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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 computationMon, 15 Dec 2008 03:00:16 -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/2008/Dec/15/t1229335284866nmwf7twvp4qz.htm/, Retrieved Thu, 16 May 2024 03:06:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33640, Retrieved Thu, 16 May 2024 03:06:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Case Paper] [2007-12-14 12:51:20] [80dc8bee9e9ee44ea58af3349c835ac7]
- RMPD    [Notched Boxplots] [Notched Boxplots] [2008-12-15 10:00:16] [5c47fb92bd9179cc1ad56f5160f63d38] [Current]
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Dataseries X:
111,8	142	129,5
100,9	109	103,7
102,1	120,7	114,2
118	159,6	123,5
110,6	142,4	111,3
115,1	145,1	126,5
114,8	148,9	119,6
110,1	136,9	116,5
110,8	119,9	116,7
95,6	133,9	119,4
108,1	131	124
116	133,2	130,6
111,2	135	120,1
98,2	99,1	113,2
97,6	110,8	111,1
113,3	152,3	126
107	131,9	115,8
107,9	127,9	111
117,5	142	128,7
105,4	118,7	112,6
104,2	116,3	114,7
98	125,7	118,5
106,7	122,7	124,8
113,4	125,3	128,6
111,7	123,2	127
94,2	88,8	111,8
92,5	94,9	100,6
109,8	136,8	122,9
105,1	128,7	117,8
104,4	110,8	108,1
111,1	132,8	129,6
98,7	112	111,4
100,5	104,5	110
93,7	112	115,2
103,2	110,6	118,8
104,1	107,2	116,2
106,9	116,2	126,3
89,2	85,7	106,7
88,7	94,2	96,5
110,7	127,2	119,1
98,8	108,9	109,6
102,5	111,9	110,3
101,8	126,3	118,8
96	105,9	104,5
98,3	101,3	107,7
94	105,5	127,7
105,1	106,3	118,5
114	117,3	120,1
115,5	110,9	127,4
94,3	85,4	107,8
100,8	81,9	106,5
111,2	121,5	124,6
103,4	106,3	101,9
106,7	111,8	106,5
112,2	122,8	119,4
100,7	101,8	103,3
99	92,2	99,6
91,5	106,3	120,9
102,7	103	111,7
111,4	97,7	123,9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33640&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33640&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'George Udny Yule' @ 72.249.76.132







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Interm88.798.75104.75111.15118
Invest81.9106.1116.25129.85159.6
Consumptie96.5110.15116.6123.7130.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Interm & 88.7 & 98.75 & 104.75 & 111.15 & 118 \tabularnewline
Invest & 81.9 & 106.1 & 116.25 & 129.85 & 159.6 \tabularnewline
Consumptie & 96.5 & 110.15 & 116.6 & 123.7 & 130.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33640&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]Interm[/C][C]88.7[/C][C]98.75[/C][C]104.75[/C][C]111.15[/C][C]118[/C][/ROW]
[ROW][C]Invest[/C][C]81.9[/C][C]106.1[/C][C]116.25[/C][C]129.85[/C][C]159.6[/C][/ROW]
[ROW][C]Consumptie[/C][C]96.5[/C][C]110.15[/C][C]116.6[/C][C]123.7[/C][C]130.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33640&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
Interm88.798.75104.75111.15118
Invest81.9106.1116.25129.85159.6
Consumptie96.5110.15116.6123.7130.6







Boxplot Notches
Variablelower boundmedianupper bound
Interm102.220683676037104.75107.279316323963
Invest111.405543331119116.25121.094456668881
Consumptie113.836109984702116.6119.363890015298

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Interm & 102.220683676037 & 104.75 & 107.279316323963 \tabularnewline
Invest & 111.405543331119 & 116.25 & 121.094456668881 \tabularnewline
Consumptie & 113.836109984702 & 116.6 & 119.363890015298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33640&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]Interm[/C][C]102.220683676037[/C][C]104.75[/C][C]107.279316323963[/C][/ROW]
[ROW][C]Invest[/C][C]111.405543331119[/C][C]116.25[/C][C]121.094456668881[/C][/ROW]
[ROW][C]Consumptie[/C][C]113.836109984702[/C][C]116.6[/C][C]119.363890015298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33640&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33640&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
Interm102.220683676037104.75107.279316323963
Invest111.405543331119116.25121.094456668881
Consumptie113.836109984702116.6119.363890015298



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')