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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: One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)

Date of computation: Mon, 29 Nov 2010 21:25:13 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr.htm/, Retrieved Mon, 29 Nov 2010 22:23:43 +0100

BibTeX entries for LaTeX users:

@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

1 88 3 94 3 90 3 73 1 68 2 80 3 86 3 86 2 91 1 79 1 96 3 92 3 72 3 96 1 70 3 86 3 87 3 88 2 79 2 90 1 95 1 85 3 90 1 115 1 84 3 79 1 94 2 97 3 86 2 111 2 87 3 98 1 87 3 68 3 88 1 82 2 111 1 75 1 94 2 95 1 80 1 95 3 68 2 94 2 88 1 84 1 101 1 98 2 78 3 109 3 102 3 81 3 97 2 75 2 97 3 101 3 101 2 95 2 95 3 95 2 90 3 107 3 92 2 86 2 70 3 95 3 96 2 91 1 87 2 92 2 97 2 102 2 91 3 68 2 88 3 97 1 90 3 101 3 94 1 101 1 109 2 100 1 103 3 94 1 97 3 85 2 75 3 77 1 87 1 78 2 108 3 97 1 105 3 106 1 107 2 95 2 107 3 115 3 101 1 85 3 90 3 115 3 95 2 97 3 112 3 97 3 77 3 90 1 94 3 103 1 77 3 98 3 90 3 111 2 77 3 88 2 75 3 92 2 78 2 106 2 80 3 87 3 92 1 111 3 86 3 85 2 90 1 101 3 94 3 86 3 86 2 90 1 75 3 86 3 91 3 97 2 91 3 70 2 98 3 96 3 95 2 100 3 95 3 97 3 97 3 92 1 115 3 88 2 87 3 100 3 98 1 102 3 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	36 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

ANOVA Model
MOMAGE ~ WISCRY7V
means	2.333	-0.19	-0.333	-0.333	-1.333	0.167	-0.333	-0.333	-0.333	-0.333	0.667	-0.333	0.167	-0.333	0.667	0.667	-0.733	-0.083	-0.667	-0.333	-0.667	0.667	-1.333	-1.333	-0.333	0.556	-0.476	0.095	0.067	-0.133	0.5	-0.208	-0.061	0.267	0.167	0.067

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	35	23.795	0.68	1.016	0.457
Residuals	117	78.258	0.669

