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Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1dm.wasp

Title produced by software

Notched Boxplots

Date of computation

Tue, 01 May 2012 06:32:09 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/01/t1335868352embu79gyfbq8otm.htm/, Retrieved Sat, 04 May 2024 06:43:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165407, Retrieved Sat, 04 May 2024 06:43:04 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Notched Boxplots] [BA 1] [2012-05-01 10:28:30] [d47233a2cd9f9635ad611b5f9ecd3f2f]
-   P     [Notched Boxplots] [BA 2] [2012-05-01 10:32:09] [903eb31f4cd74f994cd3b58d73d9cda7] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165407&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165407&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165407&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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
A1	3	4	4	5	5
A2	1	2	3	4	5
A3	3	4	4	5	5
A4	1	2	3	4	5
A5	1	3	4	5	5
A6	3	4	4	5	5
A7	2	3	4	4	5
A8	4	4	4	4.5	5
A9	1	2	3	3	4
A10	3	4	4	5	5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
A1 & 3 & 4 & 4 & 5 & 5 \tabularnewline
A2 & 1 & 2 & 3 & 4 & 5 \tabularnewline
A3 & 3 & 4 & 4 & 5 & 5 \tabularnewline
A4 & 1 & 2 & 3 & 4 & 5 \tabularnewline
A5 & 1 & 3 & 4 & 5 & 5 \tabularnewline
A6 & 3 & 4 & 4 & 5 & 5 \tabularnewline
A7 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A8 & 4 & 4 & 4 & 4.5 & 5 \tabularnewline
A9 & 1 & 2 & 3 & 3 & 4 \tabularnewline
A10 & 3 & 4 & 4 & 5 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165407&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]A1[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A2[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A3[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A4[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A5[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A6[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A7[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A8[/C][C]4[/C][C]4[/C][C]4[/C][C]4.5[/C][C]5[/C][/ROW]
[ROW][C]A9[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][/ROW]
[ROW][C]A10[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165407&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165407&T=1

As an alternative you can also use a QR Code:

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

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
A1	3	4	4	5	5
A2	1	2	3	4	5
A3	3	4	4	5	5
A4	1	2	3	4	5
A5	1	3	4	5	5
A6	3	4	4	5	5
A7	2	3	4	4	5
A8	4	4	4	4.5	5
A9	1	2	3	3	4
A10	3	4	4	5	5

Boxplot Notches
Variable	lower bound	median	upper bound
A1	3.84506825324083	4	4.15493174675917
A2	2.69013650648167	3	3.30986349351833
A3	3.84506825324083	4	4.15493174675917
A4	2.69013650648167	3	3.30986349351833
A5	3.69013650648167	4	4.30986349351833
A6	3.84506825324083	4	4.15493174675917
A7	3.84506825324083	4	4.15493174675917
A8	3.92253412662042	4	4.07746587337958
A9	2.84506825324083	3	3.15493174675917
A10	3.84506825324083	4	4.15493174675917

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
A1 & 3.84506825324083 & 4 & 4.15493174675917 \tabularnewline
A2 & 2.69013650648167 & 3 & 3.30986349351833 \tabularnewline
A3 & 3.84506825324083 & 4 & 4.15493174675917 \tabularnewline
A4 & 2.69013650648167 & 3 & 3.30986349351833 \tabularnewline
A5 & 3.69013650648167 & 4 & 4.30986349351833 \tabularnewline
A6 & 3.84506825324083 & 4 & 4.15493174675917 \tabularnewline
A7 & 3.84506825324083 & 4 & 4.15493174675917 \tabularnewline
A8 & 3.92253412662042 & 4 & 4.07746587337958 \tabularnewline
A9 & 2.84506825324083 & 3 & 3.15493174675917 \tabularnewline
A10 & 3.84506825324083 & 4 & 4.15493174675917 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165407&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]A1[/C][C]3.84506825324083[/C][C]4[/C][C]4.15493174675917[/C][/ROW]
[ROW][C]A2[/C][C]2.69013650648167[/C][C]3[/C][C]3.30986349351833[/C][/ROW]
[ROW][C]A3[/C][C]3.84506825324083[/C][C]4[/C][C]4.15493174675917[/C][/ROW]
[ROW][C]A4[/C][C]2.69013650648167[/C][C]3[/C][C]3.30986349351833[/C][/ROW]
[ROW][C]A5[/C][C]3.69013650648167[/C][C]4[/C][C]4.30986349351833[/C][/ROW]
[ROW][C]A6[/C][C]3.84506825324083[/C][C]4[/C][C]4.15493174675917[/C][/ROW]
[ROW][C]A7[/C][C]3.84506825324083[/C][C]4[/C][C]4.15493174675917[/C][/ROW]
[ROW][C]A8[/C][C]3.92253412662042[/C][C]4[/C][C]4.07746587337958[/C][/ROW]
[ROW][C]A9[/C][C]2.84506825324083[/C][C]3[/C][C]3.15493174675917[/C][/ROW]
[ROW][C]A10[/C][C]3.84506825324083[/C][C]4[/C][C]4.15493174675917[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165407&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165407&T=2

