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maternal warmth-year 7 IQ

*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: Mon, 14 Dec 2009 16:45:53 -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/t12608345341gyor0ksczdfft9.htm/, Retrieved Tue, 15 Dec 2009 00:48:57 +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/t12608345341gyor0ksczdfft9.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 «

3 0 6 88 8 94 8 90 7 73 5 68 7 80 8 86 9 86 9 91 3 79 9 96 7 92 9 72 8 96 6 70 7 86 8 87 9 88 7 79 6 90 8 95 7 85 7 0 8 90 9 115 9 84 7 79 4 94 7 97 7 86 9 111 7 87 9 98 10 87 5 68 6 88 9 82 9 111 8 75 6 94 6 95 5 80 8 95 8 68 5 94 6 88 9 84 8 0 4 101 8 98 9 78 7 109 7 102 6 81 9 97 9 75 8 97 4 0 6 101 10 101 8 95 7 95 7 0 8 95 3 90 8 107 10 92 7 86 5 70 10 95 5 96 8 91 9 87 6 92 9 97 8 102 5 91 8 68 3 88 7 97 8 90 10 101 9 94 10 101 9 109 8 100 8 103 8 94 9 97 4 85 6 75 7 77 4 87 9 78 7 108 8 97 0 105 8 106 7 107 7 95 9 107 8 115 8 101 9 85 9 90 10 115 7 95 8 97 5 112 9 97 8 77 7 90 8 94 8 103 7 77 6 98 7 90 7 111 6 77 6 88 7 75 9 92 6 78 10 106 4 80 8 87 7 92 10 0 0 111 5 86 9 85 8 90 9 101 8 94 8 86 9 86 8 90 9 75 7 86 6 91 8 97 6 91 5 70 3 98 6 96 8 95 7 100 8 95 6 97 9 97 9 92 10 115 7 88 5 87 8 100 9 98 8 102 8 0 4 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	9 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
maternalwarmth ~ yr7iq
means	6.714	0.952	1.429	0.952	1.286	-6.714	2.286	1.286	0.286	1.286	-0.464	-1.714	2.536	-0.214	-1.381	2.286	0.286	1.086	0.286	1.286	-1.048	-1.381	-0.714	2.286	2.286	0.536	0.73	0.571	-0.571	0.486	0.086	1.286	0.286	1.013	-0.314	1.369	0.286

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
yr7iq	36	174.1	4.836	1.554	0.04
Residuals	123	382.875	3.113

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
100-0	0.952	-3.855	5.759	1
101-0	1.429	-2.295	5.152	1
102-0	0.952	-3.855	5.759	1
103-0	1.286	-4.3	6.871	1
105-0	-6.714	-14.161	0.733	0.151
106-0	2.286	-3.3	7.871	1
107-0	1.286	-3.521	6.093	1
108-0	0.286	-7.161	7.733	1
109-0	1.286	-4.3	6.871	1
111-0	-0.464	-4.831	3.902	1
112-0	-1.714	-9.161	5.733	1
115-0	2.536	-1.831	6.902	0.938
68-0	-0.214	-4.581	4.152	1
70-0	-1.381	-6.188	3.426	1
72-0	2.286	-5.161	9.733	1
73-0	0.286	-7.161	7.733	1
75-0	1.086	-2.993	5.165	1
77-0	0.286	-4.081	4.652	1
78-0	1.286	-3.521	6.093	1
79-0	-1.048	-5.855	3.759	1
80-0	-1.381	-6.188	3.426	1
81-0	-0.714	-8.161	6.733	1
82-0	2.286	-5.161	9.733	1
84-0	2.286	-3.3	7.871	1
85-0	0.536	-3.831	4.902	1
86-0	0.73	-2.78	4.241	1
87-0	0.571	-3.152	4.295	1
88-0	-0.571	-4.295	3.152	1
90-0	0.486	-2.947	3.919	1
