	-2.827	2.227	1
91-82	-0.091	-2.608	2.426	1
92-82	0	-2.603	2.603	1
94-82	0	-2.556	2.556	1
95-82	-0.455	-2.971	2.062	1
96-82	-0.4	-3.04	2.24	1
97-82	-0.333	-2.841	2.175	1
98-82	0	-2.64	2.64	1
85-84	0	-2.087	2.087	1
86-84	0.056	-1.828	1.939	1
87-84	0.357	-1.575	2.289	1
88-84	0.786	-1.146	2.718	1
90-84	0.2	-1.666	2.066	1
91-84	0.409	-1.443	2.261	1
92-84	0.5	-1.467	2.467	1
94-84	0.5	-1.405	2.405	1
95-84	0.045	-1.807	1.898	1
96-84	0.1	-1.916	2.116	1
97-84	0.167	-1.674	2.007	1
98-84	0.5	-1.516	2.516	1
86-85	0.056	-1.392	1.504	1
87-85	0.357	-1.153	1.867	1
88-85	0.786	-0.725	2.296	0.985
90-85	0.2	-1.226	1.626	1
91-85	0.409	-0.998	1.816	1
92-85	0.5	-1.055	2.055	1
94-85	0.5	-0.976	1.976	1
95-85	0.045	-1.361	1.452	1
96-85	0.1	-1.516	1.716	1
97-85	0.167	-1.225	1.558	1
98-85	0.5	-1.116	2.116	1
87-86	0.302	-0.913	1.516	1
88-86	0.73	-0.484	1.944	0.91
90-86	0.144	-0.963	1.252	1
91-86	0.354	-0.73	1.437	1
92-86	0.444	-0.826	1.714	1
94-86	0.444	-0.726	1.615	1
95-86	-0.01	-1.093	1.073	1
96-86	0.044	-1.3	1.388	1
97-86	0.111	-0.951	1.174	1
98-86	0.444	-0.9	1.788	1
88-87	0.429	-0.859	1.717	1
90-87	-0.157	-1.345	1.03	1
91-87	0.052	-1.113	1.217	1
92-87	0.143	-1.198	1.483	1
94-87	0.143	-1.104	1.39	1
95-87	-0.312	-1.477	0.853	1
96-87	-0.257	-1.668	1.154	1
97-87	-0.19	-1.336	0.956	1
98-87	0.143	-1.268	1.554	1
90-88	-0.586	-1.773	0.602	0.993
91-88	-0.377	-1.542	0.788	1
92-88	-0.286	-1.626	1.055	1
94-88	-0.286	-1.533	0.961	1
95-88	-0.74	-1.905	0.425	0.846
96-88	-0.686	-2.097	0.725	0.995
97-88	-0.619	-1.765	0.527	0.975
98-88	-0.286	-1.697	1.125	1
91-90	0.209	-0.844	1.262	1
92-90	0.3	-0.944	1.544	1
94-90	0.3	-0.843	1.443	1
95-90	-0.155	-1.207	0.898	1
96-90	-0.1	-1.42	1.22	1
97-90	-0.033	-1.065	0.998	1
98-90	0.3	-1.02	1.62	1
92-91	0.091	-1.132	1.314	1
94-91	0.091	-1.029	1.211	1
95-91	-0.364	-1.391	0.664	1
96-91	-0.309	-1.609	0.991	1
97-91	-0.242	-1.248	0.763	1
98-91	0.091	-1.209	1.391	1
94-92	0	-1.301	1.301	1
95-92	-0.455	-1.677	0.768	1
96-92	-0.4	-1.859	1.059	1
97-92	-0.333	-1.538	0.871	1
98-92	0	-1.459	1.459	1
95-94	-0.455	-1.574	0.665	1
96-94	-0.4	-1.774	0.974	1
97-94	-0.333	-1.433	0.767	1
98-94	0	-1.374	1.374	1
96-95	0.055	-1.245	1.354	1
97-95	0.121	-0.885	1.127	1
98-95	0.455	-0.845	1.754	1
97-96	0.067	-1.216	1.349	1
98-96	0.4	-1.124	1.924	1
98-97	0.333	-0.949	1.616	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	36	0.764	0.823
	123

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260121421bo1qmqxb7ha9qjj/3e5um1260121052.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260121421bo1qmqxb7ha9qjj/3e5um1260121052.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260121421bo1qmqxb7ha9qjj/4mt691260121052.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260121421bo1qmqxb7ha9qjj/4mt691260121052.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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