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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 computationSun, 22 Apr 2012 15:24:09 -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/Apr/22/t1335122662nakzbx8sew20qp2.htm/, Retrieved Mon, 06 May 2024 08:54:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164644, Retrieved Mon, 06 May 2024 08:54:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Data Mining] [] [2012-04-16 12:15:42] [b98453cac15ba1066b407e146608df68]
- RM    [Notched Boxplots] [] [2012-04-16 12:55:56] [b98453cac15ba1066b407e146608df68]
-   P       [Notched Boxplots] [Fem. Bach. leerac...] [2012-04-22 19:24:09] [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'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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164644&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164644&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164644&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'Herman Ole Andreas Wold' @ wold.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
BC31566784119
NNZFG114151165181225
MRT311152339
AFL124.04229.22311.73434.36731.33
LPM73.0498.26131.96170.31253.41
LPC65.3291.14117.44159.45258.54
W22043372477359369439
WPA10441686254040886181

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 31 & 56 & 67 & 84 & 119 \tabularnewline
NNZFG & 114 & 151 & 165 & 181 & 225 \tabularnewline
MRT & 3 & 11 & 15 & 23 & 39 \tabularnewline
AFL & 124.04 & 229.22 & 311.73 & 434.36 & 731.33 \tabularnewline
LPM & 73.04 & 98.26 & 131.96 & 170.31 & 253.41 \tabularnewline
LPC & 65.32 & 91.14 & 117.44 & 159.45 & 258.54 \tabularnewline
W & 2204 & 3372 & 4773 & 5936 & 9439 \tabularnewline
WPA & 1044 & 1686 & 2540 & 4088 & 6181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164644&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]31[/C][C]56[/C][C]67[/C][C]84[/C][C]119[/C][/ROW]
[ROW][C]NNZFG[/C][C]114[/C][C]151[/C][C]165[/C][C]181[/C][C]225[/C][/ROW]
[ROW][C]MRT[/C][C]3[/C][C]11[/C][C]15[/C][C]23[/C][C]39[/C][/ROW]
[ROW][C]AFL[/C][C]124.04[/C][C]229.22[/C][C]311.73[/C][C]434.36[/C][C]731.33[/C][/ROW]
[ROW][C]LPM[/C][C]73.04[/C][C]98.26[/C][C]131.96[/C][C]170.31[/C][C]253.41[/C][/ROW]
[ROW][C]LPC[/C][C]65.32[/C][C]91.14[/C][C]117.44[/C][C]159.45[/C][C]258.54[/C][/ROW]
[ROW][C]W[/C][C]2204[/C][C]3372[/C][C]4773[/C][C]5936[/C][C]9439[/C][/ROW]
[ROW][C]WPA[/C][C]1044[/C][C]1686[/C][C]2540[/C][C]4088[/C][C]6181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164644&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164644&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
BC31566784119
NNZFG114151165181225
MRT311152339
AFL124.04229.22311.73434.36731.33
LPM73.0498.26131.96170.31253.41
LPC65.3291.14117.44159.45258.54
W22043372477359369439
WPA10441686254040886181







Boxplot Notches
Variablelower boundmedianupper bound
BC62.11450928644886771.8854907135512
NNZFG159.765545664052165170.234454335948
MRT12.90621826562091517.0937817343791
AFL275.936801250789311.73347.523198749211
LPM119.388585503166131.96144.531414496834
LPC105.521147477047117.44129.358852522953
W4325.6286360876747735220.37136391233
WPA2120.8946895017925402959.10531049821

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 62.1145092864488 & 67 & 71.8854907135512 \tabularnewline
NNZFG & 159.765545664052 & 165 & 170.234454335948 \tabularnewline
MRT & 12.9062182656209 & 15 & 17.0937817343791 \tabularnewline
AFL & 275.936801250789 & 311.73 & 347.523198749211 \tabularnewline
LPM & 119.388585503166 & 131.96 & 144.531414496834 \tabularnewline
LPC & 105.521147477047 & 117.44 & 129.358852522953 \tabularnewline
W & 4325.62863608767 & 4773 & 5220.37136391233 \tabularnewline
WPA & 2120.89468950179 & 2540 & 2959.10531049821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164644&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]62.1145092864488[/C][C]67[/C][C]71.8854907135512[/C][/ROW]
[ROW][C]NNZFG[/C][C]159.765545664052[/C][C]165[/C][C]170.234454335948[/C][/ROW]
[ROW][C]MRT[/C][C]12.9062182656209[/C][C]15[/C][C]17.0937817343791[/C][/ROW]
[ROW][C]AFL[/C][C]275.936801250789[/C][C]311.73[/C][C]347.523198749211[/C][/ROW]
[ROW][C]LPM[/C][C]119.388585503166[/C][C]131.96[/C][C]144.531414496834[/C][/ROW]
[ROW][C]LPC[/C][C]105.521147477047[/C][C]117.44[/C][C]129.358852522953[/C][/ROW]
[ROW][C]W[/C][C]4325.62863608767[/C][C]4773[/C][C]5220.37136391233[/C][/ROW]
[ROW][C]WPA[/C][C]2120.89468950179[/C][C]2540[/C][C]2959.10531049821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164644&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164644&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
BC62.11450928644886771.8854907135512
NNZFG159.765545664052165170.234454335948
MRT12.90621826562091517.0937817343791
AFL275.936801250789311.73347.523198749211
LPM119.388585503166131.96144.531414496834
LPC105.521147477047117.44129.358852522953
W4325.6286360876747735220.37136391233
WPA2120.8946895017925402959.10531049821



Parameters (Session):
par1 = meta analysis (separate) ; par2 = Learning Activities ; par3 = Exam Items ; par4 = female ; par5 = all ; par6 = 0 ;
Parameters (R input):
par1 = red ; par2 = female ; par3 = bachelor ; par4 = 3 ; 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')