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anova mothers age impct on IQ at 30mnths n yr 7

*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 06:51:07 -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/t1260885242tq5vtzi607vbyka.htm/, Retrieved Tue, 15 Dec 2009 14:54:05 +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/t1260885242tq5vtzi607vbyka.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 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 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 44 101 66 98 48 78 43 109 57 102 46 81 54 97 48 75 48 97 62 101 58 101 58 95 62 95 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 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 91 39 70 56 98 59 96 46 95 57 100 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
RespVar ~ AgeGroup
means	57.333	-6.19	-4.333	-8.333	-23.333	-9.333	0.667	-9.333	-2.833	-5.833	-18.333	1.167	-19.083	-12.333	-20.333	-25.333	-17.933	-13.583	-15.333	-16.667	-17.333	-11.333	-5.333	-17.333	-11.833	-11.333	-11.762	-11.333	-11.833	-10.333	-6.167	-9.583	-7.333	-1.733	-3.917	-0.933

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
AgeGroup	35	4686.66	133.905	2.427	0
Residuals	117	6456.255	55.182

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
101-100	-6.19	-26.384	14.003	1
102-100	-4.333	-28.226	19.56	1
103-100	-8.333	-35.046	18.38	1
105-100	-23.333	-57.123	10.456	0.697
106-100	-9.333	-36.046	17.38	1
107-100	0.667	-23.226	24.56	1
108-100	-9.333	-43.123	24.456	1
109-100	-2.833	-29.546	23.88	1
111-100	-5.833	-28.183	16.516	1
112-100	-18.333	-52.123	15.456	0.971
115-100	1.167	-21.183	23.516	1
68-100	-19.083	-41.433	3.266	0.236
70-100	-12.333	-36.226	11.56	0.985
72-100	-20.333	-54.123	13.456	0.904
73-100	-25.333	-59.123	8.456	0.515
75-100	-17.933	-39.304	3.437	0.269
77-100	-13.583	-35.933	8.766	0.894
78-100	-15.333	-39.226	8.56	0.825
79-100	-16.667	-40.56	7.226	0.676
80-100	-17.333	-41.226	6.56	0.591
81-100	-11.333	-45.123	22.456	1
82-100	-5.333	-39.123	28.456	1
84-100	-17.333	-44.046	9.38	0.809
85-100	-11.833	-34.183	10.516	0.979
86-100	-11.333	-30.842	8.175	0.934
87-100	-11.762	-31.955	8.431	0.932
88-100	-11.333	-31.527	8.86	0.955
90-100	-11.833	-31.096	7.43	0.882
91-100	-10.333	-31.704	11.037	0.994
92-100	-6.167	-26.859	14.525	1
94-100	-9.583	-29.394	10.228	0.994
95-100	-7.333	-26.393	11.727	1
96-100	-1.733	-23.104	19.637	1
97-100	-3.917	-22.806	14.972	1
98-100	-0.933	-22.304	20.437	1
102-101	1.857	-18.336	22.05	1
103-101	-2.143	-25.605	21.32	1
105-101	-17.143	-48.426	14.14	0.967
