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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 30 Dec 2009 13:40:34 -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/Dec/30/t1262205685ovcof0tifzrwl9x.htm/, Retrieved Mon, 29 Apr 2024 03:28:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71371, Retrieved Mon, 29 Apr 2024 03:28:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Univariate Explorative Data Analysis] [SHW_WS4_Q3] [2009-10-23 09:32:44] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RM D      [Notched Boxplots] [] [2009-12-30 20:40:34] [84778c3520b84fd5786bccf2e25a5aef] [Current]
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Dataseries X:
100.00	100.00
99.76	100.22
98.74	113.63
99.12	115.38
100.22	114.95
99.98	114.07
100.44	111.87
100.19	112.53
101.59	114.07
102.08	113.63
101.43	112.09
100.27	111.87
101.24	110.11
100.92	111.43
103.04	125.05
102.76	127.47
102.36	127.03
101.35	124.18
101.68	120.22
100.29	121.98
102.68	123.52
102.89	123.30
103.30	121.98
101.75	119.56
103.42	118.02
102.92	119.34
103.44	130.55
103.01	134.29
103.45	134.73
101.87	134.29
100.70	130.55
101.24	130.77
102.73	129.89
102.46	129.45
103.90	128.35
102.32	125.93
102.25	124.62
103.21	125.05
104.00	136.48
103.94	138.24
103.08	138.02
103.27	134.51
103.14	130.77
102.63	131.21
104.49	130.33
104.39	129.67
105.49	127.47
104.68	126.15
103.46	125.93
103.38	125.93
103.25	136.26
104.44	137.58
104.47	136.26
103.68	129.23
104.22	124.40
103.18	122.42
104.30	123.30
105.00	120.66
107.23	116.92
105.92	115.60
106.73	112.31
107.72	109.67
106.78	121.98
107.59	124.18
110.69	119.12
108.11	115.82
109.74	112.09
108.76	112.97
109.66	113.63
110.48	111.65
110.25	108.35
109.93	107.69
110.64	103.08
110.44	105.05
109.90	116.04
110.33	117.36
112.38	113.85
116.42	111.21
117.83	110.33
118.28	113.41
122.75	116.04
124.20	117.14
122.34	117.80
123.17	118.02
121.92	115.16
122.68	117.80
122.30	129.01
123.72	131.21
123.78	127.69
123.07	123.96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71371&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71371&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71371&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'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
staatsschuld98.74102.32103.57109.74118.28
werkloosheid100113.63121.32128.35138.24

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
staatsschuld & 98.74 & 102.32 & 103.57 & 109.74 & 118.28 \tabularnewline
werkloosheid & 100 & 113.63 & 121.32 & 128.35 & 138.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71371&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]staatsschuld[/C][C]98.74[/C][C]102.32[/C][C]103.57[/C][C]109.74[/C][C]118.28[/C][/ROW]
[ROW][C]werkloosheid[/C][C]100[/C][C]113.63[/C][C]121.32[/C][C]128.35[/C][C]138.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71371&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71371&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
staatsschuld98.74102.32103.57109.74118.28
werkloosheid100113.63121.32128.35138.24







Boxplot Notches
Variablelower boundmedianupper bound
staatsschuld102.334224054108103.57104.805775945892
werkloosheid118.868433703029121.32123.771566296971

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
staatsschuld & 102.334224054108 & 103.57 & 104.805775945892 \tabularnewline
werkloosheid & 118.868433703029 & 121.32 & 123.771566296971 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71371&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]staatsschuld[/C][C]102.334224054108[/C][C]103.57[/C][C]104.805775945892[/C][/ROW]
[ROW][C]werkloosheid[/C][C]118.868433703029[/C][C]121.32[/C][C]123.771566296971[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71371&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71371&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
staatsschuld102.334224054108103.57104.805775945892
werkloosheid118.868433703029121.32123.771566296971



Parameters (Session):
par1 = 0 ; par2 = 36 ;
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')