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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 12:12:33 -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/t1336493591pfwztgfzfoj2r2s.htm/, Retrieved Wed, 01 May 2024 17:26:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166332, Retrieved Wed, 01 May 2024 17:26:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
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 16:12:33] [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=166332&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=166332&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166332&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
BC04670108177
NNZFG077103129169
MRT011172236
AFL0242.4327.71431.64610.94
LPM55.35114.68147.48184.6281.69
LPC33.7886.02109.82138.86210.03
W039045360717411465
WPA02966417858529804

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 0 & 46 & 70 & 108 & 177 \tabularnewline
NNZFG & 0 & 77 & 103 & 129 & 169 \tabularnewline
MRT & 0 & 11 & 17 & 22 & 36 \tabularnewline
AFL & 0 & 242.4 & 327.71 & 431.64 & 610.94 \tabularnewline
LPM & 55.35 & 114.68 & 147.48 & 184.6 & 281.69 \tabularnewline
LPC & 33.78 & 86.02 & 109.82 & 138.86 & 210.03 \tabularnewline
W & 0 & 3904 & 5360 & 7174 & 11465 \tabularnewline
WPA & 0 & 2966 & 4178 & 5852 & 9804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166332&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]46[/C][C]70[/C][C]108[/C][C]177[/C][/ROW]
[ROW][C]NNZFG[/C][C]0[/C][C]77[/C][C]103[/C][C]129[/C][C]169[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]11[/C][C]17[/C][C]22[/C][C]36[/C][/ROW]
[ROW][C]AFL[/C][C]0[/C][C]242.4[/C][C]327.71[/C][C]431.64[/C][C]610.94[/C][/ROW]
[ROW][C]LPM[/C][C]55.35[/C][C]114.68[/C][C]147.48[/C][C]184.6[/C][C]281.69[/C][/ROW]
[ROW][C]LPC[/C][C]33.78[/C][C]86.02[/C][C]109.82[/C][C]138.86[/C][C]210.03[/C][/ROW]
[ROW][C]W[/C][C]0[/C][C]3904[/C][C]5360[/C][C]7174[/C][C]11465[/C][/ROW]
[ROW][C]WPA[/C][C]0[/C][C]2966[/C][C]4178[/C][C]5852[/C][C]9804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166332&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166332&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
BC04670108177
NNZFG077103129169
MRT011172236
AFL0242.4327.71431.64610.94
LPM55.35114.68147.48184.6281.69
LPC33.7886.02109.82138.86210.03
W039045360717411465
WPA02966417858529804







Boxplot Notches
Variablelower boundmedianupper bound
BC60.94359479629617079.0564052037039
NNZFG95.4043053130225103110.595694686977
MRT15.39321843160091718.6067815683991
AFL300.067514181469327.71355.352485818531
LPM137.266712067049147.48157.693287932951
LPC102.101605629617109.82117.538394370382
W4882.3476610304653605837.65233896954
WPA3756.4389448727541784599.56105512725

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 60.9435947962961 & 70 & 79.0564052037039 \tabularnewline
NNZFG & 95.4043053130225 & 103 & 110.595694686977 \tabularnewline
MRT & 15.3932184316009 & 17 & 18.6067815683991 \tabularnewline
AFL & 300.067514181469 & 327.71 & 355.352485818531 \tabularnewline
LPM & 137.266712067049 & 147.48 & 157.693287932951 \tabularnewline
LPC & 102.101605629617 & 109.82 & 117.538394370382 \tabularnewline
W & 4882.34766103046 & 5360 & 5837.65233896954 \tabularnewline
WPA & 3756.43894487275 & 4178 & 4599.56105512725 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166332&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]60.9435947962961[/C][C]70[/C][C]79.0564052037039[/C][/ROW]
[ROW][C]NNZFG[/C][C]95.4043053130225[/C][C]103[/C][C]110.595694686977[/C][/ROW]
[ROW][C]MRT[/C][C]15.3932184316009[/C][C]17[/C][C]18.6067815683991[/C][/ROW]
[ROW][C]AFL[/C][C]300.067514181469[/C][C]327.71[/C][C]355.352485818531[/C][/ROW]
[ROW][C]LPM[/C][C]137.266712067049[/C][C]147.48[/C][C]157.693287932951[/C][/ROW]
[ROW][C]LPC[/C][C]102.101605629617[/C][C]109.82[/C][C]117.538394370382[/C][/ROW]
[ROW][C]W[/C][C]4882.34766103046[/C][C]5360[/C][C]5837.65233896954[/C][/ROW]
[ROW][C]WPA[/C][C]3756.43894487275[/C][C]4178[/C][C]4599.56105512725[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166332&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166332&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
BC60.94359479629617079.0564052037039
NNZFG95.4043053130225103110.595694686977
MRT15.39321843160091718.6067815683991
AFL300.067514181469327.71355.352485818531
LPM137.266712067049147.48157.693287932951
LPC102.101605629617109.82117.538394370382
W4882.3476610304653605837.65233896954
WPA3756.4389448727541784599.56105512725



Parameters (Session):
par1 = grey ; par2 = female ; par3 = all ; par4 = 2 ; par5 = Learning Activities ;
Parameters (R input):
par1 = grey ; par2 = female ; par3 = all ; par4 = 2 ; par5 = Learning Activities ;
R code (references can be found in the software module):
par5 <- 'Learning Activities'
par4 <- 'all'
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')