106-101	-3.143	-26.605	20.32	1
107-101	6.857	-13.336	27.05	1
108-101	-3.143	-34.426	28.14	1
109-101	3.357	-20.105	26.82	1
111-101	0.357	-17.984	18.699	1
112-101	-12.143	-43.426	19.14	1
115-101	7.357	-10.984	25.699	1
68-101	-12.893	-31.234	5.449	0.66
70-101	-6.143	-26.336	14.05	1
72-101	-14.143	-45.426	17.14	0.998
73-101	-19.143	-50.426	12.14	0.887
75-101	-11.743	-28.877	5.392	0.712
77-101	-7.393	-25.734	10.949	1
78-101	-9.143	-29.336	11.05	0.998
79-101	-10.476	-30.669	9.717	0.984
80-101	-11.143	-31.336	9.05	0.964
81-101	-5.143	-36.426	26.14	1
82-101	0.857	-30.426	32.14	1
84-101	-11.143	-34.605	12.32	0.996
85-101	-5.643	-23.984	12.699	1
86-101	-5.143	-19.89	9.604	1
87-101	-5.571	-21.213	10.07	1
88-101	-5.143	-20.784	10.499	1
90-101	-5.643	-20.064	8.778	1
91-101	-4.143	-21.277	12.992	1
92-101	0.024	-16.257	16.304	1
94-101	-3.393	-18.538	11.752	1
95-101	-1.143	-15.291	13.006	1
96-101	4.457	-12.677	21.592	1
97-101	2.274	-11.643	16.191	1
98-101	5.257	-11.877	22.392	1
103-102	-4	-30.713	22.713	1
105-102	-19	-52.79	14.79	0.954
106-102	-5	-31.713	21.713	1
107-102	5	-18.893	28.893	1
108-102	-5	-38.79	28.79	1
109-102	1.5	-25.213	28.213	1
111-102	-1.5	-23.85	20.85	1
112-102	-14	-47.79	19.79	1
115-102	5.5	-16.85	27.85	1
68-102	-14.75	-37.1	7.6	0.781
70-102	-8	-31.893	15.893	1
72-102	-16	-49.79	17.79	0.996
73-102	-21	-54.79	12.79	0.869
75-102	-13.6	-34.971	7.771	0.838
77-102	-9.25	-31.6	13.1	1
78-102	-11	-34.893	12.893	0.997
79-102	-12.333	-36.226	11.56	0.985
80-102	-13	-36.893	10.893	0.97
81-102	-7	-40.79	26.79	1
82-102	-1	-34.79	32.79	1
84-102	-13	-39.713	13.713	0.994
85-102	-7.5	-29.85	14.85	1
86-102	-7	-26.509	12.509	1
87-102	-7.429	-27.622	12.765	1
88-102	-7	-27.193	13.193	1
90-102	-7.5	-26.763	11.763	1
91-102	-6	-27.371	15.371	1
92-102	-1.833	-22.525	18.859	1
94-102	-5.25	-25.061	14.561	1
95-102	-3	-22.06	16.06	1
96-102	2.6	-18.771	23.971	1
97-102	0.417	-18.472	19.306	1
98-102	3.4	-17.971	24.771	1
105-103	-15	-50.839	20.839	1
106-103	-1	-30.263	28.263	1
107-103	9	-17.713	35.713	1
108-103	-1	-36.839	34.839	1
109-103	5.5	-23.763	34.763	1
111-103	2.5	-22.842	27.842	1
112-103	-10	-45.839	25.839	1
115-103	9.5	-15.842	34.842	1
68-103	-10.75	-36.092	14.592	0.999
70-103	-4	-30.713	22.713	1
72-103	-12	-47.839	23.839	1
73-103	-17	-52.839	18.839	0.996
75-103	-9.6	-34.083	14.883	1
77-103	-5.25	-30.592	20.092	1
78-103	-7	-33.713	19.713	1
79-103	-8.333	-35.046	18.38	1
80-103	-9	-35.713	17.713	1
81-103	-3	-38.839	32.839	1
82-103	3	-32.839	38.839	1
84-103	-9	-38.263	20.263	1
