Home » date » 2009 » Dec » 14 »

compendium 9, Q2 (30 months)

*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 15:12:44 -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/14/t12608288194ww2qlfgn952q29.htm/, Retrieved Mon, 14 Dec 2009 23:13:42 +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/14/t12608288194ww2qlfgn952q29.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

1 36 2 36 2 56 3 48 1 32 1 44 2 39 2 34 1 41 3 50 1 39 3 62 2 52 1 37 2 50 2 41 2 55 1 41 3 56 2 39 1 52 1 46 1 44 1 48 2 41 3 50 2 50 2 44 2 52 2 54 2 44 3 52 2 37 2 52 2 50 1 36 2 50 2 52 3 55 1 31 2 36 1 49 2 42 3 37 2 41 2 30 2 52 1 30 1 41 2 44 2 66 1 48 3 43 1 57 1 46 1 54 2 48 2 48 2 52 1 62 1 58 2 58 2 62 2 48 2 46 2 34 3 66 2 52 1 55 1 55 2 57 2 56 2 55 3 56 2 54 2 55 3 46 1 52 2 32 1 44 2 46 2 59 2 46 2 46 3 54 3 66 2 56 2 59 2 57 2 52 2 48 2 44 1 41 1 50 1 48 3 48 2 59 2 34 2 46 2 54 1 55 2 54 2 59 2 44 1 54 2 52 3 66 2 44 1 57 1 39 1 60 1 45 2 41 2 50 3 39 2 43 2 48 2 37 3 58 1 46 3 43 1 44 2 34 2 30 2 50 1 39 2 37 1 55 3 48 3 41 2 39 2 36 1 43 3 50 2 55 1 43 1 60 1 48 1 30 2 43 3 39 2 52 2 39 1 39 2 56 1 59 1 46 2 57 2 50 2 54 2 50 3 60 3 59 3 41 2 48 2 59 2 60 1 56 2 56 1 51

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	5 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
RespVar ~ AgeGroup
means	1.5	-0.5	0	0.5	0.1	0.5	0.3	0.3	0.5	0.5	0.1	-0.5	0.2	0.423	-0.5	0.667	-0.5	0.423	0.375	0.167	0.625	0.1	0.5	0.5	0.25	0.5	1.25

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
AgeGroup	26	11.331	0.436	0.96	0.526
Residuals	133	60.363	0.454

