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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 21 Oct 2011 16:00:09 -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/2011/Oct/21/t1319227279s4ngzkkhy4o2dwr.htm/, Retrieved Fri, 10 May 2024 07:40:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=133669, Retrieved Fri, 10 May 2024 07:40:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- R  D        [Notched Boxplots] [] [2011-10-21 20:00:09] [43f1c1fe5c2aaa4d7bd6f731e1a494da] [Current]
-    D          [Notched Boxplots] [] [2011-10-21 20:04:22] [1dc3906a3b5a6ec06dc921f387100c9e]
-    D            [Notched Boxplots] [] [2011-10-21 20:06:21] [1dc3906a3b5a6ec06dc921f387100c9e]
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Dataseries X:
26	NA	21	NA	21	NA	23	NA	17	NA	23	NA	4	NA
20	NA	16	NA	15	NA	24	NA	17	NA	20	NA	4	NA
19	NA	19	NA	18	NA	22	NA	18	NA	20	NA	6	NA
NA	19	NA	18	NA	11	NA	20	NA	21	NA	21	NA	8
20	NA	16	NA	8	NA	24	NA	20	NA	24	NA	8	NA
25	NA	23	NA	19	NA	27	NA	28	NA	22	NA	4	NA
NA	25	NA	17	NA	4	NA	28	NA	19	NA	23	NA	4
22	NA	12	NA	20	NA	27	NA	22	NA	20	NA	8	NA
26	NA	19	NA	16	NA	24	NA	16	NA	25	NA	5	NA
22	NA	16	NA	14	NA	23	NA	18	NA	23	NA	4	NA
NA	17	NA	19	NA	10	NA	24	NA	25	NA	27	NA	4
NA	22	NA	20	NA	13	NA	27	NA	17	NA	27	NA	4
19	NA	13	NA	14	NA	27	NA	14	NA	22	NA	4	NA
24	NA	20	NA	8	NA	28	NA	11	NA	24	NA	4	NA
26	NA	27	NA	23	NA	27	NA	27	NA	25	NA	4	NA
NA	21	NA	17	NA	11	NA	23	NA	20	NA	22	NA	8
13	NA	8	NA	9	NA	24	NA	22	NA	28	NA	4	NA
NA	26	NA	25	NA	24	NA	28	NA	22	NA	28	NA	4
NA	20	NA	26	NA	5	NA	27	NA	21	NA	27	NA	4
22	NA	13	NA	15	NA	25	NA	23	NA	25	NA	8	NA
NA	14	NA	19	NA	5	NA	19	NA	17	NA	16	NA	4
21	NA	15	NA	19	NA	24	NA	24	NA	28	NA	7	NA
7	NA	5	NA	6	NA	20	NA	14	NA	21	NA	4	NA
NA	23	NA	16	NA	13	NA	28	NA	17	NA	24	NA	4
17	NA	14	NA	11	NA	26	NA	23	NA	27	NA	5	NA
25	NA	24	NA	17	NA	23	NA	24	NA	14	NA	4	NA
25	NA	24	NA	17	NA	23	NA	24	NA	14	NA	4	NA
19	NA	9	NA	5	NA	20	NA	8	NA	27	NA	4	NA
NA	20	NA	19	NA	9	NA	11	NA	22	NA	20	NA	4
23	NA	19	NA	15	NA	24	NA	23	NA	21	NA	4	NA
NA	22	NA	25	NA	17	NA	25	NA	25	NA	22	NA	4
22	NA	19	NA	17	NA	23	NA	21	NA	21	NA	4	NA
21	NA	18	NA	20	NA	18	NA	24	NA	12	NA	15	NA
NA	15	NA	15	NA	12	NA	20	NA	15	NA	20	NA	10
NA	20	NA	12	NA	7	NA	20	NA	22	NA	24	NA	4
NA	22	NA	21	NA	16	NA	24	NA	21	NA	19	NA	8
18	NA	12	NA	7	NA	23	NA	25	NA	28	NA	4	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133669&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133669&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I1M13192224.526
I1F151920.52226
I2M5131619.527
I2F1217192126
I3M5101518.523
I3F47111317
E1M20232425.528
E1F1120242728
E2M817222428
E2F1517212225
E3M1420.5232528
E3F162022.52728
AM4445.57
AF444810

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1M & 13 & 19 & 22 & 24.5 & 26 \tabularnewline