85-103	-3.5	-28.842	21.842	1
86-103	-3	-25.876	19.876	1
87-103	-3.429	-26.891	20.034	1
88-103	-3	-26.462	20.462	1
90-103	-3.5	-26.167	19.167	1
91-103	-2	-26.483	22.483	1
92-103	2.167	-21.726	26.06	1
94-103	-1.25	-24.384	21.884	1
95-103	1	-21.494	23.494	1
96-103	6.6	-17.883	31.083	1
97-103	4.417	-17.933	26.766	1
98-103	7.4	-17.083	31.883	1
106-105	14	-21.839	49.839	1
107-105	24	-9.79	57.79	0.637
108-105	14	-27.384	55.384	1
109-105	20.5	-15.339	56.339	0.944
111-105	17.5	-15.217	50.217	0.976
112-105	5	-36.384	46.384	1
115-105	24.5	-8.217	57.217	0.518
68-105	4.25	-28.467	36.967	1
70-105	11	-22.79	44.79	1
72-105	3	-38.384	44.384	1
73-105	-2	-43.384	39.384	1
75-105	5.4	-26.656	37.456	1
77-105	9.75	-22.967	42.467	1
78-105	8	-25.79	41.79	1
79-105	6.667	-27.123	40.456	1
80-105	6	-27.79	39.79	1
81-105	12	-29.384	53.384	1
82-105	18	-23.384	59.384	0.999
84-105	6	-29.839	41.839	1
85-105	11.5	-21.217	44.217	1
86-105	12	-18.846	42.846	1
87-105	11.571	-19.712	42.855	1
88-105	12	-19.283	43.283	1
90-105	11.5	-19.191	42.191	1
91-105	13	-19.056	45.056	1
92-105	17.167	-14.441	48.774	0.97
94-105	13.75	-17.288	44.788	0.999
95-105	16	-14.564	46.564	0.982
96-105	21.6	-10.456	53.656	0.744
97-105	19.417	-11.041	49.874	0.835
98-105	22.4	-9.656	54.456	0.672
107-106	10	-16.713	36.713	1
108-106	0	-35.839	35.839	1
109-106	6.5	-22.763	35.763	1
111-106	3.5	-21.842	28.842	1
112-106	-9	-44.839	26.839	1
115-106	10.5	-14.842	35.842	1
68-106	-9.75	-35.092	15.592	1
70-106	-3	-29.713	23.713	1
72-106	-11	-46.839	24.839	1
73-106	-16	-51.839	19.839	0.999
75-106	-8.6	-33.083	15.883	1
77-106	-4.25	-29.592	21.092	1
78-106	-6	-32.713	20.713	1
79-106	-7.333	-34.046	19.38	1
80-106	-8	-34.713	18.713	1
81-106	-2	-37.839	33.839	1
82-106	4	-31.839	39.839	1
84-106	-8	-37.263	21.263	1
85-106	-2.5	-27.842	22.842	1
86-106	-2	-24.876	20.876	1
87-106	-2.429	-25.891	21.034	1
88-106	-2	-25.462	21.462	1
90-106	-2.5	-25.167	20.167	1
91-106	-1	-25.483	23.483	1
92-106	3.167	-20.726	27.06	1
94-106	-0.25	-23.384	22.884	1
95-106	2	-20.494	24.494	1
96-106	7.6	-16.883	32.083	1
97-106	5.417	-16.933	27.766	1
98-106	8.4	-16.083	32.883	1
108-107	-10	-43.79	23.79	1
109-107	-3.5	-30.213	23.213	1
111-107	-6.5	-28.85	15.85	1
112-107	-19	-52.79	14.79	0.954
115-107	0.5	-21.85	22.85	1
68-107	-19.75	-42.1	2.6	0.179
70-107	-13	-36.893	10.893	0.97
72-107	-21	-54.79	12.79	0.869
73-107	-26	-59.79	7.79	0.455
75-107	-18.6	-39.971	2.771	0.203
77-107	-14.25	-36.6	8.1	0.835
78-107	-16	-39.893	7.893	0.755
79-107	-17.333	-41.226	6.56	0.591
80-107	-18	-41.893	5.893	0.504
81-107	-12	-45.79	21.79	1
