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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationSun, 21 Dec 2008 06:50:40 -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/2008/Dec/21/t1229868671u7zhy52wjd9w23c.htm/, Retrieved Sat, 18 May 2024 11:06:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35585, Retrieved Sat, 18 May 2024 11:06:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Box Plots] [2008-12-21 13:50:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
107,1 118,4 111,4 104
110,7 121,4 114,1 107,9
117,1 128,8 121,8 113,8
118,7 131,7 127,6 113,8
126,5 141,7 129,9 123,1
127,5 142,9 128	   125,1
134,6 139,4 123,5 137,6
131,8 134,7 124	   134
135,9 125	  127,1 140,3
142,7 113,6 127,6 152,1
141,7 111,5 128,4 150,6
153,4 108,5 131,4 167,3
145	 112,3 135,1 153,2
137,7 116,6 134	   142
148,3 115,5 144,5 154,4
152,2 120,1 147,3 158,5
169,4 132,9 150,9 180,9
168,6 128,1 148,7 181,3
161,1 129,3 141,4 172,4
174,1 132,5 138,9 192
179	 131	  139,8 199,3
190,6 124,9 145,6 215,4
190	 120,8 147,9 214,3
181,6 122	  148,5 201,5
174,8 122,1 151,1 190,5
180,5 127,4 157,5 196
196,8 135,2 167,5 215,7
193,8 137,3 172,3 209,4
197	 135	  173,5 214,1
216,3 136	  187,5 237,8
221,4 138,4 205,5 239
217,9 134,7 195,1 237,8
229,7 138,4 204,5 251,5
227,4 133,9 204,5 248,8
204,2 133,6 201,7 215,4
196,6 141,2 207	   201,2
198,8 151,8 206,6 203,1
207,5 155,4 210,6 214,2
190,7 156,6 211,1 188,9
201,6 161,6 215	   203
210,5 160,7 223,9 213,3
223,5 156	  238,2 228,5
223,8 159,5 238,9 228,2
231,2 168,7 229,6 240,9
244	 169,9 232,2 258,8
234,7 169,9 222,1 248,5
250,2 185,9 221,6 269,2
265,7 190,8 227,3 289,6
287,6 195,8 221	   323,4
283,3 211,9 213,6 317,2
295,4 227,1 243,4 322,8
312,3 251,3 253,8 340,9
333,8 256,7 265,3 368,2
347,7 251,9 268,2 388,5
383,2 251,2 268,5 441,2
407,1 270,3 266,9 474,3
413,6 267,2 268,4 483,9
362,7 243	  250,8 417,9
321,9 229,9 231,2 365,9
239,4 187,2 192	   263
191	 178,2 171,4 199,4




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=35585&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=35585&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35585&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
Grond107.1153.4196.8234.7347.7
Leven108.5128.1138.4169.9229.9
Indus111.4139.8187.5222.1268.5
Energie104167.3213.3251.5368.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Grond & 107.1 & 153.4 & 196.8 & 234.7 & 347.7 \tabularnewline
Leven & 108.5 & 128.1 & 138.4 & 169.9 & 229.9 \tabularnewline
Indus & 111.4 & 139.8 & 187.5 & 222.1 & 268.5 \tabularnewline
Energie & 104 & 167.3 & 213.3 & 251.5 & 368.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35585&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]Grond[/C][C]107.1[/C][C]153.4[/C][C]196.8[/C][C]234.7[/C][C]347.7[/C][/ROW]
[ROW][C]Leven[/C][C]108.5[/C][C]128.1[/C][C]138.4[/C][C]169.9[/C][C]229.9[/C][/ROW]
[ROW][C]Indus[/C][C]111.4[/C][C]139.8[/C][C]187.5[/C][C]222.1[/C][C]268.5[/C][/ROW]
[ROW][C]Energie[/C][C]104[/C][C]167.3[/C][C]213.3[/C][C]251.5[/C][C]368.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35585&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35585&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
Grond107.1153.4196.8234.7347.7
Leven108.5128.1138.4169.9229.9
Indus111.4139.8187.5222.1268.5
Energie104167.3213.3251.5368.2







Boxplot Notches
Variablelower boundmedianupper bound
Grond180.353150625100196.8213.2468493749
Leven129.943932301712138.4146.856067698288
Indus170.850852354806187.5204.149147645194
Energie196.266485641247213.3230.333514358753

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Grond & 180.353150625100 & 196.8 & 213.2468493749 \tabularnewline
Leven & 129.943932301712 & 138.4 & 146.856067698288 \tabularnewline
Indus & 170.850852354806 & 187.5 & 204.149147645194 \tabularnewline
Energie & 196.266485641247 & 213.3 & 230.333514358753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35585&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]Grond[/C][C]180.353150625100[/C][C]196.8[/C][C]213.2468493749[/C][/ROW]
[ROW][C]Leven[/C][C]129.943932301712[/C][C]138.4[/C][C]146.856067698288[/C][/ROW]
[ROW][C]Indus[/C][C]170.850852354806[/C][C]187.5[/C][C]204.149147645194[/C][/ROW]
[ROW][C]Energie[/C][C]196.266485641247[/C][C]213.3[/C][C]230.333514358753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35585&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35585&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
Grond180.353150625100196.8213.2468493749
Leven129.943932301712138.4146.856067698288
Indus170.850852354806187.5204.149147645194
Energie196.266485641247213.3230.333514358753



Parameters (Session):
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')