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	-0.19	-2.414	2.033	1
102-100	-0.333	-2.964	2.297	1
103-100	-0.333	-3.274	2.608	1
105-100	-1.333	-5.053	2.387	1
106-100	0.167	-2.774	3.108	1
107-100	-0.333	-2.964	2.297	1
108-100	-0.333	-4.053	3.387	1
109-100	-0.333	-3.274	2.608	1
111-100	-0.333	-2.794	2.127	1
112-100	0.667	-3.053	4.387	1
115-100	-0.333	-2.794	2.127	1
68-100	0.167	-2.294	2.627	1
70-100	-0.333	-2.964	2.297	1
72-100	0.667	-3.053	4.387	1
73-100	0.667	-3.053	4.387	1
75-100	-0.733	-3.086	1.619	1
77-100	-0.083	-2.544	2.377	1
78-100	-0.667	-3.297	1.964	1
79-100	-0.333	-2.964	2.297	1
80-100	-0.667	-3.297	1.964	1
81-100	0.667	-3.053	4.387	1
82-100	-1.333	-5.053	2.387	1
84-100	-1.333	-4.274	1.608	0.998
85-100	-0.333	-2.794	2.127	1
86-100	0.556	-1.592	2.703	1
87-100	-0.476	-2.699	1.747	1
88-100	0.095	-2.128	2.318	1
90-100	0.067	-2.054	2.187	1
91-100	-0.133	-2.486	2.219	1
92-100	0.5	-1.778	2.778	1
94-100	-0.208	-2.389	1.973	1
95-100	-0.061	-2.159	2.038	1
96-100	0.267	-2.086	2.619	1
97-100	0.167	-1.913	2.246	1
98-100	0.067	-2.286	2.419	1
102-101	-0.143	-2.366	2.08	1
103-101	-0.143	-2.726	2.44	1
105-101	-1.143	-4.587	2.301	1
106-101	0.357	-2.226	2.94	1
107-101	-0.143	-2.366	2.08	1
108-101	-0.143	-3.587	3.301	1
109-101	-0.143	-2.726	2.44	1
111-101	-0.143	-2.162	1.876	1
112-101	0.857	-2.587	4.301	1
115-101	-0.143	-2.162	1.876	1
68-101	0.357	-1.662	2.376	1
70-101	-0.143	-2.366	2.08	1
72-101	0.857	-2.587	4.301	1
73-101	0.857	-2.587	4.301	1
75-101	-0.543	-2.429	1.344	1
77-101	0.107	-1.912	2.126	1
78-101	-0.476	-2.699	1.747	1
79-101	-0.143	-2.366	2.08	1
80-101	-0.476	-2.699	1.747	1
81-101	0.857	-2.587	4.301	1
82-101	-1.143	-4.587	2.301	1
84-101	-1.143	-3.726	1.44	0.999
85-101	-0.143	-2.162	1.876	1
86-101	0.746	-0.878	2.37	0.998
87-101	-0.286	-2.008	1.436	1
88-101	0.286	-1.436	2.008	1
90-101	0.257	-1.331	1.845	1
91-101	0.057	-1.829	1.944	1
92-101	0.69	-1.102	2.483	1
94-101	-0.018	-1.685	1.65	1
95-101	0.13	-1.428	1.688	1
96-101	0.457	-1.429	2.344	1
97-101	0.357	-1.175	1.889	1
98-101	0.257	-1.629	2.144	1
103-102	0	-2.941	2.941	1
105-102	-1	-4.72	2.72	1
106-102	0.5	-2.441	3.441	1
107-102	0	-2.631	2.631	1
108-102	0	-3.72	3.72	1
109-102	0	-2.941	2.941	1
111-102	0	-2.461	2.461	1
112-102	1	-2.72	4.72	1
115-102	0	-2.461	2.461	1
68-102	0.5	-1.961	2.961	1
70-102	0	-2.631	2.631	1
72-102	1	-2.72	4.72	1
73-102	1	-2.72	4.72	1
75-102	-0.4	-2.753	1.953	1
77-102	0.25	-2.211	2.711	1
78-102	-0.333	-2.964	2.297	1
79-102	0	-2.631	2.631	1
80-102	-0.333	-2.964	2.297	1
81-102	1	-2.72	4.72	1
82-102	-1	-4.72	2.72	1
84-102	-1	-3.941	1.941	1
85-102	0	-2.461	2.461	1
86-102	0.889	-1.259	3.037	1
87-102	-0.143	-2.366	2.08	1
88-102	0.429	-1.795	2.652	1
90-102	0.4	-1.721	2.521	1
91-102	0.2	-2.153	2.553	1
92-102	0.833	-1.445	3.111	1
94-102	0.125	-2.056	2.306	1
95-102	0.273	-1.826	2.371	1
96-102	0.6	-1.753	2.953	1
