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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 09 Nov 2009 06:49:07 -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/09/t1257774623xlpi4y90wj1wvg8.htm/, Retrieved Wed, 24 Apr 2024 07:02:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54821, Retrieved Wed, 24 Apr 2024 07:02:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsShwWs6.1
Estimated Impact214
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Ws6.1 notched box...] [2009-11-09 13:49:07] [51108381f3361ca8af49c4f74052c840] [Current]
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Dataseries X:
151.7	105.2	115.2	126.8
121.3	105.2	119.8	128.5
133.0	105.6	117.5	126.8
119.6	105.6	123.2	128.5
122.2	106.2	129.0	130.2
117.4	106.3	124.4	131.8
106.7	106.4	117.5	130.2
87.5	106.9	116.3	126.8
81.0	107.2	119.8	130.2
110.3	107.3	112.9	126.8
87.0	107.3	109.4	123.5
55.7	107.4	108.3	121.8
146.0	107.55	108.3	120.2
137.5	107.87	110.6	118.5
138.5	108.37	111.7	121.8
135.6	108.38	118.6	125.2
107.3	107.92	116.3	125.2
99.0	108.03	114.0	120.2
91.4	108.14	115.2	120.2
68.4	108.3	115.2	120.2
82.6	108.64	117.5	123.5
98.4	108.66	116.3	130.2
71.3	109.04	114.0	123.5
47.6	109.03	112.9	123.5
130.8	109.03	116.3	125.2
113.6	109.54	118.6	130.2
125.7	109.75	118.6	135.2
113.6	109.83	115.2	125.2
97.1	109.65	110.6	116.8
104.4	109.82	111.7	118.5
91.8	109.95	112.9	118.5
75.1	110.12	117.5	121.8
89.2	110.15	119.8	123.5
110.2	110.2	116.3	123.5
78.4	109.99	116.3	125.2
68.4	110.14	115.2	123.5
122.8	110.14	116.3	123.5
129.7	110.81	117.5	121.8
159.1	110.97	118.6	126.8
139.0	110.99	122.1	133.5
102.2	109.73	129.0	138.5
113.6	109.81	129.0	135.2
81.5	110.02	130.1	138.5
77.4	110.18	130.1	146.9
87.6	110.21	130.1	148.5
101.2	110.25	134.7	155.2
87.2	110.36	131.3	151.9
64.9	110.51	124.4	150.2
133.1	110.64	123.2	143.5
118.0	110.95	129.0	146.9
135.9	111.18	131.3	155.2
125.7	111.19	139.3	163.6
108.0	111.69	138.2	161.9
128.3	111.7	141.7	171.9
84.7	111.83	148.6	176.9
86.4	111.77	150.9	176.9
92.2	111.73	157.8	180.3
95.8	112.01	155.5	181.9
92.3	111.86	145.1	173.6
54.3	112.04	145.1	166.9




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=54821&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=54821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54821&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
IPERS47.686.7103.3124.25159.1
PPERS105.2107.975109.815110.575112.04
PB108.3115.2118.6129.55150.9
PD116.8123.5127.65146.9181.9

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
IPERS & 47.6 & 86.7 & 103.3 & 124.25 & 159.1 \tabularnewline
PPERS & 105.2 & 107.975 & 109.815 & 110.575 & 112.04 \tabularnewline
PB & 108.3 & 115.2 & 118.6 & 129.55 & 150.9 \tabularnewline
PD & 116.8 & 123.5 & 127.65 & 146.9 & 181.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54821&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]IPERS[/C][C]47.6[/C][C]86.7[/C][C]103.3[/C][C]124.25[/C][C]159.1[/C][/ROW]
[ROW][C]PPERS[/C][C]105.2[/C][C]107.975[/C][C]109.815[/C][C]110.575[/C][C]112.04[/C][/ROW]
[ROW][C]PB[/C][C]108.3[/C][C]115.2[/C][C]118.6[/C][C]129.55[/C][C]150.9[/C][/ROW]
[ROW][C]PD[/C][C]116.8[/C][C]123.5[/C][C]127.65[/C][C]146.9[/C][C]181.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54821&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
IPERS47.686.7103.3124.25159.1
PPERS105.2107.975109.815110.575112.04
PB108.3115.2118.6129.55150.9
PD116.8123.5127.65146.9181.9







Boxplot Notches
Variablelower boundmedianupper bound
IPERS95.6406590350954103.3110.959340964905
PPERS109.284659480459109.815110.345340519541
PB115.672928286381118.6121.527071713619
PD122.876935324134127.65132.423064675866

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IPERS & 95.6406590350954 & 103.3 & 110.959340964905 \tabularnewline
PPERS & 109.284659480459 & 109.815 & 110.345340519541 \tabularnewline
PB & 115.672928286381 & 118.6 & 121.527071713619 \tabularnewline
PD & 122.876935324134 & 127.65 & 132.423064675866 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54821&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]IPERS[/C][C]95.6406590350954[/C][C]103.3[/C][C]110.959340964905[/C][/ROW]
[ROW][C]PPERS[/C][C]109.284659480459[/C][C]109.815[/C][C]110.345340519541[/C][/ROW]
[ROW][C]PB[/C][C]115.672928286381[/C][C]118.6[/C][C]121.527071713619[/C][/ROW]
[ROW][C]PD[/C][C]122.876935324134[/C][C]127.65[/C][C]132.423064675866[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54821&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54821&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
IPERS95.6406590350954103.3110.959340964905
PPERS109.284659480459109.815110.345340519541
PB115.672928286381118.6121.527071713619
PD122.876935324134127.65132.423064675866



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')