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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, 08 May 2012 12:15:07 -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/May/08/t13364937244japdxumfrr0blp.htm/, Retrieved Wed, 01 May 2024 18:55:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166334, Retrieved Wed, 01 May 2024 18:55:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Data Mining] [Workshop 5 vraag 1 a] [2012-04-30 13:26:01] [3346191a817a30d0b56421a47a7031a4]
- RMP     [Notched Boxplots] [male - leeractivi...] [2012-05-08 16:15:07] [2c0fb5730614919033aea1a550956e45] [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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166334&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166334&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'Herman Ole Andreas Wold' @ wold.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
BC45784121209
NNZFG31116151178240
MRT011172439
AFL9230.05337.045526.15969.71
LPM38.67103.69130.795179.17289.7
LPC52.3986.82110.38143.75201.41
W204540044773.558277058
WPA1022.52057.33333333332926.544547058

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 4 & 57 & 84 & 121 & 209 \tabularnewline
NNZFG & 31 & 116 & 151 & 178 & 240 \tabularnewline
MRT & 0 & 11 & 17 & 24 & 39 \tabularnewline
AFL & 9 & 230.05 & 337.045 & 526.15 & 969.71 \tabularnewline
LPM & 38.67 & 103.69 & 130.795 & 179.17 & 289.7 \tabularnewline
LPC & 52.39 & 86.82 & 110.38 & 143.75 & 201.41 \tabularnewline
W & 2045 & 4004 & 4773.5 & 5827 & 7058 \tabularnewline
WPA & 1022.5 & 2057.3333333333 & 2926.5 & 4454 & 7058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166334&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]BC[/C][C]4[/C][C]57[/C][C]84[/C][C]121[/C][C]209[/C][/ROW]
[ROW][C]NNZFG[/C][C]31[/C][C]116[/C][C]151[/C][C]178[/C][C]240[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]11[/C][C]17[/C][C]24[/C][C]39[/C][/ROW]
[ROW][C]AFL[/C][C]9[/C][C]230.05[/C][C]337.045[/C][C]526.15[/C][C]969.71[/C][/ROW]
[ROW][C]LPM[/C][C]38.67[/C][C]103.69[/C][C]130.795[/C][C]179.17[/C][C]289.7[/C][/ROW]
[ROW][C]LPC[/C][C]52.39[/C][C]86.82[/C][C]110.38[/C][C]143.75[/C][C]201.41[/C][/ROW]
[ROW][C]W[/C][C]2045[/C][C]4004[/C][C]4773.5[/C][C]5827[/C][C]7058[/C][/ROW]
[ROW][C]WPA[/C][C]1022.5[/C][C]2057.3333333333[/C][C]2926.5[/C][C]4454[/C][C]7058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166334&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
BC45784121209
NNZFG31116151178240
MRT011172439
AFL9230.05337.045526.15969.71
LPM38.67103.69130.795179.17289.7
LPC52.3986.82110.38143.75201.41
W204540044773.558277058
WPA1022.52057.33333333332926.544547058







Boxplot Notches
Variablelower boundmedianupper bound
BC75.74358657365888492.2564134263412
NNZFG143.001599493232151158.998400506768
MRT15.32291602277451718.6770839772255
AFL298.846187257193337.045375.243812742807
LPM121.057592415309130.795140.532407584691
LPC103.03566224435110.38117.72433775565
W4538.321223809064773.55008.67877619094
WPA2617.314518044822926.53235.68548195518

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 75.7435865736588 & 84 & 92.2564134263412 \tabularnewline
NNZFG & 143.001599493232 & 151 & 158.998400506768 \tabularnewline
MRT & 15.3229160227745 & 17 & 18.6770839772255 \tabularnewline
AFL & 298.846187257193 & 337.045 & 375.243812742807 \tabularnewline
LPM & 121.057592415309 & 130.795 & 140.532407584691 \tabularnewline
LPC & 103.03566224435 & 110.38 & 117.72433775565 \tabularnewline
W & 4538.32122380906 & 4773.5 & 5008.67877619094 \tabularnewline
WPA & 2617.31451804482 & 2926.5 & 3235.68548195518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166334&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]BC[/C][C]75.7435865736588[/C][C]84[/C][C]92.2564134263412[/C][/ROW]
[ROW][C]NNZFG[/C][C]143.001599493232[/C][C]151[/C][C]158.998400506768[/C][/ROW]
[ROW][C]MRT[/C][C]15.3229160227745[/C][C]17[/C][C]18.6770839772255[/C][/ROW]
[ROW][C]AFL[/C][C]298.846187257193[/C][C]337.045[/C][C]375.243812742807[/C][/ROW]
[ROW][C]LPM[/C][C]121.057592415309[/C][C]130.795[/C][C]140.532407584691[/C][/ROW]
[ROW][C]LPC[/C][C]103.03566224435[/C][C]110.38[/C][C]117.72433775565[/C][/ROW]
[ROW][C]W[/C][C]4538.32122380906[/C][C]4773.5[/C][C]5008.67877619094[/C][/ROW]
[ROW][C]WPA[/C][C]2617.31451804482[/C][C]2926.5[/C][C]3235.68548195518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166334&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166334&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
BC75.74358657365888492.2564134263412
NNZFG143.001599493232151158.998400506768
MRT15.32291602277451718.6770839772255
AFL298.846187257193337.045375.243812742807
LPM121.057592415309130.795140.532407584691
LPC103.03566224435110.38117.72433775565
W4538.321223809064773.55008.67877619094
WPA2617.314518044822926.53235.68548195518



Parameters (Session):
par1 = grey ; par2 = male ; par3 = all ; par4 = 3 ; par5 = Learning Activities ;
Parameters (R input):
par1 = grey ; par2 = male ; par3 = all ; par4 = 3 ; par5 = Learning Activities ;
R code (references can be found in the software module):
par5 <- 'Learning Activities'
par4 <- '3'
par3 <- 'all'
par2 <- 'male'
par1 <- 'grey'
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')