82-107	-6	-39.79	27.79	1
84-107	-18	-44.713	8.713	0.744
85-107	-12.5	-34.85	9.85	0.957
86-107	-12	-31.509	7.509	0.881
87-107	-12.429	-32.622	7.765	0.88
88-107	-12	-32.193	8.193	0.916
90-107	-12.5	-31.763	6.763	0.809
91-107	-11	-32.371	10.371	0.986
92-107	-6.833	-27.525	13.859	1
94-107	-10.25	-30.061	9.561	0.985
95-107	-8	-27.06	11.06	1
96-107	-2.4	-23.771	18.971	1
97-107	-4.583	-23.472	14.306	1
98-107	-1.6	-22.971	19.771	1
109-108	6.5	-29.339	42.339	1
111-108	3.5	-29.217	36.217	1
112-108	-9	-50.384	32.384	1
115-108	10.5	-22.217	43.217	1
68-108	-9.75	-42.467	22.967	1
70-108	-3	-36.79	30.79	1
72-108	-11	-52.384	30.384	1
73-108	-16	-57.384	25.384	1
75-108	-8.6	-40.656	23.456	1
77-108	-4.25	-36.967	28.467	1
78-108	-6	-39.79	27.79	1
79-108	-7.333	-41.123	26.456	1
80-108	-8	-41.79	25.79	1
81-108	-2	-43.384	39.384	1
82-108	4	-37.384	45.384	1
84-108	-8	-43.839	27.839	1
85-108	-2.5	-35.217	30.217	1
86-108	-2	-32.846	28.846	1
87-108	-2.429	-33.712	28.855	1
88-108	-2	-33.283	29.283	1
90-108	-2.5	-33.191	28.191	1
91-108	-1	-33.056	31.056	1
92-108	3.167	-28.441	34.774	1
94-108	-0.25	-31.288	30.788	1
95-108	2	-28.564	32.564	1
96-108	7.6	-24.456	39.656	1
97-108	5.417	-25.041	35.874	1
98-108	8.4	-23.656	40.456	1
111-109	-3	-28.342	22.342	1
112-109	-15.5	-51.339	20.339	0.999
115-109	4	-21.342	29.342	1
68-109	-16.25	-41.592	9.092	0.827
70-109	-9.5	-36.213	17.213	1
72-109	-17.5	-53.339	18.339	0.993
73-109	-22.5	-58.339	13.339	0.856
75-109	-15.1	-39.583	9.383	0.878
77-109	-10.75	-36.092	14.592	0.999
78-109	-12.5	-39.213	14.213	0.997
79-109	-13.833	-40.546	12.88	0.984
80-109	-14.5	-41.213	12.213	0.971
81-109	-8.5	-44.339	27.339	1
82-109	-2.5	-38.339	33.339	1
84-109	-14.5	-43.763	14.763	0.992
85-109	-9	-34.342	16.342	1
86-109	-8.5	-31.376	14.376	1
87-109	-8.929	-32.391	14.534	1
88-109	-8.5	-31.962	14.962	1
90-109	-9	-31.667	13.667	1
91-109	-7.5	-31.983	16.983	1
92-109	-3.333	-27.226	20.56	1
94-109	-6.75	-29.884	16.384	1
95-109	-4.5	-26.994	17.994	1
96-109	1.1	-23.383	25.583	1
97-109	-1.083	-23.433	21.266	1
98-109	1.9	-22.583	26.383	1
112-111	-12.5	-45.217	20.217	1
115-111	7	-13.692	27.692	1
68-111	-13.25	-33.942	7.442	0.829
70-111	-6.5	-28.85	15.85	1
72-111	-14.5	-47.217	18.217	0.999
73-111	-19.5	-52.217	13.217	0.913
75-111	-12.1	-31.73	7.53	0.878
77-111	-7.75	-28.442	12.942	1
78-111	-9.5	-31.85	12.85	0.999
79-111	-10.833	-33.183	11.516	0.994
80-111	-11.5	-33.85	10.85	0.986
81-111	-5.5	-38.217	27.217	1
82-111	0.5	-32.217	33.217	1
84-111	-11.5	-36.842	13.842	0.998
85-111	-6	-26.692	14.692	1