As an alternative you can also use a QR Code:

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

Boxplot Notches
Variable	lower bound	median	upper bound
A1	3.84506825324083	4	4.15493174675917
A2	2.69013650648167	3	3.30986349351833
A3	3.84506825324083	4	4.15493174675917
A4	2.69013650648167	3	3.30986349351833
A5	3.69013650648167	4	4.30986349351833
A6	3.84506825324083	4	4.15493174675917
A7	3.84506825324083	4	4.15493174675917
A8	3.92253412662042	4	4.07746587337958
A9	2.84506825324083	3	3.15493174675917
A10	3.84506825324083	4	4.15493174675917

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = all ; par3 = bachelor ; par4 = 2 ; par5 = ATTLES connected ;

Parameters (R input):

par1 = grey ; par2 = all ; par3 = bachelor ; par4 = 2 ; par5 = ATTLES connected ;

R code (references can be found in the software module):

x <- as.data.frame(read.table(file='https://automated.biganalytics.eu/download/utaut.csv',sep=',',header=T))
x$U25 <- 6-x$U25
if(par2 == 'female') x <- x[x$Gender==0,]
if(par2 == 'male') x <- x[x$Gender==1,]
if(par3 == 'prep') x <- x[x$Pop==1,]
if(par3 == 'bachelor') x <- x[x$Pop==0,]
if(par4 != 'all') {
x <- x[x$Year==as.numeric(par4),]
}
cAc <- with(x,cbind( A1, A2, A3, A4, A5, A6, A7, A8, A9,A10))
cAs <- with(x,cbind(A11,A12,A13,A14,A15,A16,A17,A18,A19,A20))
cA <- cbind(cAc,cAs)
cCa <- with(x,cbind(C1,C3,C5,C7, C9,C11,C13,C15,C17,C19,C21,C23,C25,C27,C29,C31,C33,C35,C37,C39,C41,C43,C45,C47))
cCp <- with(x,cbind(C2,C4,C6,C8,C10,C12,C14,C16,C18,C20,C22,C24,C26,C28,C30,C32,C34,C36,C38,C40,C42,C44,C46,C48))
cC <- cbind(cCa,cCp)
cU <- with(x,cbind(U1,U2,U3,U4,U5,U6,U7,U8,U9,U10,U11,U12,U13,U14,U15,U16,U17,U18,U19,U20,U21,U22,U23,U24,U25,U26,U27,U28,U29,U30,U31,U32,U33))
cE <- with(x,cbind(BC,NNZFG,MRT,AFL,LPM,LPC,W,WPA))
cX <- with(x,cbind(X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18))
if (par5=='ATTLES connected') x <- cAc
if (par5=='ATTLES separate') x <- cAs
if (par5=='ATTLES all') x <- cA
if (par5=='COLLES actuals') x <- cCa
if (par5=='COLLES preferred') x <- cCp
if (par5=='COLLES all') x <- cC
if (par5=='CSUQ') x <- cU
if (par5=='Learning Activities') x <- cE
if (par5=='Exam Items') x <- cX
ncol <- length(x[1,])
for (jjj in 1:ncol) {
x <- x[!is.na(x[,jjj]),]
}
x <- t(x)
y <- x
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
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,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code