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verbal iq and child year 7

*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 16:10:18 -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/t12608323809poyrxidlp5ul4o.htm/, Retrieved Tue, 15 Dec 2009 00:13:03 +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/t12608323809poyrxidlp5ul4o.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 «

67 0 86 88 86 94 103 90 74 73 63 68 82 80 93 86 77 86 111 91 71 79 103 96 89 92 75 72 88 96 84 70 85 86 70 87 104 88 88 79 77 90 77 95 72 85 70 0 83 90 110 115 91 84 80 79 91 94 86 97 85 86 107 111 93 87 87 98 84 87 73 68 84 88 86 82 99 111 75 75 87 94 79 95 82 80 95 95 84 68 85 94 95 88 63 84 78 0 85 101 86 98 75 78 98 109 71 102 63 81 71 97 84 75 81 97 93 0 79 101 63 101 93 95 92 95 93 0 83 95 80 90 111 107 92 92 79 86 69 70 83 95 80 96 91 91 97 87 85 92 85 97 99 102 67 91 87 68 68 88 81 97 80 90 93 101 93 94 102 101 104 109 90 100 85 103 92 94 82 97 85 85 89 75 77 77 79 87 76 78 101 108 81 97 92 105 89 106 81 107 77 95 95 107 85 115 81 101 76 85 93 90 104 115 89 95 76 97 77 112 71 97 79 77 89 90 81 94 99 103 81 77 84 98 85 90 111 111 78 77 111 88 78 75 87 92 92 78 93 106 70 80 84 87 75 92 105 0 96 111 85 86 87 85 75 90 103 101 86 94 77 86 74 86 74 90 76 75 83 86 101 91 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	9 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
mviq ~ wiscvriq7
means	84.143	1.19	2.429	-3.476	7.857	7.857	6.857	11.524	16.857	16.857	19.107	-7.143	17.857	-7.393	-8.476	-9.143	-10.143	-3.743	-5.393	-3.143	-4.476	-6.143	-21.143	1.857	-7.143	-4.143	-2.143	0.429	8.143	-0.243	8.257	3.19	3.482	0.13	-0.743	-3.56	1.857

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
wiscvriq7	36	7052.139	195.893	2.157	0.001
Residuals	123	11172.104	90.83

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
100-0	1.19	-24.777	27.157	1
101-0	2.429	-17.685	22.543	1
102-0	-3.476	-29.443	22.491	1
103-0	7.857	-22.314	38.028	1
105-0	7.857	-32.371	48.085	1
106-0	6.857	-23.314	37.028	1
107-0	11.524	-14.443	37.491	0.999
108-0	16.857	-23.371	57.085	1
109-0	16.857	-13.314	47.028	0.961
111-0	19.107	-4.479	42.693	0.345
112-0	-7.143	-47.371	33.085	1
115-0	17.857	-5.729	41.443	0.499
68-0	-7.393	-30.979	16.193	1
70-0	-8.476	-34.443	17.491	1
72-0	-9.143	-49.371	31.085	1
73-0	-10.143	-50.371	30.085	1
75-0	-3.743	-25.777	18.291	1
77-0	-5.393	-28.979	18.193	1
78-0	-3.143	-29.11	22.824	1
79-0	-4.476	-30.443	21.491	1
80-0	-6.143	-32.11	19.824	1
81-0	-21.143	-61.371	19.085	0.983
82-0	1.857	-38.371	42.085	1
84-0	-7.143	-37.314	23.028	1
85-0	-4.143	-27.729	19.443	1
86-0	-2.143	-21.106	16.821	1
87-0	0.429	-19.685	20.543	1
88-0	8.143	-11.971	28.257	1
90-0	-0.243	-18.787	18.301	1
91-0	8.257	-13.777	30.291	1
92-0	3.19	-17.745	24.126	1
94-0	3.482	-15.993	22.957	1
