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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 computationSat, 06 Dec 2008 06:39:36 -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/06/t1228571113xj7kp7iou8zzfac.htm/, Retrieved Fri, 17 May 2024 01:42:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29600, Retrieved Fri, 17 May 2024 01:42:07 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [intermediaire goe...] [2008-12-06 13:39:36] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataseries X:
103,1	119,5	98,6
100,6	125	98
103,1	145	106,8
95,5	105,3	96,6
90,5	116,9	100,1
90,9	120,1	107,7
88,8	88,9	91,5
90,7	78,4	97,8
94,3	114,6	107,4
104,6	113,3	117,5
111,1	117	105,6
110,8	99,6	97,4
107,2	99,4	99,5
99	101,9	98
99	115,2	104,3
91	108,5	100,6
96,2	113,8	101,1
96,9	121	103,9
96,2	92,2	96,9
100,1	90,2	95,5
99	101,5	108,4
115,4	126,6	117
106,9	93,9	103,8
107,1	89,8	100,8
99,3	93,4	110,6
99,2	101,5	104
108,3	110,4	112,6
105,6	105,9	107,3
99,5	108,4	98,9
107,4	113,9	109,8
93,1	86,1	104,9
88,1	69,4	102,2
110,7	101,2	123,9
113,1	100,5	124,9
99,6	98	112,7
93,6	106,6	121,9
98,6	90,1	100,6
99,6	96,9	104,3
114,3	125,9	120,4
107,8	112	107,5
101,2	100	102,9
112,5	123,9	125,6
100,5	79,8	107,5
93,9	83,4	108,8
116,2	113,6	128,4
112	112,9	121,1
106,4	104	119,5
95,7	109,9	128,7
96	99	108,7
95,8	106,3	105,5
103	128,9	119,8
102,2	111,1	111,3
98,4	102,9	110,6
111,4	130	120,1
86,6	87	97,5
91,3	87,5	107,7
107,9	117,6	127,3
101,8	103,4	117,2
104,4	110,8	119,8
93,4	112,6	116,2
100,1	102,5	111
98,5	112,4	112,4
112,9	135,6	130,6
101,4	105,1	109,1
107,1	127,7	118,8
110,8	137	123,9
90,3	91	101,6
95,5	90,5	112,8
111,4	122,4	128
113	123,3	129,6
107,5	124,3	125,8
95,9	120	119,5
106,3	118,1	115,7
105,2	119	113,6
117,2	142,7	129,7
106,9	123,6	112
108,2	129,6	116,8
113	151,6	127
97,2	110,4	112,1
99,9	99,2	114,2
108,1	130,5	121,1
118,1	136,2	131,6
109,1	129,7	125
93,3	128	120,4
112,1	121,6	117,7




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=29600&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=29600&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29600&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
Int.86.696.2101.4108.1118.1
Inv.69.499.6110.8121.6151.6
Cons.91.5103.9111119.8131.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Int. & 86.6 & 96.2 & 101.4 & 108.1 & 118.1 \tabularnewline
Inv. & 69.4 & 99.6 & 110.8 & 121.6 & 151.6 \tabularnewline
Cons. & 91.5 & 103.9 & 111 & 119.8 & 131.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29600&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]Int.[/C][C]86.6[/C][C]96.2[/C][C]101.4[/C][C]108.1[/C][C]118.1[/C][/ROW]
[ROW][C]Inv.[/C][C]69.4[/C][C]99.6[/C][C]110.8[/C][C]121.6[/C][C]151.6[/C][/ROW]
[ROW][C]Cons.[/C][C]91.5[/C][C]103.9[/C][C]111[/C][C]119.8[/C][C]131.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29600&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29600&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
Int.86.696.2101.4108.1118.1
Inv.69.499.6110.8121.6151.6
Cons.91.5103.9111119.8131.6







Boxplot Notches
Variablelower boundmedianupper bound
Int.99.3606367660468101.4103.439363233953
Inv.107.029748643112110.8114.570251356888
Cons.108.275136519340111113.724863480660

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Int. & 99.3606367660468 & 101.4 & 103.439363233953 \tabularnewline
Inv. & 107.029748643112 & 110.8 & 114.570251356888 \tabularnewline
Cons. & 108.275136519340 & 111 & 113.724863480660 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29600&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]Int.[/C][C]99.3606367660468[/C][C]101.4[/C][C]103.439363233953[/C][/ROW]
[ROW][C]Inv.[/C][C]107.029748643112[/C][C]110.8[/C][C]114.570251356888[/C][/ROW]
[ROW][C]Cons.[/C][C]108.275136519340[/C][C]111[/C][C]113.724863480660[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29600&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29600&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
Int.99.3606367660468101.4103.439363233953
Inv.107.029748643112110.8114.570251356888
Cons.108.275136519340111113.724863480660



Parameters (Session):
par1 = 500 ;
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')