91-0	0.086	-3.993	4.165	1
92-0	1.286	-2.59	5.161	1
94-0	0.286	-3.32	3.891	1
95-0	1.013	-2.355	4.381	1
96-0	-0.314	-4.393	3.765	1
97-0	1.369	-1.944	4.682	1
98-0	0.286	-3.793	4.365	1
101-100	0.476	-4.331	5.283	1
102-100	0	-5.688	5.688	1
103-100	0.333	-6.026	6.693	1
105-100	-7.667	-15.71	0.377	0.087
106-100	1.333	-5.026	7.693	1
107-100	0.333	-5.354	6.021	1
108-100	-0.667	-8.71	7.377	1
109-100	0.333	-6.026	6.693	1
111-100	-1.417	-6.737	3.904	1
112-100	-2.667	-10.71	5.377	1
115-100	1.583	-3.737	6.904	1
68-100	-1.167	-6.487	4.154	1
70-100	-2.333	-8.021	3.354	1
72-100	1.333	-6.71	9.377	1
73-100	-0.667	-8.71	7.377	1
75-100	0.133	-4.954	5.221	1
77-100	-0.667	-5.987	4.654	1
78-100	0.333	-5.354	6.021	1
79-100	-2	-7.688	3.688	1
80-100	-2.333	-8.021	3.354	1
81-100	-1.667	-9.71	6.377	1
82-100	1.333	-6.71	9.377	1
84-100	1.333	-5.026	7.693	1
85-100	-0.417	-5.737	4.904	1
86-100	-0.222	-4.866	4.422	1
87-100	-0.381	-5.188	4.426	1
88-100	-1.524	-6.331	3.283	1
90-100	-0.467	-5.052	4.119	1
91-100	-0.867	-5.954	4.221	1
92-100	0.333	-4.592	5.259	1
94-100	-0.667	-5.383	4.049	1
95-100	0.061	-4.477	4.598	1
96-100	-1.267	-6.354	3.821	1
97-100	0.417	-4.08	4.913	1
98-100	-0.667	-5.754	4.421	1
102-101	-0.476	-5.283	4.331	1
103-101	-0.143	-5.728	5.442	1
105-101	-8.143	-15.59	-0.696	0.015
106-101	0.857	-4.728	6.442	1
107-101	-0.143	-4.95	4.664	1
108-101	-1.143	-8.59	6.304	1
109-101	-0.143	-5.728	5.442	1
111-101	-1.893	-6.259	2.473	0.999
112-101	-3.143	-10.59	4.304	1
115-101	1.107	-3.259	5.473	1
68-101	-1.643	-6.009	2.723	1
70-101	-2.81	-7.617	1.998	0.934
72-101	0.857	-6.59	8.304	1
73-101	-1.143	-8.59	6.304	1
75-101	-0.343	-4.422	3.736	1
77-101	-1.143	-5.509	3.223	1
78-101	-0.143	-4.95	4.664	1
79-101	-2.476	-7.283	2.331	0.987
80-101	-2.81	-7.617	1.998	0.934
81-101	-2.143	-9.59	5.304	1
82-101	0.857	-6.59	8.304	1
84-101	0.857	-4.728	6.442	1
85-101	-0.893	-5.259	3.473	1
86-101	-0.698	-4.209	2.812	1
87-101	-0.857	-4.581	2.866	1
88-101	-2	-5.724	1.724	0.977
90-101	-0.943	-4.376	2.49	1
91-101	-1.343	-5.422	2.736	1
92-101	-0.143	-4.018	3.733	1
94-101	-1.143	-4.748	2.462	1
95-101	-0.416	-3.784	2.953	1
96-101	-1.743	-5.822	2.336	0.999
97-101	-0.06	-3.373	3.254	1
98-101	-1.143	-5.222	2.936	1
103-102	0.333	-6.026	6.693	1
105-102	-7.667	-15.71	0.377	0.087
106-102	1.333	-5.026	7.693	1
107-102	0.333	-5.354	6.021	1
108-102	-0.667	-8.71	7.377	1
109-102	0.333	-6.026	6.693	1
111-102	-1.417	-6.737	3.904	1
112-102	-2.667	-10.71	5.377	1
115-102	1.583	-3.737	6.904	1
68-102	-1.167	-6.487	4.154	1
70-102	-2.333	-8.021	3.354	1
72-102	1.333	-6.71	9.377	1
73-102	-0.667	-8.71	7.377	1
