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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: Sun, 06 Dec 2009 09:15:22 -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/06/t1260119630mwweqoq3re2fonk.htm/, Retrieved Sun, 06 Dec 2009 18:13:54 +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/06/t1260119630mwweqoq3re2fonk.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 «

36 91 36 88 56 94 48 90 32 73 44 68 39 80 34 86 41 86 50 91 39 79 62 96 52 92 37 72 50 96 41 70 55 86 41 87 56 88 39 79 52 90 46 95 44 85 48 91 41 90 50 115 50 84 44 79 52 94 54 97 44 86 52 111 37 87 52 98 50 87 36 68 50 88 52 82 55 111 31 75 36 94 49 95 42 80 37 95 41 68 30 94 52 88 30 84 41 91 44 101 66 98 48 78 43 109 57 102 46 81 54 97 48 75 48 97 52 0 62 101 58 101 58 95 62 95 48 91 46 95 34 90 66 107 52 92 55 86 55 70 57 95 56 96 55 91 56 87 54 92 55 97 46 102 52 91 32 68 44 88 46 97 59 90 46 101 46 94 54 101 66 109 56 100 59 103 57 94 52 97 48 85 44 75 41 77 50 87 48 78 48 108 59 97 34 105 46 106 54 107 55 95 54 107 59 115 44 101 54 85 52 90 66 115 44 95 57 97 39 112 60 97 45 77 41 90 50 94 39 103 43 77 48 98 37 90 58 111 46 77 43 88 44 75 34 92 30 78 50 106 39 80 37 87 55 92 48 91 41 111 39 86 36 85 43 90 50 101 55 94 43 86 60 86 48 90 30 75 43 86 39 91 52 97 39 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	8 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

ANOVA Model
MC30VRB ~ WISCRY7V
means	52	5.333	-0.857	1	-3	-18	-4	6	-4	2.5	-0.5	-13	6.5	-13.75	-7	-15	-20	-12.6	-8.25	-10	-11.333	-12	-6	0	-12	-6.5	-6	-6.429	-6	-6.5	-5.455	-0.833	-4.25	-2	3.6	1.417	4.4

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
WISCRY7V	36	4722.993	131.194	2.41	0
Residuals	123	6694.982	54.431

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
100-0	5.333	-28.303	38.97	1
101-0	-0.857	-31.998	30.284	1
102-0	1	-32.636	34.636	1
103-0	-3	-38.677	32.677	1
105-0	-18	-59.196	23.196	0.999
106-0	-4	-39.677	31.677	1
107-0	6	-27.636	39.636	1
108-0	-4	-45.196	37.196	1
109-0	2.5	-33.177	38.177	1
111-0	-0.5	-33.068	32.068	1
112-0	-13	-54.196	28.196	1
115-0	6.5	-26.068	39.068	1
68-0	-13.75	-46.318	18.818	1
70-0	-7	-40.636	26.636	1
72-0	-15	-56.196	26.196	1
73-0	-20	-61.196	21.196	0.995
75-0	-12.6	-44.51	19.31	1
77-0	-8.25	-40.818	24.318	1
78-0	-10	-43.636	23.636	1
79-0	-11.333	-44.97	22.303	1
80-0	-12	-45.636	21.636	1
81-0	-6	-47.196	35.196	1
82-0	0	-41.196	41.196	1
84-0	-12	-47.677	23.677	1
85-0	-6.5	-39.068	26.068	1
86-0	-6	-36.706	24.706	1
87-0	-6.429	-37.57	24.713	1
88-0	-6	-37.141	25.141	1
90-0	-6.5	-37.052	24.052	1
91-0	-5.455	-35.88	24.971	1
92-0	-0.833	-32.297	30.631	1
94-0	-4.25	-35.147	26.647	1
95-0	-2	-32.425	28.425	1
96-0	3.6	-28.31	35.51	1
97-0	1.417	-28.903	31.736	1
98-0	4.4	-27.51	36.31	1