95-0	0.13	-18.064	18.324	1
96-0	-0.743	-22.777	21.291	1
97-0	-3.56	-21.456	14.337	1
98-0	1.857	-20.177	23.891	1
101-100	1.238	-24.729	27.205	1
102-100	-4.667	-35.391	26.058	1
103-100	6.667	-27.684	41.018	1
105-100	6.667	-36.784	50.118	1
106-100	5.667	-28.684	40.018	1
107-100	10.333	-20.391	41.058	1
108-100	15.667	-27.784	59.118	1
109-100	15.667	-18.684	50.018	0.998
111-100	17.917	-10.824	46.657	0.871
112-100	-8.333	-51.784	35.118	1
115-100	16.667	-12.074	45.407	0.939
68-100	-8.583	-37.324	20.157	1
70-100	-9.667	-40.391	21.058	1
72-100	-10.333	-53.784	33.118	1
73-100	-11.333	-54.784	32.118	1
75-100	-4.933	-32.414	22.548	1
77-100	-6.583	-35.324	22.157	1
78-100	-4.333	-35.058	26.391	1
79-100	-5.667	-36.391	25.058	1
80-100	-7.333	-38.058	23.391	1
81-100	-22.333	-65.784	21.118	0.987
82-100	0.667	-42.784	44.118	1
84-100	-8.333	-42.684	26.018	1
85-100	-5.333	-34.074	23.407	1
86-100	-3.333	-28.42	21.753	1
87-100	-0.762	-26.729	25.205	1
88-100	6.952	-19.015	32.919	1
90-100	-1.433	-26.204	23.338	1
91-100	7.067	-20.414	34.548	1
92-100	2	-24.608	28.608	1
94-100	2.292	-23.184	27.767	1
95-100	-1.061	-25.57	23.449	1
96-100	-1.933	-29.414	25.548	1
97-100	-4.75	-29.04	19.54	1
98-100	0.667	-26.814	28.148	1
102-101	-5.905	-31.872	20.062	1
103-101	5.429	-24.742	35.599	1
105-101	5.429	-34.799	45.656	1
106-101	4.429	-25.742	34.599	1
107-101	9.095	-16.872	35.062	1
108-101	14.429	-25.799	54.656	1
109-101	14.429	-15.742	44.599	0.996
111-101	16.679	-6.907	40.264	0.655
112-101	-9.571	-49.799	30.656	1
115-101	15.429	-8.157	39.014	0.803
68-101	-9.821	-33.407	13.764	1
70-101	-10.905	-36.872	15.062	1
72-101	-11.571	-51.799	28.656	1
73-101	-12.571	-52.799	27.656	1
75-101	-6.171	-28.205	15.862	1
77-101	-7.821	-31.407	15.764	1
78-101	-5.571	-31.538	20.396	1
79-101	-6.905	-32.872	19.062	1
80-101	-8.571	-34.538	17.396	1
81-101	-23.571	-63.799	16.656	0.932
82-101	-0.571	-40.799	39.656	1
84-101	-9.571	-39.742	20.599	1
85-101	-6.571	-30.157	17.014	1
86-101	-4.571	-23.535	14.392	1
87-101	-2	-22.114	18.114	1
88-101	5.714	-14.4	25.828	1
90-101	-2.671	-21.216	15.873	1
91-101	5.829	-16.205	27.862	1
92-101	0.762	-20.173	21.697	1
94-101	1.054	-18.422	20.529	1
95-101	-2.299	-20.492	15.895	1
96-101	-3.171	-25.205	18.862	1
97-101	-5.988	-23.885	11.908	1
98-101	-0.571	-22.605	21.462	1
103-102	11.333	-23.018	45.684	1
105-102	11.333	-32.118	54.784	1
106-102	10.333	-24.018	44.684	1
107-102	15	-15.725	45.725	0.994
108-102	20.333	-23.118	63.784	0.997
109-102	20.333	-14.018	54.684	0.924
111-102	22.583	-6.157	51.324	0.413
112-102	-3.667	-47.118	39.784	1
115-102	21.333	-7.407	50.074	0.546
68-102	-3.917	-32.657	24.824	1
70-102	-5	-35.725	25.725	1
72-102	-5.667	-49.118	37.784	1
73-102	-6.667	-50.118	36.784	1
75-102	-0.267	-27.748	27.214	1
77-102	-1.917	-30.657	26.824	1
78-102	0.333	-30.391	31.058	1
79-102	-1	-31.725	29.725	1