86-111	-5.5	-23.085	12.085	1
87-111	-5.929	-24.27	12.413	1
88-111	-5.5	-23.841	12.841	1
90-111	-6	-23.312	11.312	1
91-111	-4.5	-24.13	15.13	1
92-111	-0.333	-19.222	18.556	1
94-111	-3.75	-21.67	14.17	1
95-111	-1.5	-18.586	15.586	1
96-111	4.1	-15.53	23.73	1
97-111	1.917	-14.978	18.812	1
98-111	4.9	-14.73	24.53	1
115-112	19.5	-13.217	52.217	0.913
68-112	-0.75	-33.467	31.967	1
70-112	6	-27.79	39.79	1
72-112	-2	-43.384	39.384	1
73-112	-7	-48.384	34.384	1
75-112	0.4	-31.656	32.456	1
77-112	4.75	-27.967	37.467	1
78-112	3	-30.79	36.79	1
79-112	1.667	-32.123	35.456	1
80-112	1	-32.79	34.79	1
81-112	7	-34.384	48.384	1
82-112	13	-28.384	54.384	1
84-112	1	-34.839	36.839	1
85-112	6.5	-26.217	39.217	1
86-112	7	-23.846	37.846	1
87-112	6.571	-24.712	37.855	1
88-112	7	-24.283	38.283	1
90-112	6.5	-24.191	37.191	1
91-112	8	-24.056	40.056	1
92-112	12.167	-19.441	43.774	1
94-112	8.75	-22.288	39.788	1
95-112	11	-19.564	41.564	1
96-112	16.6	-15.456	48.656	0.984
97-112	14.417	-16.041	44.874	0.996
98-112	17.4	-14.656	49.456	0.971
68-115	-20.25	-40.942	0.442	0.065
70-115	-13.5	-35.85	8.85	0.9
72-115	-21.5	-54.217	11.217	0.788
73-115	-26.5	-59.217	6.217	0.341
75-115	-19.1	-38.73	0.53	0.069
77-115	-14.75	-35.442	5.942	0.63
78-115	-16.5	-38.85	5.85	0.551
79-115	-17.833	-40.183	4.516	0.373
80-115	-18.5	-40.85	3.85	0.296
81-115	-12.5	-45.217	20.217	1
82-115	-6.5	-39.217	26.217	1
84-115	-18.5	-43.842	6.842	0.577
85-115	-13	-33.692	7.692	0.855
86-115	-12.5	-30.085	5.085	0.636
87-115	-12.929	-31.27	5.413	0.654
88-115	-12.5	-30.841	5.841	0.723
90-115	-13	-30.312	4.312	0.512
91-115	-11.5	-31.13	8.13	0.927
92-115	-7.333	-26.222	11.556	1
94-115	-10.75	-28.67	7.17	0.907
95-115	-8.5	-25.586	8.586	0.991
96-115	-2.9	-22.53	16.73	1
97-115	-5.083	-21.978	11.812	1
98-115	-2.1	-21.73	17.53	1
70-68	6.75	-15.6	29.1	1
72-68	-1.25	-33.967	31.467	1
73-68	-6.25	-38.967	26.467	1
75-68	1.15	-18.48	20.78	1
77-68	5.5	-15.192	26.192	1
78-68	3.75	-18.6	26.1	1
79-68	2.417	-19.933	24.766	1
80-68	1.75	-20.6	24.1	1
81-68	7.75	-24.967	40.467	1
82-68	13.75	-18.967	46.467	1
84-68	1.75	-23.592	27.092	1
85-68	7.25	-13.442	27.942	1
86-68	7.75	-9.835	25.335	0.999
87-68	7.321	-11.02	25.663	1
88-68	7.75	-10.591	26.091	0.999
90-68	7.25	-10.062	24.562	1
91-68	8.75	-10.88	28.38	0.999
92-68	12.917	-5.972	31.806	0.716
94-68	9.5	-8.42	27.42	0.978
95-68	11.75	-5.336	28.836	0.705
96-68	17.35	-2.28	36.98	0.179
97-68	15.167	-1.728	32.062	0.156
98-68	18.15	-1.48	37.78	0.118
72-70	-8	-41.79	25.79	1
73-70	-13	-46.79	20.79	1
75-70	-5.6	-26.971	15.771	1
77-70	-1.25	-23.6	21.1	1
