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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Fri, 06 Nov 2009 01:16:52 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/06/t1257495451vwfqzj91xdl8k3e.htm/, Retrieved Sat, 27 Apr 2024 20:24:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54225, Retrieved Sat, 27 Apr 2024 20:24:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

213

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] [1433a524809eda02c3198b3ae6eebb69]
-    D        [Notched Boxplots] [Workshop 6: Notch...] [2009-11-06 08:16:52] [a5c6be3c0aa55fdb2a703a08e16947ef] [Current]

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Dataseries X:

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Histogram

Boxplots

0,7461	0,5857	1,2413	8.9	2.86
0,7775	0,5858	1,2758	8.6	2.55
0,7790	0,5717	1,2729	8.3	2.27
0,7744	0,5945	1,2695	8.3	2.26
0,7905	0,5961	1,2858	8.3	2.57
0,7719	0,5973	1,2741	8.4	3.07
0,7811	0,6036	1,2823	8.5	2.76
0,7557	0,6096	1,2588	8.4	2.51
0,7637	0,6315	1,2856	8.6	2.87
0,7595	0,6262	1,2619	8.5	3.14
0,7471	0,6121	1,2590	8.5	3.11
0,7615	0,6326	1,2865	8.5	3.16
0,7487	0,6214	1,2667	8.5	2.47
0,7389	0,6274	1,2505	8.5	2.57
0,7337	0,6175	1,2205	8.5	2.89
0,7510	0,6208	1,2220	8.5	2.63
0,7382	0,6225	1,1990	8.5	2.38
0,7159	0,5889	1,1583	8.5	1.69
0,7542	0,6020	1,1931	8.5	1.96
0,7636	0,5932	1,2028	8.5	2.19
0,7433	0,5841	1,1802	8.6	1.87
0,7658	0,6000	1,2084	8.4	1.6
0,7627	0,5947	1,1996	8.1	1.63
0,7480	0,5891	1,1870	8,00	1.22
0,7692	0,6051	1,2013	8,00	1.21
0,7850	0,5960	1,2120	8,00	1.49
0,7913	0,6012	1,2133	8,00	1.64
0,7720	0,5957	1,1866	7.9	1.66
0,7880	0,5959	1,2067	7.8	1.77
0,8070	0,6049	1,2240	7.8	1.82
0,8268	0,6064	1,2566	7.9	1.78
0,8244	0,6137	1,2608	8.1	1.28
0,8487	0,6311	1,3005	8,00	1.29
0,8572	0,6258	1,2955	7.6	1.37
0,8214	0,6010	1,2500	7.3	1.12
0,8827	0,6232	1,3158	7,00	1.51
0,9216	0,6384	1,3358	6.8	2.24
0,8865	0,6014	1,2817	7,00	2.94
0,8816	0,5980	1,2707	7.1	3.09
0,8884	0,5987	1,2595	7.2	3.46
0,9466	0,6237	1,3182	7.1	3.64
0,9180	0,5813	1,2665	6.9	4.39
0,9337	0,5991	1,2715	6.7	4.15
0,9559	0,6160	1,3041	6.7	5.21
0,9626	0,6096	1,3106	6.6	5.8
0,9434	0,6051	1,2911	6.9	5.91
0,8639	0,5857	1,2233	7.3	5.39
0,7996	0,5565	1,1438	7.5	5.46
0,6680	0,5223	0,9895	7.3	4.72
0,6572	0,5091	1,9903	7.1	3.14
0,6928	0,4919	0,9967	6.9	2.63
0,6438	0,4995	0,9708	7.1	2.32
0,6454	0,5069	0,9946	7.5	1.93
0,6873	0,5190	1,0441	7.7	0.62
0,7265	0,5460	1,0757	7.8	0.6
0,7912	0,5648	1,1461	7.8	-0.37
0,8114	0,5751	1,1749	7.7	-1.1
0,8281	0,5862	1,1926	7.7	-1.68
0,8393	0,5877	1,2109	7.8	-0.78

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54225&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54225&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
US_DOLLAR	0.6438	0.74835	0.7775	0.8337	0.9559
EURO	0.546	0.58575	0.5987	0.6129	0.6384
SINGAPORE_DOLLAR	1.1438	1.19605	1.25	1.27495	1.3358
Werkloosheidsgraad_in_%	6.6	7.3	7.9	8.5	8.9
Inflatie	-0.37	1.615	2.32	3.08	5.21

\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
Werkloosheidsgraad_in_% & 6.6 & 7.3 & 7.9 & 8.5 & 8.9 \tabularnewline
Inflatie & -0.37 & 1.615 & 2.32 & 3.08 & 5.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54225&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]
[ROW][C]Werkloosheidsgraad_in_%[/C][C]6.6[/C][C]7.3[/C][C]7.9[/C][C]8.5[/C][C]8.9[/C][/ROW]
[ROW][C]Inflatie[/C][C]-0.37[/C][C]1.615[/C][C]2.32[/C][C]3.08[/C][C]5.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54225&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
US_DOLLAR	0.6438	0.74835	0.7775	0.8337	0.9559
EURO	0.546	0.58575	0.5987	0.6129	0.6384
SINGAPORE_DOLLAR	1.1438	1.19605	1.25	1.27495	1.3358
Werkloosheidsgraad_in_%	6.6	7.3	7.9	8.5	8.9
Inflatie	-0.37	1.615	2.32	3.08	5.21

Boxplot Notches
Variable	lower bound	median	upper bound
US_DOLLAR	0.759943634787503	0.7775	0.795056365212497
EURO	0.593115286285656	0.5987	0.604284713714344
SINGAPORE_DOLLAR	1.23377038997931	1.25	1.26622961002069
Werkloosheidsgraad_in_%	7.65316182478036	7.9	8.14683817521964
Inflatie	2.01865172775269	2.32	2.62134827224731

\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
Werkloosheidsgraad_in_% & 7.65316182478036 & 7.9 & 8.14683817521964 \tabularnewline
Inflatie & 2.01865172775269 & 2.32 & 2.62134827224731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54225&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]
[ROW][C]Werkloosheidsgraad_in_%[/C][C]7.65316182478036[/C][C]7.9[/C][C]8.14683817521964[/C][/ROW]
[ROW][C]Inflatie[/C][C]2.01865172775269[/C][C]2.32[/C][C]2.62134827224731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54225&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54225&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
Variable	lower bound	median	upper bound
US_DOLLAR	0.759943634787503	0.7775	0.795056365212497
EURO	0.593115286285656	0.5987	0.604284713714344
SINGAPORE_DOLLAR	1.23377038997931	1.25	1.26622961002069
Werkloosheidsgraad_in_%	7.65316182478036	7.9	8.14683817521964
Inflatie	2.01865172775269	2.32	2.62134827224731

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code