Home » date » 2009 » Dec » 03 »

mother IQ and 30 month IQ

*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: Thu, 03 Dec 2009 14:49:41 +0100

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/03/t1259848291uvuc3cblyfo1ocs.htm/, Retrieved Thu, 03 Dec 2009 14:51:32 +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/03/t1259848291uvuc3cblyfo1ocs.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 36 36 36 56 56 48 48 32 32 44 44 39 39 34 34 41 41 50 50 39 39 62 62 52 52 37 37 50 50 41 41 55 55 41 41 56 56 39 39 52 52 46 46 44 44 48 48 41 41 50 50 50 50 44 44 52 52 54 54 44 44 52 52 37 37 52 52 50 50 36 36 50 50 52 52 55 55 31 31 36 36 49 49 42 42 37 37 41 41 30 30 52 52 30 30 41 41 44 44 66 66 48 48 43 43 57 57 46 46 54 54 48 48 48 48 52 52 62 62 58 58 58 58 62 62 48 48 46 46 34 34 66 66 52 52 55 55 55 55 57 57 56 56 55 55 56 56 54 54 55 55 46 46 52 52 32 32 44 44 46 46 59 59 46 46 46 46 54 54 66 66 56 56 59 59 57 57 52 52 48 48 44 44 41 41 50 50 48 48 48 48 59 59 34 34 46 46 54 54 55 55 54 54 59 59 44 44 54 54 52 52 66 66 44 44 57 57 39 39 60 60 45 45 41 41 50 50 39 39 43 43 48 48 37 37 58 58 46 46 43 43 44 44 34 34 30 30 50 50 39 39 37 37 55 55 48 48 41 41 39 39 36 36 43 43 50 50 55 55 43 43 60 60 48 48 30 30 43 43 39 39 52 52 39 39 39 39 56 56 59 59 46 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	4 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

ANOVA Model
30monthIQ ~ MUMIQ
means	30	1	2	4	6	7	9	11	12	13	14	15	16	18	19	20	21	22	24	25	26	27	28	29	30	32	36

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
MUMIQ	26	11417.975	439.153	2.52716011192561e+31	0
Residuals	133	0	0