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
31-30	-0.5	-3.345	2.345	1
32-30	0	-2.204	2.204	1
34-30	0.5	-1.3	2.3	1
36-30	0.1	-1.607	1.807	1
37-30	0.5	-1.207	2.207	1
39-30	0.3	-1.206	1.806	1
41-30	0.3	-1.206	1.806	1
42-30	0.5	-2.345	3.345	1
43-30	0.5	-1.143	2.143	1
44-30	0.1	-1.406	1.606	1
45-30	-0.5	-3.345	2.345	1
46-30	0.2	-1.306	1.706	1
48-30	0.423	-1.032	1.878	1
49-30	-0.5	-3.345	2.345	1
50-30	0.667	-0.803	2.136	0.994
51-30	-0.5	-3.345	2.345	1
52-30	0.423	-1.032	1.878	1
54-30	0.375	-1.184	1.934	1
55-30	0.167	-1.363	1.696	1
56-30	0.625	-0.934	2.184	0.999
57-30	0.1	-1.607	1.807	1
58-30	0.5	-1.444	2.444	1
59-30	0.5	-1.095	2.095	1
60-30	0.25	-1.55	2.05	1
62-30	0.5	-1.444	2.444	1
66-30	1.25	-0.55	3.05	0.637
32-31	0.5	-2.617	3.617	1
34-31	1	-1.845	3.845	1
36-31	0.6	-2.188	3.388	1
37-31	1	-1.788	3.788	1
39-31	0.8	-1.869	3.469	1
41-31	0.8	-1.869	3.469	1
42-31	1	-2.599	4.599	1
43-31	1	-1.749	3.749	1
44-31	0.6	-2.069	3.269	1
45-31	0	-3.599	3.599	1
46-31	0.7	-1.969	3.369	1
48-31	0.923	-1.718	3.564	1
49-31	0	-3.599	3.599	1
50-31	1.167	-1.482	3.816	0.996
51-31	0	-3.599	3.599	1
52-31	0.923	-1.718	3.564	1
54-31	0.875	-1.824	3.574	1
55-31	0.667	-2.016	3.349	1
56-31	1.125	-1.574	3.824	0.998
57-31	0.6	-2.188	3.388	1
58-31	1	-1.939	3.939	1
59-31	1	-1.721	3.721	1
60-31	0.75	-2.095	3.595	1
62-31	1	-1.939	3.939	1
66-31	1.75	-1.095	4.595	0.839
34-32	0.5	-1.704	2.704	1
36-32	0.1	-2.029	2.229	1
37-32	0.5	-1.629	2.629	1
39-32	0.3	-1.671	2.271	1
41-32	0.3	-1.671	2.271	1
42-32	0.5	-2.617	3.617	1
43-32	0.5	-1.578	2.578	1
44-32	0.1	-1.871	2.071	1
45-32	-0.5	-3.617	2.617	1
46-32	0.2	-1.771	2.171	1
48-32	0.423	-1.51	2.356	1
49-32	-0.5	-3.617	2.617	1
50-32	0.667	-1.277	2.61	1
51-32	-0.5	-3.617	2.617	1
52-32	0.423	-1.51	2.356	1
54-32	0.375	-1.637	2.387	1
55-32	0.167	-1.823	2.156	1
56-32	0.625	-1.387	2.637	1
57-32	0.1	-2.029	2.229	1
58-32	0.5	-1.823	2.823	1
59-32	0.5	-1.541	2.541	1
60-32	0.25	-1.954	2.454	1
62-32	0.5	-1.823	2.823	1
66-32	1.25	-0.954	3.454	0.921
36-34	-0.4	-2.107	1.307	1
37-34	0	-1.707	1.707	1
39-34	-0.2	-1.706	1.306	1
41-34	-0.2	-1.706	1.306	1
42-34	0	-2.845	2.845	1
43-34	0	-1.643	1.643	1
44-34	-0.4	-1.906	1.106	1
45-34	-1	-3.845	1.845	1
46-34	-0.3	-1.806	1.206	1
48-34	-0.077	-1.532	1.378	1
49-34	-1	-3.845	1.845	1
50-34	0.167	-1.303	1.636	1
51-34	-1	-3.845	1.845	1
52-34	-0.077	-1.532	1.378	1
54-34	-0.125	-1.684	1.434	1
55-34	-0.333	-1.863	1.196	1
56-34	0.125	-1.434	1.684	1
57-34	-0.4	-2.107	1.307	1
58-34	0	-1.944	1.944	1
59-34	0	-1.595	1.595	1
60-34	-0.25	-2.05	1.55	1
62-34	0	-1.944	1.944	1
66-34	0.75	-1.05	2.55	0.998
