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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 computationSat, 14 Nov 2009 07:40:58 -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/14/t1258209783kobzo9vmxet77m6.htm/, Retrieved Sun, 28 Apr 2024 08:34:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57228, Retrieved Sun, 28 Apr 2024 08:34:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2009-11-14 14:40:58] [4d89445a8ea4b299af2ee123046cffa6] [Current]
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Dataseries X:
97.4	106.7	96.7	116.7
97	104.7	94.7	109
105.4	107.4	90.1	119.5
102.7	109.8	87.9	115.1
98.1	103.4	76.3	107.1
104.5	114.8	82.6	109.7
87.4	114.3	81.8	110.4
89.9	109.6	66.2	105
109.8	118.3	97.8	115.8
111.7	127.3	94.7	116.4
98.6	112.3	81.2	111.1
96.9	114.9	70.6	119.5
95.1	108.2	87.6	110.9
97	105.4	89.3	115.1
112.7	122.1	99.6	125.2
102.9	113.5	83.9	116
97.4	110	74.7	112.9
111.4	125.3	91.2	121.7
87.4	114.3	80.8	123.2
96.8	115.6	72.3	116.6
114.1	127.1	99.7	136.2
110.3	123	90.1	120.9
103.9	122.2	83.1	119.6
101.6	126.4	71.9	125.9
94.6	112.7	78.6	116.1
95.9	105.8	87.2	107.5
104.7	120.9	90.6	116.7
102.8	116.3	80	112.5
98.1	115.7	73.1	113
113.9	127.9	85.6	126.4
80.9	108.3	73.8	114.1
95.7	121.1	70.6	112.5
113.2	128.6	91.8	112.4
105.9	123.1	81.3	113.1
108.8	127.7	85.2	116.3
102.3	126.6	69.6	111.7
99	118.4	83.3	118.8
100.7	110	89.8	116.5
115.5	129.6	99.5	125.1
100.7	115.8	78.9	113.1
109.9	125.9	83.8	119.6
114.6	128.4	92	114.4
85.4	114	80.9	114
100.5	125.6	74.6	117.8
114.8	128.5	97.9	117
116.5	136.6	88.3	120.9
112.9	133.1	88.1	115
102	124.6	66.4	117.3
106	123.5	92.3	119.4
105.3	117.2	95.6	114.9
118.8	135.5	99.7	125.8
106.1	124.8	78.9	117.6
109.3	127.8	79.4	117.6
117.2	133.1	87.8	114.9
92.5	125.7	80.5	121.9
104.2	128.4	71.8	117
112.5	131.9	89.2	106.4
122.4	146.3	96.4	110.5
113.3	140.6	83.5	113.6
100	129.5	64.3	114.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57228&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]3 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=57228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57228&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
TIip80.997.4103.4111.55122.4
ipv&g103.4113.75122.15127.75146.3
ipk&t64.378.7583.8590.999.7
ipchn105112.95116.05119.45126.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
TIip & 80.9 & 97.4 & 103.4 & 111.55 & 122.4 \tabularnewline
ipv&g & 103.4 & 113.75 & 122.15 & 127.75 & 146.3 \tabularnewline
ipk&t & 64.3 & 78.75 & 83.85 & 90.9 & 99.7 \tabularnewline
ipchn & 105 & 112.95 & 116.05 & 119.45 & 126.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57228&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]TIip[/C][C]80.9[/C][C]97.4[/C][C]103.4[/C][C]111.55[/C][C]122.4[/C][/ROW]
[ROW][C]ipv&g[/C][C]103.4[/C][C]113.75[/C][C]122.15[/C][C]127.75[/C][C]146.3[/C][/ROW]
[ROW][C]ipk&t[/C][C]64.3[/C][C]78.75[/C][C]83.85[/C][C]90.9[/C][C]99.7[/C][/ROW]
[ROW][C]ipchn[/C][C]105[/C][C]112.95[/C][C]116.05[/C][C]119.45[/C][C]126.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57228&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
TIip80.997.4103.4111.55122.4
ipv&g103.4113.75122.15127.75146.3
ipk&t64.378.7583.8590.999.7
ipchn105112.95116.05119.45126.4







Boxplot Notches
Variablelower boundmedianupper bound
TIip100.513723710961103.4106.286276289039
ipv&g119.294320279396122.15125.005679720604
ipk&t81.371677956761983.8586.3283220432381
ipchn114.724148701148116.05117.375851298852

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
TIip & 100.513723710961 & 103.4 & 106.286276289039 \tabularnewline
ipv&g & 119.294320279396 & 122.15 & 125.005679720604 \tabularnewline
ipk&t & 81.3716779567619 & 83.85 & 86.3283220432381 \tabularnewline
ipchn & 114.724148701148 & 116.05 & 117.375851298852 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57228&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]TIip[/C][C]100.513723710961[/C][C]103.4[/C][C]106.286276289039[/C][/ROW]
[ROW][C]ipv&g[/C][C]119.294320279396[/C][C]122.15[/C][C]125.005679720604[/C][/ROW]
[ROW][C]ipk&t[/C][C]81.3716779567619[/C][C]83.85[/C][C]86.3283220432381[/C][/ROW]
[ROW][C]ipchn[/C][C]114.724148701148[/C][C]116.05[/C][C]117.375851298852[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57228&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57228&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
TIip100.513723710961103.4106.286276289039
ipv&g119.294320279396122.15125.005679720604
ipk&t81.371677956761983.8586.3283220432381
ipchn114.724148701148116.05117.375851298852



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')