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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: Tue, 15 Dec 2009 05:15:31 -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/t1260879427bnnnrccygrc1l16.htm/, Retrieved Tue, 15 Dec 2009 13:17:10 +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/t1260879427bnnnrccygrc1l16.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 «

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 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 2 101 2 98 1 78 3 109 1 102 1 81 1 97 2 75 2 97 2 1 101 1 101 2 95 2 95 2 95 2 90 3 107 2 92 1 86 1 70 2 95 2 96 2 91 3 87 2 92 2 97 3 102 1 91 2 68 1 88 2 97 2 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 1 97 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 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 2 95 2 97 2 97 3 92 3 115 3 88 2 87 2 100 2 98 1 102 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	6 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
RespVar ~ AgeGroup
means	90.833	-88.833	-89.833	-87.833	-87.833	-87.833	2.397	1.3	-89.5	-88.833	-89.833	-89.833	-89.333	-89.833	-89.5	-88.833	-89.833	-88.833	-89.333	-89.833	-89.083	-89.167	-88.583	-88.833	-87.833	-88.833	-88.833	-89.5	-88.333	-89.167	-88.833

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
AgeGroup	30	287601.74	9586.725	64.835	0
Residuals	121	17891.464	147.863

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-1	-88.833	-136.528	-41.139	0
102-1	-89.833	-137.528	-42.139	0
109-1	-87.833	-135.528	-40.139	0
111-1	-87.833	-122.098	-53.568	0
115-1	-87.833	-135.528	-40.139	0
2-1	2.397	-8.36	13.155	1
3-1	1.3	-13.537	16.137	1
68-1	-89.5	-117.911	-61.089	0
70-1	-88.833	-136.528	-41.139	0
72-1	-89.833	-137.528	-42.139	0
73-1	-89.833	-137.528	-42.139	0
75-1	-89.333	-123.598	-55.068	0
78-1	-89.833	-137.528	-42.139	0
79-1	-89.5	-117.911	-61.089	0
80-1	-88.833	-123.098	-54.568	0
81-1	-89.833	-137.528	-42.139	0
82-1	-88.833	-136.528	-41.139	0
84-1	-89.333	-123.598	-55.068	0
85-1	-89.833	-137.528	-42.139	0
86-1	-89.083	-114.058	-64.109	0
87-1	-89.167	-117.578	-60.756	0
88-1	-88.583	-113.558	-63.609	0
90-1	-88.833	-117.244	-60.422	0
91-1	-87.833	-135.528	-40.139	0
92-1	-88.833	-136.528	-41.139	0
94-1	-88.833	-113.808	-63.859	0
95-1	-89.5	-117.911	-61.089	0
96-1	-88.333	-122.598	-54.068	0
97-1	-89.167	-117.578	-60.756	0
98-1	-88.833	-123.098	-54.568	0
102-101	-1	-67.354	65.354	1
109-101	1	-65.354	67.354	1
111-101	1	-56.464	58.464	1
115-101	1	-65.354	67.354	1
2-101	91.231	43.863	138.599	0