101-100	-6.19	-26.292	13.911	1
102-100	-4.333	-28.118	19.451	1
103-100	-8.333	-34.925	18.258	1
105-100	-23.333	-56.97	10.303	0.695
106-100	-9.333	-35.925	17.258	1
107-100	0.667	-23.118	24.451	1
108-100	-9.333	-42.97	24.303	1
109-100	-2.833	-29.425	23.758	1
111-100	-5.833	-28.082	16.415	1
112-100	-18.333	-51.97	15.303	0.972
115-100	1.167	-21.082	23.415	1
68-100	-19.083	-41.332	3.165	0.231
70-100	-12.333	-36.118	11.451	0.986
72-100	-20.333	-53.97	13.303	0.905
73-100	-25.333	-58.97	8.303	0.512
75-100	-17.933	-39.207	3.34	0.263
77-100	-13.583	-35.832	8.665	0.895
78-100	-15.333	-39.118	8.451	0.826
79-100	-16.667	-40.451	7.118	0.674
80-100	-17.333	-41.118	6.451	0.588
81-100	-11.333	-44.97	22.303	1
82-100	-5.333	-38.97	28.303	1
84-100	-17.333	-43.925	9.258	0.809
85-100	-11.833	-34.082	10.415	0.98
86-100	-11.333	-30.753	8.087	0.935
87-100	-11.762	-31.863	8.34	0.933
88-100	-11.333	-31.435	8.768	0.956
90-100	-11.833	-31.009	7.342	0.883
91-100	-10.788	-29.761	8.186	0.952
92-100	-6.167	-26.765	14.431	1
94-100	-9.583	-29.304	10.138	0.995
95-100	-7.333	-26.307	11.64	1
96-100	-1.733	-23.007	19.54	1
97-100	-3.917	-22.72	14.887	1
98-100	-0.933	-22.207	20.34	1
102-101	1.857	-18.244	21.959	1
103-101	-2.143	-25.499	21.213	1
105-101	-17.143	-48.284	13.998	0.968
106-101	-3.143	-26.499	20.213	1
107-101	6.857	-13.244	26.959	1
108-101	-3.143	-34.284	27.998	1
109-101	3.357	-19.999	26.713	1
111-101	0.357	-17.901	18.615	1
112-101	-12.143	-43.284	18.998	1
115-101	7.357	-10.901	25.615	1
68-101	-12.893	-31.151	5.365	0.658
70-101	-6.143	-26.244	13.959	1
72-101	-14.143	-45.284	16.998	0.998
73-101	-19.143	-50.284	11.998	0.887
75-101	-11.743	-28.8	5.314	0.71
77-101	-7.393	-25.651	10.865	1
78-101	-9.143	-29.244	10.959	0.998
79-101	-10.476	-30.578	9.625	0.985
80-101	-11.143	-31.244	8.959	0.965
81-101	-5.143	-36.284	25.998	1
82-101	0.857	-30.284	31.998	1
84-101	-11.143	-34.499	12.213	0.996
85-101	-5.643	-23.901	12.615	1
86-101	-5.143	-19.823	9.537	1
87-101	-5.571	-21.142	9.999	1
88-101	-5.143	-20.713	10.428	1
90-101	-5.643	-19.998	8.712	1
91-101	-4.597	-18.682	9.487	1
92-101	0.024	-16.183	16.23	1
94-101	-3.393	-18.469	11.683	1
95-101	-1.143	-15.227	12.941	1
96-101	4.457	-12.6	21.514	1
97-101	2.274	-11.58	16.128	1
98-101	5.257	-11.8	22.314	1
103-102	-4	-30.592	22.592	1
105-102	-19	-52.636	14.636	0.955
106-102	-5	-31.592	21.592	1
107-102	5	-18.784	28.784	1
108-102	-5	-38.636	28.636	1
109-102	1.5	-25.092	28.092	1
111-102	-1.5	-23.748	20.748	1
112-102	-14	-47.636	19.636	1
115-102	5.5	-16.748	27.748	1
68-102	-14.75	-36.998	7.498	0.781
70-102	-8	-31.784	15.784	1
72-102	-16	-49.636	17.636	0.996
73-102	-21	-54.636	12.636	0.869
75-102	-13.6	-34.873	7.673	0.838
77-102	-9.25	-31.498	12.998	1
78-102	-11	-34.784	12.784	0.998