37-36	0.4	-1.21	2.01	1
39-36	0.2	-1.194	1.594	1
41-36	0.2	-1.194	1.594	1
42-36	0.4	-2.388	3.188	1
43-36	0.4	-1.141	1.941	1
44-36	0	-1.394	1.394	1
45-36	-0.6	-3.388	2.188	1
46-36	0.1	-1.294	1.494	1
48-36	0.323	-1.016	1.662	1
49-36	-0.6	-3.388	2.188	1
50-36	0.567	-0.788	1.921	0.998
51-36	-0.6	-3.388	2.188	1
52-36	0.323	-1.016	1.662	1
54-36	0.275	-1.176	1.726	1
55-36	0.067	-1.353	1.486	1
56-36	0.525	-0.926	1.976	1
57-36	0	-1.61	1.61	1
58-36	0.4	-1.459	2.259	1
59-36	0.4	-1.09	1.89	1
60-36	0.15	-1.557	1.857	1
62-36	0.4	-1.459	2.259	1
66-36	1.15	-0.557	2.857	0.696
39-37	-0.2	-1.594	1.194	1
41-37	-0.2	-1.594	1.194	1
42-37	0	-2.788	2.788	1
43-37	0	-1.541	1.541	1
44-37	-0.4	-1.794	0.994	1
45-37	-1	-3.788	1.788	1
46-37	-0.3	-1.694	1.094	1
48-37	-0.077	-1.416	1.262	1
49-37	-1	-3.788	1.788	1
50-37	0.167	-1.188	1.521	1
51-37	-1	-3.788	1.788	1
52-37	-0.077	-1.416	1.262	1
54-37	-0.125	-1.576	1.326	1
55-37	-0.333	-1.753	1.086	1
56-37	0.125	-1.326	1.576	1
57-37	-0.4	-2.01	1.21	1
58-37	0	-1.859	1.859	1
59-37	0	-1.49	1.49	1
60-37	-0.25	-1.957	1.457	1
62-37	0	-1.859	1.859	1
66-37	0.75	-0.957	2.457	0.996
41-39	0	-1.138	1.138	1
42-39	0.2	-2.469	2.869	1
43-39	0.2	-1.114	1.514	1
44-39	-0.2	-1.338	0.938	1
45-39	-0.8	-3.469	1.869	1
46-39	-0.1	-1.238	1.038	1
48-39	0.123	-0.947	1.194	1
49-39	-0.8	-3.469	1.869	1
50-39	0.367	-0.723	1.456	1
51-39	-0.8	-3.469	1.869	1
52-39	0.123	-0.947	1.194	1
54-39	0.075	-1.132	1.282	1
55-39	-0.133	-1.303	1.036	1
56-39	0.325	-0.882	1.532	1
57-39	-0.2	-1.594	1.194	1
58-39	0.2	-1.475	1.875	1
59-39	0.2	-1.054	1.454	1
60-39	-0.05	-1.556	1.456	1
62-39	0.2	-1.475	1.875	1
66-39	0.95	-0.556	2.456	0.804
42-41	0.2	-2.469	2.869	1
43-41	0.2	-1.114	1.514	1
44-41	-0.2	-1.338	0.938	1
45-41	-0.8	-3.469	1.869	1
46-41	-0.1	-1.238	1.038	1
48-41	0.123	-0.947	1.194	1
49-41	-0.8	-3.469	1.869	1
50-41	0.367	-0.723	1.456	1
51-41	-0.8	-3.469	1.869	1
52-41	0.123	-0.947	1.194	1
54-41	0.075	-1.132	1.282	1
55-41	-0.133	-1.303	1.036	1
56-41	0.325	-0.882	1.532	1
57-41	-0.2	-1.594	1.194	1
58-41	0.2	-1.475	1.875	1
59-41	0.2	-1.054	1.454	1
60-41	-0.05	-1.556	1.456	1
62-41	0.2	-1.475	1.875	1
66-41	0.95	-0.556	2.456	0.804
43-42	0	-2.749	2.749	1
44-42	-0.4	-3.069	2.269	1
45-42	-1	-4.599	2.599	1
46-42	-0.3	-2.969	2.369	1
48-42	-0.077	-2.718	2.564	1
49-42	-1	-4.599	2.599	1
50-42	0.167	-2.482	2.816	1
51-42	-1	-4.599	2.599	1
52-42	-0.077	-2.718	2.564	1
54-42	-0.125	-2.824	2.574	1
55-42	-0.333	-3.016	2.349	1
56-42	0.125	-2.574	2.824	1
57-42	-0.4	-3.188	2.388	1
58-42	0	-2.939	2.939	1
59-42	0	-2.721	2.721	1
60-42	-0.25	-3.095	2.595	1