3-101	90.133	41.676	138.591	0
68-101	-0.667	-54.844	53.511	1
70-101	0	-66.354	66.354	1
72-101	-1	-67.354	65.354	1
73-101	-1	-67.354	65.354	1
75-101	-0.5	-57.964	56.964	1
78-101	-1	-67.354	65.354	1
79-101	-0.667	-54.844	53.511	1
80-101	0	-57.464	57.464	1
81-101	-1	-67.354	65.354	1
82-101	0	-66.354	66.354	1
84-101	-0.5	-57.964	56.964	1
85-101	-1	-67.354	65.354	1
86-101	-0.25	-52.707	52.207	1
87-101	-0.333	-54.511	53.844	1
88-101	0.25	-52.207	52.707	1
90-101	0	-54.177	54.177	1
91-101	1	-65.354	67.354	1
92-101	0	-66.354	66.354	1
94-101	0	-52.457	52.457	1
95-101	-0.667	-54.844	53.511	1
96-101	0.5	-56.964	57.964	1
97-101	-0.333	-54.511	53.844	1
98-101	0	-57.464	57.464	1
109-102	2	-64.354	68.354	1
111-102	2	-55.464	59.464	1
115-102	2	-64.354	68.354	1
2-102	92.231	44.863	139.599	0
3-102	91.133	42.676	139.591	0
68-102	0.333	-53.844	54.511	1
70-102	1	-65.354	67.354	1
72-102	0	-66.354	66.354	1
73-102	0	-66.354	66.354	1
75-102	0.5	-56.964	57.964	1
78-102	0	-66.354	66.354	1
79-102	0.333	-53.844	54.511	1
80-102	1	-56.464	58.464	1
81-102	0	-66.354	66.354	1
82-102	1	-65.354	67.354	1
84-102	0.5	-56.964	57.964	1
85-102	0	-66.354	66.354	1
86-102	0.75	-51.707	53.207	1
87-102	0.667	-53.511	54.844	1
88-102	1.25	-51.207	53.707	1
90-102	1	-53.177	55.177	1
91-102	2	-64.354	68.354	1
92-102	1	-65.354	67.354	1
94-102	1	-51.457	53.457	1
95-102	0.333	-53.844	54.511	1
96-102	1.5	-55.964	58.964	1
97-102	0.667	-53.511	54.844	1
98-102	1	-56.464	58.464	1
111-109	0	-57.464	57.464	1
115-109	0	-66.354	66.354	1
2-109	90.231	42.863	137.599	0
3-109	89.133	40.676	137.591	0
68-109	-1.667	-55.844	52.511	1
70-109	-1	-67.354	65.354	1
72-109	-2	-68.354	64.354	1
73-109	-2	-68.354	64.354	1
75-109	-1.5	-58.964	55.964	1
78-109	-2	-68.354	64.354	1
79-109	-1.667	-55.844	52.511	1
80-109	-1	-58.464	56.464	1
81-109	-2	-68.354	64.354	1
82-109	-1	-67.354	65.354	1
84-109	-1.5	-58.964	55.964	1
85-109	-2	-68.354	64.354	1
86-109	-1.25	-53.707	51.207	1
87-109	-1.333	-55.511	52.844	1
88-109	-0.75	-53.207	51.707	1
90-109	-1	-55.177	53.177	1
91-109	0	-66.354	66.354	1
92-109	-1	-67.354	65.354	1
94-109	-1	-53.457	51.457	1
95-109	-1.667	-55.844	52.511	1
96-109	-0.5	-57.964	56.964	1
97-109	-1.333	-55.511	52.844	1
98-109	-1	-58.464	56.464	1
115-111	0	-57.464	57.464	1
2-111	90.231	56.422	124.04	0
3-111	89.133	53.814	124.453	0
68-111	-1.667	-44.498	41.164	1
70-111	-1	-58.464	56.464	1
72-111	-2	-59.464	55.464	1
73-111	-2	-59.464	55.464	1
75-111	-1.5	-48.419	45.419	1
78-111	-2	-59.464	55.464	1
79-111	-1.667	-44.498	41.164	1
80-111	-1	-47.919	45.919	1
81-111	-2	-59.464	55.464	1
