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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 computationMon, 23 Apr 2012 05:55:44 -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/23/t1335174971n2lfgit8uc5iwld.htm/, Retrieved Fri, 03 May 2024 21:29:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164674, Retrieved Fri, 03 May 2024 21:29:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
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 12:53:26] [b98453cac15ba1066b407e146608df68]
- R P     [Notched Boxplots] [Notched Boxplot (...] [2012-04-23 09:46:29] [489eb911c8db04aca1fc54d886fc3144]
- R           [Notched Boxplots] [Notched Boxplots ...] [2012-04-23 09:55:44] [d160b678fd2d7bb562db2147d7efddc2] [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=164674&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=164674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164674&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
BC04871106192
NNZFG084120159240
MRT09.5152138
AFL0206.385286.65436.935763.06
LPM0100.4128.96170.23274.43
LPC080.345103.97136.965205.54
W10533717.54740.55998.59327
WPA0225633374740.58201

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 0 & 48 & 71 & 106 & 192 \tabularnewline
NNZFG & 0 & 84 & 120 & 159 & 240 \tabularnewline
MRT & 0 & 9.5 & 15 & 21 & 38 \tabularnewline
AFL & 0 & 206.385 & 286.65 & 436.935 & 763.06 \tabularnewline
LPM & 0 & 100.4 & 128.96 & 170.23 & 274.43 \tabularnewline
LPC & 0 & 80.345 & 103.97 & 136.965 & 205.54 \tabularnewline
W & 1053 & 3717.5 & 4740.5 & 5998.5 & 9327 \tabularnewline
WPA & 0 & 2256 & 3337 & 4740.5 & 8201 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164674&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]48[/C][C]71[/C][C]106[/C][C]192[/C][/ROW]
[ROW][C]NNZFG[/C][C]0[/C][C]84[/C][C]120[/C][C]159[/C][C]240[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]9.5[/C][C]15[/C][C]21[/C][C]38[/C][/ROW]
[ROW][C]AFL[/C][C]0[/C][C]206.385[/C][C]286.65[/C][C]436.935[/C][C]763.06[/C][/ROW]
[ROW][C]LPM[/C][C]0[/C][C]100.4[/C][C]128.96[/C][C]170.23[/C][C]274.43[/C][/ROW]
[ROW][C]LPC[/C][C]0[/C][C]80.345[/C][C]103.97[/C][C]136.965[/C][C]205.54[/C][/ROW]
[ROW][C]W[/C][C]1053[/C][C]3717.5[/C][C]4740.5[/C][C]5998.5[/C][C]9327[/C][/ROW]
[ROW][C]WPA[/C][C]0[/C][C]2256[/C][C]3337[/C][C]4740.5[/C][C]8201[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164674&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
BC04871106192
NNZFG084120159240
MRT09.5152138
AFL0206.385286.65436.935763.06
LPM0100.4128.96170.23274.43
LPC080.345103.97136.965205.54
W10533717.54740.55998.59327
WPA0225633374740.58201







Boxplot Notches
Variablelower boundmedianupper bound
BC65.74408553702547176.2559144629746
NNZFG113.203558884085120126.796441115915
MRT13.9578790288931516.042120971107
AFL265.757740009676286.65307.542259990324
LPM122.632060225008128.96135.287939774992
LPC98.8391400535583103.97109.100859946442
W4533.797570861294740.54947.20242913871
WPA3111.8565606334433373562.14343936656

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 65.7440855370254 & 71 & 76.2559144629746 \tabularnewline
NNZFG & 113.203558884085 & 120 & 126.796441115915 \tabularnewline
MRT & 13.957879028893 & 15 & 16.042120971107 \tabularnewline
AFL & 265.757740009676 & 286.65 & 307.542259990324 \tabularnewline
LPM & 122.632060225008 & 128.96 & 135.287939774992 \tabularnewline
LPC & 98.8391400535583 & 103.97 & 109.100859946442 \tabularnewline
W & 4533.79757086129 & 4740.5 & 4947.20242913871 \tabularnewline
WPA & 3111.85656063344 & 3337 & 3562.14343936656 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164674&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]65.7440855370254[/C][C]71[/C][C]76.2559144629746[/C][/ROW]
[ROW][C]NNZFG[/C][C]113.203558884085[/C][C]120[/C][C]126.796441115915[/C][/ROW]
[ROW][C]MRT[/C][C]13.957879028893[/C][C]15[/C][C]16.042120971107[/C][/ROW]
[ROW][C]AFL[/C][C]265.757740009676[/C][C]286.65[/C][C]307.542259990324[/C][/ROW]
[ROW][C]LPM[/C][C]122.632060225008[/C][C]128.96[/C][C]135.287939774992[/C][/ROW]
[ROW][C]LPC[/C][C]98.8391400535583[/C][C]103.97[/C][C]109.100859946442[/C][/ROW]
[ROW][C]W[/C][C]4533.79757086129[/C][C]4740.5[/C][C]4947.20242913871[/C][/ROW]
[ROW][C]WPA[/C][C]3111.85656063344[/C][C]3337[/C][C]3562.14343936656[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164674&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164674&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
BC65.74408553702547176.2559144629746
NNZFG113.203558884085120126.796441115915
MRT13.9578790288931516.042120971107
AFL265.757740009676286.65307.542259990324
LPM122.632060225008128.96135.287939774992
LPC98.8391400535583103.97109.100859946442
W4533.797570861294740.54947.20242913871
WPA3111.8565606334433373562.14343936656



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