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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 13 Dec 2010 13:37:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/13/t1292247428oxmlr0lrlj10981.htm/, Retrieved Mon, 06 May 2024 15:46:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108911, Retrieved Mon, 06 May 2024 15:46:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Boxplot science e...] [2010-12-13 13:37:56] [b6992a7b26e556359948e164e4227eba] [Current]
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Dataseries X:
6.3	2.0	4.5	1.000	6.600	42.0	3	1	3
9.1	0.7	27.0	10.550	179.500	180.0	4	4	4
15.8	3.9	19.0	0.023	0.300	35.0	1	1	1
5.2	1.0	30.4	160.000	169.000	392.0	4	5	4
10.9	3.6	28.0	3.300	25.600	63.0	1	2	1
8.3	1.4	50.0	52.160	440.000	230.0	1	1	1
11.0	1.5	7.0	0.425	6.400	112.0	5	4	4
3.2	0.7	30.0	465.000	423.000	281.0	5	5	5
6.3	2.1	3.5	0.075	1.200	42.0	1	1	1
6.6	4.1	6.0	0.785	3.500	42.0	2	2	2
9.5	1.2	10.4	0.200	5.000	120.0	2	2	2
3.3	0.5	20.0	27.660	115.000	148.0	5	5	5
11.0	3.4	3.9	0.120	1.000	16.0	3	1	2
4.7	1.5	41.0	85.000	325.000	310.0	1	3	1
10.4	3.4	9.0	0.101	4.000	28.0	5	1	3
7.4	0.8	7.6	1.040	5.500	68.0	5	3	4
2.1	0.8	46.0	521.000	655.000	336.0	5	5	5
7.7	1.4	2.6	0.005	0.140	21.5	5	2	4
17.9	2.0	24.0	0.010	0.250	50.0	1	1	1
11.9	1.3	3.2	0.023	0.400	19.0	4	1	3
10.8	2.0	2.0	0.048	0.330	30.0	4	1	3
13.8	5.6	5.0	1.700	6.300	12.0	2	1	1
14.3	3.1	6.5	3.500	10.800	120.0	2	1	1
15.2	1.8	12.0	0.480	15.500	140.0	2	2	2
10.0	0.9	20.2	10.000	115.000	170.0	4	4	4
11.9	1.8	13.0	1.620	11.400	17.0	2	1	2
6.5	1.9	27.0	192.000	180.000	115.0	4	4	4
7.5	0.9	18.0	2.500	12.100	31.0	5	5	5
10.6	2.6	4.7	0.280	1.900	21.0	3	1	3
7.4	2.4	9.8	4.235	50.400	52.0	1	1	1
8.4	1.2	29.0	6.800	179.000	164.0	2	3	2
5.7	0.9	7.0	0.750	12.300	225.0	2	2	2
4.9	0.5	6.0	3.600	21.000	225.0	3	2	3
3.2	0.6	20.0	55.500	175.000	151.0	5	5	5
11.0	2.3	4.5	0.900	2.600	60.0	2	1	2
4.9	0.5	7.5	2.000	12.300	200.0	3	1	3
13.2	2.6	2.3	0.104	2.500	46.0	3	2	2
9.7	0.6	24.0	4.190	58.000	210.0	4	3	4
12.8	6.6	3.0	3.500	3.900	14.0	2	1	1




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=108911&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=108911&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108911&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
SWS2.16.39.11117.9
PS0.50.91.52.54.1
maxLifeSpan24.859.82450
bodyWeight0.0050.241.78.410.55
brainWeight0.143.0511.4115180
gestationTime123368175336
predation12345
sleepExposure1123.55
danger11.5345