82-111	-1	-58.464	56.464	1
84-111	-1.5	-48.419	45.419	1
85-111	-2	-59.464	55.464	1
86-111	-1.25	-41.883	39.383	1
87-111	-1.333	-44.164	41.498	1
88-111	-0.75	-41.383	39.883	1
90-111	-1	-43.831	41.831	1
91-111	0	-57.464	57.464	1
92-111	-1	-58.464	56.464	1
94-111	-1	-41.633	39.633	1
95-111	-1.667	-44.498	41.164	1
96-111	-0.5	-47.419	46.419	1
97-111	-1.333	-44.164	41.498	1
98-111	-1	-47.919	45.919	1
2-115	90.231	42.863	137.599	0
3-115	89.133	40.676	137.591	0
68-115	-1.667	-55.844	52.511	1
70-115	-1	-67.354	65.354	1
72-115	-2	-68.354	64.354	1
73-115	-2	-68.354	64.354	1
75-115	-1.5	-58.964	55.964	1
78-115	-2	-68.354	64.354	1
79-115	-1.667	-55.844	52.511	1
80-115	-1	-58.464	56.464	1
81-115	-2	-68.354	64.354	1
82-115	-1	-67.354	65.354	1
84-115	-1.5	-58.964	55.964	1
85-115	-2	-68.354	64.354	1
86-115	-1.25	-53.707	51.207	1
87-115	-1.333	-55.511	52.844	1
88-115	-0.75	-53.207	51.707	1
90-115	-1	-55.177	53.177	1
91-115	0	-66.354	66.354	1
92-115	-1	-67.354	65.354	1
94-115	-1	-53.457	51.457	1
95-115	-1.667	-55.844	52.511	1
96-115	-0.5	-57.964	56.964	1
97-115	-1.333	-55.511	52.844	1
98-115	-1	-58.464	56.464	1
3-2	-1.097	-14.849	12.654	1
68-2	-91.897	-119.757	-64.038	0
70-2	-91.231	-138.599	-43.863	0
72-2	-92.231	-139.599	-44.863	0
73-2	-92.231	-139.599	-44.863	0
75-2	-91.731	-125.54	-57.922	0
78-2	-92.231	-139.599	-44.863	0
79-2	-91.897	-119.757	-64.038	0
80-2	-91.231	-125.04	-57.422	0
81-2	-92.231	-139.599	-44.863	0
82-2	-91.231	-138.599	-43.863	0
84-2	-91.731	-125.54	-57.922	0
85-2	-92.231	-139.599	-44.863	0
86-2	-91.481	-115.826	-67.136	0
87-2	-91.564	-119.423	-63.705	0
88-2	-90.981	-115.326	-66.636	0
90-2	-91.231	-119.09	-63.372	0
91-2	-90.231	-137.599	-42.863	0
92-2	-91.231	-138.599	-43.863	0
94-2	-91.231	-115.576	-66.886	0
95-2	-91.897	-119.757	-64.038	0
96-2	-90.731	-124.54	-56.922	0
97-2	-91.564	-119.423	-63.705	0
98-2	-91.231	-125.04	-57.422	0
68-3	-90.8	-120.474	-61.126	0
70-3	-90.133	-138.591	-41.676	0
72-3	-91.133	-139.591	-42.676	0
73-3	-91.133	-139.591	-42.676	0
75-3	-90.633	-125.953	-55.314	0
78-3	-91.133	-139.591	-42.676	0
79-3	-90.8	-120.474	-61.126	0
80-3	-90.133	-125.453	-54.814	0
81-3	-91.133	-139.591	-42.676	0
82-3	-90.133	-138.591	-41.676	0
84-3	-90.633	-125.953	-55.314	0
85-3	-91.133	-139.591	-42.676	0
86-3	-90.383	-116.786	-63.98	0
87-3	-90.467	-120.141	-60.792	0
88-3	-89.883	-116.286	-63.48	0
90-3	-90.133	-119.808	-60.459	0
91-3	-89.133	-137.591	-40.676	0
92-3	-90.133	-138.591	-41.676	0
94-3	-90.133	-116.536	-63.73	0
95-3	-90.8	-120.474	-61.126	0