79-102	-12.333	-36.118	11.451	0.986
80-102	-13	-36.784	10.784	0.971
81-102	-7	-40.636	26.636	1
82-102	-1	-34.636	32.636	1
84-102	-13	-39.592	13.592	0.994
85-102	-7.5	-29.748	14.748	1
86-102	-7	-26.42	12.42	1
87-102	-7.429	-27.53	12.673	1
88-102	-7	-27.102	13.102	1
90-102	-7.5	-26.676	11.676	1
91-102	-6.455	-25.428	12.519	1
92-102	-1.833	-22.431	18.765	1
94-102	-5.25	-24.971	14.471	1
95-102	-3	-21.973	15.973	1
96-102	2.6	-18.673	23.873	1
97-102	0.417	-18.387	19.22	1
98-102	3.4	-17.873	24.673	1
105-103	-15	-50.677	20.677	1
106-103	-1	-30.13	28.13	1
107-103	9	-17.592	35.592	1
108-103	-1	-36.677	34.677	1
109-103	5.5	-23.63	34.63	1
111-103	2.5	-22.727	27.727	1
112-103	-10	-45.677	25.677	1
115-103	9.5	-15.727	34.727	1
68-103	-10.75	-35.977	14.477	0.999
70-103	-4	-30.592	22.592	1
72-103	-12	-47.677	23.677	1
73-103	-17	-52.677	18.677	0.996
75-103	-9.6	-33.972	14.772	1
77-103	-5.25	-30.477	19.977	1
78-103	-7	-33.592	19.592	1
79-103	-8.333	-34.925	18.258	1
80-103	-9	-35.592	17.592	1
81-103	-3	-38.677	32.677	1
82-103	3	-32.677	38.677	1
84-103	-9	-38.13	20.13	1
85-103	-3.5	-28.727	21.727	1
86-103	-3	-25.772	19.772	1
87-103	-3.429	-26.784	19.927	1
88-103	-3	-26.356	20.356	1
90-103	-3.5	-26.064	19.064	1
91-103	-2.455	-24.847	19.938	1
92-103	2.167	-21.618	25.951	1
94-103	-1.25	-24.279	21.779	1
95-103	1	-21.392	23.392	1
96-103	6.6	-17.772	30.972	1
97-103	4.417	-17.832	26.665	1
98-103	7.4	-16.972	31.772	1
106-105	14	-21.677	49.677	1
107-105	24	-9.636	57.636	0.635
108-105	14	-27.196	55.196	1
109-105	20.5	-15.177	56.177	0.945
111-105	17.5	-15.068	50.068	0.976
112-105	5	-36.196	46.196	1
115-105	24.5	-8.068	57.068	0.514
68-105	4.25	-28.318	36.818	1
70-105	11	-22.636	44.636	1
72-105	3	-38.196	44.196	1
73-105	-2	-43.196	39.196	1
75-105	5.4	-26.51	37.31	1
77-105	9.75	-22.818	42.318	1
78-105	8	-25.636	41.636	1
79-105	6.667	-26.97	40.303	1
80-105	6	-27.636	39.636	1
81-105	12	-29.196	53.196	1
82-105	18	-23.196	59.196	0.999
84-105	6	-29.677	41.677	1
85-105	11.5	-21.068	44.068	1
86-105	12	-18.706	42.706	1
87-105	11.571	-19.57	42.713	1
88-105	12	-19.141	43.141	1
90-105	11.5	-19.052	42.052	1
91-105	12.545	-17.88	42.971	1
92-105	17.167	-14.297	48.631	0.971
94-105	13.75	-17.147	44.647	0.999
95-105	16	-14.425	46.425	0.982
96-105	21.6	-10.31	53.51	0.743
97-105	19.417	-10.903	49.736	0.835
98-105	22.4	-9.51	54.31	0.67
107-106	10	-16.592	36.592	1
108-106	0	-35.677	35.677	1
109-106	6.5	-22.63	35.63	1
111-106	3.5	-21.727	28.727	1
112-106	-9	-44.677	26.677	1
115-106	10.5	-14.727	35.727	1
68-106	-9.75	-34.977	15.477	1
70-106	-3	-29.592	23.592	1
72-106	-11	-46.677	24.677	1
73-106	-16	-51.677	19.677	0.999
75-106	-8.6	-32.972	15.772	1
77-106	-4.25	-29.477	20.977	1
78-106	-6	-32.592	20.592	1
79-106	-7.333	-33.925	19.258	1
80-106	-8	-34.592	18.592	1