80-102	-2.667	-33.391	28.058	1
81-102	-17.667	-61.118	25.784	1
82-102	5.333	-38.118	48.784	1
84-102	-3.667	-38.018	30.684	1
85-102	-0.667	-29.407	28.074	1
86-102	1.333	-23.753	26.42	1
87-102	3.905	-22.062	29.872	1
88-102	11.619	-14.348	37.586	0.999
90-102	3.233	-21.538	28.004	1
91-102	11.733	-15.748	39.214	0.999
92-102	6.667	-19.942	33.275	1
94-102	6.958	-18.517	32.434	1
95-102	3.606	-20.904	28.116	1
96-102	2.733	-24.748	30.214	1
97-102	-0.083	-24.373	24.207	1
98-102	5.333	-22.148	32.814	1
105-103	0	-46.087	46.087	1
106-103	-1	-38.63	36.63	1
107-103	3.667	-30.684	38.018	1
108-103	9	-37.087	55.087	1
109-103	9	-28.63	46.63	1
111-103	11.25	-21.338	43.838	1
112-103	-15	-61.087	31.087	1
115-103	10	-22.588	42.588	1
68-103	-15.25	-47.838	17.338	0.997
70-103	-16.333	-50.684	18.018	0.996
72-103	-17	-63.087	29.087	1
73-103	-18	-64.087	28.087	1
75-103	-11.6	-43.083	19.883	1
77-103	-13.25	-45.838	19.338	1
78-103	-11	-45.351	23.351	1
79-103	-12.333	-46.684	22.018	1
80-103	-14	-48.351	20.351	1
81-103	-29	-75.087	17.087	0.859
82-103	-6	-52.087	40.087	1
84-103	-15	-52.63	22.63	1
85-103	-12	-44.588	20.588	1
86-103	-10	-39.417	19.417	1
87-103	-7.429	-37.599	22.742	1
88-103	0.286	-29.885	30.457	1
90-103	-8.1	-37.248	21.048	1
91-103	0.4	-31.083	31.883	1
92-103	-4.667	-35.391	26.058	1
94-103	-4.375	-34.124	25.374	1
95-103	-7.727	-36.653	21.199	1
96-103	-8.6	-40.083	22.883	1
97-103	-11.417	-40.157	17.324	1
98-103	-6	-37.483	25.483	1
106-105	-1	-47.087	45.087	1
107-105	3.667	-39.784	47.118	1
108-105	9	-44.216	62.216	1
109-105	9	-37.087	55.087	1
111-105	11.25	-30.821	53.321	1
112-105	-15	-68.216	38.216	1
115-105	10	-32.071	52.071	1
68-105	-15.25	-57.321	26.821	1
70-105	-16.333	-59.784	27.118	1
72-105	-17	-70.216	36.216	1
73-105	-18	-71.216	35.216	1
75-105	-11.6	-52.821	29.621	1
77-105	-13.25	-55.321	28.821	1
78-105	-11	-54.451	32.451	1
79-105	-12.333	-55.784	31.118	1
80-105	-14	-57.451	29.451	1
81-105	-29	-82.216	24.216	0.972
82-105	-6	-59.216	47.216	1
84-105	-15	-61.087	31.087	1
85-105	-12	-54.071	30.071	1
86-105	-10	-49.665	29.665	1
87-105	-7.429	-47.656	32.799	1
88-105	0.286	-39.942	40.514	1
90-105	-8.1	-47.566	31.366	1
91-105	0.4	-40.821	41.621	1
92-105	-4.667	-45.311	35.978	1
94-105	-4.375	-44.287	35.537	1
95-105	-7.727	-47.03	31.576	1
96-105	-8.6	-49.821	32.621	1
97-105	-11.417	-50.583	27.75	1
98-105	-6	-47.221	35.221	1
107-106	4.667	-29.684	39.018	1
108-106	10	-36.087	56.087	1
109-106	10	-27.63	47.63	1
111-106	12.25	-20.338	44.838	1
112-106	-14	-60.087	32.087	1
115-106	11	-21.588	43.588	1
68-106	-14.25	-46.838	18.338	0.999
70-106	-15.333	-49.684	19.018	0.999
72-106	-16	-62.087	30.087	1
73-106	-17	-63.087	29.087	1
75-106	-10.6	-42.083	20.883	1
77-106	-12.25	-44.838	20.338	1
78-106	-10	-44.351	24.351	1
79-106	-11.333	-45.684	23.018	1
80-106	-13	-47.351	21.351	1
81-106	-28	-74.087	18.087	0.9