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
SWS & 2.1 & 6.3 & 9.1 & 11 & 17.9 \tabularnewline
PS & 0.5 & 0.9 & 1.5 & 2.5 & 4.1 \tabularnewline
maxLifeSpan & 2 & 4.85 & 9.8 & 24 & 50 \tabularnewline
bodyWeight & 0.005 & 0.24 & 1.7 & 8.4 & 10.55 \tabularnewline
brainWeight & 0.14 & 3.05 & 11.4 & 115 & 180 \tabularnewline
gestationTime & 12 & 33 & 68 & 175 & 336 \tabularnewline
predation & 1 & 2 & 3 & 4 & 5 \tabularnewline
sleepExposure & 1 & 1 & 2 & 3.5 & 5 \tabularnewline
danger & 1 & 1.5 & 3 & 4 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108911&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]SWS[/C][C]2.1[/C][C]6.3[/C][C]9.1[/C][C]11[/C][C]17.9[/C][/ROW]
[ROW][C]PS[/C][C]0.5[/C][C]0.9[/C][C]1.5[/C][C]2.5[/C][C]4.1[/C][/ROW]
[ROW][C]maxLifeSpan[/C][C]2[/C][C]4.85[/C][C]9.8[/C][C]24[/C][C]50[/C][/ROW]
[ROW][C]bodyWeight[/C][C]0.005[/C][C]0.24[/C][C]1.7[/C][C]8.4[/C][C]10.55[/C][/ROW]
[ROW][C]brainWeight[/C][C]0.14[/C][C]3.05[/C][C]11.4[/C][C]115[/C][C]180[/C][/ROW]
[ROW][C]gestationTime[/C][C]12[/C][C]33[/C][C]68[/C][C]175[/C][C]336[/C][/ROW]
[ROW][C]predation[/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[ROW][C]sleepExposure[/C][C]1[/C][C]1[/C][C]2[/C][C]3.5[/C][C]5[/C][/ROW]
[ROW][C]danger[/C][C]1[/C][C]1.5[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108911&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108911&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
SWS2.16.39.11117.9
PS0.50.91.52.54.1
maxLifeSpan24.859.82450
bodyWeight0.0050.241.78.410.55
brainWeight0.143.0511.4115180
gestationTime123368175336
predation12345
sleepExposure1123.55
danger11.5345







Boxplot Notches
Variablelower boundmedianupper bound
SWS7.910888329843429.110.2891116701566
PS1.095196027180741.51.90480397281926
maxLifeSpan4.955002450319489.814.6449975496805
bodyWeight-0.3645002613782281.73.76450026137823
brainWeight-16.923627973197611.439.7236279731976
gestationTime32.073647412290668103.926352587709
predation2.4939950339759233.50600496602408
sleepExposure1.3674937924699122.63250620753009
danger2.3674937924699133.63250620753009

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
SWS & 7.91088832984342 & 9.1 & 10.2891116701566 \tabularnewline
PS & 1.09519602718074 & 1.5 & 1.90480397281926 \tabularnewline
maxLifeSpan & 4.95500245031948 & 9.8 & 14.6449975496805 \tabularnewline
bodyWeight & -0.364500261378228 & 1.7 & 3.76450026137823 \tabularnewline
brainWeight & -16.9236279731976 & 11.4 & 39.7236279731976 \tabularnewline
gestationTime & 32.0736474122906 & 68 & 103.926352587709 \tabularnewline
predation & 2.49399503397592 & 3 & 3.50600496602408 \tabularnewline
sleepExposure & 1.36749379246991 & 2 & 2.63250620753009 \tabularnewline
danger & 2.36749379246991 & 3 & 3.63250620753009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108911&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]SWS[/C][C]7.91088832984342[/C][C]9.1[/C][C]10.2891116701566[/C][/ROW]
[ROW][C]PS[/C][C]1.09519602718074[/C][C]1.5[/C][C]1.90480397281926[/C][/ROW]
[ROW][C]maxLifeSpan[/C][C]4.95500245031948[/C][C]9.8[/C][C]14.6449975496805[/C][/ROW]
[ROW][C]bodyWeight[/C][C]-0.364500261378228[/C][C]1.7[/C][C]3.76450026137823[/C][/ROW]
[ROW][C]brainWeight[/C][C]-16.9236279731976[/C][C]11.4[/C][C]39.7236279731976[/C][/ROW]
[ROW][C]gestationTime[/C][C]32.0736474122906[/C][C]68[/C][C]103.926352587709[/C][/ROW]
[ROW][C]predation[/C][C]2.49399503397592[/C][C]3[/C][C]3.50600496602408[/C][/ROW]
[ROW][C]sleepExposure[/C][C]1.36749379246991[/C][C]2[/C][C]2.63250620753009[/C][/ROW]
[ROW][C]danger[/C][C]2.36749379246991[/C][C]3[/C][C]3.63250620753009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108911&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108911&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
SWS7.910888329843429.110.2891116701566
PS1.095196027180741.51.90480397281926
maxLifeSpan4.955002450319489.814.6449975496805
bodyWeight-0.3645002613782281.73.76450026137823
brainWeight-16.923627973197611.439.7236279731976
gestationTime32.073647412290668103.926352587709
predation2.4939950339759233.50600496602408
sleepExposure1.3674937924699122.63250620753009
danger2.3674937924699133.63250620753009



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')