81-106	-2	-37.677	33.677	1
82-106	4	-31.677	39.677	1
84-106	-8	-37.13	21.13	1
85-106	-2.5	-27.727	22.727	1
86-106	-2	-24.772	20.772	1
87-106	-2.429	-25.784	20.927	1
88-106	-2	-25.356	21.356	1
90-106	-2.5	-25.064	20.064	1
91-106	-1.455	-23.847	20.938	1
92-106	3.167	-20.618	26.951	1
94-106	-0.25	-23.279	22.779	1
95-106	2	-20.392	24.392	1
96-106	7.6	-16.772	31.972	1
97-106	5.417	-16.832	27.665	1
98-106	8.4	-15.972	32.772	1
108-107	-10	-43.636	23.636	1
109-107	-3.5	-30.092	23.092	1
111-107	-6.5	-28.748	15.748	1
112-107	-19	-52.636	14.636	0.955
115-107	0.5	-21.748	22.748	1
68-107	-19.75	-41.998	2.498	0.174
70-107	-13	-36.784	10.784	0.971
72-107	-21	-54.636	12.636	0.869
73-107	-26	-59.636	7.636	0.451
75-107	-18.6	-39.873	2.673	0.198
77-107	-14.25	-36.498	7.998	0.835
78-107	-16	-39.784	7.784	0.755
79-107	-17.333	-41.118	6.451	0.588
80-107	-18	-41.784	5.784	0.5
81-107	-12	-45.636	21.636	1
82-107	-6	-39.636	27.636	1
84-107	-18	-44.592	8.592	0.743
85-107	-12.5	-34.748	9.748	0.958
86-107	-12	-31.42	7.42	0.882
87-107	-12.429	-32.53	7.673	0.881
88-107	-12	-32.102	8.102	0.917
90-107	-12.5	-31.676	6.676	0.809
91-107	-11.455	-30.428	7.519	0.906
92-107	-6.833	-27.431	13.765	1
94-107	-10.25	-29.971	9.471	0.985
95-107	-8	-26.973	10.973	1
96-107	-2.4	-23.673	18.873	1
97-107	-4.583	-23.387	14.22	1
98-107	-1.6	-22.873	19.673	1
109-108	6.5	-29.177	42.177	1
111-108	3.5	-29.068	36.068	1
112-108	-9	-50.196	32.196	1
115-108	10.5	-22.068	43.068	1
68-108	-9.75	-42.318	22.818	1
70-108	-3	-36.636	30.636	1
72-108	-11	-52.196	30.196	1
73-108	-16	-57.196	25.196	1
75-108	-8.6	-40.51	23.31	1
77-108	-4.25	-36.818	28.318	1
78-108	-6	-39.636	27.636	1
79-108	-7.333	-40.97	26.303	1
80-108	-8	-41.636	25.636	1
81-108	-2	-43.196	39.196	1
82-108	4	-37.196	45.196	1
84-108	-8	-43.677	27.677	1
85-108	-2.5	-35.068	30.068	1
86-108	-2	-32.706	28.706	1
87-108	-2.429	-33.57	28.713	1
88-108	-2	-33.141	29.141	1
90-108	-2.5	-33.052	28.052	1
91-108	-1.455	-31.88	28.971	1
92-108	3.167	-28.297	34.631	1
94-108	-0.25	-31.147	30.647	1
95-108	2	-28.425	32.425	1
96-108	7.6	-24.31	39.51	1
97-108	5.417	-24.903	35.736	1
98-108	8.4	-23.51	40.31	1
111-109	-3	-28.227	22.227	1
112-109	-15.5	-51.177	20.177	0.999
115-109	4	-21.227	29.227	1
68-109	-16.25	-41.477	8.977	0.827
70-109	-9.5	-36.092	17.092	1
72-109	-17.5	-53.177	18.177	0.994
73-109	-22.5	-58.177	13.177	0.857
75-109	-15.1	-39.472	9.272	0.879
77-109	-10.75	-35.977	14.477	0.999
78-109	-12.5	-39.092	14.092	0.997
79-109	-13.833	-40.425	12.758	0.985
80-109	-14.5	-41.092	12.092	0.971
81-109	-8.5	-44.177	27.177	1
82-109	-2.5	-38.177	33.177	1
84-109	-14.5	-43.63	14.63	0.992
85-109	-9	-34.227	16.227	1
86-109	-8.5	-31.272	14.272	1
87-109	-8.929	-32.284	14.427	1
88-109	-8.5	-31.856	14.856	1