82-106	-5	-51.087	41.087	1
84-106	-14	-51.63	23.63	1
85-106	-11	-43.588	21.588	1
86-106	-9	-38.417	20.417	1
87-106	-6.429	-36.599	23.742	1
88-106	1.286	-28.885	31.457	1
90-106	-7.1	-36.248	22.048	1
91-106	1.4	-30.083	32.883	1
92-106	-3.667	-34.391	27.058	1
94-106	-3.375	-33.124	26.374	1
95-106	-6.727	-35.653	22.199	1
96-106	-7.6	-39.083	23.883	1
97-106	-10.417	-39.157	18.324	1
98-106	-5	-36.483	26.483	1
108-107	5.333	-38.118	48.784	1
109-107	5.333	-29.018	39.684	1
111-107	7.583	-21.157	36.324	1
112-107	-18.667	-62.118	24.784	0.999
115-107	6.333	-22.407	35.074	1
68-107	-18.917	-47.657	9.824	0.793
70-107	-20	-50.725	10.725	0.811
72-107	-20.667	-64.118	22.784	0.996
73-107	-21.667	-65.118	21.784	0.992
75-107	-15.267	-42.748	12.214	0.964
77-107	-16.917	-45.657	11.824	0.928
78-107	-14.667	-45.391	16.058	0.996
79-107	-16	-46.725	14.725	0.985
80-107	-17.667	-48.391	13.058	0.945
81-107	-32.667	-76.118	10.784	0.516
82-107	-9.667	-53.118	33.784	1
84-107	-18.667	-53.018	15.684	0.973
85-107	-15.667	-44.407	13.074	0.972
86-107	-13.667	-38.753	11.42	0.972
87-107	-11.095	-37.062	14.872	0.999
88-107	-3.381	-29.348	22.586	1
90-107	-11.767	-36.538	13.004	0.996
91-107	-3.267	-30.748	24.214	1
92-107	-8.333	-34.942	18.275	1
94-107	-8.042	-33.517	17.434	1
95-107	-11.394	-35.904	13.116	0.997
96-107	-12.267	-39.748	15.214	0.999
97-107	-15.083	-39.373	9.207	0.876
98-107	-9.667	-37.148	17.814	1
109-108	0	-46.087	46.087	1
111-108	2.25	-39.821	44.321	1
112-108	-24	-77.216	29.216	0.999
115-108	1	-41.071	43.071	1
68-108	-24.25	-66.321	17.821	0.943
70-108	-25.333	-68.784	18.118	0.936
72-108	-26	-79.216	27.216	0.994
73-108	-27	-80.216	26.216	0.99
75-108	-20.6	-61.821	20.621	0.992
77-108	-22.25	-64.321	19.821	0.981
78-108	-20	-63.451	23.451	0.998
79-108	-21.333	-64.784	22.118	0.994
80-108	-23	-66.451	20.451	0.981
81-108	-38	-91.216	15.216	0.634
82-108	-15	-68.216	38.216	1
84-108	-24	-70.087	22.087	0.985
85-108	-21	-63.071	21.071	0.992
86-108	-19	-58.665	20.665	0.996
87-108	-16.429	-56.656	23.799	1
88-108	-8.714	-48.942	31.514	1
90-108	-17.1	-56.566	22.366	0.999
91-108	-8.6	-49.821	32.621	1
92-108	-13.667	-54.311	26.978	1
94-108	-13.375	-53.287	26.537	1
95-108	-16.727	-56.03	22.576	0.999
96-108	-17.6	-58.821	23.621	0.999
97-108	-20.417	-59.583	18.75	0.985
98-108	-15	-56.221	26.221	1
111-109	2.25	-30.338	34.838	1
112-109	-24	-70.087	22.087	0.985
115-109	1	-31.588	33.588	1
68-109	-24.25	-56.838	8.338	0.54
70-109	-25.333	-59.684	9.018	0.561
72-109	-26	-72.087	20.087	0.956
73-109	-27	-73.087	19.087	0.932
75-109	-20.6	-52.083	10.883	0.803
77-109	-22.25	-54.838	10.338	0.727
78-109	-20	-54.351	14.351	0.937
79-109	-21.333	-55.684	13.018	0.876
80-109	-23	-57.351	11.351	0.763
81-109	-38	-84.087	8.087	0.307
82-109	-15	-61.087	31.087	1
84-109	-24	-61.63	13.63	0.841
85-109	-21	-53.588	11.588	0.826