96-3	-89.633	-124.953	-54.314	0
97-3	-90.467	-120.141	-60.792	0
98-3	-90.133	-125.453	-54.814	0
70-68	0.667	-53.511	54.844	1
72-68	-0.333	-54.511	53.844	1
73-68	-0.333	-54.511	53.844	1
75-68	0.167	-42.664	42.998	1
78-68	-0.333	-54.511	53.844	1
79-68	0	-38.309	38.309	1
80-68	0.667	-42.164	43.498	1
81-68	-0.333	-54.511	53.844	1
82-68	0.667	-53.511	54.844	1
84-68	0.167	-42.664	42.998	1
85-68	-0.333	-54.511	53.844	1
86-68	0.417	-35.418	36.252	1
87-68	0.333	-37.976	38.643	1
88-68	0.917	-34.918	36.752	1
90-68	0.667	-37.643	38.976	1
91-68	1.667	-52.511	55.844	1
92-68	0.667	-53.511	54.844	1
94-68	0.667	-35.168	36.502	1
95-68	0	-38.309	38.309	1
96-68	1.167	-41.664	43.998	1
97-68	0.333	-37.976	38.643	1
98-68	0.667	-42.164	43.498	1
72-70	-1	-67.354	65.354	1
73-70	-1	-67.354	65.354	1
75-70	-0.5	-57.964	56.964	1
78-70	-1	-67.354	65.354	1
79-70	-0.667	-54.844	53.511	1
80-70	0	-57.464	57.464	1
81-70	-1	-67.354	65.354	1
82-70	0	-66.354	66.354	1
84-70	-0.5	-57.964	56.964	1
85-70	-1	-67.354	65.354	1
86-70	-0.25	-52.707	52.207	1
87-70	-0.333	-54.511	53.844	1
88-70	0.25	-52.207	52.707	1
90-70	0	-54.177	54.177	1
91-70	1	-65.354	67.354	1
92-70	0	-66.354	66.354	1
94-70	0	-52.457	52.457	1
95-70	-0.667	-54.844	53.511	1
96-70	0.5	-56.964	57.964	1
97-70	-0.333	-54.511	53.844	1
98-70	0	-57.464	57.464	1
73-72	0	-66.354	66.354	1
75-72	0.5	-56.964	57.964	1
78-72	0	-66.354	66.354	1
79-72	0.333	-53.844	54.511	1
80-72	1	-56.464	58.464	1
81-72	0	-66.354	66.354	1
82-72	1	-65.354	67.354	1
84-72	0.5	-56.964	57.964	1
85-72	0	-66.354	66.354	1
86-72	0.75	-51.707	53.207	1
87-72	0.667	-53.511	54.844	1
88-72	1.25	-51.207	53.707	1
90-72	1	-53.177	55.177	1
91-72	2	-64.354	68.354	1
92-72	1	-65.354	67.354	1
94-72	1	-51.457	53.457	1
95-72	0.333	-53.844	54.511	1
96-72	1.5	-55.964	58.964	1
97-72	0.667	-53.511	54.844	1
98-72	1	-56.464	58.464	1
75-73	0.5	-56.964	57.964	1
78-73	0	-66.354	66.354	1
79-73	0.333	-53.844	54.511	1
80-73	1	-56.464	58.464	1
81-73	0	-66.354	66.354	1
82-73	1	-65.354	67.354	1
84-73	0.5	-56.964	57.964	1
85-73	0	-66.354	66.354	1
86-73	0.75	-51.707	53.207	1
87-73	0.667	-53.511	54.844	1
88-73	1.25	-51.207	53.707	1
90-73	1	-53.177	55.177	1
91-73	2	-64.354	68.354	1
92-73	1	-65.354	67.354	1
94-73	1	-51.457	53.457	1
95-73	0.333	-53.844	54.511	1
96-73	1.5	-55.964	58.964	1
97-73	0.667	-53.511	54.844	1
98-73	1	-56.464	58.464	1
78-75	-0.5	-57.964	56.964	1
79-75	-0.167	-42.998	42.664	1
80-75	0.5	-46.419	47.419	1
81-75	-0.5	-57.964	56.964	1
82-75	0.5	-56.964	57.964	1
84-75	0	-46.919	46.919	1
85-75	-0.5	-57.964	56.964	1
86-75	0.25	-40.383	40.883	1
