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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 11 Nov 2009 03:39:32 -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/11/t1257936022eky2ddtgquqlww5.htm/, Retrieved Sat, 20 Apr 2024 12:38:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55476, Retrieved Sat, 20 Apr 2024 12:38:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2009-11-11 10:39:32] [e76c6d261190c0179bc6006a5cdb804c] [Current]
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Dataseries X:
1	1	1	1
1	1.002738004	1.04011209	0.98537037
1	0.977400242	1.073498799	0.950833333
1	0.937227883	1.050360288	0.943425926
1	0.897212622	1.041953563	0.914444444
1	0.874343552	1.05692554	0.941111111
1	1.072955474	1.035868695	0.917222222
1	1.000869653	1.016333066	0.926203704
1	0.96556174	0.973979183	0.978148148
1	1.042826204	0.963730985	0.946388889
1	0.912187486	0.984147318	0.930740741
1	0.849544414	0.981265012	0.973333333
1	1.077365456	0.961969576	0.978981481
1	0.99569662	0.943634908	1.001944444
1.105	1.071081512	0.949239392	0.941388889
1.125	1.012180753	0.969015212	1.009351852
1.125	0.982735985	0.955804644	1.008888889
1.225	0.995993985	0.962369896	1.012407407
1.25	1.182301719	0.982465973	1.023981481
1.25	0.963351138	1.022417934	0.973425926
1.32	1.090685174	1.012810248	0.950925926
1.375	1.11065353	1.015532426	0.96287037
1.465	0.986068719	1.02570056	0.994444444
1.5	0.9069864	1.01897518	0.950277778
1.585	1.092093451	1.00968775	0.915092593
1.625	1.118323309	1.031305044	0.944814815
1.695	1.119956012	1.057886309	0.944537037
1.75	0.973080031	1.040752602	0.964444444
1.75	1.061773419	1.046757406	0.9775
1.825	1.042130482	1.060208167	0.941296296
1.875	1.197910588	1.082145717	0.932037037
1.875	1.043280668	1.081745396	0.936759259
1.95	1.112712644	1.074379504	0.923425926
2	1.169509403	1.098158527	0.959259259
2	1.101945779	1.090632506	0.938240741
2	0.995073836	1.112570056	0.987685185
2	1.111674671	1.139071257	1.007685185
2	1.243323309	1.175660528	0.999444444
2	1.159404596	1.166533227	1.038148148
2	1.00304098	1.178382706	1.040925926
2	1.172993626	1.180784628	1.063240741
2	1.187446699	1.243154524	1.028333333
2	1.199245927	1.261008807	1.020277778
2	1.287776606	1.245556445	0.996944444
2	1.197512231	1.245236189	0.979351852
2.09	1.340909601	1.262610088	1.005462963
2.125	1.256390547	1.198959167	0.979166667
2.125	1.025298487	1.150440352	0.988888889
1.985	1.278485345	1.066613291	1.011666667
1.71	1.252384533	1.0193755	1.090833333
1.375	1.001066026	1.076781425	1.040833333
1.155	0.918662193	1.059967974	1.143240741
1	0.8939921	1.023618895	1.175833333
0.83	0.922735536	1.044835869	1.130925926
0.655	0.994714754	1.056044836	1.117222222
0.545	0.933782935	1.092874299	1.118981481
0.5	0.908742538	1.122177742	1.101296296
0.5	1.024064141	1.127942354	1.091944444
0.5	0.98581624	1.142353883	1.441388889
0.5	0.888549755	1.165892714	1.493981481




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=55476&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=55476&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55476&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
Rente0.511.34751.99252.125
Uitvoer0.8495444140.97524013651.0246813141.11913966051.287776606
Wisselkoers0.9436349081.0159327461.0564851881.1250600481.262610088
Reserves0.9144444440.9456018520.98652777751.0261574071.143240741

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Rente & 0.5 & 1 & 1.3475 & 1.9925 & 2.125 \tabularnewline
Uitvoer & 0.849544414 & 0.9752401365 & 1.024681314 & 1.1191396605 & 1.287776606 \tabularnewline
Wisselkoers & 0.943634908 & 1.015932746 & 1.056485188 & 1.125060048 & 1.262610088 \tabularnewline
Reserves & 0.914444444 & 0.945601852 & 0.9865277775 & 1.026157407 & 1.143240741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55476&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]Rente[/C][C]0.5[/C][C]1[/C][C]1.3475[/C][C]1.9925[/C][C]2.125[/C][/ROW]
[ROW][C]Uitvoer[/C][C]0.849544414[/C][C]0.9752401365[/C][C]1.024681314[/C][C]1.1191396605[/C][C]1.287776606[/C][/ROW]
[ROW][C]Wisselkoers[/C][C]0.943634908[/C][C]1.015932746[/C][C]1.056485188[/C][C]1.125060048[/C][C]1.262610088[/C][/ROW]
[ROW][C]Reserves[/C][C]0.914444444[/C][C]0.945601852[/C][C]0.9865277775[/C][C]1.026157407[/C][C]1.143240741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55476&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55476&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
Rente0.511.34751.99252.125
Uitvoer0.8495444140.97524013651.0246813141.11913966051.287776606
Wisselkoers0.9436349081.0159327461.0564851881.1250600481.262610088
Reserves0.9144444440.9456018520.98652777751.0261574071.143240741







Boxplot Notches
Variablelower boundmedianupper bound
Rente1.145052705521491.34751.54994729447851
Uitvoer0.9953291031077631.0246813141.05403352489224
Wisselkoers1.034225714908171.0564851881.07874466109183
Reserves0.9700962871574670.98652777751.00295926784253

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Rente & 1.14505270552149 & 1.3475 & 1.54994729447851 \tabularnewline
Uitvoer & 0.995329103107763 & 1.024681314 & 1.05403352489224 \tabularnewline
Wisselkoers & 1.03422571490817 & 1.056485188 & 1.07874466109183 \tabularnewline
Reserves & 0.970096287157467 & 0.9865277775 & 1.00295926784253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55476&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]Rente[/C][C]1.14505270552149[/C][C]1.3475[/C][C]1.54994729447851[/C][/ROW]
[ROW][C]Uitvoer[/C][C]0.995329103107763[/C][C]1.024681314[/C][C]1.05403352489224[/C][/ROW]
[ROW][C]Wisselkoers[/C][C]1.03422571490817[/C][C]1.056485188[/C][C]1.07874466109183[/C][/ROW]
[ROW][C]Reserves[/C][C]0.970096287157467[/C][C]0.9865277775[/C][C]1.00295926784253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55476&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55476&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
Rente1.145052705521491.34751.54994729447851
Uitvoer0.9953291031077631.0246813141.05403352489224
Wisselkoers1.034225714908171.0564851881.07874466109183
Reserves0.9700962871574670.98652777751.00295926784253



Parameters (Session):
par1 = yellow ;
Parameters (R input):
par1 = yellow ;
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')