90-109	-9	-31.564	13.564	1
91-109	-7.955	-30.347	14.438	1
92-109	-3.333	-27.118	20.451	1
94-109	-6.75	-29.779	16.279	1
95-109	-4.5	-26.892	17.892	1
96-109	1.1	-23.272	25.472	1
97-109	-1.083	-23.332	21.165	1
98-109	1.9	-22.472	26.272	1
112-111	-12.5	-45.068	20.068	1
115-111	7	-13.598	27.598	1
68-111	-13.25	-33.848	7.348	0.829
70-111	-6.5	-28.748	15.748	1
72-111	-14.5	-47.068	18.068	0.999
73-111	-19.5	-52.068	13.068	0.914
75-111	-12.1	-31.641	7.441	0.879
77-111	-7.75	-28.348	12.848	1
78-111	-9.5	-31.748	12.748	0.999
79-111	-10.833	-33.082	11.415	0.994
80-111	-11.5	-33.748	10.748	0.986
81-111	-5.5	-38.068	27.068	1
82-111	0.5	-32.068	33.068	1
84-111	-11.5	-36.727	13.727	0.998
85-111	-6	-26.598	14.598	1
86-111	-5.5	-23.005	12.005	1
87-111	-5.929	-24.187	12.33	1
88-111	-5.5	-23.758	12.758	1
90-111	-6	-23.233	11.233	1
91-111	-4.955	-21.963	12.054	1
92-111	-0.333	-19.137	18.47	1
94-111	-3.75	-21.588	14.088	1
95-111	-1.5	-18.508	15.508	1
96-111	4.1	-15.441	23.641	1
97-111	1.917	-14.901	18.735	1
98-111	4.9	-14.641	24.441	1
115-112	19.5	-13.068	52.068	0.914
68-112	-0.75	-33.318	31.818	1
70-112	6	-27.636	39.636	1
72-112	-2	-43.196	39.196	1
73-112	-7	-48.196	34.196	1
75-112	0.4	-31.51	32.31	1
77-112	4.75	-27.818	37.318	1
78-112	3	-30.636	36.636	1
79-112	1.667	-31.97	35.303	1
80-112	1	-32.636	34.636	1
81-112	7	-34.196	48.196	1
82-112	13	-28.196	54.196	1
84-112	1	-34.677	36.677	1
85-112	6.5	-26.068	39.068	1
86-112	7	-23.706	37.706	1
87-112	6.571	-24.57	37.713	1
88-112	7	-24.141	38.141	1
90-112	6.5	-24.052	37.052	1
91-112	7.545	-22.88	37.971	1
92-112	12.167	-19.297	43.631	1
94-112	8.75	-22.147	39.647	1
95-112	11	-19.425	41.425	1
96-112	16.6	-15.31	48.51	0.985
97-112	14.417	-15.903	44.736	0.996
98-112	17.4	-14.51	49.31	0.971
68-115	-20.25	-40.848	0.348	0.061
70-115	-13.5	-35.748	8.748	0.901
72-115	-21.5	-54.068	11.068	0.788
73-115	-26.5	-59.068	6.068	0.335
75-115	-19.1	-38.641	0.441	0.066
77-115	-14.75	-35.348	5.848	0.627
78-115	-16.5	-38.748	5.748	0.548
79-115	-17.833	-40.082	4.415	0.368
80-115	-18.5	-40.748	3.748	0.29
81-115	-12.5	-45.068	20.068	1
82-115	-6.5	-39.068	26.068	1
84-115	-18.5	-43.727	6.727	0.574
85-115	-13	-33.598	7.598	0.856
86-115	-12.5	-30.005	5.005	0.633
87-115	-12.929	-31.187	5.33	0.652
88-115	-12.5	-30.758	5.758	0.721
90-115	-13	-30.233	4.233	0.508
91-115	-11.955	-28.963	5.054	0.668
92-115	-7.333	-26.137	11.47	1
94-115	-10.75	-28.588	7.088	0.908
95-115	-8.5	-25.508	8.508	0.992
96-115	-2.9	-22.441	16.641	1
97-115	-5.083	-21.901	11.735	1
98-115	-2.1	-21.641	17.441	1
70-68	6.75	-15.498	28.998	1
72-68	-1.25	-33.818	31.318	1
73-68	-6.25	-38.818	26.318	1
75-68	1.15	-18.391	20.691	1
77-68	5.5	-15.098	26.098	1
78-68	3.75	-18.498	25.998	1
79-68	2.417	-19.832	24.665	1
80-68	1.75	-20.498	23.998	1