97-102	0.5	-1.58	2.58	1
98-102	0.4	-1.953	2.753	1
105-103	-1	-4.946	2.946	1
106-103	0.5	-2.722	3.722	1
107-103	0	-2.941	2.941	1
108-103	0	-3.946	3.946	1
109-103	0	-3.222	3.222	1
111-103	0	-2.79	2.79	1
112-103	1	-2.946	4.946	1
115-103	0	-2.79	2.79	1
68-103	0.5	-2.29	3.29	1
70-103	0	-2.941	2.941	1
72-103	1	-2.946	4.946	1
73-103	1	-2.946	4.946	1
75-103	-0.4	-3.095	2.295	1
77-103	0.25	-2.54	3.04	1
78-103	-0.333	-3.274	2.608	1
79-103	0	-2.941	2.941	1
80-103	-0.333	-3.274	2.608	1
81-103	1	-2.946	4.946	1
82-103	-1	-4.946	2.946	1
84-103	-1	-4.222	2.222	1
85-103	0	-2.79	2.79	1
86-103	0.889	-1.63	3.407	1
87-103	-0.143	-2.726	2.44	1
88-103	0.429	-2.155	3.012	1
90-103	0.4	-2.096	2.896	1
91-103	0.2	-2.495	2.895	1
92-103	0.833	-1.797	3.464	1
94-103	0.125	-2.422	2.672	1
95-103	0.273	-2.204	2.749	1
96-103	0.6	-2.095	3.295	1
97-103	0.5	-1.961	2.961	1
98-103	0.4	-2.295	3.095	1
106-105	1.5	-2.446	5.446	1
107-105	1	-2.72	4.72	1
108-105	1	-3.556	5.556	1
109-105	1	-2.946	4.946	1
111-105	1	-2.602	4.602	1
112-105	2	-2.556	6.556	0.999
115-105	1	-2.602	4.602	1
68-105	1.5	-2.102	5.102	1
70-105	1	-2.72	4.72	1
72-105	2	-2.556	6.556	0.999
73-105	2	-2.556	6.556	0.999
75-105	0.6	-2.929	4.129	1
77-105	1.25	-2.352	4.852	1
78-105	0.667	-3.053	4.387	1
79-105	1	-2.72	4.72	1
80-105	0.667	-3.053	4.387	1
81-105	2	-2.556	6.556	0.999
82-105	0	-4.556	4.556	1
84-105	0	-3.946	3.946	1
85-105	1	-2.602	4.602	1
86-105	1.889	-1.507	5.285	0.96
87-105	0.857	-2.587	4.301	1
88-105	1.429	-2.016	4.873	1
90-105	1.4	-1.979	4.779	1
91-105	1.2	-2.329	4.729	1
92-105	1.833	-1.647	5.313	0.98
94-105	1.125	-2.292	4.542	1
95-105	1.273	-2.092	4.638	1
96-105	1.6	-1.929	5.129	0.998
97-105	1.5	-1.853	4.853	0.998
98-105	1.4	-2.129	4.929	1
107-106	-0.5	-3.441	2.441	1
108-106	-0.5	-4.446	3.446	1
109-106	-0.5	-3.722	2.722	1
111-106	-0.5	-3.29	2.29	1
112-106	0.5	-3.446	4.446	1
115-106	-0.5	-3.29	2.29	1
68-106	0	-2.79	2.79	1
70-106	-0.5	-3.441	2.441	1
72-106	0.5	-3.446	4.446	1
73-106	0.5	-3.446	4.446	1
75-106	-0.9	-3.595	1.795	1
77-106	-0.25	-3.04	2.54	1
78-106	-0.833	-3.774	2.108	1
79-106	-0.5	-3.441	2.441	1
80-106	-0.833	-3.774	2.108	1
81-106	0.5	-3.446	4.446	1
82-106	-1.5	-5.446	2.446	1
84-106	-1.5	-4.722	1.722	0.997
85-106	-0.5	-3.29	2.29	1
86-106	0.389	-2.13	2.907	1
87-106	-0.643	-3.226	1.94	1
88-106	-0.071	-2.655	2.512	1
90-106	-0.1	-2.596	2.396	1
91-106	-0.3	-2.995	2.395	1
92-106	0.333	-2.297	2.964	1
94-106	-0.375	-2.922	2.172	1
95-106	-0.227	-2.704	2.249	1
96-106	0.1	-2.595	2.795	1
97-106	0	-2.461	2.461	1
98-106	-0.1	-2.795	2.595	1
108-107	0	-3.72	3.72	1
109-107	0	-2.941	2.941	1
111-107	0	-2.461	2.461	1
112-107	1	-2.72	4.72	1
115-107	0	-2.461	2.461	1
68-107	0.5	-1.961	2.961	1
70-107	0	-2.631	2.631	1
72-107	1	-2.72	4.72	1
73-107	1	-2.72	4.72	1
75-107	-0.4	-2.753	1.953	1
77-107	0.25	-2.211	2.711	1
78-107	-0.333	-2.964	2.297	1
