Free Statistics

of Irreproducible Research!

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, 30 Apr 2012 05:28:30 -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/30/t13357782058mlxqeqa5h5mjgk.htm/, Retrieved Sun, 28 Apr 2024 23:14:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165198, Retrieved Sun, 28 Apr 2024 23:14:51 +0000
QR Codes:

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)
-       [Notched Boxplots] [DM/ notched boxplots] [2012-04-30 09:28:30] [e8e105c2e7d07131df1852088351b05f] [Current]
Feedback Forum

Post a new message




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=165198&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=165198&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165198&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
BC05376108184
NNZFG088129165240
MRT010162239
AFL0225.58318.82474.26846.12
LPM0105.73136.5184.34298.98
LPC085.2109.91146.74237.94
W10533851507360299294
WPA021303422.7550199327

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 0 & 53 & 76 & 108 & 184 \tabularnewline
NNZFG & 0 & 88 & 129 & 165 & 240 \tabularnewline
MRT & 0 & 10 & 16 & 22 & 39 \tabularnewline
AFL & 0 & 225.58 & 318.82 & 474.26 & 846.12 \tabularnewline
LPM & 0 & 105.73 & 136.5 & 184.34 & 298.98 \tabularnewline
LPC & 0 & 85.2 & 109.91 & 146.74 & 237.94 \tabularnewline
W & 1053 & 3851 & 5073 & 6029 & 9294 \tabularnewline
WPA & 0 & 2130 & 3422.75 & 5019 & 9327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165198&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]53[/C][C]76[/C][C]108[/C][C]184[/C][/ROW]
[ROW][C]NNZFG[/C][C]0[/C][C]88[/C][C]129[/C][C]165[/C][C]240[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]10[/C][C]16[/C][C]22[/C][C]39[/C][/ROW]
[ROW][C]AFL[/C][C]0[/C][C]225.58[/C][C]318.82[/C][C]474.26[/C][C]846.12[/C][/ROW]
[ROW][C]LPM[/C][C]0[/C][C]105.73[/C][C]136.5[/C][C]184.34[/C][C]298.98[/C][/ROW]
[ROW][C]LPC[/C][C]0[/C][C]85.2[/C][C]109.91[/C][C]146.74[/C][C]237.94[/C][/ROW]
[ROW][C]W[/C][C]1053[/C][C]3851[/C][C]5073[/C][C]6029[/C][C]9294[/C][/ROW]
[ROW][C]WPA[/C][C]0[/C][C]2130[/C][C]3422.75[/C][C]5019[/C][C]9327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165198&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165198&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
BC05376108184
NNZFG088129165240
MRT010162239
AFL0225.58318.82474.26846.12
LPM0105.73136.5184.34298.98
LPC085.2109.91146.74237.94
W10533851507360299294
WPA021303422.7550199327







Boxplot Notches
Variablelower boundmedianupper bound
BC72.32122965456127679.6787703454388
NNZFG123.849721516386129134.150278483614
MRT15.19735919735881616.8026408026412
AFL302.186607099932318.82335.453392900068
LPM131.242033875365136.5141.757966124635
LPC105.793790417122109.91114.026209582878
W4927.3206943206250735218.67930567938
WPA3229.514226764133422.753615.98577323587

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 72.3212296545612 & 76 & 79.6787703454388 \tabularnewline
NNZFG & 123.849721516386 & 129 & 134.150278483614 \tabularnewline
MRT & 15.1973591973588 & 16 & 16.8026408026412 \tabularnewline
AFL & 302.186607099932 & 318.82 & 335.453392900068 \tabularnewline
LPM & 131.242033875365 & 136.5 & 141.757966124635 \tabularnewline
LPC & 105.793790417122 & 109.91 & 114.026209582878 \tabularnewline
W & 4927.32069432062 & 5073 & 5218.67930567938 \tabularnewline
WPA & 3229.51422676413 & 3422.75 & 3615.98577323587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165198&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]72.3212296545612[/C][C]76[/C][C]79.6787703454388[/C][/ROW]
[ROW][C]NNZFG[/C][C]123.849721516386[/C][C]129[/C][C]134.150278483614[/C][/ROW]
[ROW][C]MRT[/C][C]15.1973591973588[/C][C]16[/C][C]16.8026408026412[/C][/ROW]
[ROW][C]AFL[/C][C]302.186607099932[/C][C]318.82[/C][C]335.453392900068[/C][/ROW]
[ROW][C]LPM[/C][C]131.242033875365[/C][C]136.5[/C][C]141.757966124635[/C][/ROW]
[ROW][C]LPC[/C][C]105.793790417122[/C][C]109.91[/C][C]114.026209582878[/C][/ROW]
[ROW][C]W[/C][C]4927.32069432062[/C][C]5073[/C][C]5218.67930567938[/C][/ROW]
[ROW][C]WPA[/C][C]3229.51422676413[/C][C]3422.75[/C][C]3615.98577323587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165198&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165198&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
BC72.32122965456127679.6787703454388
NNZFG123.849721516386129134.150278483614
MRT15.19735919735881616.8026408026412
AFL302.186607099932318.82335.453392900068
LPM131.242033875365136.5141.757966124635
LPC105.793790417122109.91114.026209582878
W4927.3206943206250735218.67930567938
WPA3229.514226764133422.753615.98577323587



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