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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 computationThu, 12 Nov 2009 09:49:41 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/12/t1258045207zvqo8g6uyhuoz9o.htm/, Retrieved Sat, 04 May 2024 05:25:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56230, Retrieved Sat, 04 May 2024 05:25:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [consumptieprijsin...] [2009-11-12 16:49:41] [5c2088b06970f9a7d6fea063ee8d5871] [Current]
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Dataseries X:
1.6	-1	2.1	2.0
2.0	-1.6	-0.6	0.6
1.8	-1.9	-0.6	0.9
1.8	-1.6	-0.2	1.0
2.2	-2.5	-0.7	1.2
2.3	-0.4	-0.1	1.5
2.6	0.6	0.7	1.8
2.3	1.8	1.5	2.3
2.5	3.5	1.6	2.7
2.2	4.3	2.8	3.1
2.7	4.1	3.3	3.7
2.9	2.2	3.5	4.5
3.1	1.6	3.9	5.8
3.0	3.0	4.8	7.0
2.9	3.5	5.1	7.9
2.8	3.9	4.9	8.5
2.8	4.4	5.2	8.7
2.5	3.5	5.1	8.7
2.2	4.7	4.6	8.5
2.6	1.6	3.7	8.3
2.5	2.3	3.9	8.3
2.5	1.2	3.1	8.7
2.4	1.4	2.8	8.5
2.1	2.7	2.6	7.6
2.0	1.5	2.2	6.5
1.7	2.1	1.8	5.6
1.9	0.5	1.3	4.5
1.8	1.7	1.2	4.2
1.7	3.6	1.4	4.1
1.9	3.2	1.3	4.0
2.0	1.7	1.3	4.1
2.0	5.6	1.9	4.3
1.7	3.7	1.9	4.0
1.6	4.3	2.1	3.5
1.6	5.9	2.0	3.2
1.5	4.8	1.9	3.2
1.6	6.0	1.9	3.2
1.9	5.6	1.9	3.0
1.8	6.7	1.8	3.0
1.9	3.3	1.7	2.4
1.7	3.0	1.6	2.3
1.6	1.6	1.7	1.7
1.7	1.7	1.9	1.5
1.3	1.1	1.7	1.1
1.6	-0.3	1.3	0.8
1.1	3.0	2.0	1.0
1.7	2.7	2.0	1.5
1.6	1.8	2.3	1.9
1.5	1.5	2.0	1.8
1.3	1.0	1.7	1.9
1.4	0.5	2.3	1.7
1.1	2.8	2.4	1.8
1.5	1.4	2.4	1.6
1.3	1.7	2.3	2.2
1.1	2.6	2.1	2.2
1.5	1.9	2.1	2.3
1.2	3.9	2.5	2.3
1.4	1.5	2.0	2.2
1.1	-0.5	1.8	2.5
1.2	1.9	1.7	2.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56230&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56230&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56230&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
pvdg1.11.551.82.33.1
nbl-1.61.423.556.7
ncg0.71.6522.553.7
cbl0.61.82.854.58.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
pvdg & 1.1 & 1.55 & 1.8 & 2.3 & 3.1 \tabularnewline
nbl & -1.6 & 1.4 & 2 & 3.55 & 6.7 \tabularnewline
ncg & 0.7 & 1.65 & 2 & 2.55 & 3.7 \tabularnewline
cbl & 0.6 & 1.8 & 2.85 & 4.5 & 8.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56230&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]pvdg[/C][C]1.1[/C][C]1.55[/C][C]1.8[/C][C]2.3[/C][C]3.1[/C][/ROW]
[ROW][C]nbl[/C][C]-1.6[/C][C]1.4[/C][C]2[/C][C]3.55[/C][C]6.7[/C][/ROW]
[ROW][C]ncg[/C][C]0.7[/C][C]1.65[/C][C]2[/C][C]2.55[/C][C]3.7[/C][/ROW]
[ROW][C]cbl[/C][C]0.6[/C][C]1.8[/C][C]2.85[/C][C]4.5[/C][C]8.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56230&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56230&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
pvdg1.11.551.82.33.1
nbl-1.61.423.556.7
ncg0.71.6522.553.7
cbl0.61.82.854.58.5







Boxplot Notches
Variablelower boundmedianupper bound
pvdg1.647017157824811.81.95298284217519
nbl1.5614491857644522.43855081423555
ncg1.8164205893897722.18357941061023
cbl2.299261768169312.853.40073823183069

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
pvdg & 1.64701715782481 & 1.8 & 1.95298284217519 \tabularnewline
nbl & 1.56144918576445 & 2 & 2.43855081423555 \tabularnewline
ncg & 1.81642058938977 & 2 & 2.18357941061023 \tabularnewline
cbl & 2.29926176816931 & 2.85 & 3.40073823183069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56230&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]pvdg[/C][C]1.64701715782481[/C][C]1.8[/C][C]1.95298284217519[/C][/ROW]
[ROW][C]nbl[/C][C]1.56144918576445[/C][C]2[/C][C]2.43855081423555[/C][/ROW]
[ROW][C]ncg[/C][C]1.81642058938977[/C][C]2[/C][C]2.18357941061023[/C][/ROW]
[ROW][C]cbl[/C][C]2.29926176816931[/C][C]2.85[/C][C]3.40073823183069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56230&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56230&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
pvdg1.647017157824811.81.95298284217519
nbl1.5614491857644522.43855081423555
ncg1.8164205893897722.18357941061023
cbl2.299261768169312.853.40073823183069



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')