79-107	0	-2.631	2.631	1
80-107	-0.333	-2.964	2.297	1
81-107	1	-2.72	4.72	1
82-107	-1	-4.72	2.72	1
84-107	-1	-3.941	1.941	1
85-107	0	-2.461	2.461	1
86-107	0.889	-1.259	3.037	1
87-107	-0.143	-2.366	2.08	1
88-107	0.429	-1.795	2.652	1
90-107	0.4	-1.721	2.521	1
91-107	0.2	-2.153	2.553	1
92-107	0.833	-1.445	3.111	1
94-107	0.125	-2.056	2.306	1
95-107	0.273	-1.826	2.371	1
96-107	0.6	-1.753	2.953	1
97-107	0.5	-1.58	2.58	1
98-107	0.4	-1.953	2.753	1
109-108	0	-3.946	3.946	1
111-108	0	-3.602	3.602	1
112-108	1	-3.556	5.556	1
115-108	0	-3.602	3.602	1
68-108	0.5	-3.102	4.102	1
70-108	0	-3.72	3.72	1
72-108	1	-3.556	5.556	1
73-108	1	-3.556	5.556	1
75-108	-0.4	-3.929	3.129	1
77-108	0.25	-3.352	3.852	1
78-108	-0.333	-4.053	3.387	1
79-108	0	-3.72	3.72	1
80-108	-0.333	-4.053	3.387	1
81-108	1	-3.556	5.556	1
82-108	-1	-5.556	3.556	1
84-108	-1	-4.946	2.946	1
85-108	0	-3.602	3.602	1
86-108	0.889	-2.507	4.285	1
87-108	-0.143	-3.587	3.301	1
88-108	0.429	-3.016	3.873	1
90-108	0.4	-2.979	3.779	1
91-108	0.2	-3.329	3.729	1
92-108	0.833	-2.647	4.313	1
94-108	0.125	-3.292	3.542	1
95-108	0.273	-3.092	3.638	1
96-108	0.6	-2.929	4.129	1
97-108	0.5	-2.853	3.853	1
98-108	0.4	-3.129	3.929	1
111-109	0	-2.79	2.79	1
112-109	1	-2.946	4.946	1
115-109	0	-2.79	2.79	1
68-109	0.5	-2.29	3.29	1
70-109	0	-2.941	2.941	1
72-109	1	-2.946	4.946	1
73-109	1	-2.946	4.946	1
75-109	-0.4	-3.095	2.295	1
77-109	0.25	-2.54	3.04	1
78-109	-0.333	-3.274	2.608	1
79-109	0	-2.941	2.941	1
80-109	-0.333	-3.274	2.608	1
81-109	1	-2.946	4.946	1
82-109	-1	-4.946	2.946	1
84-109	-1	-4.222	2.222	1
85-109	0	-2.79	2.79	1
86-109	0.889	-1.63	3.407	1
87-109	-0.143	-2.726	2.44	1
88-109	0.429	-2.155	3.012	1
90-109	0.4	-2.096	2.896	1
91-109	0.2	-2.495	2.895	1
92-109	0.833	-1.797	3.464	1
94-109	0.125	-2.422	2.672	1
95-109	0.273	-2.204	2.749	1
96-109	0.6	-2.095	3.295	1
97-109	0.5	-1.961	2.961	1
98-109	0.4	-2.295	3.095	1
112-111	1	-2.602	4.602	1
115-111	0	-2.278	2.278	1
68-111	0.5	-1.778	2.778	1
70-111	0	-2.461	2.461	1
72-111	1	-2.602	4.602	1
73-111	1	-2.602	4.602	1
75-111	-0.4	-2.561	1.761	1
77-111	0.25	-2.028	2.528	1
78-111	-0.333	-2.794	2.127	1
79-111	0	-2.461	2.461	1
80-111	-0.333	-2.794	2.127	1
81-111	1	-2.602	4.602	1
82-111	-1	-4.602	2.602	1
84-111	-1	-3.79	1.79	1
85-111	0	-2.278	2.278	1
86-111	0.889	-1.047	2.825	0.998
87-111	-0.143	-2.162	1.876	1
88-111	0.429	-1.591	2.448	1
90-111	0.4	-1.506	2.306	1
91-111	0.2	-1.961	2.361	1
92-111	0.833	-1.246	2.913	1
94-111	0.125	-1.848	2.098	1
95-111	0.273	-1.608	2.154	1
96-111	0.6	-1.561	2.761	1
97-111	0.5	-1.36	2.36	1
98-111	0.4	-1.761	2.561	1
115-112	-1	-4.602	2.602	1
68-112	-0.5	-4.102	3.102	1
70-112	-1	-4.72	2.72	1
72-112	0	-4.556	4.556	1
73-112	0	-4.556	4.556	1
75-112	-1.4	-4.929	2.129	1
77-112	-0.75	-4.352	2.852	1
78-112	-1.333	-5.053	2.387	1
79-112	-1	-4.72	2.72	1
80-112	-1.333	-5.053	2.387	1
81-112	0	-4.556	4.556	1
