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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 12:13:53 -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/t1336493644t5r66ffuafiu0ck.htm/, Retrieved Wed, 01 May 2024 14:10:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166333, Retrieved Wed, 01 May 2024 14:10:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
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] [female - leeracti...] [2012-05-08 16:13:53] [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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166333&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166333&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'Gwilym Jenkins' @ jenkins.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
BC96484119184
NNZFG74139165183235
MRT111162543
AFL124.04268.11399.73596.731053.39
LPM73.04115.13149.08202.47332.54
LPC65.3294.89125.28170.29280.12
W12794088535359838342
WPA10441686279945526308

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 9 & 64 & 84 & 119 & 184 \tabularnewline
NNZFG & 74 & 139 & 165 & 183 & 235 \tabularnewline
MRT & 1 & 11 & 16 & 25 & 43 \tabularnewline
AFL & 124.04 & 268.11 & 399.73 & 596.73 & 1053.39 \tabularnewline
LPM & 73.04 & 115.13 & 149.08 & 202.47 & 332.54 \tabularnewline
LPC & 65.32 & 94.89 & 125.28 & 170.29 & 280.12 \tabularnewline
W & 1279 & 4088 & 5353 & 5983 & 8342 \tabularnewline
WPA & 1044 & 1686 & 2799 & 4552 & 6308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166333&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]9[/C][C]64[/C][C]84[/C][C]119[/C][C]184[/C][/ROW]
[ROW][C]NNZFG[/C][C]74[/C][C]139[/C][C]165[/C][C]183[/C][C]235[/C][/ROW]
[ROW][C]MRT[/C][C]1[/C][C]11[/C][C]16[/C][C]25[/C][C]43[/C][/ROW]
[ROW][C]AFL[/C][C]124.04[/C][C]268.11[/C][C]399.73[/C][C]596.73[/C][C]1053.39[/C][/ROW]
[ROW][C]LPM[/C][C]73.04[/C][C]115.13[/C][C]149.08[/C][C]202.47[/C][C]332.54[/C][/ROW]
[ROW][C]LPC[/C][C]65.32[/C][C]94.89[/C][C]125.28[/C][C]170.29[/C][C]280.12[/C][/ROW]
[ROW][C]W[/C][C]1279[/C][C]4088[/C][C]5353[/C][C]5983[/C][C]8342[/C][/ROW]
[ROW][C]WPA[/C][C]1044[/C][C]1686[/C][C]2799[/C][C]4552[/C][C]6308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166333&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
BC96484119184
NNZFG74139165183235
MRT111162543
AFL124.04268.11399.73596.731053.39
LPM73.04115.13149.08202.47332.54
LPC65.3294.89125.28170.29280.12
W12794088535359838342
WPA10441686279945526308







Boxplot Notches
Variablelower boundmedianupper bound
BC76.57563195444138491.4243680455587
NNZFG159.060505563553165170.939494436447
MRT14.11016086113051617.8898391388695
AFL355.370075870337399.73444.089924129663
LPM137.290103543653149.08160.869896456347
LPC115.101866352089125.28135.458133647911
W5097.1967737030253535608.80322629698
WPA2412.1229305714327993185.87706942857

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 76.5756319544413 & 84 & 91.4243680455587 \tabularnewline
NNZFG & 159.060505563553 & 165 & 170.939494436447 \tabularnewline
MRT & 14.1101608611305 & 16 & 17.8898391388695 \tabularnewline
AFL & 355.370075870337 & 399.73 & 444.089924129663 \tabularnewline
LPM & 137.290103543653 & 149.08 & 160.869896456347 \tabularnewline
LPC & 115.101866352089 & 125.28 & 135.458133647911 \tabularnewline
W & 5097.19677370302 & 5353 & 5608.80322629698 \tabularnewline
WPA & 2412.12293057143 & 2799 & 3185.87706942857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166333&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]76.5756319544413[/C][C]84[/C][C]91.4243680455587[/C][/ROW]
[ROW][C]NNZFG[/C][C]159.060505563553[/C][C]165[/C][C]170.939494436447[/C][/ROW]
[ROW][C]MRT[/C][C]14.1101608611305[/C][C]16[/C][C]17.8898391388695[/C][/ROW]
[ROW][C]AFL[/C][C]355.370075870337[/C][C]399.73[/C][C]444.089924129663[/C][/ROW]
[ROW][C]LPM[/C][C]137.290103543653[/C][C]149.08[/C][C]160.869896456347[/C][/ROW]
[ROW][C]LPC[/C][C]115.101866352089[/C][C]125.28[/C][C]135.458133647911[/C][/ROW]
[ROW][C]W[/C][C]5097.19677370302[/C][C]5353[/C][C]5608.80322629698[/C][/ROW]
[ROW][C]WPA[/C][C]2412.12293057143[/C][C]2799[/C][C]3185.87706942857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166333&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166333&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
BC76.57563195444138491.4243680455587
NNZFG159.060505563553165170.939494436447
MRT14.11016086113051617.8898391388695
AFL355.370075870337399.73444.089924129663
LPM137.290103543653149.08160.869896456347
LPC115.101866352089125.28135.458133647911
W5097.1967737030253535608.80322629698
WPA2412.1229305714327993185.87706942857



Parameters (Session):
par1 = grey ; par2 = female ; par3 = all ; par4 = 3 ; par5 = Learning Activities ;
Parameters (R input):
par1 = grey ; par2 = female ; 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 <- 'female'
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')