75-102	0.133	-4.954	5.221	1
77-102	-0.667	-5.987	4.654	1
78-102	0.333	-5.354	6.021	1
79-102	-2	-7.688	3.688	1
80-102	-2.333	-8.021	3.354	1
81-102	-1.667	-9.71	6.377	1
82-102	1.333	-6.71	9.377	1
84-102	1.333	-5.026	7.693	1
85-102	-0.417	-5.737	4.904	1
86-102	-0.222	-4.866	4.422	1
87-102	-0.381	-5.188	4.426	1
88-102	-1.524	-6.331	3.283	1
90-102	-0.467	-5.052	4.119	1
91-102	-0.867	-5.954	4.221	1
92-102	0.333	-4.592	5.259	1
94-102	-0.667	-5.383	4.049	1
95-102	0.061	-4.477	4.598	1
96-102	-1.267	-6.354	3.821	1
97-102	0.417	-4.08	4.913	1
98-102	-0.667	-5.754	4.421	1
105-103	-8	-16.532	0.532	0.103
106-103	1	-5.966	7.966	1
107-103	0	-6.359	6.359	1
108-103	-1	-9.532	7.532	1
109-103	0	-6.966	6.966	1
111-103	-1.75	-7.783	4.283	1
112-103	-3	-11.532	5.532	1
115-103	1.25	-4.783	7.283	1
68-103	-1.5	-7.533	4.533	1
70-103	-2.667	-9.026	3.693	1
72-103	1	-7.532	9.532	1
73-103	-1	-9.532	7.532	1
75-103	-0.2	-6.028	5.628	1
77-103	-1	-7.033	5.033	1
78-103	0	-6.359	6.359	1
79-103	-2.333	-8.693	4.026	1
80-103	-2.667	-9.026	3.693	1
81-103	-2	-10.532	6.532	1
82-103	1	-7.532	9.532	1
84-103	1	-5.966	7.966	1
85-103	-0.75	-6.783	5.283	1
86-103	-0.556	-6.001	4.89	1
87-103	-0.714	-6.3	4.871	1
88-103	-1.857	-7.442	3.728	1
90-103	-0.8	-6.196	4.596	1
91-103	-1.2	-7.028	4.628	1
92-103	0	-5.688	5.688	1
94-103	-1	-6.507	4.507	1
95-103	-0.273	-5.628	5.082	1
96-103	-1.6	-7.428	4.228	1
97-103	0.083	-5.237	5.404	1
98-103	-1	-6.828	4.828	1
106-105	9	0.468	17.532	0.025
107-105	8	-0.044	16.044	0.053
108-105	7	-2.852	16.852	0.644
109-105	8	-0.532	16.532	0.103
111-105	6.25	-1.538	14.038	0.366
112-105	5	-4.852	14.852	0.99
115-105	9.25	1.462	17.038	0.004
68-105	6.5	-1.288	14.288	0.283
70-105	5.333	-2.71	13.377	0.781
72-105	9	-0.852	18.852	0.134
73-105	7	-2.852	16.852	0.644
75-105	7.8	0.169	15.431	0.038
77-105	7	-0.788	14.788	0.156
78-105	8	-0.044	16.044	0.053
79-105	5.667	-2.377	13.71	0.663
80-105	5.333	-2.71	13.377	0.781
81-105	6	-3.852	15.852	0.897
82-105	9	-0.852	18.852	0.134
84-105	9	0.468	17.532	0.025
85-105	7.25	-0.538	15.038	0.111
86-105	7.444	0.101	14.787	0.042
87-105	7.286	-0.161	14.733	0.065
88-105	6.143	-1.304	13.59	0.307
90-105	7.2	-0.106	14.506	0.06
91-105	6.8	-0.831	14.431	0.168
92-105	8	0.476	15.524	0.022
94-105	7	-0.389	14.389	0.093
95-105	7.727	0.451	15.003	0.023
96-105	6.4	-1.231	14.031	0.273
97-105	8.083	0.833	15.334	0.011
98-105	7	-0.631	14.631	0.129
107-106	-1	-7.359	5.359	1
108-106	-2	-10.532	6.532	1
109-106	-1	-7.966	5.966	1
111-106	-2.75	-8.783	3.283	0.998
112-106	-4	-12.532	4.532	0.997
115-106	0.25	-5.783	6.283	1
68-106	-2.5	-8.533	3.533	1