I1F & 15 & 19 & 20.5 & 22 & 26 \tabularnewline
I2M & 5 & 13 & 16 & 19.5 & 27 \tabularnewline
I2F & 12 & 17 & 19 & 21 & 26 \tabularnewline
I3M & 5 & 10 & 15 & 18.5 & 23 \tabularnewline
I3F & 4 & 7 & 11 & 13 & 17 \tabularnewline
E1M & 20 & 23 & 24 & 25.5 & 28 \tabularnewline
E1F & 11 & 20 & 24 & 27 & 28 \tabularnewline
E2M & 8 & 17 & 22 & 24 & 28 \tabularnewline
E2F & 15 & 17 & 21 & 22 & 25 \tabularnewline
E3M & 14 & 20.5 & 23 & 25 & 28 \tabularnewline
E3F & 16 & 20 & 22.5 & 27 & 28 \tabularnewline
AM & 4 & 4 & 4 & 5.5 & 7 \tabularnewline
AF & 4 & 4 & 4 & 8 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133669&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]I1M[/C][C]13[/C][C]19[/C][C]22[/C][C]24.5[/C][C]26[/C][/ROW]
[ROW][C]I1F[/C][C]15[/C][C]19[/C][C]20.5[/C][C]22[/C][C]26[/C][/ROW]
[ROW][C]I2M[/C][C]5[/C][C]13[/C][C]16[/C][C]19.5[/C][C]27[/C][/ROW]
[ROW][C]I2F[/C][C]12[/C][C]17[/C][C]19[/C][C]21[/C][C]26[/C][/ROW]
[ROW][C]I3M[/C][C]5[/C][C]10[/C][C]15[/C][C]18.5[/C][C]23[/C][/ROW]
[ROW][C]I3F[/C][C]4[/C][C]7[/C][C]11[/C][C]13[/C][C]17[/C][/ROW]
[ROW][C]E1M[/C][C]20[/C][C]23[/C][C]24[/C][C]25.5[/C][C]28[/C][/ROW]
[ROW][C]E1F[/C][C]11[/C][C]20[/C][C]24[/C][C]27[/C][C]28[/C][/ROW]
[ROW][C]E2M[/C][C]8[/C][C]17[/C][C]22[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E2F[/C][C]15[/C][C]17[/C][C]21[/C][C]22[/C][C]25[/C][/ROW]
[ROW][C]E3M[/C][C]14[/C][C]20.5[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E3F[/C][C]16[/C][C]20[/C][C]22.5[/C][C]27[/C][C]28[/C][/ROW]
[ROW][C]AM[/C][C]4[/C][C]4[/C][C]4[/C][C]5.5[/C][C]7[/C][/ROW]
[ROW][C]AF[/C][C]4[/C][C]4[/C][C]4[/C][C]8[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133669&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
I1M13192224.526
I1F151920.52226
I2M5131619.527
I2F1217192126
I3M5101518.523
I3F47111317
E1M20232425.528
E1F1120242728
E2M817222428
E2F1517212225
E3M1420.5232528
E3F162022.52728
AM4445.57
AF444810







Boxplot Notches
Variablelower boundmedianupper bound
I1M20.1880097418442223.811990258156
I1F19.233181713335120.521.7668182866649
I2M13.85855696763381618.1414430323662
I2F17.31090895111351920.6890910488865
I3M12.19965141921351517.8003485807865
I3F8.466363426670221113.5336365733298
E1M23.17636806447462424.8236319355254
E1F21.04409066444862426.9559093355514
E2M19.69383058052882224.3061694194712
E2F18.88863618889182123.1113638111082
E3M21.51746251605422324.4825374839458
E3F19.544090664448622.525.4559093355514
AM3.5058208386847344.49417916131527
AF2.3109089511134845.68909104888652

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1M & 20.188009741844 & 22 & 23.811990258156 \tabularnewline
I1F & 19.2331817133351 & 20.5 & 21.7668182866649 \tabularnewline
