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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 computationWed, 19 Dec 2012 20:06:10 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/19/t13559656134x3s9rlkwwyjj0c.htm/, Retrieved Mon, 29 Apr 2024 11:49:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202509, Retrieved Mon, 29 Apr 2024 11:49:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Notched Boxplots 1] [2009-12-18 09:21:15] [1eab65e90adf64584b8e6f0da23ff414]
- R  D  [Notched Boxplots] [notched boxplot 1 ] [2012-12-14 18:45:13] [da21a4ad0d643c5ab6ae91160bdaaba7]
- R  D      [Notched Boxplots] [] [2012-12-20 01:06:10] [71d0353b830738bf84dffbfcdf1408fc] [Current]
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Dataseries X:
103.34	98.60	96.33
102.60	96.90	96.33
100.69	95.10	95.05
105.67	97.00	96.84
123.61	112.70	96.92
113.08	102.90	97.44
106.46	97.40	97.78
123.38	111.40	97.69
109.87	87.40	96.67
95.74	96.80	98.29
123.06	114.10	98.20
123.39	110.30	98.71
120.28	103.90	98.54
115.33	101.60	98.20
110.40	94.60	100.80
114.49	95.90	101.33
132.03	104.70	101.88
123.16	102.80	101.85
118.82	98.10	102.04
128.32	113.90	102.22
112.24	80.90	102.63
104.53	95.70	102.65
132.57	113.20	102.54
122.52	105.90	102.37
131.80	108.80	102.68
124.55	102.30	102.76
120.96	99.00	102.82
122.60	100.70	103.31
145.52	115.50	103.23
118.57	100.70	103.60
134.25	109.90	103.95
136.70	114.60	103.93
121.37	85.40	104.25
111.63	100.50	104.38
134.42	114.80	104.36
137.65	116.50	104.32
137.86	112.90	104.58
119.77	102.00	104.68
130.69	106.00	104.92
128.28	105.30	105.46
147.45	118.80	105.23
128.42	106.10	105.58
136.90	109.30	105.34
143.95	117.20	105.28
135.64	92.50	105.70
122.48	104.20	105.67




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202509&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202509&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'Herman Ole Andreas Wold' @ wold.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
uitvoer95.74113.08122.83132.03147.45
Tot.prod80.997.4103.4111.4118.8
index95.0598.29102.64104.36105.7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
uitvoer & 95.74 & 113.08 & 122.83 & 132.03 & 147.45 \tabularnewline
Tot.prod & 80.9 & 97.4 & 103.4 & 111.4 & 118.8 \tabularnewline
index & 95.05 & 98.29 & 102.64 & 104.36 & 105.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202509&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]uitvoer[/C][C]95.74[/C][C]113.08[/C][C]122.83[/C][C]132.03[/C][C]147.45[/C][/ROW]
[ROW][C]Tot.prod[/C][C]80.9[/C][C]97.4[/C][C]103.4[/C][C]111.4[/C][C]118.8[/C][/ROW]
[ROW][C]index[/C][C]95.05[/C][C]98.29[/C][C]102.64[/C][C]104.36[/C][C]105.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202509&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
uitvoer95.74113.08122.83132.03147.45
Tot.prod80.997.4103.4111.4118.8
index95.0598.29102.64104.36105.7







Boxplot Notches
Variablelower boundmedianupper bound
uitvoer118.415440390766122.83127.244559609234
Tot.prod100.138583929854103.4106.661416070146
index101.225943175301102.64104.054056824699

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
uitvoer & 118.415440390766 & 122.83 & 127.244559609234 \tabularnewline
Tot.prod & 100.138583929854 & 103.4 & 106.661416070146 \tabularnewline
index & 101.225943175301 & 102.64 & 104.054056824699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202509&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]uitvoer[/C][C]118.415440390766[/C][C]122.83[/C][C]127.244559609234[/C][/ROW]
[ROW][C]Tot.prod[/C][C]100.138583929854[/C][C]103.4[/C][C]106.661416070146[/C][/ROW]
[ROW][C]index[/C][C]101.225943175301[/C][C]102.64[/C][C]104.054056824699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202509&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202509&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
uitvoer118.415440390766122.83127.244559609234
Tot.prod100.138583929854103.4106.661416070146
index101.225943175301102.64104.054056824699



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')