70-106	-3.667	-10.026	2.693	0.943
72-106	0	-8.532	8.532	1
73-106	-2	-10.532	6.532	1
75-106	-1.2	-7.028	4.628	1
77-106	-2	-8.033	4.033	1
78-106	-1	-7.359	5.359	1
79-106	-3.333	-9.693	3.026	0.983
80-106	-3.667	-10.026	2.693	0.943
81-106	-3	-11.532	5.532	1
82-106	0	-8.532	8.532	1
84-106	0	-6.966	6.966	1
85-106	-1.75	-7.783	4.283	1
86-106	-1.556	-7.001	3.89	1
87-106	-1.714	-7.3	3.871	1
88-106	-2.857	-8.442	2.728	0.988
90-106	-1.8	-7.196	3.596	1
91-106	-2.2	-8.028	3.628	1
92-106	-1	-6.688	4.688	1
94-106	-2	-7.507	3.507	1
95-106	-1.273	-6.628	4.082	1
96-106	-2.6	-8.428	3.228	0.999
97-106	-0.917	-6.237	4.404	1
98-106	-2	-7.828	3.828	1
108-107	-1	-9.044	7.044	1
109-107	0	-6.359	6.359	1
111-107	-1.75	-7.07	3.57	1
112-107	-3	-11.044	5.044	1
115-107	1.25	-4.07	6.57	1
68-107	-1.5	-6.82	3.82	1
70-107	-2.667	-8.354	3.021	0.997
72-107	1	-7.044	9.044	1
73-107	-1	-9.044	7.044	1
75-107	-0.2	-5.287	4.887	1
77-107	-1	-6.32	4.32	1
78-107	0	-5.688	5.688	1
79-107	-2.333	-8.021	3.354	1
80-107	-2.667	-8.354	3.021	0.997
81-107	-2	-10.044	6.044	1
82-107	1	-7.044	9.044	1
84-107	1	-5.359	7.359	1
85-107	-0.75	-6.07	4.57	1
86-107	-0.556	-5.2	4.089	1
87-107	-0.714	-5.521	4.093	1
88-107	-1.857	-6.664	2.95	1
90-107	-0.8	-5.386	3.786	1
91-107	-1.2	-6.287	3.887	1
92-107	0	-4.926	4.926	1
94-107	-1	-5.716	3.716	1
95-107	-0.273	-4.81	4.265	1
96-107	-1.6	-6.687	3.487	1
97-107	0.083	-4.413	4.58	1
98-107	-1	-6.087	4.087	1
109-108	1	-7.532	9.532	1
111-108	-0.75	-8.538	7.038	1
112-108	-2	-11.852	7.852	1
115-108	2.25	-5.538	10.038	1
68-108	-0.5	-8.288	7.288	1
70-108	-1.667	-9.71	6.377	1
72-108	2	-7.852	11.852	1
73-108	0	-9.852	9.852	1
75-108	0.8	-6.831	8.431	1
77-108	0	-7.788	7.788	1
78-108	1	-7.044	9.044	1
79-108	-1.333	-9.377	6.71	1
80-108	-1.667	-9.71	6.377	1
81-108	-1	-10.852	8.852	1
82-108	2	-7.852	11.852	1
84-108	2	-6.532	10.532	1
85-108	0.25	-7.538	8.038	1
86-108	0.444	-6.899	7.787	1
87-108	0.286	-7.161	7.733	1
88-108	-0.857	-8.304	6.59	1
90-108	0.2	-7.106	7.506	1
91-108	-0.2	-7.831	7.431	1
92-108	1	-6.524	8.524	1
94-108	0	-7.389	7.389	1
95-108	0.727	-6.549	8.003	1
96-108	-0.6	-8.231	7.031	1
97-108	1.083	-6.167	8.334	1
98-108	0	-7.631	7.631	1
111-109	-1.75	-7.783	4.283	1
112-109	-3	-11.532	5.532	1
115-109	1.25	-4.783	7.283	1
68-109	-1.5	-7.533	4.533	1
70-109	-2.667	-9.026	3.693	1
72-109	1	-7.532	9.532	1
73-109	-1	-9.532	7.532	1
75-109	-0.2	-6.028	5.628	1
77-109	-1	-7.033	5.033	1
78-109	0	-6.359	6.359	1
79-109	-2.333	-8.693	4.026	1
80-109	-2.667	-9.026	3.693	1
81-109	-2	-10.532	6.532	1
82-109	1	-7.532	9.532	1
84-109	1	-5.966	7.966	1
85-109	-0.75	-6.783	5.283	1