86-109	-19	-48.417	10.417	0.823
87-109	-16.429	-46.599	13.742	0.972
88-109	-8.714	-38.885	21.457	1
90-109	-17.1	-46.248	12.048	0.931
91-109	-8.6	-40.083	22.883	1
92-109	-13.667	-44.391	17.058	0.999
94-109	-13.375	-43.124	16.374	0.999
95-109	-16.727	-45.653	12.199	0.941
96-109	-17.6	-49.083	13.883	0.961
97-109	-20.417	-49.157	8.324	0.645
98-109	-15	-46.483	16.483	0.996
112-111	-26.25	-68.321	15.821	0.87
115-111	-1.25	-27.858	25.358	1
68-111	-26.5	-53.108	0.108	0.053
70-111	-27.583	-56.324	1.157	0.081
72-111	-28.25	-70.321	13.821	0.758
73-111	-29.25	-71.321	12.821	0.691
75-111	-22.85	-48.093	2.393	0.146
77-111	-24.5	-51.108	2.108	0.124
78-111	-22.25	-50.99	6.49	0.447
79-111	-23.583	-52.324	5.157	0.318
80-111	-25.25	-53.99	3.49	0.19
81-111	-40.25	-82.321	1.821	0.084
82-111	-17.25	-59.321	24.821	1
84-111	-26.25	-58.838	6.338	0.357
85-111	-23.25	-49.858	3.358	0.199
86-111	-21.25	-43.863	1.363	0.101
87-111	-18.679	-42.264	4.907	0.395
88-111	-10.964	-34.55	12.621	0.997
90-111	-19.35	-41.612	2.912	0.208
91-111	-10.85	-36.093	14.393	0.999
92-111	-15.917	-40.207	8.373	0.8
94-111	-15.625	-38.668	7.418	0.74
95-111	-18.977	-40.948	2.994	0.219
96-111	-19.85	-45.093	5.393	0.411
97-111	-22.667	-44.392	-0.941	0.029
98-111	-17.25	-42.493	7.993	0.725
115-112	25	-17.071	67.071	0.921
68-112	-0.25	-42.321	41.821	1
70-112	-1.333	-44.784	42.118	1
72-112	-2	-55.216	51.216	1
73-112	-3	-56.216	50.216	1
75-112	3.4	-37.821	44.621	1
77-112	1.75	-40.321	43.821	1
78-112	4	-39.451	47.451	1
79-112	2.667	-40.784	46.118	1
80-112	1	-42.451	44.451	1
81-112	-14	-67.216	39.216	1
82-112	9	-44.216	62.216	1
84-112	0	-46.087	46.087	1
85-112	3	-39.071	45.071	1
86-112	5	-34.665	44.665	1
87-112	7.571	-32.656	47.799	1
88-112	15.286	-24.942	55.514	1
90-112	6.9	-32.566	46.366	1
91-112	15.4	-25.821	56.621	1
92-112	10.333	-30.311	50.978	1
94-112	10.625	-29.287	50.537	1
95-112	7.273	-32.03	46.576	1
96-112	6.4	-34.821	47.621	1
97-112	3.583	-35.583	42.75	1
98-112	9	-32.221	50.221	1
68-115	-25.25	-51.858	1.358	0.091
70-115	-26.333	-55.074	2.407	0.13
72-115	-27	-69.071	15.071	0.832
73-115	-28	-70.071	14.071	0.774
75-115	-21.6	-46.843	3.643	0.235
77-115	-23.25	-49.858	3.358	0.199
78-115	-21	-49.74	7.74	0.582
79-115	-22.333	-51.074	6.407	0.439
80-115	-24	-52.74	4.74	0.282
81-115	-39	-81.071	3.071	0.116
82-115	-16	-58.071	26.071	1
84-115	-25	-57.588	7.588	0.469
85-115	-22	-48.608	4.608	0.302
86-115	-20	-42.613	2.613	0.18
87-115	-17.429	-41.014	6.157	0.556
88-115	-9.714	-33.3	13.871	1
90-115	-18.1	-40.362	4.162	0.337
91-115	-9.6	-34.843	15.643	1
92-115	-14.667	-38.957	9.623	0.906
94-115	-14.375	-37.418	8.668	0.87
95-115	-17.727	-39.698	4.244	0.354
96-115	-18.6	-43.843	6.643	0.563
97-115	-21.417	-43.142	0.309	0.059
98-115	-16	-41.243	9.243	0.85
70-68	-1.083	-29.824	27.657	1
72-68	-1.75	-43.821	40.321	1
