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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1dm.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 28 Aug 2012 05:02:13 -0400
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/Aug/28/t1346144787k5jbwzkhx65b354.htm/, Retrieved Fri, 03 May 2024 07:33:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169498, Retrieved Fri, 03 May 2024 07:33:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2012-08-28 09:02:13] [e048adb2a2a45a7e864cca9ce865f211] [Current]
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=169498&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=169498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169498&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
A1112445
A1223445
A1313455
A1423345
A1523445
A1612334
A1723345
A1823445
A1923445
A2012334

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
A11 & 1 & 2 & 4 & 4 & 5 \tabularnewline
A12 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A13 & 1 & 3 & 4 & 5 & 5 \tabularnewline
A14 & 2 & 3 & 3 & 4 & 5 \tabularnewline
A15 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A16 & 1 & 2 & 3 & 3 & 4 \tabularnewline
A17 & 2 & 3 & 3 & 4 & 5 \tabularnewline
A18 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A19 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A20 & 1 & 2 & 3 & 3 & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169498&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]A11[/C][C]1[/C][C]2[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A12[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A13[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A14[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A15[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A16[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][/ROW]
[ROW][C]A17[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A18[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A19[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A20[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169498&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
A1112445
A1223445
A1313455
A1423345
A1523445
A1612334
A1723345
A1823445
A1923445
A2012334







Boxplot Notches
Variablelower boundmedianupper bound
A113.8512014114460344.14879858855397
A123.9256007057230144.07439929427699
A133.8512014114460344.14879858855397
A142.9256007057230133.07439929427699
A153.9256007057230144.07439929427699
A162.9256007057230133.07439929427699
A172.9256007057230133.07439929427699
A183.9256007057230144.07439929427699
A193.9256007057230144.07439929427699
A202.9256007057230133.07439929427699

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
A11 & 3.85120141144603 & 4 & 4.14879858855397 \tabularnewline
A12 & 3.92560070572301 & 4 & 4.07439929427699 \tabularnewline
A13 & 3.85120141144603 & 4 & 4.14879858855397 \tabularnewline
A14 & 2.92560070572301 & 3 & 3.07439929427699 \tabularnewline
A15 & 3.92560070572301 & 4 & 4.07439929427699 \tabularnewline
A16 & 2.92560070572301 & 3 & 3.07439929427699 \tabularnewline
A17 & 2.92560070572301 & 3 & 3.07439929427699 \tabularnewline
A18 & 3.92560070572301 & 4 & 4.07439929427699 \tabularnewline
A19 & 3.92560070572301 & 4 & 4.07439929427699 \tabularnewline
A20 & 2.92560070572301 & 3 & 3.07439929427699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169498&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]A11[/C][C]3.85120141144603[/C][C]4[/C][C]4.14879858855397[/C][/ROW]
[ROW][C]A12[/C][C]3.92560070572301[/C][C]4[/C][C]4.07439929427699[/C][/ROW]
[ROW][C]A13[/C][C]3.85120141144603[/C][C]4[/C][C]4.14879858855397[/C][/ROW]
[ROW][C]A14[/C][C]2.92560070572301[/C][C]3[/C][C]3.07439929427699[/C][/ROW]
[ROW][C]A15[/C][C]3.92560070572301[/C][C]4[/C][C]4.07439929427699[/C][/ROW]
[ROW][C]A16[/C][C]2.92560070572301[/C][C]3[/C][C]3.07439929427699[/C][/ROW]
[ROW][C]A17[/C][C]2.92560070572301[/C][C]3[/C][C]3.07439929427699[/C][/ROW]
[ROW][C]A18[/C][C]3.92560070572301[/C][C]4[/C][C]4.07439929427699[/C][/ROW]
[ROW][C]A19[/C][C]3.92560070572301[/C][C]4[/C][C]4.07439929427699[/C][/ROW]
[ROW][C]A20[/C][C]2.92560070572301[/C][C]3[/C][C]3.07439929427699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169498&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169498&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
Variablelower boundmedianupper bound
A113.8512014114460344.14879858855397
A123.9256007057230144.07439929427699
A133.8512014114460344.14879858855397
A142.9256007057230133.07439929427699
A153.9256007057230144.07439929427699
A162.9256007057230133.07439929427699
A172.9256007057230133.07439929427699
A183.9256007057230144.07439929427699
A193.9256007057230144.07439929427699
A202.9256007057230133.07439929427699



Parameters (Session):
par1 = grey ; par2 = female ; par3 = all ; par4 = all ; par5 = ATTLES separate ;
Parameters (R input):
par1 = grey ; par2 = female ; par3 = all ; par4 = all ; par5 = ATTLES separate ;
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')