78-70	-3	-26.893	20.893	1
79-70	-4.333	-28.226	19.56	1
80-70	-5	-28.893	18.893	1
81-70	1	-32.79	34.79	1
82-70	7	-26.79	40.79	1
84-70	-5	-31.713	21.713	1
85-70	0.5	-21.85	22.85	1
86-70	1	-18.509	20.509	1
87-70	0.571	-19.622	20.765	1
88-70	1	-19.193	21.193	1
90-70	0.5	-18.763	19.763	1
91-70	2	-19.371	23.371	1
92-70	6.167	-14.525	26.859	1
94-70	2.75	-17.061	22.561	1
95-70	5	-14.06	24.06	1
96-70	10.6	-10.771	31.971	0.992
97-70	8.417	-10.472	27.306	0.999
98-70	11.4	-9.971	32.771	0.977
73-72	-5	-46.384	36.384	1
75-72	2.4	-29.656	34.456	1
77-72	6.75	-25.967	39.467	1
78-72	5	-28.79	38.79	1
79-72	3.667	-30.123	37.456	1
80-72	3	-30.79	36.79	1
81-72	9	-32.384	50.384	1
82-72	15	-26.384	56.384	1
84-72	3	-32.839	38.839	1
85-72	8.5	-24.217	41.217	1
86-72	9	-21.846	39.846	1
87-72	8.571	-22.712	39.855	1
88-72	9	-22.283	40.283	1
90-72	8.5	-22.191	39.191	1
91-72	10	-22.056	42.056	1
92-72	14.167	-17.441	45.774	0.998
94-72	10.75	-20.288	41.788	1
95-72	13	-17.564	43.564	0.999
96-72	18.6	-13.456	50.656	0.935
97-72	16.417	-14.041	46.874	0.973
98-72	19.4	-12.656	51.456	0.898
75-73	7.4	-24.656	39.456	1
77-73	11.75	-20.967	44.467	1
78-73	10	-23.79	43.79	1
79-73	8.667	-25.123	42.456	1
80-73	8	-25.79	41.79	1
81-73	14	-27.384	55.384	1
82-73	20	-21.384	61.384	0.994
84-73	8	-27.839	43.839	1
85-73	13.5	-19.217	46.217	1
86-73	14	-16.846	44.846	0.998
87-73	13.571	-17.712	44.855	0.999
88-73	14	-17.283	45.283	0.998
90-73	13.5	-17.191	44.191	0.999
91-73	15	-17.056	47.056	0.997
92-73	19.167	-12.441	50.774	0.896
94-73	15.75	-15.288	46.788	0.988
95-73	18	-12.564	48.564	0.923
96-73	23.6	-8.456	55.656	0.557
97-73	21.417	-9.041	51.874	0.659
98-73	24.4	-7.656	56.456	0.48
77-75	4.35	-15.28	23.98	1
78-75	2.6	-18.771	23.971	1
79-75	1.267	-20.104	22.637	1
80-75	0.6	-20.771	21.971	1
81-75	6.6	-25.456	38.656	1
82-75	12.6	-19.456	44.656	1
84-75	0.6	-23.883	25.083	1
85-75	6.1	-13.53	25.73	1
86-75	6.6	-9.722	22.922	1
87-75	6.171	-10.963	23.306	1
88-75	6.6	-10.535	23.735	1
90-75	6.1	-9.928	22.128	1
91-75	7.6	-10.907	26.107	1
92-75	11.767	-5.953	29.486	0.77
94-75	8.35	-8.332	25.032	0.99
95-75	10.6	-5.183	26.383	0.75
96-75	16.2	-2.307	34.707	0.194
97-75	14.017	-1.56	29.593	0.153
98-75	17	-1.507	35.507	0.126
78-77	-1.75	-24.1	20.6	1
79-77	-3.083	-25.433	19.266	1
80-77	-3.75	-26.1	18.6	1
81-77	2.25	-30.467	34.967	1
82-77	8.25	-24.467	40.967	1
84-77	-3.75	-29.092	21.592	1
85-77	1.75	-18.942	22.442	1
86-77	2.25	-15.335	19.835	1
87-77	1.821	-16.52	20.163	1
88-77	2.25	-16.091	20.591	1
90-77	1.75	-15.562	19.062	1
91-77	3.25	-16.38	22.88	1