87-75	0.167	-42.664	42.998	1
88-75	0.75	-39.883	41.383	1
90-75	0.5	-42.331	43.331	1
91-75	1.5	-55.964	58.964	1
92-75	0.5	-56.964	57.964	1
94-75	0.5	-40.133	41.133	1
95-75	-0.167	-42.998	42.664	1
96-75	1	-45.919	47.919	1
97-75	0.167	-42.664	42.998	1
98-75	0.5	-46.419	47.419	1
79-78	0.333	-53.844	54.511	1
80-78	1	-56.464	58.464	1
81-78	0	-66.354	66.354	1
82-78	1	-65.354	67.354	1
84-78	0.5	-56.964	57.964	1
85-78	0	-66.354	66.354	1
86-78	0.75	-51.707	53.207	1
87-78	0.667	-53.511	54.844	1
88-78	1.25	-51.207	53.707	1
90-78	1	-53.177	55.177	1
91-78	2	-64.354	68.354	1
92-78	1	-65.354	67.354	1
94-78	1	-51.457	53.457	1
95-78	0.333	-53.844	54.511	1
96-78	1.5	-55.964	58.964	1
97-78	0.667	-53.511	54.844	1
98-78	1	-56.464	58.464	1
80-79	0.667	-42.164	43.498	1
81-79	-0.333	-54.511	53.844	1
82-79	0.667	-53.511	54.844	1
84-79	0.167	-42.664	42.998	1
85-79	-0.333	-54.511	53.844	1
86-79	0.417	-35.418	36.252	1
87-79	0.333	-37.976	38.643	1
88-79	0.917	-34.918	36.752	1
90-79	0.667	-37.643	38.976	1
91-79	1.667	-52.511	55.844	1
92-79	0.667	-53.511	54.844	1
94-79	0.667	-35.168	36.502	1
95-79	0	-38.309	38.309	1
96-79	1.167	-41.664	43.998	1
97-79	0.333	-37.976	38.643	1
98-79	0.667	-42.164	43.498	1
81-80	-1	-58.464	56.464	1
82-80	0	-57.464	57.464	1
84-80	-0.5	-47.419	46.419	1
85-80	-1	-58.464	56.464	1
86-80	-0.25	-40.883	40.383	1
87-80	-0.333	-43.164	42.498	1
88-80	0.25	-40.383	40.883	1
90-80	0	-42.831	42.831	1
91-80	1	-56.464	58.464	1
92-80	0	-57.464	57.464	1
94-80	0	-40.633	40.633	1
95-80	-0.667	-43.498	42.164	1
96-80	0.5	-46.419	47.419	1
97-80	-0.333	-43.164	42.498	1
98-80	0	-46.919	46.919	1
82-81	1	-65.354	67.354	1
84-81	0.5	-56.964	57.964	1
85-81	0	-66.354	66.354	1
86-81	0.75	-51.707	53.207	1
87-81	0.667	-53.511	54.844	1
88-81	1.25	-51.207	53.707	1
90-81	1	-53.177	55.177	1
91-81	2	-64.354	68.354	1
92-81	1	-65.354	67.354	1
94-81	1	-51.457	53.457	1
95-81	0.333	-53.844	54.511	1
96-81	1.5	-55.964	58.964	1
97-81	0.667	-53.511	54.844	1
98-81	1	-56.464	58.464	1
84-82	-0.5	-57.964	56.964	1
85-82	-1	-67.354	65.354	1
86-82	-0.25	-52.707	52.207	1
87-82	-0.333	-54.511	53.844	1
88-82	0.25	-52.207	52.707	1
90-82	0	-54.177	54.177	1
91-82	1	-65.354	67.354	1
92-82	0	-66.354	66.354	1
94-82	0	-52.457	52.457	1
95-82	-0.667	-54.844	53.511	1
96-82	0.5	-56.964	57.964	1
97-82	-0.333	-54.511	53.844	1
98-82	0	-57.464	57.464	1
85-84	-0.5	-57.964	56.964	1
86-84	0.25	-40.383	40.883	1
87-84	0.167	-42.664	42.998	1
88-84	0.75	-39.883	41.383	1
90-84	0.5	-42.331	43.331	1
91-84	1.5	-55.964	58.964	1
92-84	0.5	-56.964	57.964	1