82-112	-2	-6.556	2.556	0.999
84-112	-2	-5.946	1.946	0.988
85-112	-1	-4.602	2.602	1
86-112	-0.111	-3.507	3.285	1
87-112	-1.143	-4.587	2.301	1
88-112	-0.571	-4.016	2.873	1
90-112	-0.6	-3.979	2.779	1
91-112	-0.8	-4.329	2.729	1
92-112	-0.167	-3.647	3.313	1
94-112	-0.875	-4.292	2.542	1
95-112	-0.727	-4.092	2.638	1
96-112	-0.4	-3.929	3.129	1
97-112	-0.5	-3.853	2.853	1
98-112	-0.6	-4.129	2.929	1
68-115	0.5	-1.778	2.778	1
70-115	0	-2.461	2.461	1
72-115	1	-2.602	4.602	1
73-115	1	-2.602	4.602	1
75-115	-0.4	-2.561	1.761	1
77-115	0.25	-2.028	2.528	1
78-115	-0.333	-2.794	2.127	1
79-115	0	-2.461	2.461	1
80-115	-0.333	-2.794	2.127	1
81-115	1	-2.602	4.602	1
82-115	-1	-4.602	2.602	1
84-115	-1	-3.79	1.79	1
85-115	0	-2.278	2.278	1
86-115	0.889	-1.047	2.825	0.998
87-115	-0.143	-2.162	1.876	1
88-115	0.429	-1.591	2.448	1
90-115	0.4	-1.506	2.306	1
91-115	0.2	-1.961	2.361	1
92-115	0.833	-1.246	2.913	1
94-115	0.125	-1.848	2.098	1
95-115	0.273	-1.608	2.154	1
96-115	0.6	-1.561	2.761	1
97-115	0.5	-1.36	2.36	1
98-115	0.4	-1.761	2.561	1
70-68	-0.5	-2.961	1.961	1
72-68	0.5	-3.102	4.102	1
73-68	0.5	-3.102	4.102	1
75-68	-0.9	-3.061	1.261	1
77-68	-0.25	-2.528	2.028	1
78-68	-0.833	-3.294	1.627	1
79-68	-0.5	-2.961	1.961	1
80-68	-0.833	-3.294	1.627	1
81-68	0.5	-3.102	4.102	1
82-68	-1.5	-5.102	2.102	1
84-68	-1.5	-4.29	1.29	0.974
85-68	-0.5	-2.778	1.778	1
86-68	0.389	-1.547	2.325	1
87-68	-0.643	-2.662	1.376	1
88-68	-0.071	-2.091	1.948	1
90-68	-0.1	-2.006	1.806	1
91-68	-0.3	-2.461	1.861	1
92-68	0.333	-1.746	2.413	1
94-68	-0.375	-2.348	1.598	1
95-68	-0.227	-2.108	1.654	1
96-68	0.1	-2.061	2.261	1
97-68	0	-1.86	1.86	1
98-68	-0.1	-2.261	2.061	1
72-70	1	-2.72	4.72	1
73-70	1	-2.72	4.72	1
75-70	-0.4	-2.753	1.953	1
77-70	0.25	-2.211	2.711	1
78-70	-0.333	-2.964	2.297	1
79-70	0	-2.631	2.631	1
80-70	-0.333	-2.964	2.297	1
81-70	1	-2.72	4.72	1
82-70	-1	-4.72	2.72	1
84-70	-1	-3.941	1.941	1
85-70	0	-2.461	2.461	1
86-70	0.889	-1.259	3.037	1
87-70	-0.143	-2.366	2.08	1
88-70	0.429	-1.795	2.652	1
90-70	0.4	-1.721	2.521	1
91-70	0.2	-2.153	2.553	1
92-70	0.833	-1.445	3.111	1
94-70	0.125	-2.056	2.306	1
95-70	0.273	-1.826	2.371	1
96-70	0.6	-1.753	2.953	1
97-70	0.5	-1.58	2.58	1
98-70	0.4	-1.953	2.753	1
73-72	0	-4.556	4.556	1
75-72	-1.4	-4.929	2.129	1
77-72	-0.75	-4.352	2.852	1
78-72	-1.333	-5.053	2.387	1
79-72	-1	-4.72	2.72	1
80-72	-1.333	-5.053	2.387	1
81-72	0	-4.556	4.556	1
82-72	-2	-6.556	2.556	0.999
84-72	-2	-5.946	1.946	0.988
85-72	-1	-4.602	2.602	1
86-72	-0.111	-3.507	3.285	1
87-72	-1.143	-4.587	2.301	1
88-72	-0.571	-4.016	2.873	1
90-72	-0.6	-3.979	2.779	1
91-72	-0.8	-4.329	2.729	1
92-72	-0.167	-3.647	3.313	1
94-72	-0.875	-4.292	2.542	1
95-72	-0.727	-4.092	2.638	1
96-72	-0.4	-3.929	3.129	1
97-72	-0.5	-3.853	2.853	1
98-72	-0.6	-4.129	2.929	1
75-73	-1.4	-4.929	2.129	1
77-73	-0.75	-4.352	2.852	1
78-73	-1.333	-5.053	2.387	1
79-73	-1	-4.72	2.72	1