I2M & 13.8585569676338 & 16 & 18.1414430323662 \tabularnewline
I2F & 17.3109089511135 & 19 & 20.6890910488865 \tabularnewline
I3M & 12.1996514192135 & 15 & 17.8003485807865 \tabularnewline
I3F & 8.46636342667022 & 11 & 13.5336365733298 \tabularnewline
E1M & 23.1763680644746 & 24 & 24.8236319355254 \tabularnewline
E1F & 21.0440906644486 & 24 & 26.9559093355514 \tabularnewline
E2M & 19.6938305805288 & 22 & 24.3061694194712 \tabularnewline
E2F & 18.8886361888918 & 21 & 23.1113638111082 \tabularnewline
E3M & 21.5174625160542 & 23 & 24.4825374839458 \tabularnewline
E3F & 19.5440906644486 & 22.5 & 25.4559093355514 \tabularnewline
AM & 3.50582083868473 & 4 & 4.49417916131527 \tabularnewline
AF & 2.31090895111348 & 4 & 5.68909104888652 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133669&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]I1M[/C][C]20.188009741844[/C][C]22[/C][C]23.811990258156[/C][/ROW]
[ROW][C]I1F[/C][C]19.2331817133351[/C][C]20.5[/C][C]21.7668182866649[/C][/ROW]
[ROW][C]I2M[/C][C]13.8585569676338[/C][C]16[/C][C]18.1414430323662[/C][/ROW]
[ROW][C]I2F[/C][C]17.3109089511135[/C][C]19[/C][C]20.6890910488865[/C][/ROW]
[ROW][C]I3M[/C][C]12.1996514192135[/C][C]15[/C][C]17.8003485807865[/C][/ROW]
[ROW][C]I3F[/C][C]8.46636342667022[/C][C]11[/C][C]13.5336365733298[/C][/ROW]
[ROW][C]E1M[/C][C]23.1763680644746[/C][C]24[/C][C]24.8236319355254[/C][/ROW]
[ROW][C]E1F[/C][C]21.0440906644486[/C][C]24[/C][C]26.9559093355514[/C][/ROW]
[ROW][C]E2M[/C][C]19.6938305805288[/C][C]22[/C][C]24.3061694194712[/C][/ROW]
[ROW][C]E2F[/C][C]18.8886361888918[/C][C]21[/C][C]23.1113638111082[/C][/ROW]
[ROW][C]E3M[/C][C]21.5174625160542[/C][C]23[/C][C]24.4825374839458[/C][/ROW]
[ROW][C]E3F[/C][C]19.5440906644486[/C][C]22.5[/C][C]25.4559093355514[/C][/ROW]
[ROW][C]AM[/C][C]3.50582083868473[/C][C]4[/C][C]4.49417916131527[/C][/ROW]
[ROW][C]AF[/C][C]2.31090895111348[/C][C]4[/C][C]5.68909104888652[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133669&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133669&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
I1M20.1880097418442223.811990258156
I1F19.233181713335120.521.7668182866649
I2M13.85855696763381618.1414430323662
I2F17.31090895111351920.6890910488865
I3M12.19965141921351517.8003485807865
I3F8.466363426670221113.5336365733298
E1M23.17636806447462424.8236319355254
E1F21.04409066444862426.9559093355514
E2M19.69383058052882224.3061694194712
E2F18.88863618889182123.1113638111082
E3M21.51746251605422324.4825374839458
E3F19.544090664448622.525.4559093355514
AM3.5058208386847344.49417916131527
AF2.3109089511134845.68909104888652



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
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')