81-68	7.75	-24.818	40.318	1
82-68	13.75	-18.818	46.318	1
84-68	1.75	-23.477	26.977	1
85-68	7.25	-13.348	27.848	1
86-68	7.75	-9.755	25.255	0.999
87-68	7.321	-10.937	25.58	1
88-68	7.75	-10.508	26.008	1
90-68	7.25	-9.983	24.483	1
91-68	8.295	-8.713	25.304	0.994
92-68	12.917	-5.887	31.72	0.715
94-68	9.5	-8.338	27.338	0.979
95-68	11.75	-5.258	28.758	0.703
96-68	17.35	-2.191	36.891	0.174
97-68	15.167	-1.651	31.985	0.151
98-68	18.15	-1.391	37.691	0.114
72-70	-8	-41.636	25.636	1
73-70	-13	-46.636	20.636	1
75-70	-5.6	-26.873	15.673	1
77-70	-1.25	-23.498	20.998	1
78-70	-3	-26.784	20.784	1
79-70	-4.333	-28.118	19.451	1
80-70	-5	-28.784	18.784	1
81-70	1	-32.636	34.636	1
82-70	7	-26.636	40.636	1
84-70	-5	-31.592	21.592	1
85-70	0.5	-21.748	22.748	1
86-70	1	-18.42	20.42	1
87-70	0.571	-19.53	20.673	1
88-70	1	-19.102	21.102	1
90-70	0.5	-18.676	19.676	1
91-70	1.545	-17.428	20.519	1
92-70	6.167	-14.431	26.765	1
94-70	2.75	-16.971	22.471	1
95-70	5	-13.973	23.973	1
96-70	10.6	-10.673	31.873	0.992
97-70	8.417	-10.387	27.22	0.999
98-70	11.4	-9.873	32.673	0.977
73-72	-5	-46.196	36.196	1
75-72	2.4	-29.51	34.31	1
77-72	6.75	-25.818	39.318	1
78-72	5	-28.636	38.636	1
79-72	3.667	-29.97	37.303	1
80-72	3	-30.636	36.636	1
81-72	9	-32.196	50.196	1
82-72	15	-26.196	56.196	1
84-72	3	-32.677	38.677	1
85-72	8.5	-24.068	41.068	1
86-72	9	-21.706	39.706	1
87-72	8.571	-22.57	39.713	1
88-72	9	-22.141	40.141	1
90-72	8.5	-22.052	39.052	1
91-72	9.545	-20.88	39.971	1
92-72	14.167	-17.297	45.631	0.999
94-72	10.75	-20.147	41.647	1
95-72	13	-17.425	43.425	0.999
96-72	18.6	-13.31	50.51	0.936
97-72	16.417	-13.903	46.736	0.974
98-72	19.4	-12.51	51.31	0.899
75-73	7.4	-24.51	39.31	1
77-73	11.75	-20.818	44.318	1
78-73	10	-23.636	43.636	1
79-73	8.667	-24.97	42.303	1
80-73	8	-25.636	41.636	1
81-73	14	-27.196	55.196	1
82-73	20	-21.196	61.196	0.995
84-73	8	-27.677	43.677	1
85-73	13.5	-19.068	46.068	1
86-73	14	-16.706	44.706	0.998
87-73	13.571	-17.57	44.713	0.999
88-73	14	-17.141	45.141	0.999
90-73	13.5	-17.052	44.052	0.999
91-73	14.545	-15.88	44.971	0.996
92-73	19.167	-12.297	50.631	0.897
94-73	15.75	-15.147	46.647	0.989
95-73	18	-12.425	48.425	0.924
96-73	23.6	-8.31	55.51	0.554
97-73	21.417	-8.903	51.736	0.657
98-73	24.4	-7.51	56.31	0.476
77-75	4.35	-15.191	23.891	1
78-75	2.6	-18.673	23.873	1
79-75	1.267	-20.007	22.54	1
80-75	0.6	-20.673	21.873	1
81-75	6.6	-25.31	38.51	1
82-75	12.6	-19.31	44.51	1
84-75	0.6	-23.772	24.972	1
85-75	6.1	-13.441	25.641	1
86-75	6.6	-9.648	22.848	1
87-75	6.171	-10.885	23.228	1
88-75	6.6	-10.457	23.657	1
90-75	6.1	-9.855	22.055	1
91-75	7.145	-8.566	22.857	0.998
92-75	11.767	-5.872	29.406	0.77
94-75	8.35	-8.257	24.957	0.991
95-75	10.6	-5.111	26.311	0.749
96-75	16.2	-2.223	34.623	0.189
97-75	14.017	-1.489	29.522	0.148