62-42	0	-2.939	2.939	1
66-42	0.75	-2.095	3.595	1
44-43	-0.4	-1.714	0.914	1
45-43	-1	-3.749	1.749	1
46-43	-0.3	-1.614	1.014	1
48-43	-0.077	-1.333	1.179	1
49-43	-1	-3.749	1.749	1
50-43	0.167	-1.106	1.439	1
51-43	-1	-3.749	1.749	1
52-43	-0.077	-1.333	1.179	1
54-43	-0.125	-1.499	1.249	1
55-43	-0.333	-1.675	1.008	1
56-43	0.125	-1.249	1.499	1
57-43	-0.4	-1.941	1.141	1
58-43	0	-1.8	1.8	1
59-43	0	-1.416	1.416	1
60-43	-0.25	-1.893	1.393	1
62-43	0	-1.8	1.8	1
66-43	0.75	-0.893	2.393	0.994
45-44	-0.6	-3.269	2.069	1
46-44	0.1	-1.038	1.238	1
48-44	0.323	-0.747	1.394	1
49-44	-0.6	-3.269	2.069	1
50-44	0.567	-0.523	1.656	0.968
51-44	-0.6	-3.269	2.069	1
52-44	0.323	-0.747	1.394	1
54-44	0.275	-0.932	1.482	1
55-44	0.067	-1.103	1.236	1
56-44	0.525	-0.682	1.732	0.997
57-44	0	-1.394	1.394	1
58-44	0.4	-1.275	2.075	1
59-44	0.4	-0.854	1.654	1
60-44	0.15	-1.356	1.656	1
62-44	0.4	-1.275	2.075	1
66-44	1.15	-0.356	2.656	0.436
46-45	0.7	-1.969	3.369	1
48-45	0.923	-1.718	3.564	1
49-45	0	-3.599	3.599	1
50-45	1.167	-1.482	3.816	0.996
51-45	0	-3.599	3.599	1
52-45	0.923	-1.718	3.564	1
54-45	0.875	-1.824	3.574	1
55-45	0.667	-2.016	3.349	1
56-45	1.125	-1.574	3.824	0.998
57-45	0.6	-2.188	3.388	1
58-45	1	-1.939	3.939	1
59-45	1	-1.721	3.721	1
60-45	0.75	-2.095	3.595	1
62-45	1	-1.939	3.939	1
66-45	1.75	-1.095	4.595	0.839
48-46	0.223	-0.847	1.294	1
49-46	-0.7	-3.369	1.969	1
50-46	0.467	-0.623	1.556	0.997
51-46	-0.7	-3.369	1.969	1
52-46	0.223	-0.847	1.294	1
54-46	0.175	-1.032	1.382	1
55-46	-0.033	-1.203	1.136	1
56-46	0.425	-0.782	1.632	1
57-46	-0.1	-1.494	1.294	1
58-46	0.3	-1.375	1.975	1
59-46	0.3	-0.954	1.554	1
60-46	0.05	-1.456	1.556	1
62-46	0.3	-1.375	1.975	1
66-46	1.05	-0.456	2.556	0.629
49-48	-0.923	-3.564	1.718	1
50-48	0.244	-0.775	1.262	1
51-48	-0.923	-3.564	1.718	1
52-48	0	-0.998	0.998	1
54-48	-0.048	-1.192	1.096	1
55-48	-0.256	-1.36	0.847	1
56-48	0.202	-0.942	1.346	1
57-48	-0.323	-1.662	1.016	1
58-48	0.077	-1.553	1.707	1
59-48	0.077	-1.116	1.27	1
60-48	-0.173	-1.628	1.282	1
62-48	0.077	-1.553	1.707	1
66-48	0.827	-0.628	2.282	0.919
50-49	1.167	-1.482	3.816	0.996
51-49	0	-3.599	3.599	1
52-49	0.923	-1.718	3.564	1
54-49	0.875	-1.824	3.574	1
55-49	0.667	-2.016	3.349	1
56-49	1.125	-1.574	3.824	0.998
57-49	0.6	-2.188	3.388	1
58-49	1	-1.939	3.939	1
59-49	1	-1.721	3.721	1
60-49	0.75	-2.095	3.595	1
62-49	1	-1.939	3.939	1
66-49	1.75	-1.095	4.595	0.839
51-50	-1.167	-3.816	1.482	0.996
52-50	-0.244	-1.262	0.775	1
54-50	-0.292	-1.453	0.87	1
55-50	-0.5	-1.622	0.622	0.996
56-50	-0.042	-1.203	1.12	1
57-50	-0.567	-1.921	0.788	0.998
58-50	-0.167	-1.809	1.476	1
