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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, 12 Nov 2009 09:05:07 -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/12/t12580419953ygfkozx8j6btcp.htm/, Retrieved Sat, 04 May 2024 00:06:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56177, Retrieved Sat, 04 May 2024 00:06:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2009-11-12 09:15:09] [3dc15971be5d84d9752feb46f389e582]
-    D    [Notched Boxplots] [] [2009-11-12 16:05:07] [aa8eb70c35ea8a87edcd21d6427e653e] [Current]
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Dataseries X:
139	13.9	2849.27	-2.3
135	17.8	2921.44	-4.8
130	17.9	2981.85	2.3
127	17.4	3080.58	-5.2
122	16.7	3106.22	-10
117	16	3119.31	-17.1
112	16.6	3061.26	-14.4
113	19.1	3097.31	-3.9
149	17.8	3161.69	3.7
157	17.2	3257.16	6.5
157	18.6	3277.01	0.9
147	16.3	3295.32	-4.1
137	15.1	3363.99	-7
132	19.2	3494.17	-12.2
125	17.7	3667.03	-2.5
123	19.1	3813.06	4.4
117	18	3917.96	13.7
114	17.5	3895.51	12.3
111	17.8	3801.06	13.4
112	21.1	3570.12	2.2
144	17.2	3701.61	1.7
150	19.4	3862.27	-7.2
149	19.8	3970.1	-4.8
134	17.6	4138.52	-2.9
123	16.2	4199.75	-2.4
116	19.5	4290.89	-2.5
117	19.9	4443.91	-5.3
111	20	4502.64	-7.1
105	17.3	4356.98	-8
102	18.9	4591.27	-8.9
95	18.6	4696.96	-7.7
93	21.4	4621.4	-1.1
124	18.6	4562.84	4
130	19.8	4202.52	9.6
124	20.8	4296.49	10.9
115	19.6	4435.23	13
106	17.7	4105.18	14.9
105	19.8	4116.68	20.1
105	22.2	3844.49	10.8
101	20.7	3720.98	11
95	17.9	3674.4	3.8
93	20.9	3857.62	10.8
84	21.2	3801.06	7.6
87	21.4	3504.37	10.2
116	23	3032.6	2.2
120	21.3	3047.03	-0.1
117	23.9	2962.34	-1.7
109	22.4	2197.82	-4.8
105	18.3	2014.45	-9.9
107	22.8	1862.83	-13.5
109	22.3	1905.41	-18.1
109	17.8	1810.99	-18
108	16.4	1670.07	-15.7
107	16	1864.44	-15.2
99	16.4	2052.02	-15.1
103	17.7	2029.6	-17.9
131	16.6	2070.83	-14.5
137	16.2	2293.41	-9.4
135	18.3	2443.27	-4.2
124	17.6	2513.17	-2.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56177&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56177&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WLH84106.5116.5130.5157
BH13.917.3518.319.9523
AGM1670.072941.893499.274037.644696.96
EA-18.1-8.45-2.54.220.1

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WLH & 84 & 106.5 & 116.5 & 130.5 & 157 \tabularnewline
BH & 13.9 & 17.35 & 18.3 & 19.95 & 23 \tabularnewline
AGM & 1670.07 & 2941.89 & 3499.27 & 4037.64 & 4696.96 \tabularnewline
EA & -18.1 & -8.45 & -2.5 & 4.2 & 20.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56177&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]WLH[/C][C]84[/C][C]106.5[/C][C]116.5[/C][C]130.5[/C][C]157[/C][/ROW]
[ROW][C]BH[/C][C]13.9[/C][C]17.35[/C][C]18.3[/C][C]19.95[/C][C]23[/C][/ROW]
[ROW][C]AGM[/C][C]1670.07[/C][C]2941.89[/C][C]3499.27[/C][C]4037.64[/C][C]4696.96[/C][/ROW]
[ROW][C]EA[/C][C]-18.1[/C][C]-8.45[/C][C]-2.5[/C][C]4.2[/C][C]20.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56177&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
WLH84106.5116.5130.5157
BH13.917.3518.319.9523
AGM1670.072941.893499.274037.644696.96
EA-18.1-8.45-2.54.220.1







Boxplot Notches
Variablelower boundmedianupper bound
WLH111.604549050394116.5121.395450949606
BH17.769659480459318.318.8303405195407
AGM3275.762067582043499.273722.77793241796
EA-5.08031060468825-2.50.0803106046882545

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WLH & 111.604549050394 & 116.5 & 121.395450949606 \tabularnewline
BH & 17.7696594804593 & 18.3 & 18.8303405195407 \tabularnewline
AGM & 3275.76206758204 & 3499.27 & 3722.77793241796 \tabularnewline
EA & -5.08031060468825 & -2.5 & 0.0803106046882545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56177&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]WLH[/C][C]111.604549050394[/C][C]116.5[/C][C]121.395450949606[/C][/ROW]
[ROW][C]BH[/C][C]17.7696594804593[/C][C]18.3[/C][C]18.8303405195407[/C][/ROW]
[ROW][C]AGM[/C][C]3275.76206758204[/C][C]3499.27[/C][C]3722.77793241796[/C][/ROW]
[ROW][C]EA[/C][C]-5.08031060468825[/C][C]-2.5[/C][C]0.0803106046882545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56177&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56177&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
WLH111.604549050394116.5121.395450949606
BH17.769659480459318.318.8303405195407
AGM3275.762067582043499.273722.77793241796
EA-5.08031060468825-2.50.0803106046882545



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')