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com week 8

*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: Sun, 28 Nov 2010 23:04:55 +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/t1290985556xol5pik8ejn4wwq.htm/, Retrieved Mon, 29 Nov 2010 00:05:59 +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/t1290985556xol5pik8ejn4wwq.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 36 2 36 2 56 3 48 2 32 1 44 2 39 2 34 1 41 3 50 2 39 3 62 2 52 1 37 2 50 2 41 2 55 2 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 3 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 3 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 1 50 1 54 1 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	6 seconds
R Server	'George Udny Yule' @ 72.249.76.132

ANOVA Model
MC30VRB ~ MOMAGE
means	1.5	-0.5	0.5	0.5	0.1	0.5	0.4	0.4	0.5	0.5	0.1	-0.5	0.2	0.423	-0.5	0.5	-0.5	0.5	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)
MOMAGE	26	10.371	0.399	0.831	0.702
Residuals	133	63.873	0.48

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
31-30	-0.5	-3.427	2.427	1
32-30	0.5	-1.767	2.767	1
34-30	0.5	-1.351	2.351	1
36-30	0.1	-1.656	1.856	1
37-30	0.5	-1.256	2.256	1
39-30	0.4	-1.149	1.949	1
41-30	0.4	-1.149	1.949	1
42-30	0.5	-2.427	3.427	1
43-30	0.5	-1.19	2.19	1
44-30	0.1	-1.449	1.649	1
45-30	-0.5	-3.427	2.427	1
46-30	0.2	-1.349	1.749	1
48-30	0.423	-1.074	1.92	1
49-30	-0.5	-3.427	2.427	1
50-30	0.5	-1.011	2.011	1
51-30	-0.5	-3.427	2.427	1
52-30	0.5	-0.997	1.997	1
54-30	0.375	-1.228	1.978	1
55-30	0.167	-1.407	1.74	1
56-30	0.625	-0.978	2.228	0.999
57-30	0.1	-1.656	1.856	1
58-30	0.5	-1.5	2.5	1
59-30	0.5	-1.141	2.141	1
60-30	0.25	-1.601	2.101	1
62-30	0.5	-1.5	2.5	1
66-30	1.25	-0.601	3.101	0.691
32-31	1	-2.206	4.206	1
34-31	1	-1.927	3.927	1
36-31	0.6	-2.268	3.468	1
37-31	1	-1.868	3.868	1
39-31	0.9	-1.846	3.646	1
41-31	0.9	-1.846	3.646	1
42-31	1	-2.702	4.702	1
43-31	1	-1.828	3.828	1
44-31	0.6	-2.146	3.346	1
45-31	0	-3.702	3.702	1
46-31	0.7	-2.046	3.446	1
48-31	0.923	-1.794	3.64	1
49-31	0	-3.702	3.702	1
50-31	1	-1.725	3.725	1
51-31	0	-3.702	3.702	1
52-31	1	-1.717	3.717	1
54-31	0.875	-1.902	3.652	1
55-31	0.667	-2.093	3.426	1
56-31	1.125	-1.652	3.902	0.999
57-31	0.6	-2.268	3.468	1
58-31	1	-2.023	4.023	1
59-31	1	-1.799	3.799	1
60-31	0.75	-2.177	3.677	1
62-31	1	-2.023	4.023	1
66-31	1.75	-1.177	4.677	0.872
34-32	0	-2.267	2.267	1
36-32	-0.4	-2.59	1.79	1
37-32	0	-2.19	2.19	1
39-32	-0.1	-2.128	1.928	1
41-32	-0.1	-2.128	1.928	1
42-32	0	-3.206	3.206	1
43-32	0	-2.138	2.138	1
44-32	-0.4	-2.428	1.628	1
45-32	-1	-4.206	2.206	1
46-32	-0.3	-2.328	1.728	1
48-32	-0.077	-2.065	1.912	1
49-32	-1	-4.206	2.206	1
50-32	0	-2	2	1
