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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 computationThu, 18 Dec 2008 05:41:42 -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/18/t1229604139um3ubbi37rkle7s.htm/, Retrieved Sat, 11 May 2024 21:52:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34716, Retrieved Sat, 11 May 2024 21:52:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Paper - Un. EDA -...] [2008-12-18 11:54:57] [85841a4a203c2f9589565c024425a91b]
- RMPD    [Notched Boxplots] [Paper - Notched B...] [2008-12-18 12:41:42] [07b7cf1321bc38017c2c7efcf91ca696] [Current]
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Dataseries X:
97,57	127,96	20,72
97,74	127,47	21,45
97,92	126,47	22,09
98,19	125,75	21,53
98,23	125,42	23,35
98,41	125,14	23,57
98,59	125,15	26,42
98,71	125,51	25,21
99,14	125,63	26,44
99,62	126,22	29,34
100,18	126,88	29,40
100,66	127,96	33,05
101,19	128,74	28,38
101,75	129,6	26,01
102,2	131,2	29,31
102,87	132,72	30,36
98,81	134,67	35,75
97,6	135,94	36,15
96,68	136,39	34,21
95,96	136,74	37,91
98,89	137,2	38,70
99,05	137,36	42,12
99,2	138,63	42,16
99,11	141,07	39,80
99,19	143,32	37,36
99,77	147,91	38,35
100,70	152,56	42,60
100,78	151,61	41,25
100,53	156,56	42,16
101,01	157,45	46,94
100,92	158,13	47,43
101,10	159,18	47,06
103,11	159,47	50,18
102,99	159,79	50,13
102,31	161,65	43,23
102,61	162,77	40,04
103,68	163,48	40,37
104,72	166,16	42,21
107,66	163,86	37,00
108,87	162,12	39,74
108,12	149,08	42,68
107,61	145,32	46,29
106,42	141,21	46,97
105,61	134,68	48,73
105,71	133,65	52,37
105,49	139,17	50,05
105,57	138,61	54,04
105,18	144,96	57,78
106,09	157,99	64,72
106,34	167,18	63,41
108,47	174,48	64,36
116,87	182,77	66,03
121,08	190,00	72,14
123,27	189,70	76,60
124,18	188,90	86,97
125,60	198,28	93,48
126,57	201,18	95,59
127,18	204,14	81,89
128,04	221,02	70,55
128,55	221,12	50,38
129,67	220,68	36,25




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=34716&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=34716&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34716&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
Elektriciteit95.9699.14102.2106.42116.87
Gas125.14132.72144.96162.77204.14
Olie20.7233.0542.1250.1872.14

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Elektriciteit & 95.96 & 99.14 & 102.2 & 106.42 & 116.87 \tabularnewline
Gas & 125.14 & 132.72 & 144.96 & 162.77 & 204.14 \tabularnewline
Olie & 20.72 & 33.05 & 42.12 & 50.18 & 72.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34716&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]Elektriciteit[/C][C]95.96[/C][C]99.14[/C][C]102.2[/C][C]106.42[/C][C]116.87[/C][/ROW]
[ROW][C]Gas[/C][C]125.14[/C][C]132.72[/C][C]144.96[/C][C]162.77[/C][C]204.14[/C][/ROW]
[ROW][C]Olie[/C][C]20.72[/C][C]33.05[/C][C]42.12[/C][C]50.18[/C][C]72.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34716&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34716&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
Elektriciteit95.9699.14102.2106.42116.87
Gas125.14132.72144.96162.77204.14
Olie20.7233.0542.1250.1872.14







Boxplot Notches
Variablelower boundmedianupper bound
Elektriciteit100.727268592260102.2103.672731407740
Gas138.880936977666144.96151.039063022334
Olie38.654630629864242.1245.5853693701358

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Elektriciteit & 100.727268592260 & 102.2 & 103.672731407740 \tabularnewline
Gas & 138.880936977666 & 144.96 & 151.039063022334 \tabularnewline
Olie & 38.6546306298642 & 42.12 & 45.5853693701358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34716&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]Elektriciteit[/C][C]100.727268592260[/C][C]102.2[/C][C]103.672731407740[/C][/ROW]
[ROW][C]Gas[/C][C]138.880936977666[/C][C]144.96[/C][C]151.039063022334[/C][/ROW]
[ROW][C]Olie[/C][C]38.6546306298642[/C][C]42.12[/C][C]45.5853693701358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34716&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34716&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
Elektriciteit100.727268592260102.2103.672731407740
Gas138.880936977666144.96151.039063022334
Olie38.654630629864242.1245.5853693701358



Parameters (Session):
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')