80-73	-1.333	-5.053	2.387	1
81-73	0	-4.556	4.556	1
82-73	-2	-6.556	2.556	0.999
84-73	-2	-5.946	1.946	0.988
85-73	-1	-4.602	2.602	1
86-73	-0.111	-3.507	3.285	1
87-73	-1.143	-4.587	2.301	1
88-73	-0.571	-4.016	2.873	1
90-73	-0.6	-3.979	2.779	1
91-73	-0.8	-4.329	2.729	1
92-73	-0.167	-3.647	3.313	1
94-73	-0.875	-4.292	2.542	1
95-73	-0.727	-4.092	2.638	1
96-73	-0.4	-3.929	3.129	1
97-73	-0.5	-3.853	2.853	1
98-73	-0.6	-4.129	2.929	1
77-75	0.65	-1.511	2.811	1
78-75	0.067	-2.286	2.419	1
79-75	0.4	-1.953	2.753	1
80-75	0.067	-2.286	2.419	1
81-75	1.4	-2.129	4.929	1
82-75	-0.6	-4.129	2.929	1
84-75	-0.6	-3.295	2.095	1
85-75	0.4	-1.761	2.561	1
86-75	1.289	-0.508	3.086	0.616
87-75	0.257	-1.629	2.144	1
88-75	0.829	-1.058	2.715	0.999
90-75	0.8	-0.965	2.565	0.998
91-75	0.6	-1.438	2.638	1
92-75	1.233	-0.718	3.184	0.847
94-75	0.525	-1.312	2.362	1
95-75	0.673	-1.065	2.41	1
96-75	1	-1.038	3.038	0.993
97-75	0.9	-0.815	2.615	0.981
98-75	0.8	-1.238	2.838	1
78-77	-0.583	-3.044	1.877	1
79-77	-0.25	-2.711	2.211	1
80-77	-0.583	-3.044	1.877	1
81-77	0.75	-2.852	4.352	1
82-77	-1.25	-4.852	2.352	1
84-77	-1.25	-4.04	1.54	0.998
85-77	-0.25	-2.528	2.028	1
86-77	0.639	-1.297	2.575	1
87-77	-0.393	-2.412	1.626	1
88-77	0.179	-1.841	2.198	1
90-77	0.15	-1.756	2.056	1
91-77	-0.05	-2.211	2.111	1
92-77	0.583	-1.496	2.663	1
94-77	-0.125	-2.098	1.848	1
95-77	0.023	-1.858	1.904	1
96-77	0.35	-1.811	2.511	1
97-77	0.25	-1.61	2.11	1
98-77	0.15	-2.011	2.311	1
79-78	0.333	-2.297	2.964	1
80-78	0	-2.631	2.631	1
81-78	1.333	-2.387	5.053	1
82-78	-0.667	-4.387	3.053	1
84-78	-0.667	-3.608	2.274	1
85-78	0.333	-2.127	2.794	1
86-78	1.222	-0.926	3.37	0.948
87-78	0.19	-2.033	2.414	1
88-78	0.762	-1.461	2.985	1
90-78	0.733	-1.387	2.854	1
91-78	0.533	-1.819	2.886	1
92-78	1.167	-1.111	3.445	0.987
94-78	0.458	-1.723	2.639	1
95-78	0.606	-1.492	2.704	1
96-78	0.933	-1.419	3.286	1
97-78	0.833	-1.246	2.913	1
98-78	0.733	-1.619	3.086	1
80-79	-0.333	-2.964	2.297	1
81-79	1	-2.72	4.72	1
82-79	-1	-4.72	2.72	1
84-79	-1	-3.941	1.941	1
85-79	0	-2.461	2.461	1
86-79	0.889	-1.259	3.037	1
87-79	-0.143	-2.366	2.08	1
88-79	0.429	-1.795	2.652	1
90-79	0.4	-1.721	2.521	1
91-79	0.2	-2.153	2.553	1
92-79	0.833	-1.445	3.111	1
94-79	0.125	-2.056	2.306	1
95-79	0.273	-1.826	2.371	1
96-79	0.6	-1.753	2.953	1
97-79	0.5	-1.58	2.58	1
98-79	0.4	-1.953	2.753	1
81-80	1.333	-2.387	5.053	1
82-80	-0.667	-4.387	3.053	1
84-80	-0.667	-3.608	2.274	1
85-80	0.333	-2.127	2.794	1
86-80	1.222	-0.926	3.37	0.948
87-80	0.19	-2.033	2.414	1
88-80	0.762	-1.461	2.985	1
90-80	0.733	-1.387	2.854	1
91-80	0.533	-1.819	2.886	1
92-80	1.167	-1.111	3.445	0.987
94-80	0.458	-1.723	2.639	1
95-80	0.606	-1.492	2.704	1
96-80	0.933	-1.419	3.286	1
97-80	0.833	-1.246	2.913	1
98-80	0.733	-1.619	3.086	1
82-81	-2	-6.556	2.556	0.999
84-81	-2	-5.946	1.946	0.988
85-81	-1	-4.602	2.602	1
86-81	-0.111	-3.507	3.285	1
