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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 15:23:36 -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/t1335122634zeefobw889s2ozt.htm/, Retrieved Mon, 06 May 2024 06:17:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164643, Retrieved Mon, 06 May 2024 06:17:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182
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] [Male. Bach. leera...] [2012-04-22 19:23:36] [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'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=164643&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=164643&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164643&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
BC4486182116
NNZFG70130150173220
MRT211152339
AFL9179.49262.62345.16495.47
LPM38.6793.55109.22139.12198.62
LPC52.3986.16102.29125.16182.54
W20453335426057216894
WPA1022.519052860.531975067

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 4 & 48 & 61 & 82 & 116 \tabularnewline
NNZFG & 70 & 130 & 150 & 173 & 220 \tabularnewline
MRT & 2 & 11 & 15 & 23 & 39 \tabularnewline
AFL & 9 & 179.49 & 262.62 & 345.16 & 495.47 \tabularnewline
LPM & 38.67 & 93.55 & 109.22 & 139.12 & 198.62 \tabularnewline
LPC & 52.39 & 86.16 & 102.29 & 125.16 & 182.54 \tabularnewline
W & 2045 & 3335 & 4260 & 5721 & 6894 \tabularnewline
WPA & 1022.5 & 1905 & 2860.5 & 3197 & 5067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164643&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]48[/C][C]61[/C][C]82[/C][C]116[/C][/ROW]
[ROW][C]NNZFG[/C][C]70[/C][C]130[/C][C]150[/C][C]173[/C][C]220[/C][/ROW]
[ROW][C]MRT[/C][C]2[/C][C]11[/C][C]15[/C][C]23[/C][C]39[/C][/ROW]
[ROW][C]AFL[/C][C]9[/C][C]179.49[/C][C]262.62[/C][C]345.16[/C][C]495.47[/C][/ROW]
[ROW][C]LPM[/C][C]38.67[/C][C]93.55[/C][C]109.22[/C][C]139.12[/C][C]198.62[/C][/ROW]
[ROW][C]LPC[/C][C]52.39[/C][C]86.16[/C][C]102.29[/C][C]125.16[/C][C]182.54[/C][/ROW]
[ROW][C]W[/C][C]2045[/C][C]3335[/C][C]4260[/C][C]5721[/C][C]6894[/C][/ROW]
[ROW][C]WPA[/C][C]1022.5[/C][C]1905[/C][C]2860.5[/C][C]3197[/C][C]5067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164643&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164643&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
BC4486182116
NNZFG70130150173220
MRT211152339
AFL9179.49262.62345.16495.47
LPM38.6793.55109.22139.12198.62
LPC52.3986.16102.29125.16182.54
W20453335426057216894
WPA1022.519052860.531975067







Boxplot Notches
Variablelower boundmedianupper bound
BC54.53287197223256167.4671280277675
NNZFG141.820985141353150158.179014858647
MRT12.71748422549381517.2825157745062
AFL231.107967636463262.62294.132032363537
LPM100.552146346313109.22117.887853653687
LPC94.8718237328549102.29109.708176267145
W3806.1597801690242604713.84021983098
WPA2614.749134944832860.53106.25086505517

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 54.5328719722325 & 61 & 67.4671280277675 \tabularnewline
NNZFG & 141.820985141353 & 150 & 158.179014858647 \tabularnewline
MRT & 12.7174842254938 & 15 & 17.2825157745062 \tabularnewline
AFL & 231.107967636463 & 262.62 & 294.132032363537 \tabularnewline
LPM & 100.552146346313 & 109.22 & 117.887853653687 \tabularnewline
LPC & 94.8718237328549 & 102.29 & 109.708176267145 \tabularnewline
W & 3806.15978016902 & 4260 & 4713.84021983098 \tabularnewline
WPA & 2614.74913494483 & 2860.5 & 3106.25086505517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164643&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]54.5328719722325[/C][C]61[/C][C]67.4671280277675[/C][/ROW]
[ROW][C]NNZFG[/C][C]141.820985141353[/C][C]150[/C][C]158.179014858647[/C][/ROW]
[ROW][C]MRT[/C][C]12.7174842254938[/C][C]15[/C][C]17.2825157745062[/C][/ROW]
[ROW][C]AFL[/C][C]231.107967636463[/C][C]262.62[/C][C]294.132032363537[/C][/ROW]
[ROW][C]LPM[/C][C]100.552146346313[/C][C]109.22[/C][C]117.887853653687[/C][/ROW]
[ROW][C]LPC[/C][C]94.8718237328549[/C][C]102.29[/C][C]109.708176267145[/C][/ROW]
[ROW][C]W[/C][C]3806.15978016902[/C][C]4260[/C][C]4713.84021983098[/C][/ROW]
[ROW][C]WPA[/C][C]2614.74913494483[/C][C]2860.5[/C][C]3106.25086505517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164643&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164643&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
BC54.53287197223256167.4671280277675
NNZFG141.820985141353150158.179014858647
MRT12.71748422549381517.2825157745062
AFL231.107967636463262.62294.132032363537
LPM100.552146346313109.22117.887853653687
LPC94.8718237328549102.29109.708176267145
W3806.1597801690242604713.84021983098
WPA2614.749134944832860.53106.25086505517



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