86-109	-0.556	-6.001	4.89	1
87-109	-0.714	-6.3	4.871	1
88-109	-1.857	-7.442	3.728	1
90-109	-0.8	-6.196	4.596	1
91-109	-1.2	-7.028	4.628	1
92-109	0	-5.688	5.688	1
94-109	-1	-6.507	4.507	1
95-109	-0.273	-5.628	5.082	1
96-109	-1.6	-7.428	4.228	1
97-109	0.083	-5.237	5.404	1
98-109	-1	-6.828	4.828	1
112-111	-1.25	-9.038	6.538	1
115-111	3	-1.926	7.926	0.897
68-111	0.25	-4.676	5.176	1
70-111	-0.917	-6.237	4.404	1
72-111	2.75	-5.038	10.538	1
73-111	0.75	-7.038	8.538	1
75-111	1.55	-3.123	6.223	1
77-111	0.75	-4.176	5.676	1
78-111	1.75	-3.57	7.07	1
79-111	-0.583	-5.904	4.737	1
80-111	-0.917	-6.237	4.404	1
81-111	-0.25	-8.038	7.538	1
82-111	2.75	-5.038	10.538	1
84-111	2.75	-3.283	8.783	0.998
85-111	1	-3.926	5.926	1
86-111	1.194	-2.992	5.381	1
87-111	1.036	-3.331	5.402	1
88-111	-0.107	-4.473	4.259	1
90-111	0.95	-3.171	5.071	1
91-111	0.55	-4.123	5.223	1
92-111	1.75	-2.747	6.247	1
94-111	0.75	-3.516	5.016	1
95-111	1.477	-2.59	5.545	1
96-111	0.15	-4.523	4.823	1
97-111	1.833	-2.189	5.855	0.998
98-111	0.75	-3.923	5.423	1
115-112	4.25	-3.538	12.038	0.971
68-112	1.5	-6.288	9.288	1
70-112	0.333	-7.71	8.377	1
72-112	4	-5.852	13.852	1
73-112	2	-7.852	11.852	1
75-112	2.8	-4.831	10.431	1
77-112	2	-5.788	9.788	1
78-112	3	-5.044	11.044	1
79-112	0.667	-7.377	8.71	1
80-112	0.333	-7.71	8.377	1
81-112	1	-8.852	10.852	1
82-112	4	-5.852	13.852	1
84-112	4	-4.532	12.532	0.997
85-112	2.25	-5.538	10.038	1
86-112	2.444	-4.899	9.787	1
87-112	2.286	-5.161	9.733	1
88-112	1.143	-6.304	8.59	1
90-112	2.2	-5.106	9.506	1
91-112	1.8	-5.831	9.431	1
92-112	3	-4.524	10.524	1
94-112	2	-5.389	9.389	1
95-112	2.727	-4.549	10.003	1
96-112	1.4	-6.231	9.031	1
97-112	3.083	-4.167	10.334	1
98-112	2	-5.631	9.631	1
68-115	-2.75	-7.676	2.176	0.961
70-115	-3.917	-9.237	1.404	0.565
72-115	-0.25	-8.038	7.538	1
73-115	-2.25	-10.038	5.538	1
75-115	-1.45	-6.123	3.223	1
77-115	-2.25	-7.176	2.676	0.998
78-115	-1.25	-6.57	4.07	1
79-115	-3.583	-8.904	1.737	0.753
80-115	-3.917	-9.237	1.404	0.565
81-115	-3.25	-11.038	4.538	1
82-115	-0.25	-8.038	7.538	1
84-115	-0.25	-6.283	5.783	1
85-115	-2	-6.926	2.926	1
86-115	-1.806	-5.992	2.381	0.999
87-115	-1.964	-6.331	2.402	0.999
88-115	-3.107	-7.473	1.259	0.641
90-115	-2.05	-6.171	2.071	0.992
91-115	-2.45	-7.123	2.223	0.983
92-115	-1.25	-5.747	3.247	1
94-115	-2.25	-6.516	2.016	0.982
95-115	-1.523	-5.59	2.545	1
96-115	-2.85	-7.523	1.823	0.896
97-115	-1.167	-5.189	2.855	1
98-115	-2.25	-6.923	2.423	0.995
70-68	-1.167	-6.487	4.154	1
72-68	2.5	-5.288	10.288	1
73-68	0.5	-7.288	8.288	1
75-68	1.3	-3.373	5.973	1
77-68	0.5	-4.426	5.426	1
78-68	1.5	-3.82	6.82	1
79-68	-0.833	-6.154	4.487	1