51-32	-1	-4.206	2.206	1
52-32	0	-1.989	1.989	1
54-32	-0.125	-2.195	1.945	1
55-32	-0.333	-2.38	1.713	1
56-32	0.125	-1.945	2.195	1
57-32	-0.4	-2.59	1.79	1
58-32	0	-2.39	2.39	1
59-32	0	-2.099	2.099	1
60-32	-0.25	-2.517	2.017	1
62-32	0	-2.39	2.39	1
66-32	0.75	-1.517	3.017	1
36-34	-0.4	-2.156	1.356	1
37-34	0	-1.756	1.756	1
39-34	-0.1	-1.649	1.449	1
41-34	-0.1	-1.649	1.449	1
42-34	0	-2.927	2.927	1
43-34	0	-1.69	1.69	1
44-34	-0.4	-1.949	1.149	1
45-34	-1	-3.927	1.927	1
46-34	-0.3	-1.849	1.249	1
48-34	-0.077	-1.574	1.42	1
49-34	-1	-3.927	1.927	1
50-34	0	-1.511	1.511	1
51-34	-1	-3.927	1.927	1
52-34	0	-1.497	1.497	1
54-34	-0.125	-1.728	1.478	1
55-34	-0.333	-1.907	1.24	1
56-34	0.125	-1.478	1.728	1
57-34	-0.4	-2.156	1.356	1
58-34	0	-2	2	1
59-34	0	-1.641	1.641	1
60-34	-0.25	-2.101	1.601	1
62-34	0	-2	2	1
66-34	0.75	-1.101	2.601	0.999
37-36	0.4	-1.256	2.056	1
39-36	0.3	-1.134	1.734	1
41-36	0.3	-1.134	1.734	1
42-36	0.4	-2.468	3.268	1
43-36	0.4	-1.185	1.985	1
44-36	0	-1.434	1.434	1
45-36	-0.6	-3.468	2.268	1
46-36	0.1	-1.334	1.534	1
48-36	0.323	-1.055	1.701	1
49-36	-0.6	-3.468	2.268	1
50-36	0.4	-0.994	1.794	1
51-36	-0.6	-3.468	2.268	1
52-36	0.4	-0.978	1.778	1
54-36	0.275	-1.217	1.767	1
55-36	0.067	-1.394	1.527	1
56-36	0.525	-0.967	2.017	1
57-36	0	-1.656	1.656	1
58-36	0.4	-1.512	2.312	1
59-36	0.4	-1.133	1.933	1
60-36	0.15	-1.606	1.906	1
62-36	0.4	-1.512	2.312	1
66-36	1.15	-0.606	2.906	0.746
39-37	-0.1	-1.534	1.334	1
41-37	-0.1	-1.534	1.334	1
42-37	0	-2.868	2.868	1
43-37	0	-1.585	1.585	1
44-37	-0.4	-1.834	1.034	1
45-37	-1	-3.868	1.868	1
46-37	-0.3	-1.734	1.134	1
48-37	-0.077	-1.455	1.301	1
49-37	-1	-3.868	1.868	1
50-37	0	-1.394	1.394	1
51-37	-1	-3.868	1.868	1
52-37	0	-1.378	1.378	1
54-37	-0.125	-1.617	1.367	1
55-37	-0.333	-1.794	1.127	1
56-37	0.125	-1.367	1.617	1
57-37	-0.4	-2.056	1.256	1
58-37	0	-1.912	1.912	1
59-37	0	-1.533	1.533	1
60-37	-0.25	-2.006	1.506	1
62-37	0	-1.912	1.912	1
66-37	0.75	-1.006	2.506	0.998
41-39	0	-1.171	1.171	1
42-39	0.1	-2.646	2.846	1
43-39	0.1	-1.252	1.452	1
44-39	-0.3	-1.471	0.871	1
45-39	-0.9	-3.646	1.846	1
46-39	-0.2	-1.371	0.971	1
48-39	0.023	-1.078	1.124	1
49-39	-0.9	-3.646	1.846	1
50-39	0.1	-1.021	1.221	1
51-39	-0.9	-3.646	1.846	1
52-39	0.1	-1.001	1.201	1
54-39	-0.025	-1.267	1.217	1
55-39	-0.233	-1.436	0.97	1
56-39	0.225	-1.017	1.467	1
57-39	-0.3	-1.734	1.134	1
58-39	0.1	-1.623	1.823	1
59-39	0.1	-1.19	1.39	1
60-39	-0.15	-1.699	1.399	1
62-39	0.1	-1.623	1.823	1
66-39	0.85	-0.699	2.399	0.943
42-41	0.1	-2.646	2.846	1
43-41	0.1	-1.252	1.452	1
44-41	-0.3	-1.471	0.871	1
45-41	-0.9	-3.646	1.846	1
46-41	-0.2	-1.371	0.971	1
48-41	0.023	-1.078	1.124	1
49-41	-0.9	-3.646	1.846	1
50-41	0.1	-1.021	1.221	1
