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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 computationFri, 06 Nov 2009 00:46:11 -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/06/t12574946148esr89sfgiuzx9b.htm/, Retrieved Sat, 27 Apr 2024 18:49:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54222, Retrieved Sat, 27 Apr 2024 18:49:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D  [Notched Boxplots] [WS 6 notched box ...] [2009-11-05 10:31:46] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D      [Notched Boxplots] [Workshop 6: Notch...] [2009-11-06 07:46:11] [a5c6be3c0aa55fdb2a703a08e16947ef] [Current]
-    D        [Notched Boxplots] [Workshop 6: Notch...] [2009-11-06 08:16:52] [1433a524809eda02c3198b3ae6eebb69]
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Dataseries X:
0.7461	0.5857	1.2413
0.7775	0.5858	1.2758
0.7790	0.5717	1.2729
0.7744	0.5945	1.2695
0.7905	0.5961	1.2858
0.7719	0.5973	1.2741
0.7811	0.6036	1.2823
0.7557	0.6096	1.2588
0.7637	0.6315	1.2856
0.7595	0.6262	1.2619
0.7471	0.6121	1.2590
0.7615	0.6326	1.2865
0.7487	0.6214	1.2667
0.7389	0.6274	1.2505
0.7337	0.6175	1.2205
0.7510	0.6208	1.2220
0.7382	0.6225	1.1990
0.7159	0.5889	1.1583
0.7542	0.6020	1.1931
0.7636	0.5932	1.2028
0.7433	0.5841	1.1802
0.7658	0.6000	1.2084
0.7627	0.5947	1.1996
0.7480	0.5891	1.1870
0.7692	0.6051	1.2013
0.7850	0.5960	1.2120
0.7913	0.6012	1.2133
0.7720	0.5957	1.1866
0.7880	0.5959	1.2067
0.8070	0.6049	1.2240
0.8268	0.6064	1.2566
0.8244	0.6137	1.2608
0.8487	0.6311	1.3005
0.8572	0.6258	1.2955
0.8214	0.6010	1.2500
0.8827	0.6232	1.3158
0.9216	0.6384	1.3358
0.8865	0.6014	1.2817
0.8816	0.5980	1.2707
0.8884	0.5987	1.2595
0.9466	0.6237	1.3182
0.9180	0.5813	1.2665
0.9337	0.5991	1.2715
0.9559	0.6160	1.3041
0.9626	0.6096	1.3106
0.9434	0.6051	1.2911
0.8639	0.5857	1.2233
0.7996	0.5565	1.1438
0.6680	0.5223	0.9895
0.6572	0.5091	1.9903
0.6928	0.4919	0.9967
0.6438	0.4995	0.9708
0.6454	0.5069	0.9946
0.6873	0.5190	1.0441
0.7265	0.5460	1.0757
0.7912	0.5648	1.1461
0.8114	0.5751	1.1749
0.8281	0.5862	1.1926
0.8393	0.5877	1.2109




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=54222&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=54222&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54222&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
US_DOLLAR0.64380.748350.77750.83370.9559
EURO0.5460.585750.59870.61290.6384
SINGAPORE_DOLLAR1.14381.196051.251.274951.3358

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
US_DOLLAR & 0.6438 & 0.74835 & 0.7775 & 0.8337 & 0.9559 \tabularnewline
EURO & 0.546 & 0.58575 & 0.5987 & 0.6129 & 0.6384 \tabularnewline
SINGAPORE_DOLLAR & 1.1438 & 1.19605 & 1.25 & 1.27495 & 1.3358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54222&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]US_DOLLAR[/C][C]0.6438[/C][C]0.74835[/C][C]0.7775[/C][C]0.8337[/C][C]0.9559[/C][/ROW]
[ROW][C]EURO[/C][C]0.546[/C][C]0.58575[/C][C]0.5987[/C][C]0.6129[/C][C]0.6384[/C][/ROW]
[ROW][C]SINGAPORE_DOLLAR[/C][C]1.1438[/C][C]1.19605[/C][C]1.25[/C][C]1.27495[/C][C]1.3358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54222&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54222&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
US_DOLLAR0.64380.748350.77750.83370.9559
EURO0.5460.585750.59870.61290.6384
SINGAPORE_DOLLAR1.14381.196051.251.274951.3358







Boxplot Notches
Variablelower boundmedianupper bound
US_DOLLAR0.7599436347875030.77750.795056365212497
EURO0.5931152862856560.59870.604284713714344
SINGAPORE_DOLLAR1.233770389979311.251.26622961002069

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
US_DOLLAR & 0.759943634787503 & 0.7775 & 0.795056365212497 \tabularnewline
EURO & 0.593115286285656 & 0.5987 & 0.604284713714344 \tabularnewline
SINGAPORE_DOLLAR & 1.23377038997931 & 1.25 & 1.26622961002069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54222&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]US_DOLLAR[/C][C]0.759943634787503[/C][C]0.7775[/C][C]0.795056365212497[/C][/ROW]
[ROW][C]EURO[/C][C]0.593115286285656[/C][C]0.5987[/C][C]0.604284713714344[/C][/ROW]
[ROW][C]SINGAPORE_DOLLAR[/C][C]1.23377038997931[/C][C]1.25[/C][C]1.26622961002069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54222&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54222&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
US_DOLLAR0.7599436347875030.77750.795056365212497
EURO0.5931152862856560.59870.604284713714344
SINGAPORE_DOLLAR1.233770389979311.251.26622961002069



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')