80-68	-1.167	-6.487	4.154	1
81-68	-0.5	-8.288	7.288	1
82-68	2.5	-5.288	10.288	1
84-68	2.5	-3.533	8.533	1
85-68	0.75	-4.176	5.676	1
86-68	0.944	-3.242	5.131	1
87-68	0.786	-3.581	5.152	1
88-68	-0.357	-4.723	4.009	1
90-68	0.7	-3.421	4.821	1
91-68	0.3	-4.373	4.973	1
92-68	1.5	-2.997	5.997	1
94-68	0.5	-3.766	4.766	1
95-68	1.227	-2.84	5.295	1
96-68	-0.1	-4.773	4.573	1
97-68	1.583	-2.439	5.605	1
98-68	0.5	-4.173	5.173	1
72-70	3.667	-4.377	11.71	0.998
73-70	1.667	-6.377	9.71	1
75-70	2.467	-2.621	7.554	0.995
77-70	1.667	-3.654	6.987	1
78-70	2.667	-3.021	8.354	0.997
79-70	0.333	-5.354	6.021	1
80-70	0	-5.688	5.688	1
81-70	0.667	-7.377	8.71	1
82-70	3.667	-4.377	11.71	0.998
84-70	3.667	-2.693	10.026	0.943
85-70	1.917	-3.404	7.237	1
86-70	2.111	-2.533	6.755	0.998
87-70	1.952	-2.855	6.759	1
88-70	0.81	-3.998	5.617	1
90-70	1.867	-2.719	6.452	1
91-70	1.467	-3.621	6.554	1
92-70	2.667	-2.259	7.592	0.974
94-70	1.667	-3.049	6.383	1
95-70	2.394	-2.143	6.931	0.982
96-70	1.067	-4.021	6.154	1
97-70	2.75	-1.747	7.247	0.893
98-70	1.667	-3.421	6.754	1
73-72	-2	-11.852	7.852	1
75-72	-1.2	-8.831	6.431	1
77-72	-2	-9.788	5.788	1
78-72	-1	-9.044	7.044	1
79-72	-3.333	-11.377	4.71	1
80-72	-3.667	-11.71	4.377	0.998
81-72	-3	-12.852	6.852	1
82-72	0	-9.852	9.852	1
84-72	0	-8.532	8.532	1
85-72	-1.75	-9.538	6.038	1
86-72	-1.556	-8.899	5.787	1
87-72	-1.714	-9.161	5.733	1
88-72	-2.857	-10.304	4.59	1
90-72	-1.8	-9.106	5.506	1
91-72	-2.2	-9.831	5.431	1
92-72	-1	-8.524	6.524	1
94-72	-2	-9.389	5.389	1
95-72	-1.273	-8.549	6.003	1
96-72	-2.6	-10.231	5.031	1
97-72	-0.917	-8.167	6.334	1
98-72	-2	-9.631	5.631	1
75-73	0.8	-6.831	8.431	1
77-73	0	-7.788	7.788	1
78-73	1	-7.044	9.044	1
79-73	-1.333	-9.377	6.71	1
80-73	-1.667	-9.71	6.377	1
81-73	-1	-10.852	8.852	1
82-73	2	-7.852	11.852	1
84-73	2	-6.532	10.532	1
85-73	0.25	-7.538	8.038	1
86-73	0.444	-6.899	7.787	1
87-73	0.286	-7.161	7.733	1
88-73	-0.857	-8.304	6.59	1
90-73	0.2	-7.106	7.506	1
91-73	-0.2	-7.831	7.431	1
92-73	1	-6.524	8.524	1
94-73	0	-7.389	7.389	1
95-73	0.727	-6.549	8.003	1
96-73	-0.6	-8.231	7.031	1
97-73	1.083	-6.167	8.334	1
98-73	0	-7.631	7.631	1
77-75	-0.8	-5.473	3.873	1
78-75	0.2	-4.887	5.287	1
79-75	-2.133	-7.221	2.954	1
80-75	-2.467	-7.554	2.621	0.995
81-75	-1.8	-9.431	5.831	1
82-75	1.2	-6.431	8.831	1
84-75	1.2	-4.628	7.028	1
85-75	-0.55	-5.223	4.123	1
86-75	-0.356	-4.241	3.53	1
87-75	-0.514	-4.593	3.565	1
88-75	-1.657	-5.736	2.422	1
90-75	-0.6	-4.416	3.216	1
91-75	-1	-5.406	3.406	1
92-75	0.2	-4.018	4.418	1
94-75	-0.8	-4.771	3.171	1
95-75	-0.073	-3.83	3.685	1
96-75	-1.4	-5.806	3.006	1
97-75	0.283	-3.425	3.991	1