73-68	-2.75	-44.821	39.321	1
75-68	3.65	-21.593	28.893	1
77-68	2	-24.608	28.608	1
78-68	4.25	-24.49	32.99	1
79-68	2.917	-25.824	31.657	1
80-68	1.25	-27.49	29.99	1
81-68	-13.75	-55.821	28.321	1
82-68	9.25	-32.821	51.321	1
84-68	0.25	-32.338	32.838	1
85-68	3.25	-23.358	29.858	1
86-68	5.25	-17.363	27.863	1
87-68	7.821	-15.764	31.407	1
88-68	15.536	-8.05	39.121	0.792
90-68	7.15	-15.112	29.412	1
91-68	15.65	-9.593	40.893	0.878
92-68	10.583	-13.707	34.873	0.999
94-68	10.875	-12.168	33.918	0.997
95-68	7.523	-14.448	29.494	1
96-68	6.65	-18.593	31.893	1
97-68	3.833	-17.892	25.559	1
98-68	9.25	-15.993	34.493	1
72-70	-0.667	-44.118	42.784	1
73-70	-1.667	-45.118	41.784	1
75-70	4.733	-22.748	32.214	1
77-70	3.083	-25.657	31.824	1
78-70	5.333	-25.391	36.058	1
79-70	4	-26.725	34.725	1
80-70	2.333	-28.391	33.058	1
81-70	-12.667	-56.118	30.784	1
82-70	10.333	-33.118	53.784	1
84-70	1.333	-33.018	35.684	1
85-70	4.333	-24.407	33.074	1
86-70	6.333	-18.753	31.42	1
87-70	8.905	-17.062	34.872	1
88-70	16.619	-9.348	42.586	0.836
90-70	8.233	-16.538	33.004	1
91-70	16.733	-10.748	44.214	0.898
92-70	11.667	-14.942	38.275	0.999
94-70	11.958	-13.517	37.434	0.997
95-70	8.606	-15.904	33.116	1
96-70	7.733	-19.748	35.214	1
97-70	4.917	-19.373	29.207	1
98-70	10.333	-17.148	37.814	1
73-72	-1	-54.216	52.216	1
75-72	5.4	-35.821	46.621	1
77-72	3.75	-38.321	45.821	1
78-72	6	-37.451	49.451	1
79-72	4.667	-38.784	48.118	1
80-72	3	-40.451	46.451	1
81-72	-12	-65.216	41.216	1
82-72	11	-42.216	64.216	1
84-72	2	-44.087	48.087	1
85-72	5	-37.071	47.071	1
86-72	7	-32.665	46.665	1
87-72	9.571	-30.656	49.799	1
88-72	17.286	-22.942	57.514	0.999
90-72	8.9	-30.566	48.366	1
91-72	17.4	-23.821	58.621	1
92-72	12.333	-28.311	52.978	1
94-72	12.625	-27.287	52.537	1
95-72	9.273	-30.03	48.576	1
96-72	8.4	-32.821	49.621	1
97-72	5.583	-33.583	44.75	1
98-72	11	-30.221	52.221	1
75-73	6.4	-34.821	47.621	1
77-73	4.75	-37.321	46.821	1
78-73	7	-36.451	50.451	1
79-73	5.667	-37.784	49.118	1
80-73	4	-39.451	47.451	1
81-73	-11	-64.216	42.216	1
82-73	12	-41.216	65.216	1
84-73	3	-43.087	49.087	1
85-73	6	-36.071	48.071	1
86-73	8	-31.665	47.665	1
87-73	10.571	-29.656	50.799	1
88-73	18.286	-21.942	58.514	0.998
90-73	9.9	-29.566	49.366	1
91-73	18.4	-22.821	59.621	0.999
92-73	13.333	-27.311	53.978	1
94-73	13.625	-26.287	53.537	1
95-73	10.273	-29.03	49.576	1
96-73	9.4	-31.821	50.621	1
97-73	6.583	-32.583	45.75	1
98-73	12	-29.221	53.221	1
77-75	-1.65	-26.893	23.593	1
78-75	0.6	-26.881	28.081	1
79-75	-0.733	-28.214	26.748	1
80-75	-2.4	-29.881	25.081	1
81-75	-17.4	-58.621	23.821	1
82-75	5.6	-35.621	46.821	1
84-75	-3.4	-34.883	28.083	1
85-75	-0.4	-25.643	24.843	1
86-75	1.6	-19.389	22.589	1
87-75	4.171	-17.862	26.205	1
88-75	11.886	-10.148	33.919	0.975
90-75	3.5	-17.111	24.111	1
91-75	12	-11.799	35.799	0.991
92-75	6.933	-15.853	29.719	1
94-75	7.225	-14.227	28.677	1