51-41	-0.9	-3.646	1.846	1
52-41	0.1	-1.001	1.201	1
54-41	-0.025	-1.267	1.217	1
55-41	-0.233	-1.436	0.97	1
56-41	0.225	-1.017	1.467	1
57-41	-0.3	-1.734	1.134	1
58-41	0.1	-1.623	1.823	1
59-41	0.1	-1.19	1.39	1
60-41	-0.15	-1.699	1.399	1
62-41	0.1	-1.623	1.823	1
66-41	0.85	-0.699	2.399	0.943
43-42	0	-2.828	2.828	1
44-42	-0.4	-3.146	2.346	1
45-42	-1	-4.702	2.702	1
46-42	-0.3	-3.046	2.446	1
48-42	-0.077	-2.794	2.64	1
49-42	-1	-4.702	2.702	1
50-42	0	-2.725	2.725	1
51-42	-1	-4.702	2.702	1
52-42	0	-2.717	2.717	1
54-42	-0.125	-2.902	2.652	1
55-42	-0.333	-3.093	2.426	1
56-42	0.125	-2.652	2.902	1
57-42	-0.4	-3.268	2.468	1
58-42	0	-3.023	3.023	1
59-42	0	-2.799	2.799	1
60-42	-0.25	-3.177	2.677	1
62-42	0	-3.023	3.023	1
66-42	0.75	-2.177	3.677	1
44-43	-0.4	-1.752	0.952	1
45-43	-1	-3.828	1.828	1
46-43	-0.3	-1.652	1.052	1
48-43	-0.077	-1.369	1.215	1
49-43	-1	-3.828	1.828	1
50-43	0	-1.309	1.309	1
51-43	-1	-3.828	1.828	1
52-43	0	-1.292	1.292	1
54-43	-0.125	-1.539	1.289	1
55-43	-0.333	-1.713	1.046	1
56-43	0.125	-1.289	1.539	1
57-43	-0.4	-1.985	1.185	1
58-43	0	-1.851	1.851	1
59-43	0	-1.457	1.457	1
60-43	-0.25	-1.94	1.44	1
62-43	0	-1.851	1.851	1
66-43	0.75	-0.94	2.44	0.996
45-44	-0.6	-3.346	2.146	1
46-44	0.1	-1.071	1.271	1
48-44	0.323	-0.778	1.424	1
49-44	-0.6	-3.346	2.146	1
50-44	0.4	-0.721	1.521	1
51-44	-0.6	-3.346	2.146	1
52-44	0.4	-0.701	1.501	1
54-44	0.275	-0.967	1.517	1
55-44	0.067	-1.136	1.27	1
56-44	0.525	-0.717	1.767	0.998
57-44	0	-1.434	1.434	1
58-44	0.4	-1.323	2.123	1
59-44	0.4	-0.89	1.69	1
60-44	0.15	-1.399	1.699	1
62-44	0.4	-1.323	2.123	1
66-44	1.15	-0.399	2.699	0.497
46-45	0.7	-2.046	3.446	1
48-45	0.923	-1.794	3.64	1
49-45	0	-3.702	3.702	1
50-45	1	-1.725	3.725	1
51-45	0	-3.702	3.702	1
52-45	1	-1.717	3.717	1
54-45	0.875	-1.902	3.652	1
55-45	0.667	-2.093	3.426	1
56-45	1.125	-1.652	3.902	0.999
57-45	0.6	-2.268	3.468	1
58-45	1	-2.023	4.023	1
59-45	1	-1.799	3.799	1
60-45	0.75	-2.177	3.677	1
62-45	1	-2.023	4.023	1
66-45	1.75	-1.177	4.677	0.872
48-46	0.223	-0.878	1.324	1
49-46	-0.7	-3.446	2.046	1
50-46	0.3	-0.821	1.421	1
51-46	-0.7	-3.446	2.046	1
52-46	0.3	-0.801	1.401	1
54-46	0.175	-1.067	1.417	1
55-46	-0.033	-1.236	1.17	1
56-46	0.425	-0.817	1.667	1
57-46	-0.1	-1.534	1.334	1
58-46	0.3	-1.423	2.023	1
59-46	0.3	-0.99	1.59	1
60-46	0.05	-1.499	1.599	1
62-46	0.3	-1.423	2.023	1
66-46	1.05	-0.499	2.599	0.684
49-48	-0.923	-3.64	1.794	1
50-48	0.077	-0.971	1.125	1
51-48	-0.923	-3.64	1.794	1
52-48	0.077	-0.95	1.104	1
54-48	-0.048	-1.224	1.128	1
55-48	-0.256	-1.392	0.879	1
56-48	0.202	-0.974	1.378	1
57-48	-0.323	-1.701	1.055	1
58-48	0.077	-1.6	1.754	1
59-48	0.077	-1.15	1.304	1
60-48	-0.173	-1.67	1.324	1
62-48	0.077	-1.6	1.754	1