98-75	-0.8	-5.206	3.606	1
78-77	1	-4.32	6.32	1
79-77	-1.333	-6.654	3.987	1
80-77	-1.667	-6.987	3.654	1
81-77	-1	-8.788	6.788	1
82-77	2	-5.788	9.788	1
84-77	2	-4.033	8.033	1
85-77	0.25	-4.676	5.176	1
86-77	0.444	-3.742	4.631	1
87-77	0.286	-4.081	4.652	1
88-77	-0.857	-5.223	3.509	1
90-77	0.2	-3.921	4.321	1
91-77	-0.2	-4.873	4.473	1
92-77	1	-3.497	5.497	1
94-77	0	-4.266	4.266	1
95-77	0.727	-3.34	4.795	1
96-77	-0.6	-5.273	4.073	1
97-77	1.083	-2.939	5.105	1
98-77	0	-4.673	4.673	1
79-78	-2.333	-8.021	3.354	1
80-78	-2.667	-8.354	3.021	0.997
81-78	-2	-10.044	6.044	1
82-78	1	-7.044	9.044	1
84-78	1	-5.359	7.359	1
85-78	-0.75	-6.07	4.57	1
86-78	-0.556	-5.2	4.089	1
87-78	-0.714	-5.521	4.093	1
88-78	-1.857	-6.664	2.95	1
90-78	-0.8	-5.386	3.786	1
91-78	-1.2	-6.287	3.887	1
92-78	0	-4.926	4.926	1
94-78	-1	-5.716	3.716	1
95-78	-0.273	-4.81	4.265	1
96-78	-1.6	-6.687	3.487	1
97-78	0.083	-4.413	4.58	1
98-78	-1	-6.087	4.087	1
80-79	-0.333	-6.021	5.354	1
81-79	0.333	-7.71	8.377	1
82-79	3.333	-4.71	11.377	1
84-79	3.333	-3.026	9.693	0.983
85-79	1.583	-3.737	6.904	1
86-79	1.778	-2.866	6.422	1
87-79	1.619	-3.188	6.426	1
88-79	0.476	-4.331	5.283	1
90-79	1.533	-3.052	6.119	1
91-79	1.133	-3.954	6.221	1
92-79	2.333	-2.592	7.259	0.996
94-79	1.333	-3.383	6.049	1
95-79	2.061	-2.477	6.598	0.998
96-79	0.733	-4.354	5.821	1
97-79	2.417	-2.08	6.913	0.976
98-79	1.333	-3.754	6.421	1
81-80	0.667	-7.377	8.71	1
82-80	3.667	-4.377	11.71	0.998
84-80	3.667	-2.693	10.026	0.943
85-80	1.917	-3.404	7.237	1
86-80	2.111	-2.533	6.755	0.998
87-80	1.952	-2.855	6.759	1
88-80	0.81	-3.998	5.617	1
90-80	1.867	-2.719	6.452	1
91-80	1.467	-3.621	6.554	1
92-80	2.667	-2.259	7.592	0.974
94-80	1.667	-3.049	6.383	1
95-80	2.394	-2.143	6.931	0.982
96-80	1.067	-4.021	6.154	1
97-80	2.75	-1.747	7.247	0.893
98-80	1.667	-3.421	6.754	1
82-81	3	-6.852	12.852	1
84-81	3	-5.532	11.532	1
85-81	1.25	-6.538	9.038	1
86-81	1.444	-5.899	8.787	1
87-81	1.286	-6.161	8.733	1
88-81	0.143	-7.304	7.59	1
90-81	1.2	-6.106	8.506	1
91-81	0.8	-6.831	8.431	1
92-81	2	-5.524	9.524	1
94-81	1	-6.389	8.389	1
95-81	1.727	-5.549	9.003	1
96-81	0.4	-7.231	8.031	1
97-81	2.083	-5.167	9.334	1
98-81	1	-6.631	8.631	1
84-82	0	-8.532	8.532	1
85-82	-1.75	-9.538	6.038	1
86-82	-1.556	-8.899	5.787	1
87-82	-1.714	-9.161	5.733	1
88-82	-2.857	-10.304	4.59	1
90-82	-1.8	-9.106	5.506	1
91-82	-2.2	-9.831	5.431	1
92-82	-1	-8.524	6.524	1
94-82	-2	-9.389	5.389	1
95-82	-1.273	-8.549	6.003	1
96-82	-2.6	-10.231	5.031	1
97-82	-0.917	-8.167	6.334	1
98-82	-2	-9.631	5.631	1
85-84	-1.75	-7.783	4.283	1
86-84	-1.556	-7.001	3.89	1
87-84	-1.714	-7.3	3.871	1
