## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_One Factor ANOVA.wasp
Title produced by softwareOne-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computationMon, 05 Nov 2012 10:44:46 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/05/t1352130319nouirgk3rj8kdbr.htm/, Retrieved Wed, 01 Feb 2023 14:47:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=186119, Retrieved Wed, 01 Feb 2023 14:47:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS 5- Mother's verbal IQ+ School Year 7
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5- Mother's ve...] [2012-11-05 15:30:05] [a5a2ea04bfa02a7aadf0709e997235c3]
-    D              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5- Mother's ve...] [2012-11-05 15:44:46] [37c1464fbbe0b4c983d3400957aa59ac] [Current]
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Dataseries X:
88	2
94	2
90	3
73	1
68	1
80	2
86	2
86	1
91	3
79	1
96	3
92	2
72	1
96	2
70	2
86	2
87	1
88	3
79	2
90	1
95	1
85	1
90	2
115	3
84	2
79	2
94	2
97	2
86	2
111	3
87	2
98	2
87	2
68	1
88	2
82	2
111	3
75	1
94	2
95	1
80	2
95	3
68	2
94	2
88	3
84	1
101	2
98	2
78	1
109	3
102	1
81	1
97	1
75	2
97	2
101	1
101	1
95	2
95	2
95	2
90	1
107	3
92	2
86	1
70	1
95	2
96	2
91	2
87	3
92	2
97	2
102	3
91	1
68	2
88	1
97	2
90	1
101	2
94	2
101	3
109	3
100	2
103	2
94	2
97	2
85	2
75	2
77	1
87	1
78	1
108	3
97	2
105	2
106	2
107	2
95	1
107	2
115	2
101	2
85	1
90	2
115	3
95	2
97	1
112	1
97	1
77	1
90	2
94	2
103	3
77	2
98	2
90	2
111	3
77	1
88	3
75	1
92	2
78	2
106	2
80	1
87	2
92	1
111	3
86	2
85	2
90	1
101	3
94	2
86	1
86	1
90	1
75	1
86	2
91	3
97	2
91	2
70	1
98	2
96	1
95	1
100	2
95	1
97	2
97	1
92	3
115	3
88	3
87	2
100	2
98	2
102	1
96	1


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'George Udny Yule' @ yule.wessa.net R Framework error message The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186119&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186119&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186119&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'George Udny Yule' @ yule.wessa.net R Framework error message The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

 ANOVA Model WISCRY7V ~ MVRBIQ0 means 86.78 4.986 14.105

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
WISCRY7V  ~  MVRBIQ0

\tabularnewline
means & 86.78 & 4.986 & 14.105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186119&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]WISCRY7V  ~  MVRBIQ0

[/C][/ROW]
[ROW][C]means[/C][C]86.78[/C][C]4.986[/C][C]14.105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186119&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186119&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 ANOVA Model WISCRY7V ~ MVRBIQ0 means 86.78 4.986 14.105

 ANOVA Statistics Df Sum Sq Mean Sq F value Pr(>F) MVRBIQ0 2 3403.915 1701.958 17.987 0 Residuals 150 14193.026 94.62

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
& Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MVRBIQ0

& 2 & 3403.915 & 1701.958 & 17.987 & 0 \tabularnewline
Residuals & 150 & 14193.026 & 94.62 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186119&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]MVRBIQ0

[/C][C]2[/C][C]3403.915[/C][C]1701.958[/C][C]17.987[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]150[/C][C]14193.026[/C][C]94.62[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186119&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186119&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 ANOVA Statistics Df Sum Sq Mean Sq F value Pr(>F) MVRBIQ0 2 3403.915 1701.958 17.987 0 Residuals 150 14193.026 94.62

 Tukey Honest Significant Difference Comparisons diff lwr upr p adj 2-1 4.986 0.804 9.168 0.015 3-1 14.105 8.537 19.672 0 3-2 9.118 3.895 14.341 0

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
& diff & lwr & upr & p adj \tabularnewline
2-1 & 4.986 & 0.804 & 9.168 & 0.015 \tabularnewline
3-1 & 14.105 & 8.537 & 19.672 & 0 \tabularnewline
3-2 & 9.118 & 3.895 & 14.341 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186119&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C]2-1[/C][C]4.986[/C][C]0.804[/C][C]9.168[/C][C]0.015[/C][/ROW]
[ROW][C]3-1[/C][C]14.105[/C][C]8.537[/C][C]19.672[/C][C]0[/C][/ROW]
[ROW][C]3-2[/C][C]9.118[/C][C]3.895[/C][C]14.341[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186119&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186119&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Tukey Honest Significant Difference Comparisons diff lwr upr p adj 2-1 4.986 0.804 9.168 0.015 3-1 14.105 8.537 19.672 0 3-2 9.118 3.895 14.341 0

 Levenes Test for Homogeneity of Variance Df F value Pr(>F) Group 2 1.489 0.229 150

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
& Df & F value & Pr(>F) \tabularnewline
Group & 2 & 1.489 & 0.229 \tabularnewline
& 150 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186119&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]2[/C][C]1.489[/C][C]0.229[/C][/ROW]
[ROW][C] [/C][C]150[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186119&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186119&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Levenes Test for Homogeneity of Variance Df F value Pr(>F) Group 2 1.489 0.229 150

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()}if(intercept==TRUE){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')