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
31-30	1	1	1	0
32-30	2	2	2	0
34-30	4	4	4	0
36-30	6	6	6	0
37-30	7	7	7	0
39-30	9	9	9	0
41-30	11	11	11	0
42-30	12	12	12	0
43-30	13	13	13	0
44-30	14	14	14	0
45-30	15	15	15	0
46-30	16	16	16	0
48-30	18	18	18	0
49-30	19	19	19	0
50-30	20	20	20	0
51-30	21	21	21	0
52-30	22	22	22	0
54-30	24	24	24	0
55-30	25	25	25	0
56-30	26	26	26	0
57-30	27	27	27	0
58-30	28	28	28	0
59-30	29	29	29	0
60-30	30	30	30	0
62-30	32	32	32	0
66-30	36	36	36	0
32-31	1	1	1	0
34-31	3	3	3	0
36-31	5	5	5	0
37-31	6	6	6	0
39-31	8	8	8	0
41-31	10	10	10	0
42-31	11	11	11	0
43-31	12	12	12	0
44-31	13	13	13	0
45-31	14	14	14	0
46-31	15	15	15	0
48-31	17	17	17	0
49-31	18	18	18	0
50-31	19	19	19	0
51-31	20	20	20	0
52-31	21	21	21	0
54-31	23	23	23	0
55-31	24	24	24	0
56-31	25	25	25	0
57-31	26	26	26	0
58-31	27	27	27	0
59-31	28	28	28	0
60-31	29	29	29	0
62-31	31	31	31	0
66-31	35	35	35	0
34-32	2	2	2	0
36-32	4	4	4	0
37-32	5	5	5	0
39-32	7	7	7	0
41-32	9	9	9	0
42-32	10	10	10	0
43-32	11	11	11	0
44-32	12	12	12	0
45-32	13	13	13	0
46-32	14	14	14	0
48-32	16	16	16	0
49-32	17	17	17	0
50-32	18	18	18	0
51-32	19	19	19	0
52-32	20	20	20	0
54-32	22	22	22	0
55-32	23	23	23	0
56-32	24	24	24	0
57-32	25	25	25	0
58-32	26	26	26	0
59-32	27	27	27	0
60-32	28	28	28	0
62-32	30	30	30	0
66-32	34	34	34	0
36-34	2	2	2	0
37-34	3	3	3	0
39-34	5	5	5	0
41-34	7	7	7	0
42-34	8	8	8	0
43-34	9	9	9	0
44-34	10	10	10	0
45-34	11	11	11	0
46-34	12	12	12	0
48-34	14	14	14	0
49-34	15	15	15	0
50-34	16	16	16	0
51-34	17	17	17	0
52-34	18	18	18	0
54-34	20	20	20	0
55-34	21	21	21	0
56-34	22	22	22	0
57-34	23	23	23	0
58-34	24	24	24	0
59-34	25	25	25	0
60-34	26	26	26	0
62-34	28	28	28	0
66-34	32	32	32	0
37-36	1	1	1	0
39-36	3	3	3	0
41-36	5	5	5	0
42-36	6	6	6	0
43-36	7	7	7	0
44-36	8	8	8	0
45-36	9	9	9	0
46-36	10	10	10	0
48-36	12	12	12	0
49-36	13	13	13	0
50-36	14	14	14	0
51-36	15	15	15	0
52-36	16	16	16	0
54-36	18	18	18	0
55-36	19	19	19	0
56-36	20	20	20	0
57-36	21	21	21	0
58-36	22	22	22	0
59-36	23	23	23	0
60-36	24	24	24	0
62-36	26	26	26	0
66-36	30	30	30	0
39-37	2	2	2	0
41-37	4	4	4	0
42-37	5	5	5	0
43-37	6	6	6	0
44-37	7	7	7	0
45-37	8	8	8	0
46-37	9	9	9	0
48-37	11	11	11	0
49-37	12	12	12	0
50-37	13	13	13	0
51-37	14	14	14	0
52-37	15	15	15	0
54-37	17	17	17	0
55-37	18	18	18	0
56-37	19	19	19	0
57-37	20	20	20	0
58-37	21	21	21	0
59-37	22	22	22	0
60-37	23	23	23	0
62-37	25	25	25	0
66-37	29	29	29	0
41-39	2	2	2	0
42-39	3	3	3	0
43-39	4	4	4	0
44-39	5	5	5	0
45-39	6	6	6	0
46-39	7	7	7	0
48-39	9	9	9	0
49-39	10	10	10	0
50-39	11	11	11	0
51-39	12	12	12	0
52-39	13	13	13	0
54-39	15	15	15	0
55-39	16	16	16	0
56-39	17	17	17	0
57-39	18	18	18	0
58-39	19	19	19	0
59-39	20	20	20	0
60-39	21	21	21	0
62-39	23	23	23	0
66-39	27	27	27	0
42-41	1	1	1	0
43-41	2	2	2	0
44-41	3	3	3	0
45-41	4	4	4	0
46-41	5	5	5	0
48-41	7	7	7	0
49-41	8	8	8	0
50-41	9	9	9	0
51-41	10	10	10	0
52-41	11	11	11	0
54-41	13	13	13	0
55-41	14	14	14	0
56-41	15	15	15	0
57-41	16	16	16	0
58-41	17	17	17	0
59-41	18	18	18	0
60-41	19	19	19	0
62-41	21	21	21	0
66-41	25	25	25	0
43-42	1	1	1	0
44-42	2	2	2	0
45-42	3	3	3	0
46-42	4	4	4	0
48-42	6	6	6	0
49-42	7	7	7	0
50-42	8	8	8	0
51-42	9	9	9	0
52-42	10	10	10	0
54-42	12	12	12	0