92-77	7.417	-11.472	26.306	1
94-77	4	-13.92	21.92	1
95-77	6.25	-10.836	23.336	1
96-77	11.85	-7.78	31.48	0.901
97-77	9.667	-7.228	26.562	0.944
98-77	12.65	-6.98	32.28	0.819
79-78	-1.333	-25.226	22.56	1
80-78	-2	-25.893	21.893	1
81-78	4	-29.79	37.79	1
82-78	10	-23.79	43.79	1
84-78	-2	-28.713	24.713	1
85-78	3.5	-18.85	25.85	1
86-78	4	-15.509	23.509	1
87-78	3.571	-16.622	23.765	1
88-78	4	-16.193	24.193	1
90-78	3.5	-15.763	22.763	1
91-78	5	-16.371	26.371	1
92-78	9.167	-11.525	29.859	0.999
94-78	5.75	-14.061	25.561	1
95-78	8	-11.06	27.06	1
96-78	13.6	-7.771	34.971	0.838
97-78	11.417	-7.472	30.306	0.9
98-78	14.4	-6.971	35.771	0.744
80-79	-0.667	-24.56	23.226	1
81-79	5.333	-28.456	39.123	1
82-79	11.333	-22.456	45.123	1
84-79	-0.667	-27.38	26.046	1
85-79	4.833	-17.516	27.183	1
86-79	5.333	-14.175	24.842	1
87-79	4.905	-15.288	25.098	1
88-79	5.333	-14.86	25.527	1
90-79	4.833	-14.43	24.096	1
91-79	6.333	-15.037	27.704	1
92-79	10.5	-10.192	31.192	0.988
94-79	7.083	-12.728	26.894	1
95-79	9.333	-9.727	28.393	0.993
96-79	14.933	-6.437	36.304	0.672
97-79	12.75	-6.139	31.639	0.741
98-79	15.733	-5.637	37.104	0.557
81-80	6	-27.79	39.79	1
82-80	12	-21.79	45.79	1
84-80	0	-26.713	26.713	1
85-80	5.5	-16.85	27.85	1
86-80	6	-13.509	25.509	1
87-80	5.571	-14.622	25.765	1
88-80	6	-14.193	26.193	1
90-80	5.5	-13.763	24.763	1
91-80	7	-14.371	28.371	1
92-80	11.167	-9.525	31.859	0.973
94-80	7.75	-12.061	27.561	1
95-80	10	-9.06	29.06	0.981
96-80	15.6	-5.771	36.971	0.577
97-80	13.417	-5.472	32.306	0.637
98-80	16.4	-4.971	37.771	0.462
82-81	6	-35.384	47.384	1
84-81	-6	-41.839	29.839	1
85-81	-0.5	-33.217	32.217	1
86-81	0	-30.846	30.846	1
87-81	-0.429	-31.712	30.855	1
88-81	0	-31.283	31.283	1
90-81	-0.5	-31.191	30.191	1
91-81	1	-31.056	33.056	1
92-81	5.167	-26.441	36.774	1
94-81	1.75	-29.288	32.788	1
95-81	4	-26.564	34.564	1
96-81	9.6	-22.456	41.656	1
97-81	7.417	-23.041	37.874	1
98-81	10.4	-21.656	42.456	1
84-82	-12	-47.839	23.839	1
85-82	-6.5	-39.217	26.217	1
86-82	-6	-36.846	24.846	1
87-82	-6.429	-37.712	24.855	1
88-82	-6	-37.283	25.283	1
90-82	-6.5	-37.191	24.191	1
91-82	-5	-37.056	27.056	1
92-82	-0.833	-32.441	30.774	1
94-82	-4.25	-35.288	26.788	1
95-82	-2	-32.564	28.564	1
96-82	3.6	-28.456	35.656	1
97-82	1.417	-29.041	31.874	1
98-82	4.4	-27.656	36.456	1
85-84	5.5	-19.842	30.842	1
86-84	6	-16.876	28.876	1
87-84	5.571	-17.891	29.034	1
88-84	6	-17.462	29.462	1
90-84	5.5	-17.167	28.167	1
91-84	7	-17.483	31.483	1
92-84	11.167	-12.726	35.06	0.997
94-84	7.75	-15.384	30.884	1
95-84	10	-12.494	32.494	0.999