87-81	-1.143	-4.587	2.301	1
88-81	-0.571	-4.016	2.873	1
90-81	-0.6	-3.979	2.779	1
91-81	-0.8	-4.329	2.729	1
92-81	-0.167	-3.647	3.313	1
94-81	-0.875	-4.292	2.542	1
95-81	-0.727	-4.092	2.638	1
96-81	-0.4	-3.929	3.129	1
97-81	-0.5	-3.853	2.853	1
98-81	-0.6	-4.129	2.929	1
84-82	0	-3.946	3.946	1
85-82	1	-2.602	4.602	1
86-82	1.889	-1.507	5.285	0.96
87-82	0.857	-2.587	4.301	1
88-82	1.429	-2.016	4.873	1
90-82	1.4	-1.979	4.779	1
91-82	1.2	-2.329	4.729	1
92-82	1.833	-1.647	5.313	0.98
94-82	1.125	-2.292	4.542	1
95-82	1.273	-2.092	4.638	1
96-82	1.6	-1.929	5.129	0.998
97-82	1.5	-1.853	4.853	0.998
98-82	1.4	-2.129	4.929	1
85-84	1	-1.79	3.79	1
86-84	1.889	-0.63	4.407	0.515
87-84	0.857	-1.726	3.44	1
88-84	1.429	-1.155	4.012	0.963
90-84	1.4	-1.096	3.896	0.956
91-84	1.2	-1.495	3.895	0.999
92-84	1.833	-0.797	4.464	0.678
94-84	1.125	-1.422	3.672	0.999
95-84	1.273	-1.204	3.749	0.986
96-84	1.6	-1.095	4.295	0.917
97-84	1.5	-0.961	3.961	0.891
98-84	1.4	-1.295	4.095	0.984
86-85	0.889	-1.047	2.825	0.998
87-85	-0.143	-2.162	1.876	1
88-85	0.429	-1.591	2.448	1
90-85	0.4	-1.506	2.306	1
91-85	0.2	-1.961	2.361	1
92-85	0.833	-1.246	2.913	1
94-85	0.125	-1.848	2.098	1
95-85	0.273	-1.608	2.154	1
96-85	0.6	-1.561	2.761	1
97-85	0.5	-1.36	2.36	1
98-85	0.4	-1.761	2.561	1
87-86	-1.032	-2.655	0.592	0.84
88-86	-0.46	-2.084	1.163	1
90-86	-0.489	-1.969	0.991	1
91-86	-0.689	-2.486	1.108	1
92-86	-0.056	-1.754	1.642	1
94-86	-0.764	-2.329	0.802	0.993
95-86	-0.616	-2.064	0.832	0.999
96-86	-0.289	-2.086	1.508	1
97-86	-0.389	-1.81	1.032	1
98-86	-0.489	-2.286	1.308	1
88-87	0.571	-1.151	2.294	1
90-87	0.543	-1.045	2.131	1
91-87	0.343	-1.544	2.229	1
92-87	0.976	-0.816	2.769	0.969
94-87	0.268	-1.4	1.935	1
95-87	0.416	-1.142	1.973	1
96-87	0.743	-1.144	2.629	1
97-87	0.643	-0.889	2.175	1
98-87	0.543	-1.344	2.429	1
90-88	-0.029	-1.616	1.559	1
91-88	-0.229	-2.115	1.658	1
92-88	0.405	-1.388	2.197	1
94-88	-0.304	-1.971	1.364	1
95-88	-0.156	-1.714	1.402	1
96-88	0.171	-1.715	2.058	1
97-88	0.071	-1.461	1.604	1
98-88	-0.029	-1.915	1.858	1
91-90	-0.2	-1.965	1.565	1
92-90	0.433	-1.23	2.097	1
94-90	-0.275	-1.803	1.253	1
95-90	-0.127	-1.535	1.28	1
96-90	0.2	-1.565	1.965	1
97-90	0.1	-1.279	1.479	1
98-90	0	-1.765	1.765	1
92-91	0.633	-1.318	2.584	1
94-91	-0.075	-1.912	1.762	1
95-91	0.073	-1.665	1.81	1
96-91	0.4	-1.638	2.438	1
97-91	0.3	-1.415	2.015	1
98-91	0.2	-1.838	2.238	1
94-92	-0.708	-2.448	1.032	1
95-92	-0.561	-2.196	1.074	1
96-92	-0.233	-2.184	1.718	1
97-92	-0.333	-1.944	1.278	1
98-92	-0.433	-2.384	1.518	1
95-94	0.148	-1.349	1.645	1
96-94	0.475	-1.362	2.312	1
97-94	0.375	-1.096	1.846	1
98-94	0.275	-1.562	2.112	1
96-95	0.327	-1.41	2.065	1
97-95	0.227	-1.118	1.572	1
98-95	0.127	-1.61	1.865	1
97-96	-0.1	-1.815	1.615	1
98-96	-0.2	-2.238	1.838	1
98-97	-0.1	-1.815	1.615	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	35	0.894	0.639
	117