55-42	13	13	13	0
56-42	14	14	14	0
57-42	15	15	15	0
58-42	16	16	16	0
59-42	17	17	17	0
60-42	18	18	18	0
62-42	20	20	20	0
66-42	24	24	24	0
44-43	1	1	1	0
45-43	2	2	2	0
46-43	3	3	3	0
48-43	5	5	5	0
49-43	6	6	6	0
50-43	7	7	7	0
51-43	8	8	8	0
52-43	9	9	9	0
54-43	11	11	11	0
55-43	12	12	12	0
56-43	13	13	13	0
57-43	14	14	14	0
58-43	15	15	15	0
59-43	16	16	16	0
60-43	17	17	17	0
62-43	19	19	19	0
66-43	23	23	23	0
45-44	1	1	1	0
46-44	2	2	2	0
48-44	4	4	4	0
49-44	5	5	5	0
50-44	6	6	6	0
51-44	7	7	7	0
52-44	8	8	8	0
54-44	10	10	10	0
55-44	11	11	11	0
56-44	12	12	12	0
57-44	13	13	13	0
58-44	14	14	14	0
59-44	15	15	15	0
60-44	16	16	16	0
62-44	18	18	18	0
66-44	22	22	22	0
46-45	1	1	1	0
48-45	3	3	3	0
49-45	4	4	4	0
50-45	5	5	5	0
51-45	6	6	6	0
52-45	7	7	7	0
54-45	9	9	9	0
55-45	10	10	10	0
56-45	11	11	11	0
57-45	12	12	12	0
58-45	13	13	13	0
59-45	14	14	14	0
60-45	15	15	15	0
62-45	17	17	17	0
66-45	21	21	21	0
48-46	2	2	2	0
49-46	3	3	3	0
50-46	4	4	4	0
51-46	5	5	5	0
52-46	6	6	6	0
54-46	8	8	8	0
55-46	9	9	9	0
56-46	10	10	10	0
57-46	11	11	11	0
58-46	12	12	12	0
59-46	13	13	13	0
60-46	14	14	14	0
62-46	16	16	16	0
66-46	20	20	20	0
49-48	1	1	1	0
50-48	2	2	2	0
51-48	3	3	3	0
52-48	4	4	4	0
54-48	6	6	6	0
55-48	7	7	7	0
56-48	8	8	8	0
57-48	9	9	9	0
58-48	10	10	10	0
59-48	11	11	11	0
60-48	12	12	12	0
62-48	14	14	14	0
66-48	18	18	18	0
50-49	1	1	1	0
51-49	2	2	2	0
52-49	3	3	3	0
54-49	5	5	5	0
55-49	6	6	6	0
56-49	7	7	7	0
57-49	8	8	8	0
58-49	9	9	9	0
59-49	10	10	10	0
60-49	11	11	11	0
62-49	13	13	13	0
66-49	17	17	17	0
51-50	1	1	1	0
52-50	2	2	2	0
54-50	4	4	4	0
55-50	5	5	5	0
56-50	6	6	6	0
57-50	7	7	7	0
58-50	8	8	8	0
59-50	9	9	9	0
60-50	10	10	10	0
62-50	12	12	12	0
66-50	16	16	16	0
52-51	1	1	1	0
54-51	3	3	3	0
55-51	4	4	4	0
56-51	5	5	5	0
57-51	6	6	6	0
58-51	7	7	7	0
59-51	8	8	8	0
60-51	9	9	9	0
62-51	11	11	11	0
66-51	15	15	15	0
54-52	2	2	2	0
55-52	3	3	3	0
56-52	4	4	4	0
57-52	5	5	5	0
58-52	6	6	6	0
59-52	7	7	7	0
60-52	8	8	8	0
62-52	10	10	10	0
66-52	14	14	14	0
55-54	1	1	1	0
56-54	2	2	2	0
57-54	3	3	3	0
58-54	4	4	4	0
59-54	5	5	5	0
60-54	6	6	6	0
62-54	8	8	8	0
66-54	12	12	12	0
56-55	1	1	1	0
57-55	2	2	2	0
58-55	3	3	3	0
59-55	4	4	4	0
60-55	5	5	5	0
62-55	7	7	7	0
66-55	11	11	11	0
57-56	1	1	1	0
58-56	2	2	2	0
59-56	3	3	3	0
60-56	4	4	4	0
62-56	6	6	6	0
66-56	10	10	10	0
58-57	1	1	1	0
59-57	2	2	2	0
60-57	3	3	3	0
62-57	5	5	5	0
66-57	9	9	9	0
59-58	1	1	1	0
60-58	2	2	2	0
62-58	4	4	4	0
66-58	8	8	8	0
60-59	1	1	1	0
62-59	3	3	3	0
66-59	7	7	7	0
62-60	2	2	2	0
66-60	6	6	6	0
66-62	4	4	4	0

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

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Dec/03/t1259848291uvuc3cblyfo1ocs/38knh1259848176.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/03/t1259848291uvuc3cblyfo1ocs/38knh1259848176.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/03/t1259848291uvuc3cblyfo1ocs/4h7e81259848176.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Dec/03/t1259848291uvuc3cblyfo1ocs/4h7e81259848176.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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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.

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