59-50	-0.167	-1.377	1.044	1
60-50	-0.417	-1.886	1.053	1
62-50	-0.167	-1.809	1.476	1
66-50	0.583	-0.886	2.053	0.999
52-51	0.923	-1.718	3.564	1
54-51	0.875	-1.824	3.574	1
55-51	0.667	-2.016	3.349	1
56-51	1.125	-1.574	3.824	0.998
57-51	0.6	-2.188	3.388	1
58-51	1	-1.939	3.939	1
59-51	1	-1.721	3.721	1
60-51	0.75	-2.095	3.595	1
62-51	1	-1.939	3.939	1
66-51	1.75	-1.095	4.595	0.839
54-52	-0.048	-1.192	1.096	1
55-52	-0.256	-1.36	0.847	1
56-52	0.202	-0.942	1.346	1
57-52	-0.323	-1.662	1.016	1
58-52	0.077	-1.553	1.707	1
59-52	0.077	-1.116	1.27	1
60-52	-0.173	-1.628	1.282	1
62-52	0.077	-1.553	1.707	1
66-52	0.827	-0.628	2.282	0.919
55-54	-0.208	-1.445	1.028	1
56-54	0.25	-1.023	1.523	1
57-54	-0.275	-1.726	1.176	1
58-54	0.125	-1.598	1.848	1
59-54	0.125	-1.192	1.442	1
60-54	-0.125	-1.684	1.434	1
62-54	0.125	-1.598	1.848	1
66-54	0.875	-0.684	2.434	0.928
56-55	0.458	-0.778	1.695	1
57-55	-0.067	-1.486	1.353	1
58-55	0.333	-1.363	2.03	1
59-55	0.333	-0.949	1.616	1
60-55	0.083	-1.446	1.613	1
62-55	0.333	-1.363	2.03	1
66-55	1.083	-0.446	2.613	0.597
57-56	-0.525	-1.976	0.926	1
58-56	-0.125	-1.848	1.598	1
59-56	-0.125	-1.442	1.192	1
60-56	-0.375	-1.934	1.184	1
62-56	-0.125	-1.848	1.598	1
66-56	0.625	-0.934	2.184	0.999
58-57	0.4	-1.459	2.259	1
59-57	0.4	-1.09	1.89	1
60-57	0.15	-1.557	1.857	1
62-57	0.4	-1.459	2.259	1
66-57	1.15	-0.557	2.857	0.696
59-58	0	-1.756	1.756	1
60-58	-0.25	-2.194	1.694	1
62-58	0	-2.078	2.078	1
66-58	0.75	-1.194	2.694	1
60-59	-0.25	-1.845	1.345	1
62-59	0	-1.756	1.756	1
66-59	0.75	-0.845	2.345	0.991
62-60	0.25	-1.694	2.194	1
66-60	1	-0.8	2.8	0.935
66-62	0.75	-1.194	2.694	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	26	0.722	0.832
	133

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/14/t12608288194ww2qlfgn952q29/3yt8b1260828759.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/14/t12608288194ww2qlfgn952q29/3yt8b1260828759.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/14/t12608288194ww2qlfgn952q29/4gyn41260828759.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/14/t12608288194ww2qlfgn952q29/4gyn41260828759.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

Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

We may request personal information to be submitted to our servers in order to be able to:

personalize online software applications according to your needs
enforce strict security rules with respect to the data that you upload (e.g. statistical data)
manage user sessions of online applications
alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

FreeStatistics.org is powered by