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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 computationSun, 08 Nov 2009 10:22:13 -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/08/t1257701209rvlez96py9v4xtx.htm/, Retrieved Sat, 04 May 2024 07:56:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54613, Retrieved Sat, 04 May 2024 07:56:43 +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] [] [2009-11-08 17:22:13] [6dfcce621b31349cab7f0d189e6f8a9d] [Current]
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Dataseries X:
97.4	96.4	89.8	96.5
97	92	86	96.1
105.4	102	92.7	96.3
102.7	99.7	126.8	96.1
98.1	102	92.8	95.4
104.5	98.9	87.8	95.3
87.4	87.4	100	93.9
89.9	94.4	72.4	94
109.8	109.3	104.9	93.6
111.7	116.4	52.3	93.5
98.6	101	65.3	93.5
96.9	105.5	110.2	93.5
95.1	97.8	54.4	93
97	95.5	47.5	93.1
112.7	113.7	65.2	93.3
102.9	103.7	69.8	93.2
97.4	100.8	53.6	93.1
111.4	113.8	116.1	93.1
87.4	84.6	56.6	93.2
96.8	95.3	47.2	93
114.1	110	90.6	93.1
110.3	107.5	60.4	93.2
103.9	107.6	59.3	93.1
101.6	116	131.6	93.1
94.6	96.9	59.4	93.1
95.9	97	65.5	92.3
104.7	108.1	70.5	92.3
102.8	101.9	81	92.3
98.1	107.2	73.3	92.3
113.9	110.2	107.5	92.1
80.9	78.7	88.9	92.1
95.7	96.5	55.8	92.1
113.2	115.2	80.5	92
105.9	104.7	86.3	92
108.8	109.1	112.6	92.3
102.3	108.4	148.6	93.3
99	95.5	47.1	92.4
100.7	97.8	57.8	92.6
115.5	115.1	81	92.7
100.7	96.2	60.1	92.4
109.9	112	76.1	92.2
114.6	111.8	82.5	92.7
85.4	82.5	66.8	92.7
100.5	100.8	58.7	92.8
114.8	116	54.2	92.8
116.5	116.3	103.3	92.8
112.9	116.6	77.8	92.7
102	112.9	118.4	92.8
106	100.9	64.9	93.6
105.3	104.1	40.8	93.4
118.8	117.4	77.7	93.8
106.1	103.3	66.2	93.8
109.3	111.6	68.6	93.9
117.2	115	81.9	94
92.5	91	62.5	93.9
104.2	104.8	59.2	93.9
112.5	114.1	71.8	94.1
122.4	124.2	69.8	94.2
113.3	117.8	81.4	94.3
100	109.8	153.8	94.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54613&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54613&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54613&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
ip80.997.4103.4111.55122.4
ppku78.797.4104.75112.45124.2
ipku40.859.7572.8590.2131.6
afzetprijs9292.793.193.995.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
ip & 80.9 & 97.4 & 103.4 & 111.55 & 122.4 \tabularnewline
ppku & 78.7 & 97.4 & 104.75 & 112.45 & 124.2 \tabularnewline
ipku & 40.8 & 59.75 & 72.85 & 90.2 & 131.6 \tabularnewline
afzetprijs & 92 & 92.7 & 93.1 & 93.9 & 95.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54613&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]ip[/C][C]80.9[/C][C]97.4[/C][C]103.4[/C][C]111.55[/C][C]122.4[/C][/ROW]
[ROW][C]ppku[/C][C]78.7[/C][C]97.4[/C][C]104.75[/C][C]112.45[/C][C]124.2[/C][/ROW]
[ROW][C]ipku[/C][C]40.8[/C][C]59.75[/C][C]72.85[/C][C]90.2[/C][C]131.6[/C][/ROW]
[ROW][C]afzetprijs[/C][C]92[/C][C]92.7[/C][C]93.1[/C][C]93.9[/C][C]95.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54613&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54613&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
ip80.997.4103.4111.55122.4
ppku78.797.4104.75112.45124.2
ipku40.859.7572.8590.2131.6
afzetprijs9292.793.193.995.4







Boxplot Notches
Variablelower boundmedianupper bound
ip100.513723710961103.4106.286276289039
ppku101.680144300351104.75107.819855699649
ipku66.638896607687272.8579.0611033923128
afzetprijs92.855227452519793.193.3447725474803

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
ip & 100.513723710961 & 103.4 & 106.286276289039 \tabularnewline
ppku & 101.680144300351 & 104.75 & 107.819855699649 \tabularnewline
ipku & 66.6388966076872 & 72.85 & 79.0611033923128 \tabularnewline
afzetprijs & 92.8552274525197 & 93.1 & 93.3447725474803 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54613&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]ip[/C][C]100.513723710961[/C][C]103.4[/C][C]106.286276289039[/C][/ROW]
[ROW][C]ppku[/C][C]101.680144300351[/C][C]104.75[/C][C]107.819855699649[/C][/ROW]
[ROW][C]ipku[/C][C]66.6388966076872[/C][C]72.85[/C][C]79.0611033923128[/C][/ROW]
[ROW][C]afzetprijs[/C][C]92.8552274525197[/C][C]93.1[/C][C]93.3447725474803[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54613&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54613&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
ip100.513723710961103.4106.286276289039
ppku101.680144300351104.75107.819855699649
ipku66.638896607687272.8579.0611033923128
afzetprijs92.855227452519793.193.3447725474803



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')