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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 computationFri, 13 Nov 2009 06:26:03 -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/13/t12581188287ka3xyoxlq427tk.htm/, Retrieved Sun, 05 May 2024 08:46:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56601, Retrieved Sun, 05 May 2024 08:46:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [WS 6.1] [2009-11-13 13:26:03] [29af64a72952b0c5025d716b5179273f] [Current]
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Dataseries X:
126,2	111,2	88,8	95,1
127,0	116,7	64,6	97,0
127,1	114,8	50,0	112,7
123,6	100,0	94,1	102,9
125,0	98,8	120,8	97,4
134,7	106,3	82,2	111,4
140,7	119,5	86,4	87,4
137,9	120,7	78,5	96,8
142,1	121,1	60,4	114,1
137,5	112,4	96,3	110,3
136,4	108,2	82,3	103,9
140,7	113,6	91,2	101,6
120,0	106,7	126,3	94,6
123,8	114,3	131,8	95,9
132,2	117,3	135,8	104,7
136,4	109,6	135,3	102,8
144,2	109,9	116,2	98,1
144,9	112,5	104,4	113,9
138,9	116,1	112,5	80,9
129,3	112,0	108,0	95,7
133,3	113,3	94,0	113,2
137,5	107,9	83,2	105,9
140,0	108,2	82,9	108,8
146,3	114,8	116,1	102,3
124,6	105,6	146,9	99,0
130,2	111,9	122,1	100,7
139,0	113,6	74,8	115,5
149,1	108,4	96,1	100,7
151,9	111,1	101,4	109,9
149,0	112,5	68,0	114,6
127,8	112,6	57,3	85,4
113,8	108,7	56,6	100,5
117,5	108,9	36,3	114,8
123,2	104,5	40,7	116,5
127,3	105,9	48,1	112,9
131,5	111,1	65,9	102,0
110,8	102,2	92,7	106,0
112,7	108,3	90,8	105,3
116,9	112,3	80,5	118,8
127,3	110,8	87,3	106,1
130,8	108,6	59,3	109,3
130,6	103,8	46,9	117,2
124,1	96,6	49,1	92,5
113,8	88,0	38,9	104,2
112,3	85,6	44,9	112,5
112,5	88,8	75,4	122,4
112,7	92,9	94,8	113,3
120,4	98,8	124,1	100,0
104,6	88,8	193,3	110,7
107,9	90,5	186,7	112,8
108,5	87,7	194,2	109,8
110,9	81,9	203,4	117,3
111,5	80,2	241,2	109,1
124,5	86,3	210,9	115,9
133,3	94,3	211,8	96,0
125,9	94,6	187,2	99,8
121,1	92,2	162,5	116,8
108,9	88,8	158,9	115,7
105,5	88,2	101,3	99,4
114,8	96,3	105,6	94,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56601&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56601&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' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WLMan104.6115.85127.05136.95151.9
WLVrouw80.295.45108.25112.45121.1
Infl36.371.494.05125.2203.4
Prod80.999.2105.6113.05122.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WLMan & 104.6 & 115.85 & 127.05 & 136.95 & 151.9 \tabularnewline
WLVrouw & 80.2 & 95.45 & 108.25 & 112.45 & 121.1 \tabularnewline
Infl & 36.3 & 71.4 & 94.05 & 125.2 & 203.4 \tabularnewline
Prod & 80.9 & 99.2 & 105.6 & 113.05 & 122.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56601&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]WLMan[/C][C]104.6[/C][C]115.85[/C][C]127.05[/C][C]136.95[/C][C]151.9[/C][/ROW]
[ROW][C]WLVrouw[/C][C]80.2[/C][C]95.45[/C][C]108.25[/C][C]112.45[/C][C]121.1[/C][/ROW]
[ROW][C]Infl[/C][C]36.3[/C][C]71.4[/C][C]94.05[/C][C]125.2[/C][C]203.4[/C][/ROW]
[ROW][C]Prod[/C][C]80.9[/C][C]99.2[/C][C]105.6[/C][C]113.05[/C][C]122.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56601&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
WLMan104.6115.85127.05136.95151.9
WLVrouw80.295.45108.25112.45121.1
Infl36.371.494.05125.2203.4
Prod80.999.2105.6113.05122.4







Boxplot Notches
Variablelower boundmedianupper bound
WLMan122.746082706805127.05131.353917293195
WLVrouw104.782388910696108.25111.717611089304
Infl83.076030787966294.05105.023969212034
Prod102.774916847831105.6108.425083152169

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WLMan & 122.746082706805 & 127.05 & 131.353917293195 \tabularnewline
WLVrouw & 104.782388910696 & 108.25 & 111.717611089304 \tabularnewline
Infl & 83.0760307879662 & 94.05 & 105.023969212034 \tabularnewline
Prod & 102.774916847831 & 105.6 & 108.425083152169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56601&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]WLMan[/C][C]122.746082706805[/C][C]127.05[/C][C]131.353917293195[/C][/ROW]
[ROW][C]WLVrouw[/C][C]104.782388910696[/C][C]108.25[/C][C]111.717611089304[/C][/ROW]
[ROW][C]Infl[/C][C]83.0760307879662[/C][C]94.05[/C][C]105.023969212034[/C][/ROW]
[ROW][C]Prod[/C][C]102.774916847831[/C][C]105.6[/C][C]108.425083152169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56601&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56601&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
WLMan122.746082706805127.05131.353917293195
WLVrouw104.782388910696108.25111.717611089304
Infl83.076030787966294.05105.023969212034
Prod102.774916847831105.6108.425083152169



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')