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Description of Statistical Computation

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, 01 Nov 2010 18:54:11 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/01/t1288637589ke7ck8fvgulau5b.htm/, Retrieved Mon, 29 Apr 2024 13:16:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=91049, Retrieved Mon, 29 Apr 2024 13:16:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [Golfballs] [2010-10-25 12:43:22] [b98453cac15ba1066b407e146608df68]
- RMPD  [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-10-30 12:48:21] [39e83c7b0ac936e906a817a1bb402750]
-   PD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [W5 Q6 T] [2010-11-01 18:54:11] [cda497ce08bc921f0aec22acd67c882b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	'post1'
1	'post1'
1	'post1'
0	'post1'
1	'post1'
1	'post1'
1	'post1'
1	'post1'
1	'post1'
1	'post1'
0	'post1'
1	'post1'
1	'post1'
1	'post1'
0	'post1'
1	'post1'
1	'post1'
1	'post1'
1	'post1'
0	'post1'
1	'post1'
1	'post1'
0	'post1'
0	'post1'
1	'post1'
0	'post1'
1	'post1'
0	'post1'
0	'post1'
1	'post1'
0	'post1'
1	'post1'
0	'post1'
0	'post1'
0	'post1'
1	'post1'
1	'post1'
0	'post3'
0	'post3'
1	'post3'
0	'post3'
1	'post3'
1	'post3'
1	'post3'
1	'post3'
1	'post3'
0	'post3'
0	'post3'
1	'post3'
1	'post3'
0	'post3'
NA	'post3'
1	'post3'
0	'post3'
1	'post3'
1	'post3'
1	'post3'
1	'post3'
0	'post3'
NA	'post3'
NA	'post3'
1	'post3'
1	'post3'
NA	'post3'
NA	'post3'
0	'post3'
1	'post3'
0	'post3'
0	'post3'
1	'post3'
NA	'post3'
1	'post3'
NA	'post3'
0	'post3'
1	'pre'
1	'pre'
0	'pre'
0	'pre'
1	'pre'
1	'pre'
1	'pre'
0	'pre'
0	'pre'
1	'pre'
0	'pre'
0	'pre'
0	'pre'
0	'pre'
0	'pre'
1	'pre'
1	'pre'
1	'pre'
0	'pre'
0	'pre'
1	'pre'
1	'pre'
0	'pre'
1	'pre'
1	'pre'
1	'pre'
1	'pre'
0	'pre'
0	'pre'
1	'pre'
1	'pre'
1	'pre'
0	'pre'
0	'pre'
0	'pre'
1	'pre'
1	'pre'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91049&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91049&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91049&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






ANOVA Model
Score ~ Test
means0.649-0.049-0.108

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
Score  ~  Test \tabularnewline
means & 0.649 & -0.049 & -0.108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91049&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]Score  ~  Test[/C][/ROW]
[ROW][C]means[/C][C]0.649[/C][C]-0.049[/C][C]-0.108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91049&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91049&T=1

As an alternative you can also use a QR Code:  
QR Code


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

ANOVA Model
Score ~ Test
means0.649-0.049-0.108






ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Test20.2170.1080.4410.645
Residuals10124.8220.246 

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
Test & 2 & 0.217 & 0.108 & 0.441 & 0.645 \tabularnewline
Residuals & 101 & 24.822 & 0.246 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91049&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]Test[/C][C]2[/C][C]0.217[/C][C]0.108[/C][C]0.441[/C][C]0.645[/C][/ROW]
[ROW][C]Residuals[/C][C]101[/C][C]24.822[/C][C]0.246[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91049&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91049&T=2

As an alternative you can also use a QR Code:  
QR Code


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

ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Test20.2170.1080.4410.645
Residuals10124.8220.246






Tukey Honest Significant Difference Comparisons
difflwruprp adj
post3-post1-0.049-0.3380.2410.916
pre-post1-0.108-0.3820.1660.618
pre-post3-0.059-0.3490.230.877

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
post3-post1 & -0.049 & -0.338 & 0.241 & 0.916 \tabularnewline
pre-post1 & -0.108 & -0.382 & 0.166 & 0.618 \tabularnewline
pre-post3 & -0.059 & -0.349 & 0.23 & 0.877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91049&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]post3-post1[/C][C]-0.049[/C][C]-0.338[/C][C]0.241[/C][C]0.916[/C][/ROW]
[ROW][C]pre-post1[/C][C]-0.108[/C][C]-0.382[/C][C]0.166[/C][C]0.618[/C][/ROW]
[ROW][C]pre-post3[/C][C]-0.059[/C][C]-0.349[/C][C]0.23[/C][C]0.877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91049&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91049&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Tukey Honest Significant Difference Comparisons
difflwruprp adj
post3-post1-0.049-0.3380.2410.916
pre-post1-0.108-0.3820.1660.618
pre-post3-0.059-0.3490.230.877






Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group20.4410.645
101 

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 2 & 0.441 & 0.645 \tabularnewline
  & 101 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91049&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]0.441[/C][C]0.645[/C][/ROW]
[ROW][C] [/C][C]101[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91049&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91049&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group20.4410.645
101


Figures (Output of Computation)

Input Parameters & R Code

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()
}
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')