88-84	-2.857	-8.442	2.728	0.988
90-84	-1.8	-7.196	3.596	1
91-84	-2.2	-8.028	3.628	1
92-84	-1	-6.688	4.688	1
94-84	-2	-7.507	3.507	1
95-84	-1.273	-6.628	4.082	1
96-84	-2.6	-8.428	3.228	0.999
97-84	-0.917	-6.237	4.404	1
98-84	-2	-7.828	3.828	1
86-85	0.194	-3.992	4.381	1
87-85	0.036	-4.331	4.402	1
88-85	-1.107	-5.473	3.259	1
90-85	-0.05	-4.171	4.071	1
91-85	-0.45	-5.123	4.223	1
92-85	0.75	-3.747	5.247	1
94-85	-0.25	-4.516	4.016	1
95-85	0.477	-3.59	4.545	1
96-85	-0.85	-5.523	3.823	1
97-85	0.833	-3.189	4.855	1
98-85	-0.25	-4.923	4.423	1
87-86	-0.159	-3.669	3.352	1
88-86	-1.302	-4.812	2.209	1
90-86	-0.244	-3.445	2.956	1
91-86	-0.644	-4.53	3.241	1
92-86	0.556	-3.116	4.227	1
94-86	-0.444	-3.829	2.94	1
95-86	0.283	-2.848	3.414	1
96-86	-1.044	-4.93	2.841	1
97-86	0.639	-2.433	3.711	1
98-86	-0.444	-4.33	3.441	1
88-87	-1.143	-4.866	2.581	1
90-87	-0.086	-3.519	3.347	1
91-87	-0.486	-4.565	3.593	1
92-87	0.714	-3.161	4.59	1
94-87	-0.286	-3.891	3.32	1
95-87	0.442	-2.927	3.81	1
96-87	-0.886	-4.965	3.193	1
97-87	0.798	-2.515	4.111	1
98-87	-0.286	-4.365	3.793	1
90-88	1.057	-2.376	4.49	1
91-88	0.657	-3.422	4.736	1
92-88	1.857	-2.018	5.733	0.996
94-88	0.857	-2.748	4.462	1
95-88	1.584	-1.784	4.953	0.997
96-88	0.257	-3.822	4.336	1
97-88	1.94	-1.373	5.254	0.932
98-88	0.857	-3.222	4.936	1
91-90	-0.4	-4.216	3.416	1
92-90	0.8	-2.797	4.397	1
94-90	-0.2	-3.504	3.104	1
95-90	0.527	-2.516	3.571	1
96-90	-0.8	-4.616	3.016	1
97-90	0.883	-2.099	3.866	1
98-90	-0.2	-4.016	3.616	1
92-91	1.2	-3.018	5.418	1
94-91	0.2	-3.771	4.171	1
95-91	0.927	-2.83	4.685	1
96-91	-0.4	-4.806	4.006	1
97-91	1.283	-2.425	4.991	1
98-91	0.2	-4.206	4.606	1
94-92	-1	-4.762	2.762	1
95-92	-0.273	-3.808	3.263	1
96-92	-1.6	-5.818	2.618	1
97-92	0.083	-3.4	3.566	1
98-92	-1	-5.218	3.218	1
95-94	0.727	-2.51	3.964	1
96-94	-0.6	-4.571	3.371	1
97-94	1.083	-2.096	4.263	1
98-94	0	-3.971	3.971	1
96-95	-1.327	-5.085	2.43	1
97-95	0.356	-2.552	3.264	1
98-95	-0.727	-4.485	3.03	1
97-96	1.683	-2.025	5.391	0.998
98-96	0.6	-3.806	5.006	1
98-97	-1.083	-4.791	2.625	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	36	0.802	0.774
	123

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608345341gyor0ksczdfft9/3k5561260834343.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608345341gyor0ksczdfft9/3k5561260834343.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608345341gyor0ksczdfft9/4gp5d1260834343.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608345341gyor0ksczdfft9/4gp5d1260834343.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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