95-75	3.873	-16.423	24.169	1
96-75	3	-20.799	26.799	1
97-75	0.183	-19.847	20.213	1
98-75	5.6	-18.199	29.399	1
78-77	2.25	-26.49	30.99	1
79-77	0.917	-27.824	29.657	1
80-77	-0.75	-29.49	27.99	1
81-77	-15.75	-57.821	26.321	1
82-77	7.25	-34.821	49.321	1
84-77	-1.75	-34.338	30.838	1
85-77	1.25	-25.358	27.858	1
86-77	3.25	-19.363	25.863	1
87-77	5.821	-17.764	29.407	1
88-77	13.536	-10.05	37.121	0.946
90-77	5.15	-17.112	27.412	1
91-77	13.65	-11.593	38.893	0.974
92-77	8.583	-15.707	32.873	1
94-77	8.875	-14.168	31.918	1
95-77	5.523	-16.448	27.494	1
96-77	4.65	-20.593	29.893	1
97-77	1.833	-19.892	23.559	1
98-77	7.25	-17.993	32.493	1
79-78	-1.333	-32.058	29.391	1
80-78	-3	-33.725	27.725	1
81-78	-18	-61.451	25.451	1
82-78	5	-38.451	48.451	1
84-78	-4	-38.351	30.351	1
85-78	-1	-29.74	27.74	1
86-78	1	-24.086	26.086	1
87-78	3.571	-22.396	29.538	1
88-78	11.286	-14.681	37.253	0.999
90-78	2.9	-21.871	27.671	1
91-78	11.4	-16.081	38.881	1
92-78	6.333	-20.275	32.942	1
94-78	6.625	-18.85	32.1	1
95-78	3.273	-21.237	27.782	1
96-78	2.4	-25.081	29.881	1
97-78	-0.417	-24.707	23.873	1
98-78	5	-22.481	32.481	1
80-79	-1.667	-32.391	29.058	1
81-79	-16.667	-60.118	26.784	1
82-79	6.333	-37.118	49.784	1
84-79	-2.667	-37.018	31.684	1
85-79	0.333	-28.407	29.074	1
86-79	2.333	-22.753	27.42	1
87-79	4.905	-21.062	30.872	1
88-79	12.619	-13.348	38.586	0.995
90-79	4.233	-20.538	29.004	1
91-79	12.733	-14.748	40.214	0.998
92-79	7.667	-18.942	34.275	1
94-79	7.958	-17.517	33.434	1
95-79	4.606	-19.904	29.116	1
96-79	3.733	-23.748	31.214	1
97-79	0.917	-23.373	25.207	1
98-79	6.333	-21.148	33.814	1
81-80	-15	-58.451	28.451	1
82-80	8	-35.451	51.451	1
84-80	-1	-35.351	33.351	1
85-80	2	-26.74	30.74	1
86-80	4	-21.086	29.086	1
87-80	6.571	-19.396	32.538	1
88-80	14.286	-11.681	40.253	0.968
90-80	5.9	-18.871	30.671	1
91-80	14.4	-13.081	41.881	0.983
92-80	9.333	-17.275	35.942	1
94-80	9.625	-15.85	35.1	1
95-80	6.273	-18.237	30.782	1
96-80	5.4	-22.081	32.881	1
97-80	2.583	-21.707	26.873	1
98-80	8	-19.481	35.481	1
82-81	23	-30.216	76.216	0.999
84-81	14	-32.087	60.087	1
85-81	17	-25.071	59.071	1
86-81	19	-20.665	58.665	0.996
87-81	21.571	-18.656	61.799	0.977
88-81	29.286	-10.942	69.514	0.59
90-81	20.9	-18.566	60.366	0.981
91-81	29.4	-11.821	70.621	0.636
92-81	24.333	-16.311	64.978	0.914
94-81	24.625	-15.287	64.537	0.883
95-81	21.273	-18.03	60.576	0.974
96-81	20.4	-20.821	61.621	0.993
97-81	17.583	-21.583	56.75	0.999
98-81	23	-18.221	64.221	0.962
84-82	-9	-55.087	37.087	1
85-82	-6	-48.071	36.071	1
86-82	-4	-43.665	35.665	1
87-82	-1.429	-41.656	38.799	1
88-82	6.286	-33.942	46.514	1
90-82	-2.1	-41.566	37.366	1
91-82	6.4	-34.821	47.621	1
92-82	1.333	-39.311	41.978	1
94-82	1.625	-38.287	41.537	1
95-82	-1.727	-41.03	37.576	1
96-82	-2.6	-43.821	38.621	1
97-82	-5.417	-44.583	33.75	1
98-82	0	-41.221	41.221	1
85-84	3	-29.588	35.588	1