96-84	15.6	-8.883	40.083	0.836
97-84	13.417	-8.933	35.766	0.906
98-84	16.4	-8.083	40.883	0.755
86-85	0.5	-17.085	18.085	1
87-85	0.071	-18.27	18.413	1
88-85	0.5	-17.841	18.841	1
90-85	0	-17.312	17.312	1
91-85	1.5	-18.13	21.13	1
92-85	5.667	-13.222	24.556	1
94-85	2.25	-15.67	20.17	1
95-85	4.5	-12.586	21.586	1
96-85	10.1	-9.53	29.73	0.986
97-85	7.917	-8.978	24.812	0.997
98-85	10.9	-8.73	30.53	0.961
87-86	-0.429	-15.176	14.318	1
88-86	0	-14.747	14.747	1
90-86	-0.5	-13.945	12.945	1
91-86	1	-15.322	17.322	1
92-86	5.167	-10.256	20.59	1
94-86	1.75	-12.469	15.969	1
95-86	4	-9.153	17.153	1
96-86	9.6	-6.722	25.922	0.924
97-86	7.417	-5.487	20.32	0.941
98-86	10.4	-5.922	26.722	0.836
88-87	0.429	-15.213	16.07	1
90-87	-0.071	-14.492	14.349	1
91-87	1.429	-15.706	18.563	1
92-87	5.595	-10.685	21.876	1
94-87	2.179	-12.966	17.324	1
95-87	4.429	-9.72	18.577	1
96-87	10.029	-7.106	27.163	0.928
97-87	7.845	-6.072	21.762	0.953
98-87	10.829	-6.306	27.963	0.847
90-88	-0.5	-14.921	13.921	1
91-88	1	-16.135	18.135	1
92-88	5.167	-11.114	21.447	1
94-88	1.75	-13.395	16.895	1
95-88	4	-10.148	18.148	1
96-88	9.6	-7.535	26.735	0.956
97-88	7.417	-6.501	21.334	0.977
98-88	10.4	-6.735	27.535	0.895
91-90	1.5	-14.528	17.528	1
92-90	5.667	-9.445	20.778	1
94-90	2.25	-11.631	16.131	1
95-90	4.5	-8.286	17.286	1
96-90	10.1	-5.928	26.128	0.851
97-90	7.917	-4.613	20.446	0.847
98-90	10.9	-5.128	26.928	0.727
92-91	4.167	-13.553	21.886	1
94-91	0.75	-15.932	17.432	1
95-91	3	-12.783	18.783	1
96-91	8.6	-9.907	27.107	0.997
97-91	6.417	-9.16	21.993	1
98-91	9.4	-9.107	27.907	0.988
94-92	-3.417	-19.22	12.387	1
95-92	-1.167	-16.018	13.685	1
96-92	4.433	-13.286	22.153	1
97-92	2.25	-12.381	16.881	1
98-92	5.233	-12.486	22.953	1
95-94	2.25	-11.347	15.847	1
96-94	7.85	-8.832	24.532	0.996
97-94	5.667	-7.69	19.023	0.999
98-94	8.65	-8.032	25.332	0.984
96-95	5.6	-10.183	21.383	1
97-95	3.417	-8.798	15.632	1
98-95	6.4	-9.383	22.183	1
97-96	-2.183	-17.76	13.393	1
98-96	0.8	-17.707	19.307	1
98-97	2.983	-12.593	18.56	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	35	0.871	0.673
	117

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260885242tq5vtzi607vbyka/3m4w81260885058.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260885242tq5vtzi607vbyka/3m4w81260885058.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260885242tq5vtzi607vbyka/4wqyd1260885058.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/15/t1260885242tq5vtzi607vbyka/4wqyd1260885058.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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