94-84	0.5	-40.133	41.133	1
95-84	-0.167	-42.998	42.664	1
96-84	1	-45.919	47.919	1
97-84	0.167	-42.664	42.998	1
98-84	0.5	-46.419	47.419	1
86-85	0.75	-51.707	53.207	1
87-85	0.667	-53.511	54.844	1
88-85	1.25	-51.207	53.707	1
90-85	1	-53.177	55.177	1
91-85	2	-64.354	68.354	1
92-85	1	-65.354	67.354	1
94-85	1	-51.457	53.457	1
95-85	0.333	-53.844	54.511	1
96-85	1.5	-55.964	58.964	1
97-85	0.667	-53.511	54.844	1
98-85	1	-56.464	58.464	1
87-86	-0.083	-35.918	35.752	1
88-86	0.5	-32.677	33.677	1
90-86	0.25	-35.585	36.085	1
91-86	1.25	-51.207	53.707	1
92-86	0.25	-52.207	52.707	1
94-86	0.25	-32.927	33.427	1
95-86	-0.417	-36.252	35.418	1
96-86	0.75	-39.883	41.383	1
97-86	-0.083	-35.918	35.752	1
98-86	0.25	-40.383	40.883	1
88-87	0.583	-35.252	36.418	1
90-87	0.333	-37.976	38.643	1
91-87	1.333	-52.844	55.511	1
92-87	0.333	-53.844	54.511	1
94-87	0.333	-35.502	36.168	1
95-87	-0.333	-38.643	37.976	1
96-87	0.833	-41.998	43.664	1
97-87	0	-38.309	38.309	1
98-87	0.333	-42.498	43.164	1
90-88	-0.25	-36.085	35.585	1
91-88	0.75	-51.707	53.207	1
92-88	-0.25	-52.707	52.207	1
94-88	-0.25	-33.427	32.927	1
95-88	-0.917	-36.752	34.918	1
96-88	0.25	-40.383	40.883	1
97-88	-0.583	-36.418	35.252	1
98-88	-0.25	-40.883	40.383	1
91-90	1	-53.177	55.177	1
92-90	0	-54.177	54.177	1
94-90	0	-35.835	35.835	1
95-90	-0.667	-38.976	37.643	1
96-90	0.5	-42.331	43.331	1
97-90	-0.333	-38.643	37.976	1
98-90	0	-42.831	42.831	1
92-91	-1	-67.354	65.354	1
94-91	-1	-53.457	51.457	1
95-91	-1.667	-55.844	52.511	1
96-91	-0.5	-57.964	56.964	1
97-91	-1.333	-55.511	52.844	1
98-91	-1	-58.464	56.464	1
94-92	0	-52.457	52.457	1
95-92	-0.667	-54.844	53.511	1
96-92	0.5	-56.964	57.964	1
97-92	-0.333	-54.511	53.844	1
98-92	0	-57.464	57.464	1
95-94	-0.667	-36.502	35.168	1
96-94	0.5	-40.133	41.133	1
97-94	-0.333	-36.168	35.502	1
98-94	0	-40.633	40.633	1
96-95	1.167	-41.664	43.998	1
97-95	0.333	-37.976	38.643	1
98-95	0.667	-42.164	43.498	1
97-96	-0.833	-43.664	41.998	1
98-96	-0.5	-47.419	46.419	1
98-97	0.333	-42.498	43.164	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	30	1.004	0.471
	121

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260879427bnnnrccygrc1l16/3rpoh1260879325.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260879427bnnnrccygrc1l16/3rpoh1260879325.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260879427bnnnrccygrc1l16/47dyh1260879325.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260879427bnnnrccygrc1l16/47dyh1260879325.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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