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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 17 Dec 2014 11:39:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/17/t14188163568kesy81dszw4rzx.htm/, Retrieved Thu, 16 May 2024 07:31:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270055, Retrieved Thu, 16 May 2024 07:31:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Boxplots 2012 I& E] [2014-12-17 11:39:03] [7b792ce1af47062a6096c2fc33a2a3bc] [Current]
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Dataseries X:
24 16 12 26 11 20
22 16 17 18 20 18
26 25 21 28 22 21
11 12 10 14 19 23
24 20 22 27 8 27
28 19 19 24 15 20
23 22 19 22 14 21
19 12 9 21 21 24
18 17 11 24 18 21
23 18 17 26 18 25
17 24 10 17 17 14
15 18 17 23 20 23
21 18 13 21 24 28
20 23 11 21 22 24
26 21 19 24 15 22
19 21 21 22 22 24
28 28 24 24 26 25
21 17 13 24 17 21
19 21 16 24 23 22
20 18 15 24 23 27
17 17 13 23 16 24
20 18 12 24 13 21
17 14 8 21 18 19
21 20 17 23 21 28
12 14 9 20 23 19
23 17 18 23 16 23
22 21 17 23 17 25
22 23 17 23 20 26
21 24 18 23 18 25
20 21 12 27 20 25
18 14 14 19 19 24
21 24 22 25 26 24
24 16 19 25 9 24
22 21 21 21 23 22
20 8 10 25 9 21
17 17 16 17 13 17
16 17 15 23 22 17
19 16 12 27 12 25
23 22 21 27 18 19
22 21 20 19 17 14
15 20 9 23 22 25
21 8 14 25 19 25
18 11 9 16 17 15
23 15 18 23 18 25
20 13 12 25 24 24
21 18 11 26 20 28
21 19 14 24 18 24
22 22 11 27 25 26
15 11 11 19 16 25
19 14 13 20 23 26
18 21 12 21 24 20
20 21 23 26 26 26
18 18 11 21 21 21
22 21 19 25 23 23
25 23 19 27 28 25
23 20 13 26 24 23
21 21 23 25 22 22
19 18 13 28 28 28
21 19 17 22 18 24
16 18 13 21 23 14
21 18 8 24 15 20
22 19 16 26 24 28
18 18 14 23 18 26
4 11 7 15 20 25
22 20 17 22 20 24
17 20 19 25 25 24
20 21 12 24 25 23
18 12 12 21 14 20
19 15 18 17 16 16
20 18 16 26 24 24
15 14 15 20 13 20
24 18 20 22 19 23
21 16 16 24 18 23
19 19 12 23 16 18
19 7 10 22 8 21
27 21 28 28 27 25
23 24 19 21 23 23
23 21 18 24 20 26
20 20 19 28 20 26
17 22 8 25 26 24
21 17 17 24 23 23
23 19 16 24 24 21
22 20 18 21 21 23
20 20 17 26 22 23
16 16 13 16 25 24
20 17 15 22 14 15
6 6 4 24 5 27
15 22 9 19 25 23
18 20 18 25 21 23
21 17 12 24 9 22
23 20 16 28 15 20
20 23 17 23 23 21
20 18 14 19 21 25
18 13 13 19 9 19
25 22 20 27 24 25
16 20 16 24 16 24
20 20 15 26 20 22
14 13 10 21 15 28
22 16 16 25 18 22
20 16 15 19 21 23
17 15 16 20 21 19
22 19 19 26 21 21
22 19 9 27 20 25
20 24 19 23 24 23
17 9 7 18 15 28
22 22 23 23 24 14
17 15 14 21 18 23
22 22 10 23 24 24
21 22 16 22 24 25
25 24 12 21 15 15
19 21 7 24 20 26
24 25 20 26 26 21
17 26 9 24 26 26
22 19 14 26 18 15
22 21 12 22 23 23
17 14 10 20 13 15
26 28 19 20 16 16
19 16 16 20 19 20
20 21 11 18 22 20
19 16 15 18 21 20
21 16 14 25 11 21
24 25 11 28 23 28
21 21 14 23 18 19
19 22 15 20 19 21
13 9 7 22 15 22
27 24 22 23 21 17
22 22 11 20 25 26
21 10 12 24 12 22
22 22 17 18 24 17
22 21 13 23 19 16
21 20 15 21 21 18
19 17 11 19 19 17
11 7 7 19 18 25
19 14 13 25 23 21
21 23 7 18 23 27
19 18 11 22 27 23
8 17 22 5 6 8
23 20 15 24 22 22
17 19 15 28 23 28
25 19 11 27 20 24
24 23 10 23 23 25
22 20 18 24 27 23
23 19 14 25 24 26
17 16 16 19 12 22
24 11 8 14 16 20
22 21 16 24 24 22
21 20 17 28 24 26
19 20 14 19 19 21
19 19 10 23 28 21
16 19 16 23 23 24
23 20 16 26 19 18
23 22 17 25 23 26
20 19 12 24 20 23
24 23 17 23 18 25
25 16 11 22 20 20
20 18 12 26 21 26
23 23 8 23 25 19
21 20 17 22 18 21
23 23 17 22 28 24
11 13 7 17 9 6
27 26 18 22 26 21
22 19 13 21 22 17
16 13 14 26 12 19
18 10 13 24 12 24
23 21 19 27 20 21
24 24 15 22 25 21
20 21 15 23 24 26
20 23 8 22 23 24
14 16 11 20 22 23
23 26 17 27 28 26
16 16 12 20 15 20




