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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1dm.wasp

Title produced by software

Notched Boxplots

Date of computation

Thu, 26 Apr 2012 08:09:43 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Apr/26/t1335443138phzs5uwtgjtz5sx.htm/, Retrieved Mon, 29 Apr 2024 06:54:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164888, Retrieved Mon, 29 Apr 2024 06:54:26 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

109

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Notched Boxplots] [prep,attles] [2012-04-26 12:09:43] [685fae5a377cc1dc51f9f02306b751ce] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=164888&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=164888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164888&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
A1	2	3	4	4	5
A2	1	2	3	4	5
A3	2	3	4	4	5
A4	1	2.5	3	4	5
A5	2	3	4	4	5
A6	4	4	4	4	4
A7	2	3	4	4	5
A8	3	4	4	5	5
A9	1	2	3	3	4
A10	4	4	4	4	4
A11	2	3	4	4	5
A12	2	3	4	4	5
A13	1	3	4	5	5
A14	2	3	4	4	5
A15	2	3	4	4	5
A16	1	2	3	4	5
A17	2	3	4	4	5
A18	2	3	4	4	5
A19	2	3	4	4	5
A20	1	2	3	4	5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
A1 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A2 & 1 & 2 & 3 & 4 & 5 \tabularnewline
A3 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A4 & 1 & 2.5 & 3 & 4 & 5 \tabularnewline
A5 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A6 & 4 & 4 & 4 & 4 & 4 \tabularnewline
A7 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A8 & 3 & 4 & 4 & 5 & 5 \tabularnewline
A9 & 1 & 2 & 3 & 3 & 4 \tabularnewline
A10 & 4 & 4 & 4 & 4 & 4 \tabularnewline
A11 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A12 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A13 & 1 & 3 & 4 & 5 & 5 \tabularnewline
A14 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A15 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A16 & 1 & 2 & 3 & 4 & 5 \tabularnewline
A17 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A18 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A19 & 2 & 3 & 4 & 4 & 5 \tabularnewline
A20 & 1 & 2 & 3 & 4 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164888&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]A1[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A2[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A3[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A4[/C][C]1[/C][C]2.5[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A5[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A6[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]A7[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A8[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A9[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][/ROW]
[ROW][C]A10[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]A11[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A12[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A13[/C][C]1[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]A14[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A15[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A16[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A17[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A18[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A19[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]A20[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164888&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
A1	2	3	4	4	5
A2	1	2	3	4	5
A3	2	3	4	4	5
A4	1	2.5	3	4	5
A5	2	3	4	4	5
A6	4	4	4	4	4
A7	2	3	4	4	5
A8	3	4	4	5	5
A9	1	2	3	3	4
A10	4	4	4	4	4
A11	2	3	4	4	5
A12	2	3	4	4	5
A13	1	3	4	5	5
A14	2	3	4	4	5
A15	2	3	4	4	5
A16	1	2	3	4	5
A17	2	3	4	4	5
A18	2	3	4	4	5
A19	2	3	4	4	5
A20	1	2	3	4	5

Boxplot Notches
Variable	lower bound	median	upper bound
A1	3.93244407828018	4	4.06755592171982
A2	2.86488815656035	3	3.13511184343965
A3	3.93244407828018	4	4.06755592171982
A4	2.89866611742026	3	3.10133388257974
A5	3.93244407828018	4	4.06755592171982
A6	4	4	4
A7	3.93244407828018	4	4.06755592171982
A8	3.93244407828018	4	4.06755592171982
A9	2.93244407828018	3	3.06755592171982
A10	4	4	4
A11	3.93244407828018	4	4.06755592171982
A12	3.93244407828018	4	4.06755592171982
A13	3.86488815656035	4	4.13511184343965
A14	3.93244407828018	4	4.06755592171982
A15	3.93244407828018	4	4.06755592171982
A16	2.86488815656035	3	3.13511184343965
A17	3.93244407828018	4	4.06755592171982
A18	3.93244407828018	4	4.06755592171982
A19	3.93244407828018	4	4.06755592171982
A20	2.86488815656035	3	3.13511184343965

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
A1 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A2 & 2.86488815656035 & 3 & 3.13511184343965 \tabularnewline
A3 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A4 & 2.89866611742026 & 3 & 3.10133388257974 \tabularnewline
A5 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A6 & 4 & 4 & 4 \tabularnewline
A7 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A8 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A9 & 2.93244407828018 & 3 & 3.06755592171982 \tabularnewline
A10 & 4 & 4 & 4 \tabularnewline
A11 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A12 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A13 & 3.86488815656035 & 4 & 4.13511184343965 \tabularnewline
A14 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A15 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A16 & 2.86488815656035 & 3 & 3.13511184343965 \tabularnewline
A17 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A18 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A19 & 3.93244407828018 & 4 & 4.06755592171982 \tabularnewline
A20 & 2.86488815656035 & 3 & 3.13511184343965 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164888&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]A1[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A2[/C][C]2.86488815656035[/C][C]3[/C][C]3.13511184343965[/C][/ROW]
[ROW][C]A3[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A4[/C][C]2.89866611742026[/C][C]3[/C][C]3.10133388257974[/C][/ROW]
[ROW][C]A5[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A6[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]A7[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A8[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A9[/C][C]2.93244407828018[/C][C]3[/C][C]3.06755592171982[/C][/ROW]
[ROW][C]A10[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]A11[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A12[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A13[/C][C]3.86488815656035[/C][C]4[/C][C]4.13511184343965[/C][/ROW]
[ROW][C]A14[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A15[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A16[/C][C]2.86488815656035[/C][C]3[/C][C]3.13511184343965[/C][/ROW]
[ROW][C]A17[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A18[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A19[/C][C]3.93244407828018[/C][C]4[/C][C]4.06755592171982[/C][/ROW]
[ROW][C]A20[/C][C]2.86488815656035[/C][C]3[/C][C]3.13511184343965[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164888&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164888&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
Variable	lower bound	median	upper bound
A1	3.93244407828018	4	4.06755592171982
A2	2.86488815656035	3	3.13511184343965
A3	3.93244407828018	4	4.06755592171982
A4	2.89866611742026	3	3.10133388257974
A5	3.93244407828018	4	4.06755592171982
A6	4	4	4
A7	3.93244407828018	4	4.06755592171982
A8	3.93244407828018	4	4.06755592171982
A9	2.93244407828018	3	3.06755592171982
A10	4	4	4
A11	3.93244407828018	4	4.06755592171982
A12	3.93244407828018	4	4.06755592171982
A13	3.86488815656035	4	4.13511184343965
A14	3.93244407828018	4	4.06755592171982
A15	3.93244407828018	4	4.06755592171982
A16	2.86488815656035	3	3.13511184343965
A17	3.93244407828018	4	4.06755592171982
A18	3.93244407828018	4	4.06755592171982
A19	3.93244407828018	4	4.06755592171982
A20	2.86488815656035	3	3.13511184343965

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = all ; par3 = prep ; par4 = all ; par5 = ATTLES all ;

Parameters (R input):

par1 = grey ; par2 = all ; par3 = prep ; par4 = all ; par5 = ATTLES all ;

R code (references can be found in the software module):

par5 <- 'ATTLES all'
par4 <- 'all'
par3 <- 'prep'
par2 <- 'all'
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code