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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, 01 May 2012 13:06:40 -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/01/t13358973950vc2reosnjitqs8.htm/, Retrieved Sat, 04 May 2024 16:10:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=165715, Retrieved Sat, 04 May 2024 16:10:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Male Bachelor Act...] [2012-05-01 17:06:40] [614dd89c388120cee0dd25886939832b] [Current]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 19:32:15] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 19:42:23] [15a5dd358825f04074b70fc847ec6454]
-   P     [Notched Boxplots] [Female Bachelor A...] [2012-05-01 19:51:25] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 19:53:22] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Data Mining] [Correlation Actua...] [2012-05-01 19:58:38] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Data Mining] [Correlation Actua...] [2012-05-01 20:01:03] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Data Mining] [Correlation Actua...] [2012-05-01 20:02:10] [15a5dd358825f04074b70fc847ec6454]
-   P     [Notched Boxplots] [Notched Boxplots ...] [2012-05-01 20:03:09] [15a5dd358825f04074b70fc847ec6454]
-   P     [Notched Boxplots] [Notched Boxplots ...] [2012-05-01 20:03:50] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 20:04:43] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 20:05:53] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 20:07:42] [15a5dd358825f04074b70fc847ec6454]
-   P     [Notched Boxplots] [Notched Boxplots ...] [2012-05-01 20:09:49] [15a5dd358825f04074b70fc847ec6454]
-   P     [Notched Boxplots] [Notched Boxplots ...] [2012-05-01 20:10:56] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 20:12:17] [15a5dd358825f04074b70fc847ec6454]
- RMP     [Hierarchical Clustering] [Hierarchical Clus...] [2012-05-01 20:14:09] [15a5dd358825f04074b70fc847ec6454]
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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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165715&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165715&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165715&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'Herman Ole Andreas Wold' @ wold.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
C144444
C323455
C534455
C72344.55
C923445
C1144444
C1333.5444
C1523445
C1723445
C1923445
C2123345
C2323445
C2523445
C2723445
C2923445
C3133.5444
C3323445
C3523445
C3723445
C3923445
C4133.5444
C4333.5444
C4533.5444
C4733.5444

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
C1 & 4 & 4 & 4 & 4 & 4 \tabularnewline
C3 & 2 & 3 & 4 & 5 & 5 \tabularnewline
C5 & 3 & 4 & 4 & 5 & 5 \tabularnewline
C7 & 2 & 3 & 4 & 4.5 & 5 \tabularnewline
C9 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C11 & 4 & 4 & 4 & 4 & 4 \tabularnewline
C13 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
C15 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C17 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C19 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C21 & 2 & 3 & 3 & 4 & 5 \tabularnewline
C23 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C25 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C27 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C29 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C31 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
C33 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C35 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C37 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C39 & 2 & 3 & 4 & 4 & 5 \tabularnewline
C41 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
C43 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
C45 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
C47 & 3 & 3.5 & 4 & 4 & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165715&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]C1[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C3[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]C5[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][C]5[/C][/ROW]
[ROW][C]C7[/C][C]2[/C][C]3[/C][C]4[/C][C]4.5[/C][C]5[/C][/ROW]
[ROW][C]C9[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C11[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C13[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C15[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C17[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C19[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C21[/C][C]2[/C][C]3[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C23[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C25[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C27[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C29[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C31[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C33[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C35[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C37[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C39[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]C41[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C43[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C45[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C47[/C][C]3[/C][C]3.5[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165715&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165715&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
C144444
C323455
C534455
C72344.55
C923445
C1144444
C1333.5444
C1523445
C1723445
C1923445
C2123345
C2323445
C2523445
C2723445
C2923445
C3133.5444
C3323445
C3523445
C3723445
C3923445
C4133.5444
C4333.5444
C4533.5444
C4733.5444







Boxplot Notches
Variablelower boundmedianupper bound
C1444
C33.5575114934471544.44248850655285
C53.7787557467235744.22124425327643
C73.6681336200853644.33186637991464
C93.7787557467235744.22124425327643
C11444
C133.8893778733617944.11062212663821
C153.7787557467235744.22124425327643
C173.7787557467235744.22124425327643
C193.7787557467235744.22124425327643
C212.7787557467235733.22124425327643
C233.7787557467235744.22124425327643
C253.7787557467235744.22124425327643
C273.7787557467235744.22124425327643
C293.7787557467235744.22124425327643
C313.8893778733617944.11062212663821
C333.7787557467235744.22124425327643
C353.7787557467235744.22124425327643
C373.7787557467235744.22124425327643
C393.7787557467235744.22124425327643
C413.8893778733617944.11062212663821
C433.8893778733617944.11062212663821
C453.8893778733617944.11062212663821
C473.8893778733617944.11062212663821

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
C1 & 4 & 4 & 4 \tabularnewline
C3 & 3.55751149344715 & 4 & 4.44248850655285 \tabularnewline
C5 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C7 & 3.66813362008536 & 4 & 4.33186637991464 \tabularnewline
C9 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C11 & 4 & 4 & 4 \tabularnewline
C13 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
C15 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C17 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C19 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C21 & 2.77875574672357 & 3 & 3.22124425327643 \tabularnewline
C23 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C25 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C27 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C29 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C31 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
C33 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C35 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C37 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C39 & 3.77875574672357 & 4 & 4.22124425327643 \tabularnewline
C41 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
C43 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
C45 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
C47 & 3.88937787336179 & 4 & 4.11062212663821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=165715&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]C1[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C3[/C][C]3.55751149344715[/C][C]4[/C][C]4.44248850655285[/C][/ROW]
[ROW][C]C5[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C7[/C][C]3.66813362008536[/C][C]4[/C][C]4.33186637991464[/C][/ROW]
[ROW][C]C9[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C11[/C][C]4[/C][C]4[/C][C]4[/C][/ROW]
[ROW][C]C13[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[ROW][C]C15[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C17[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C19[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C21[/C][C]2.77875574672357[/C][C]3[/C][C]3.22124425327643[/C][/ROW]
[ROW][C]C23[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C25[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C27[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C29[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C31[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[ROW][C]C33[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C35[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C37[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C39[/C][C]3.77875574672357[/C][C]4[/C][C]4.22124425327643[/C][/ROW]
[ROW][C]C41[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[ROW][C]C43[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[ROW][C]C45[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[ROW][C]C47[/C][C]3.88937787336179[/C][C]4[/C][C]4.11062212663821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=165715&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=165715&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
C1444
C33.5575114934471544.44248850655285
C53.7787557467235744.22124425327643
C73.6681336200853644.33186637991464
C93.7787557467235744.22124425327643
C11444
C133.8893778733617944.11062212663821
C153.7787557467235744.22124425327643
C173.7787557467235744.22124425327643
C193.7787557467235744.22124425327643
C212.7787557467235733.22124425327643
C233.7787557467235744.22124425327643
C253.7787557467235744.22124425327643
C273.7787557467235744.22124425327643
C293.7787557467235744.22124425327643
C313.8893778733617944.11062212663821
C333.7787557467235744.22124425327643
C353.7787557467235744.22124425327643
C373.7787557467235744.22124425327643
C393.7787557467235744.22124425327643
C413.8893778733617944.11062212663821
C433.8893778733617944.11062212663821
C453.8893778733617944.11062212663821
C473.8893778733617944.11062212663821



Parameters (Session):
par1 = yellow ; par2 = male ; par3 = bachelor ; par4 = 2 ; par5 = COLLES actuals ;
Parameters (R input):
par1 = yellow ; par2 = male ; par3 = bachelor ; par4 = 2 ; par5 = COLLES actuals ;
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')