98-75	17	-1.423	35.423	0.122
78-77	-1.75	-23.998	20.498	1
79-77	-3.083	-25.332	19.165	1
80-77	-3.75	-25.998	18.498	1
81-77	2.25	-30.318	34.818	1
82-77	8.25	-24.318	40.818	1
84-77	-3.75	-28.977	21.477	1
85-77	1.75	-18.848	22.348	1
86-77	2.25	-15.255	19.755	1
87-77	1.821	-16.437	20.08	1
88-77	2.25	-16.008	20.508	1
90-77	1.75	-15.483	18.983	1
91-77	2.795	-14.213	19.804	1
92-77	7.417	-11.387	26.22	1
94-77	4	-13.838	21.838	1
95-77	6.25	-10.758	23.258	1
96-77	11.85	-7.691	31.391	0.902
97-77	9.667	-7.151	26.485	0.945
98-77	12.65	-6.891	32.191	0.819
79-78	-1.333	-25.118	22.451	1
80-78	-2	-25.784	21.784	1
81-78	4	-29.636	37.636	1
82-78	10	-23.636	43.636	1
84-78	-2	-28.592	24.592	1
85-78	3.5	-18.748	25.748	1
86-78	4	-15.42	23.42	1
87-78	3.571	-16.53	23.673	1
88-78	4	-16.102	24.102	1
90-78	3.5	-15.676	22.676	1
91-78	4.545	-14.428	23.519	1
92-78	9.167	-11.431	29.765	0.999
94-78	5.75	-13.971	25.471	1
95-78	8	-10.973	26.973	1
96-78	13.6	-7.673	34.873	0.838
97-78	11.417	-7.387	30.22	0.901
98-78	14.4	-6.873	35.673	0.743
80-79	-0.667	-24.451	23.118	1
81-79	5.333	-28.303	38.97	1
82-79	11.333	-22.303	44.97	1
84-79	-0.667	-27.258	25.925	1
85-79	4.833	-17.415	27.082	1
86-79	5.333	-14.087	24.753	1
87-79	4.905	-15.197	25.006	1
88-79	5.333	-14.768	25.435	1
90-79	4.833	-14.342	24.009	1
91-79	5.879	-13.095	24.852	1
92-79	10.5	-10.098	31.098	0.989
94-79	7.083	-12.638	26.804	1
95-79	9.333	-9.64	28.307	0.994
96-79	14.933	-6.34	36.207	0.67
97-79	12.75	-6.053	31.553	0.74
98-79	15.733	-5.54	37.007	0.554
81-80	6	-27.636	39.636	1
82-80	12	-21.636	45.636	1
84-80	0	-26.592	26.592	1
85-80	5.5	-16.748	27.748	1
86-80	6	-13.42	25.42	1
87-80	5.571	-14.53	25.673	1
88-80	6	-14.102	26.102	1
90-80	5.5	-13.676	24.676	1
91-80	6.545	-12.428	25.519	1
92-80	11.167	-9.431	31.765	0.974
94-80	7.75	-11.971	27.471	1
95-80	10	-8.973	28.973	0.982
96-80	15.6	-5.673	36.873	0.574
97-80	13.417	-5.387	32.22	0.635
98-80	16.4	-4.873	37.673	0.457
82-81	6	-35.196	47.196	1
84-81	-6	-41.677	29.677	1
85-81	-0.5	-33.068	32.068	1
86-81	0	-30.706	30.706	1
87-81	-0.429	-31.57	30.713	1
88-81	0	-31.141	31.141	1
90-81	-0.5	-31.052	30.052	1
91-81	0.545	-29.88	30.971	1
92-81	5.167	-26.297	36.631	1
94-81	1.75	-29.147	32.647	1
95-81	4	-26.425	34.425	1
96-81	9.6	-22.31	41.51	1
97-81	7.417	-22.903	37.736	1
98-81	10.4	-21.51	42.31	1
84-82	-12	-47.677	23.677	1
85-82	-6.5	-39.068	26.068	1
86-82	-6	-36.706	24.706	1
87-82	-6.429	-37.57	24.713	1
88-82	-6	-37.141	25.141	1
90-82	-6.5	-37.052	24.052	1
91-82	-5.455	-35.88	24.971	1
92-82	-0.833	-32.297	30.631	1
94-82	-4.25	-35.147	26.647	1
95-82	-2	-32.425	28.425	1
96-82	3.6	-28.31	35.51	1
97-82	1.417	-28.903	31.736	1
98-82	4.4	-27.51	36.31	1
85-84	5.5	-19.727	30.727	1
86-84	6	-16.772	28.772	1
87-84	5.571	-17.784	28.927	1
