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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

Wed, 11 Nov 2009 05:59:11 -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/11/t1257944406vnv9k5lh8md3hqz.htm/, Retrieved Tue, 16 Apr 2024 22:39:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55557, Retrieved Tue, 16 Apr 2024 22:39:39 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

141

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Notched Boxplots] [] [2009-11-11 12:59:11] [c4328af89eba9af53ee195d6fed304d9] [Current]

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Dataseries X:

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Histogram

Boxplots

100.00	100	100
104.02	95.70	101.73
112.82	96.10	102.97
133.11	102.64	100.18
102.26	93.99	99.58
103.44	95.42	100.79
98.49	94.85	102.60
111.32	94.05	99.08
112.82	97.93	99.31
114.67	100.44	100.24
121.37	103.09	101.64
129.34	108.79	105.56
107.12	102.76	108.99
112.32	101.12	106.24
121.71	104.13	108.25
119.11	102.62	106.18
114.84	102.80	104.04
123.72	99.78	107.16
117.69	103.93	107.14
121.54	103.70	111.00
114.92	105.61	109.75
123.55	111.98	110.51
126.32	110.39	108.55
139.40	120.06	112.37
151.55	127.33	112.26
163.79	136.52	115.12
164.29	135.56	115.18
194.22	141.02	117.17
233.36	158.80	117.87
202.01	150.15	114.22
189.10	149.66	114.22
190.36	153.09	114.98
213.75	149.20	117.26
194.13	144.29	120.14
207.21	147.53	123.91
232.19	155.86	125.96
218.11	153.69	127.53
227.66	158.61	129.32
239.56	161.06	126.52
223.55	158.14	127.78
225.48	161.83	133.32
226.82	160.12	137.66
209.05	157.30	135.32
214.08	159.94	130.87
202.85	161.44	132.56
230.93	178.38	137.36
240.74	189.85	139.02
232.36	188.41	133.07
250.29	203.42	132.02
288.18	219.76	123.98
337.97	237.48	119.65
280.64	213.27	119.29
278.96	204.92	124.65
282.65	213.39	125.87
294.38	225.23	114.82
294.89	219.22	114.16
227.66	197.54	115.82
205.87	211.41	104.70
168.48	175.26	87.12
166.14	186.91	79.92

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	'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=55557&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=55557&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55557&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	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Zilver	98.49	120.24	189.73	227.66	337.97
Goud	93.99	102.945	148.365	168.545	237.48
S&P500	79.92	105.13	114.22	125.26	139.02

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Zilver & 98.49 & 120.24 & 189.73 & 227.66 & 337.97 \tabularnewline
Goud & 93.99 & 102.945 & 148.365 & 168.545 & 237.48 \tabularnewline
S&P500 & 79.92 & 105.13 & 114.22 & 125.26 & 139.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55557&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]Zilver[/C][C]98.49[/C][C]120.24[/C][C]189.73[/C][C]227.66[/C][C]337.97[/C][/ROW]
[ROW][C]Goud[/C][C]93.99[/C][C]102.945[/C][C]148.365[/C][C]168.545[/C][C]237.48[/C][/ROW]
[ROW][C]S&P500[/C][C]79.92[/C][C]105.13[/C][C]114.22[/C][C]125.26[/C][C]139.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55557&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55557&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
Zilver	98.49	120.24	189.73	227.66	337.97
Goud	93.99	102.945	148.365	168.545	237.48
S&P500	79.92	105.13	114.22	125.26	139.02

Boxplot Notches
Variable	lower bound	median	upper bound
Zilver	167.818777458054	189.73	211.641222541946
Goud	134.984100737743	148.365	161.745899262257
S&P500	110.113940516018	114.22	118.326059483982

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Zilver & 167.818777458054 & 189.73 & 211.641222541946 \tabularnewline
Goud & 134.984100737743 & 148.365 & 161.745899262257 \tabularnewline
S&P500 & 110.113940516018 & 114.22 & 118.326059483982 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55557&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]Zilver[/C][C]167.818777458054[/C][C]189.73[/C][C]211.641222541946[/C][/ROW]
[ROW][C]Goud[/C][C]134.984100737743[/C][C]148.365[/C][C]161.745899262257[/C][/ROW]
[ROW][C]S&P500[/C][C]110.113940516018[/C][C]114.22[/C][C]118.326059483982[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55557&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55557&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
Zilver	167.818777458054	189.73	211.641222541946
Goud	134.984100737743	148.365	161.745899262257
S&P500	110.113940516018	114.22	118.326059483982

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