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=270055&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=270055&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270055&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
AMS.I11218212228
AMS.I2916192128
AMS.I3411151724
AMS.E11521232528
AMS.E2817202328
AMS.E31420232528

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
AMS.I1 & 12 & 18 & 21 & 22 & 28 \tabularnewline
AMS.I2 & 9 & 16 & 19 & 21 & 28 \tabularnewline
AMS.I3 & 4 & 11 & 15 & 17 & 24 \tabularnewline
AMS.E1 & 15 & 21 & 23 & 25 & 28 \tabularnewline
AMS.E2 & 8 & 17 & 20 & 23 & 28 \tabularnewline
AMS.E3 & 14 & 20 & 23 & 25 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270055&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]AMS.I1[/C][C]12[/C][C]18[/C][C]21[/C][C]22[/C][C]28[/C][/ROW]
[ROW][C]AMS.I2[/C][C]9[/C][C]16[/C][C]19[/C][C]21[/C][C]28[/C][/ROW]
[ROW][C]AMS.I3[/C][C]4[/C][C]11[/C][C]15[/C][C]17[/C][C]24[/C][/ROW]
[ROW][C]AMS.E1[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]AMS.E2[/C][C]8[/C][C]17[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]AMS.E3[/C][C]14[/C][C]20[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270055&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270055&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
AMS.I11218212228
AMS.I2916192128
AMS.I3411151724
AMS.E11521232528
AMS.E2817202328
AMS.E31420232528







Boxplot Notches
Variablelower boundmedianupper bound
AMS.I120.5166975206462121.483302479354
AMS.I218.39587190080751919.6041280991925
AMS.I314.2750462809691515.724953719031
AMS.E122.5166975206462323.483302479354
AMS.E219.2750462809692020.724953719031
AMS.E322.39587190080752323.6041280991925

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
AMS.I1 & 20.516697520646 & 21 & 21.483302479354 \tabularnewline
AMS.I2 & 18.3958719008075 & 19 & 19.6041280991925 \tabularnewline
AMS.I3 & 14.275046280969 & 15 & 15.724953719031 \tabularnewline
AMS.E1 & 22.516697520646 & 23 & 23.483302479354 \tabularnewline
AMS.E2 & 19.275046280969 & 20 & 20.724953719031 \tabularnewline
AMS.E3 & 22.3958719008075 & 23 & 23.6041280991925 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270055&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]AMS.I1[/C][C]20.516697520646[/C][C]21[/C][C]21.483302479354[/C][/ROW]
[ROW][C]AMS.I2[/C][C]18.3958719008075[/C][C]19[/C][C]19.6041280991925[/C][/ROW]
[ROW][C]AMS.I3[/C][C]14.275046280969[/C][C]15[/C][C]15.724953719031[/C][/ROW]
[ROW][C]AMS.E1[/C][C]22.516697520646[/C][C]23[/C][C]23.483302479354[/C][/ROW]
[ROW][C]AMS.E2[/C][C]19.275046280969[/C][C]20[/C][C]20.724953719031[/C][/ROW]
[ROW][C]AMS.E3[/C][C]22.3958719008075[/C][C]23[/C][C]23.6041280991925[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270055&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270055&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
AMS.I120.5166975206462121.483302479354
AMS.I218.39587190080751919.6041280991925
AMS.I314.2750462809691515.724953719031
AMS.E122.5166975206462323.483302479354
AMS.E219.2750462809692020.724953719031
AMS.E322.39587190080752323.6041280991925



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')