88-84	6	-17.356	29.356	1
90-84	5.5	-17.064	28.064	1
91-84	6.545	-15.847	28.938	1
92-84	11.167	-12.618	34.951	0.997
94-84	7.75	-15.279	30.779	1
95-84	10	-12.392	32.392	0.999
96-84	15.6	-8.772	39.972	0.836
97-84	13.417	-8.832	35.665	0.907
98-84	16.4	-7.972	40.772	0.754
86-85	0.5	-17.005	18.005	1
87-85	0.071	-18.187	18.33	1
88-85	0.5	-17.758	18.758	1
90-85	0	-17.233	17.233	1
91-85	1.045	-15.963	18.054	1
92-85	5.667	-13.137	24.47	1
94-85	2.25	-15.588	20.088	1
95-85	4.5	-12.508	21.508	1
96-85	10.1	-9.441	29.641	0.986
97-85	7.917	-8.901	24.735	0.997
98-85	10.9	-8.641	30.441	0.962
87-86	-0.429	-15.109	14.251	1
88-86	0	-14.68	14.68	1
90-86	-0.5	-13.884	12.884	1
91-86	0.545	-12.547	13.638	1
92-86	5.167	-10.186	20.519	1
94-86	1.75	-12.405	15.905	1
95-86	4	-9.093	17.093	1
96-86	9.6	-6.648	25.848	0.925
97-86	7.417	-5.428	20.262	0.942
98-86	10.4	-5.848	26.648	0.836
88-87	0.429	-15.142	15.999	1
90-87	-0.071	-14.427	14.284	1
91-87	0.974	-13.11	15.058	1
92-87	5.595	-10.611	21.802	1
94-87	2.179	-12.898	17.255	1
95-87	4.429	-9.656	18.513	1
96-87	10.029	-7.028	27.085	0.929
97-87	7.845	-6.009	21.699	0.954
98-87	10.829	-6.228	27.885	0.848
90-88	-0.5	-14.855	13.855	1
91-88	0.545	-13.539	14.63	1
92-88	5.167	-11.04	21.373	1
94-88	1.75	-13.326	16.826	1
95-88	4	-10.084	18.084	1
96-88	9.6	-7.457	26.657	0.957
97-88	7.417	-6.437	21.271	0.978
98-88	10.4	-6.657	27.457	0.896
91-90	1.045	-11.682	13.773	1
92-90	5.667	-9.376	20.709	1
94-90	2.25	-11.568	16.068	1
95-90	4.5	-8.228	17.228	1
96-90	10.1	-5.855	26.055	0.852
97-90	7.917	-4.556	20.389	0.848
98-90	10.9	-5.055	26.855	0.726
92-91	4.621	-10.163	19.405	1
94-91	1.205	-12.331	14.74	1
95-91	3.455	-8.966	15.876	1
96-91	9.055	-6.657	24.766	0.944
97-91	6.871	-5.288	19.031	0.955
98-91	9.855	-5.857	25.566	0.864
94-92	-3.417	-19.149	12.315	1
95-92	-1.167	-15.951	13.617	1
96-92	4.433	-13.206	22.072	1
97-92	2.25	-12.315	16.815	1
98-92	5.233	-12.406	22.872	1
95-94	2.25	-11.285	15.785	1
96-94	7.85	-8.757	24.457	0.997
97-94	5.667	-7.629	18.963	0.999
98-94	8.65	-7.957	25.257	0.985
96-95	5.6	-10.111	21.311	1
97-95	3.417	-8.743	15.576	1
98-95	6.4	-9.311	22.111	1
97-96	-2.183	-17.689	13.322	1
98-96	0.8	-17.623	19.223	1
98-97	2.983	-12.522	18.489	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	36	0.891	0.646
	123

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260119630mwweqoq3re2fonk/39wqx1260116112.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260119630mwweqoq3re2fonk/39wqx1260116112.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260119630mwweqoq3re2fonk/443p11260116112.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/06/t1260119630mwweqoq3re2fonk/443p11260116112.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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