86-84	5	-24.417	34.417	1
87-84	7.571	-22.599	37.742	1
88-84	15.286	-14.885	45.457	0.99
90-84	6.9	-22.248	36.048	1
91-84	15.4	-16.083	46.883	0.994
92-84	10.333	-20.391	41.058	1
94-84	10.625	-19.124	40.374	1
95-84	7.273	-21.653	36.199	1
96-84	6.4	-25.083	37.883	1
97-84	3.583	-25.157	32.324	1
98-84	9	-22.483	40.483	1
86-85	2	-20.613	24.613	1
87-85	4.571	-19.014	28.157	1
88-85	12.286	-11.3	35.871	0.985
90-85	3.9	-18.362	26.162	1
91-85	12.4	-12.843	37.643	0.994
92-85	7.333	-16.957	31.623	1
94-85	7.625	-15.418	30.668	1
95-85	4.273	-17.698	26.244	1
96-85	3.4	-21.843	28.643	1
97-85	0.583	-21.142	22.309	1
98-85	6	-19.243	31.243	1
87-86	2.571	-16.392	21.535	1
88-86	10.286	-8.678	29.249	0.973
90-86	1.9	-15.39	19.19	1
91-86	10.4	-10.589	31.389	0.993
92-86	5.333	-14.499	25.166	1
94-86	5.625	-12.66	23.91	1
95-86	2.273	-14.641	19.186	1
96-86	1.4	-19.589	22.389	1
97-86	-1.417	-18.01	15.176	1
98-86	4	-16.989	24.989	1
88-87	7.714	-12.4	27.828	1
90-87	-0.671	-19.216	17.873	1
91-87	7.829	-14.205	29.862	1
92-87	2.762	-18.173	23.697	1
94-87	3.054	-16.422	22.529	1
95-87	-0.299	-18.492	17.895	1
96-87	-1.171	-23.205	20.862	1
97-87	-3.988	-21.885	13.908	1
98-87	1.429	-20.605	23.462	1
90-88	-8.386	-26.93	10.158	0.998
91-88	0.114	-21.919	22.148	1
92-88	-4.952	-25.888	15.983	1
94-88	-4.661	-24.136	14.815	1
95-88	-8.013	-26.207	10.181	0.999
96-88	-8.886	-30.919	13.148	1
97-88	-11.702	-29.599	6.194	0.804
98-88	-6.286	-28.319	15.748	1
91-90	8.5	-12.111	29.111	1
92-90	3.433	-15.999	22.865	1
94-90	3.725	-14.124	21.574	1
95-90	0.373	-16.069	16.814	1
96-90	-0.5	-21.111	20.111	1
97-90	-3.317	-19.429	12.795	1
98-90	2.1	-18.511	22.711	1
92-91	-5.067	-27.853	17.719	1
94-91	-4.775	-26.227	16.677	1
95-91	-8.127	-28.423	12.169	1
96-91	-9	-32.799	14.799	1
97-91	-11.817	-31.847	8.213	0.927
98-91	-6.4	-30.199	17.399	1
94-92	0.292	-20.031	20.614	1
95-92	-3.061	-22.158	16.037	1
96-92	-3.933	-26.719	18.853	1
97-92	-6.75	-25.565	12.065	1
98-92	-1.333	-24.119	21.453	1
95-94	-3.352	-20.837	14.133	1
96-94	-4.225	-25.677	17.227	1
97-94	-7.042	-24.217	10.134	1
98-94	-1.625	-23.077	19.827	1
96-95	-0.873	-21.169	19.423	1
97-95	-3.689	-19.397	12.018	1
98-95	1.727	-18.569	22.023	1
97-96	-2.817	-22.847	17.213	1
98-96	2.6	-21.199	26.399	1
98-97	5.417	-14.613	25.447	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	36	1.231	0.202
	123

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608323809poyrxidlp5ul4o/3urby1260832208.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608323809poyrxidlp5ul4o/3urby1260832208.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608323809poyrxidlp5ul4o/4rk121260832208.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t12608323809poyrxidlp5ul4o/4rk121260832208.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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