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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 12:15:49 -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/t1336493761g7jmjkf2ii9a7if.htm/, Retrieved Sun, 05 May 2024 14:53:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166335, Retrieved Sun, 05 May 2024 14:53:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
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 16:15:49] [2c0fb5730614919033aea1a550956e45] [Current]
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166335&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166335&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166335&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
BC0435990152
NNZFG07194124173
MRT09141932
AFL0194.76255.69358.44556.33
LPM097.39119.545164.73256.9
LPC075.3795.695131.28205.54
W034304740.5671210564
WPA02567.75371451828631

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 0 & 43 & 59 & 90 & 152 \tabularnewline
NNZFG & 0 & 71 & 94 & 124 & 173 \tabularnewline
MRT & 0 & 9 & 14 & 19 & 32 \tabularnewline
AFL & 0 & 194.76 & 255.69 & 358.44 & 556.33 \tabularnewline
LPM & 0 & 97.39 & 119.545 & 164.73 & 256.9 \tabularnewline
LPC & 0 & 75.37 & 95.695 & 131.28 & 205.54 \tabularnewline
W & 0 & 3430 & 4740.5 & 6712 & 10564 \tabularnewline
WPA & 0 & 2567.75 & 3714 & 5182 & 8631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166335&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]0[/C][C]43[/C][C]59[/C][C]90[/C][C]152[/C][/ROW]
[ROW][C]NNZFG[/C][C]0[/C][C]71[/C][C]94[/C][C]124[/C][C]173[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]9[/C][C]14[/C][C]19[/C][C]32[/C][/ROW]
[ROW][C]AFL[/C][C]0[/C][C]194.76[/C][C]255.69[/C][C]358.44[/C][C]556.33[/C][/ROW]
[ROW][C]LPM[/C][C]0[/C][C]97.39[/C][C]119.545[/C][C]164.73[/C][C]256.9[/C][/ROW]
[ROW][C]LPC[/C][C]0[/C][C]75.37[/C][C]95.695[/C][C]131.28[/C][C]205.54[/C][/ROW]
[ROW][C]W[/C][C]0[/C][C]3430[/C][C]4740.5[/C][C]6712[/C][C]10564[/C][/ROW]
[ROW][C]WPA[/C][C]0[/C][C]2567.75[/C][C]3714[/C][C]5182[/C][C]8631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166335&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166335&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
BC0435990152
NNZFG07194124173
MRT09141932
AFL0194.76255.69358.44556.33
LPM097.39119.545164.73256.9
LPC075.3795.695131.28205.54
W034304740.5671210564
WPA02567.75371451828631







Boxplot Notches
Variablelower boundmedianupper bound
BC53.01595866914755964.9840413308525
NNZFG87.252038499251594100.747961500749
MRT12.72679971683991415.2732002831601
AFL234.850257765235255.69276.529742234765
LPM110.9712692932119.545128.1187307068
LPC88.576537216851995.695102.813462783148
W4322.635667066854740.55158.36433293315
WPA3381.1536159748737144046.84638402513

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 53.0159586691475 & 59 & 64.9840413308525 \tabularnewline
NNZFG & 87.2520384992515 & 94 & 100.747961500749 \tabularnewline
MRT & 12.7267997168399 & 14 & 15.2732002831601 \tabularnewline
AFL & 234.850257765235 & 255.69 & 276.529742234765 \tabularnewline
LPM & 110.9712692932 & 119.545 & 128.1187307068 \tabularnewline
LPC & 88.5765372168519 & 95.695 & 102.813462783148 \tabularnewline
W & 4322.63566706685 & 4740.5 & 5158.36433293315 \tabularnewline
WPA & 3381.15361597487 & 3714 & 4046.84638402513 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166335&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]53.0159586691475[/C][C]59[/C][C]64.9840413308525[/C][/ROW]
[ROW][C]NNZFG[/C][C]87.2520384992515[/C][C]94[/C][C]100.747961500749[/C][/ROW]
[ROW][C]MRT[/C][C]12.7267997168399[/C][C]14[/C][C]15.2732002831601[/C][/ROW]
[ROW][C]AFL[/C][C]234.850257765235[/C][C]255.69[/C][C]276.529742234765[/C][/ROW]
[ROW][C]LPM[/C][C]110.9712692932[/C][C]119.545[/C][C]128.1187307068[/C][/ROW]
[ROW][C]LPC[/C][C]88.5765372168519[/C][C]95.695[/C][C]102.813462783148[/C][/ROW]
[ROW][C]W[/C][C]4322.63566706685[/C][C]4740.5[/C][C]5158.36433293315[/C][/ROW]
[ROW][C]WPA[/C][C]3381.15361597487[/C][C]3714[/C][C]4046.84638402513[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166335&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166335&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
BC53.01595866914755964.9840413308525
NNZFG87.252038499251594100.747961500749
MRT12.72679971683991415.2732002831601
AFL234.850257765235255.69276.529742234765
LPM110.9712692932119.545128.1187307068
LPC88.576537216851995.695102.813462783148
W4322.635667066854740.55158.36433293315
WPA3381.1536159748737144046.84638402513



Parameters (Session):
par1 = grey ; par2 = male ; par3 = all ; par4 = 2 ; par5 = Learning Activities ;
Parameters (R input):
par1 = grey ; par2 = male ; par3 = all ; par4 = 2 ; par5 = Learning Activities ;
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')