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr/3nrwi1291065876.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr/3nrwi1291065876.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr/4nrwi1291065876.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1291065820kv7gmamaix617pr/4nrwi1291065876.ps (open in new window)

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = TRUE ;

Parameters (R input):

par1 = 1 ; par2 = 2 ; par3 = TRUE ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #

cat2<- as.numeric(par2) #

intercept<-as.logical(par3)

x <- t(x)

x1<-as.numeric(x[,cat1])

f1<-as.character(x[,cat2])

xdf<-data.frame(x1,f1)

(V1<-dimnames(y)[[1]][cat1])

(V2<-dimnames(y)[[1]][cat2])

names(xdf)<-c('Response', 'Treatment')

if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )

(aov.xdf<-aov(lmxdf) )

(anova.xdf<-anova(lmxdf) )

load(file='createtable')

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, 'means',,TRUE)

for(i in 1:length(lmxdf$coefficients)){

a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)

}

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable.tab')

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, ' ',,TRUE)

a<-table.element(a, 'Df',,FALSE)

a<-table.element(a, 'Sum Sq',,FALSE)

a<-table.element(a, 'Mean Sq',,FALSE)

a<-table.element(a, 'F value',,FALSE)

a<-table.element(a, 'Pr(>F)',,FALSE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, V2,,TRUE)

a<-table.element(a, anova.xdf$Df[1],,FALSE)

a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)

a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)

a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)

a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, 'Residuals',,TRUE)

a<-table.element(a, anova.xdf$Df[2],,FALSE)

a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)

a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)

a<-table.element(a, ' ',,FALSE)

a<-table.element(a, ' ',,FALSE)

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable1.tab')

bitmap(file='anovaplot.png')

boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)

dev.off()

if(intercept==TRUE){

thsd<-TukeyHSD(aov.xdf)

bitmap(file='TukeyHSDPlot.png')

plot(thsd)

dev.off()

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a, ' ', 1, TRUE)

for(i in 1:4){

a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)

}

a<-table.row.end(a)

for(i in 1:length(rownames(thsd[[1]]))){

a<-table.row.start(a)

a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)

for(j in 1:4){

a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)

}

a<-table.row.end(a)

}

a<-table.end(a)

table.save(a,file='mytable2.tab')

}

if(intercept==FALSE){

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'TukeyHSD Message', 1,TRUE)

a<-table.row.end(a)

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable2.tab')

}

library(car)

lt.lmxdf<-levene.test(lmxdf)

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,' ', 1, TRUE)

for (i in 1:3){

a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)

}

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'Group', 1, TRUE)

for (i in 1:3){

a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)

}

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,' ', 1, TRUE)

a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)

a<-table.element(a,' ', 1, FALSE)

a<-table.element(a,' ', 1, FALSE)

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable3.tab')

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Software written by Ed van Stee & Patrick Wessa

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