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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 computationTue, 13 Jan 2015 12:56:28 +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/2015/Jan/13/t1421153828zrd0txuz0crjezl.htm/, Retrieved Wed, 15 May 2024 01:31:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272104, Retrieved Wed, 15 May 2024 01:31:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram] [2015-01-13 11:33:33] [9ecaa0fefb0ae88b4782d69916cabb9e]
- RMPD    [Notched Boxplots] [boxplots] [2015-01-13 12:56:28] [10320d42b3a1ca1321e6e126fa928a8a] [Current]
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Dataseries X:
41 34 38 30
39 33 32 28
30 29 35 31
31 34 33 35
34 32 37 35
35 35 29 37
39 41 31 39
34 27 36 31
36 40 35 38
37 40 38 37
38 36 31 37
36 40 34 35
38 43 35 37
39 40 38 42
33 33 37 28
32 37 33 37
36 32 32 36
38 26 38 37
39 36 38 33
32 39 32 40
32 38 33 30
31 34 31 36
39 35 38 33
37 41 39 40
39 42 32 37
41 36 32 37
36 39 35 39
33 33 37 35
33 33 33 36
34 36 33 34
31 37 28 36
27 36 32 32
37 34 31 33
34 32 37 27
34 35 30 37
32 39 33 32
29 30 31 31
36 25 33 31
29 29 31 32
35 39 33 37
37 31 32 25
34 26 33 30
38 28 32 37
35 40 33 37
38 32 28 40
37 35 35 35
38 32 39 35
33 41 34 43
36 34 38 32
38 36 32 42
32 38 38 35
32 34 30 27
32 32 33 30
34 34 38 31
32 32 32 36
37 40 32 36
39 43 34 41
29 35 34 34
37 45 36 36
35 36 34 33
30 39 28 35
38 31 34 28
34 36 35 33
31 36 35 38
34 37 31 37
35 40 37 39
36 35 35 34
30 36 27 32
39 32 40 36
35 36 37 36
38 37 36 35
31 42 38 33
34 37 39 42
38 36 41 36
34 36 27 33
39 33 30 36
37 37 37 32
34 35 31 35
28 37 31 38
37 28 27 33
33 33 36 32
37 45 38 38
35 38 37 39
37 43 33 39
32 37 34 39
33 36 31 30
38 40 39 38
33 39 34 38
29 43 32 42
33 32 33 41
31 37 36 31
36 34 32 39
35 44 41 40
32 35 28 31
29 34 30 34
39 37 36 23
37 40 35 28
35 36 31 36
37 44 34 41
32 35 36 29
38 34 36 31
37 40 35 33
36 34 37 35
32 39 28 35
33 36 39 34
40 40 32 40
38 37 35 34
41 35 39 36
36 45 35 35
43 39 42 39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272104&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272104&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272104&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Y2010C2732353843
UC2734363945
Y2010S2732343742
US2532353743

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Y2010C & 27 & 32 & 35 & 38 & 43 \tabularnewline
UC & 27 & 34 & 36 & 39 & 45 \tabularnewline
Y2010S & 27 & 32 & 34 & 37 & 42 \tabularnewline
US & 25 & 32 & 35 & 37 & 43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272104&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]Y2010C[/C][C]27[/C][C]32[/C][C]35[/C][C]38[/C][C]43[/C][/ROW]
[ROW][C]UC[/C][C]27[/C][C]34[/C][C]36[/C][C]39[/C][C]45[/C][/ROW]
[ROW][C]Y2010S[/C][C]27[/C][C]32[/C][C]34[/C][C]37[/C][C]42[/C][/ROW]
[ROW][C]US[/C][C]25[/C][C]32[/C][C]35[/C][C]37[/C][C]43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272104&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272104&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
Y2010C2732353843
UC2734363945
Y2010S2732343742
US2532353743







Boxplot Notches
Variablelower boundmedianupper bound
Y2010C34.09611746539523535.9038825346048
UC35.2467645544963636.753235445504
Y2010S33.2467645544963434.753235445504
US34.2467645544963535.753235445504

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Y2010C & 34.0961174653952 & 35 & 35.9038825346048 \tabularnewline
UC & 35.246764554496 & 36 & 36.753235445504 \tabularnewline
Y2010S & 33.246764554496 & 34 & 34.753235445504 \tabularnewline
US & 34.246764554496 & 35 & 35.753235445504 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272104&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]Y2010C[/C][C]34.0961174653952[/C][C]35[/C][C]35.9038825346048[/C][/ROW]
[ROW][C]UC[/C][C]35.246764554496[/C][C]36[/C][C]36.753235445504[/C][/ROW]
[ROW][C]Y2010S[/C][C]33.246764554496[/C][C]34[/C][C]34.753235445504[/C][/ROW]
[ROW][C]US[/C][C]34.246764554496[/C][C]35[/C][C]35.753235445504[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272104&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272104&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
Y2010C34.09611746539523535.9038825346048
UC35.2467645544963636.753235445504
Y2010S33.2467645544963434.753235445504
US34.2467645544963535.753235445504



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')