66-48	0.827	-0.67	2.324	0.939
50-49	1	-1.725	3.725	1
51-49	0	-3.702	3.702	1
52-49	1	-1.717	3.717	1
54-49	0.875	-1.902	3.652	1
55-49	0.667	-2.093	3.426	1
56-49	1.125	-1.652	3.902	0.999
57-49	0.6	-2.268	3.468	1
58-49	1	-2.023	4.023	1
59-49	1	-1.799	3.799	1
60-49	0.75	-2.177	3.677	1
62-49	1	-2.023	4.023	1
66-49	1.75	-1.177	4.677	0.872
51-50	-1	-3.725	1.725	1
52-50	0	-1.048	1.048	1
54-50	-0.125	-1.32	1.07	1
55-50	-0.333	-1.488	0.821	1
56-50	0.125	-1.07	1.32	1
57-50	-0.4	-1.794	0.994	1
58-50	0	-1.69	1.69	1
59-50	0	-1.245	1.245	1
60-50	-0.25	-1.761	1.261	1
62-50	0	-1.69	1.69	1
66-50	0.75	-0.761	2.261	0.982
52-51	1	-1.717	3.717	1
54-51	0.875	-1.902	3.652	1
55-51	0.667	-2.093	3.426	1
56-51	1.125	-1.652	3.902	0.999
57-51	0.6	-2.268	3.468	1
58-51	1	-2.023	4.023	1
59-51	1	-1.799	3.799	1
60-51	0.75	-2.177	3.677	1
62-51	1	-2.023	4.023	1
66-51	1.75	-1.177	4.677	0.872
54-52	-0.125	-1.301	1.051	1
55-52	-0.333	-1.469	0.802	1
56-52	0.125	-1.051	1.301	1
57-52	-0.4	-1.778	0.978	1
58-52	0	-1.677	1.677	1
59-52	0	-1.227	1.227	1
60-52	-0.25	-1.747	1.247	1
62-52	0	-1.677	1.677	1
66-52	0.75	-0.747	2.247	0.979
55-54	-0.208	-1.48	1.064	1
56-54	0.25	-1.059	1.559	1
57-54	-0.275	-1.767	1.217	1
58-54	0.125	-1.647	1.897	1
59-54	0.125	-1.23	1.48	1
60-54	-0.125	-1.728	1.478	1
62-54	0.125	-1.647	1.897	1
66-54	0.875	-0.728	2.478	0.946
56-55	0.458	-0.814	1.73	1
57-55	-0.067	-1.527	1.394	1
58-55	0.333	-1.412	2.079	1
59-55	0.333	-0.986	1.653	1
60-55	0.083	-1.49	1.657	1
62-55	0.333	-1.412	2.079	1
66-55	1.083	-0.49	2.657	0.654
57-56	-0.525	-2.017	0.967	1
58-56	-0.125	-1.897	1.647	1
59-56	-0.125	-1.48	1.23	1
60-56	-0.375	-1.978	1.228	1
62-56	-0.125	-1.897	1.647	1
66-56	0.625	-0.978	2.228	0.999
58-57	0.4	-1.512	2.312	1
59-57	0.4	-1.133	1.933	1
60-57	0.15	-1.606	1.906	1
62-57	0.4	-1.512	2.312	1
66-57	1.15	-0.606	2.906	0.746
59-58	0	-1.807	1.807	1
60-58	-0.25	-2.25	1.75	1
62-58	0	-2.138	2.138	1
66-58	0.75	-1.25	2.75	1
60-59	-0.25	-1.891	1.391	1
62-59	0	-1.807	1.807	1
66-59	0.75	-0.891	2.391	0.994
62-60	0.25	-1.75	2.25	1
66-60	1	-0.851	2.851	0.951
66-62	0.75	-1.25	2.75	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	26	0.665	0.887
	133

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Nov/29/t1290985556xol5pik8ejn4wwq/3jzmp1290985488.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1290985556xol5pik8ejn4wwq/3jzmp1290985488.ps (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1290985556xol5pik8ejn4wwq/4jzmp1290985488.png (open in new window)

http://www.freestatistics.org/blog/date/2010/Nov/29/t1290985556xol5pik8ejn4wwq/4jzmp1290985488.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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