Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationThu, 01 Nov 2007 08:09:59 -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/2007/Nov/01/7x9a36wjillzbya1193929755.htm/, Retrieved Tue, 07 May 2024 08:39:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28, Retrieved Tue, 07 May 2024 08:39:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplots ...] [2007-11-01 15:09:59] [919a0fafa615dc0e3c6b6d22cd1007a0] [Current]
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Dataseries X:
106.8	112.6	105.1	88.8
113.7	113.8	113.3	93.4
102.5	107.8	99.1	92.6
96.6	103.2	100.3	90.7
92.1	103.3	93.5	81.6
95.6	101.2	98.8	84.1
102.3	107.7	106.2	88.1
98.6	110.4	98.3	85.3
98.2	101.9	102.1	82.9
104.5	115.9	117.1	84.8
84	89.9	101.5	71.2
73.8	88.6	80.5	68.9
103.9	117.2	105.9	94.3
106	123.9	109.5	97.6
97.2	100	97.2	85.6
102.6	103.6	114.5	91.9
89	94.1	93.5	75.8
93.8	98.7	100.9	79.8
116.7	119.5	121.1	99
106.8	112.7	116.5	88.5
98.5	104.4	109.3	86.7
118.7	124.7	118.1	97.9
90	89.1	108.3	94.3
91.9	97	105.4	72.9
113.3	121.6	116.2	91.8
113.1	118.8	111.2	93.2
104.1	114	105.8	86.5
108.7	111.5	122.7	98.9
96.7	97.2	99.5	77.2
101	102.5	107.9	79.4
116.9	113.4	124.6	90.4
105.8	109.8	115	81.4
99	104.9	110.3	85.8
129.4	126.1	132.7	103.6
83	80	99.7	73.6
88.9	96.8	96.5	75.7
115.9	117.2	118.7	99.2
104.2	112.3	112.9	88.7
113.4	117.3	130.5	94.6
112.2	111.1	137.9	98.7
100.8	102.2	115	84.2
107.3	104.3	116.8	87.7
126.6	122.9	140.9	103.3
102.9	107.6	120.7	88.2
117.9	121.3	134.2	93.4
128.8	131.5	147.3	106.3
87.5	89	112.4	73.1
93.8	104.4	107.1	78.6
122.7	128.9	128.4	101.6
126.2	135.9	137.7	101.4
124.6	133.3	135	98.5
116.7	121.3	151	99
115.2	120.5	137.4	89.5
111.1	120.4	132.4	83.5
129.9	137.9	161.3	97.4
113.3	126.1	139.8	87.8
118.5	133.2	146	90.4
133.5	146.6	154.6	97.1
102.1	103.4	142.1	79.4
102.4	117.2	120.5	85




Summary of compuational 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 compuational 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=28&T=0

[TABLE]
[ROW][C]Summary of compuational 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=28&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28&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 compuational 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
Totaal73.897.7104.35115.55133.5
Metaal80102.85111.9120.9146.6
Machines80.5105.25114.75131.45161.3
Apparaten 68.983.288.695.85106.3

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaal & 73.8 & 97.7 & 104.35 & 115.55 & 133.5 \tabularnewline
Metaal & 80 & 102.85 & 111.9 & 120.9 & 146.6 \tabularnewline
Machines & 80.5 & 105.25 & 114.75 & 131.45 & 161.3 \tabularnewline
Apparaten
 & 68.9 & 83.2 & 88.6 & 95.85 & 106.3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28&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]Totaal[/C][C]73.8[/C][C]97.7[/C][C]104.35[/C][C]115.55[/C][C]133.5[/C][/ROW]
[ROW][C]Metaal[/C][C]80[/C][C]102.85[/C][C]111.9[/C][C]120.9[/C][C]146.6[/C][/ROW]
[ROW][C]Machines[/C][C]80.5[/C][C]105.25[/C][C]114.75[/C][C]131.45[/C][C]161.3[/C][/ROW]
[ROW][C]Apparaten
[/C][C]68.9[/C][C]83.2[/C][C]88.6[/C][C]95.85[/C][C]106.3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28&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
Totaal73.897.7104.35115.55133.5
Metaal80102.85111.9120.9146.6
Machines80.5105.25114.75131.45161.3
Apparaten 68.983.288.695.85106.3







Boxplot Notches
Variablelower boundmedianupper bound
Totaal100.709008356230104.35107.990991643770
Metaal108.218212931650111.9115.581787068350
Machines109.405799380013114.75120.094200619987
Apparaten 86.019689395311788.691.1803106046882

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaal & 100.709008356230 & 104.35 & 107.990991643770 \tabularnewline
Metaal & 108.218212931650 & 111.9 & 115.581787068350 \tabularnewline
Machines & 109.405799380013 & 114.75 & 120.094200619987 \tabularnewline
Apparaten
 & 86.0196893953117 & 88.6 & 91.1803106046882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28&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]Totaal[/C][C]100.709008356230[/C][C]104.35[/C][C]107.990991643770[/C][/ROW]
[ROW][C]Metaal[/C][C]108.218212931650[/C][C]111.9[/C][C]115.581787068350[/C][/ROW]
[ROW][C]Machines[/C][C]109.405799380013[/C][C]114.75[/C][C]120.094200619987[/C][/ROW]
[ROW][C]Apparaten
[/C][C]86.0196893953117[/C][C]88.6[/C][C]91.1803106046882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28&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
Totaal100.709008356230104.35107.990991643770
Metaal108.218212931650111.9115.581787068350
Machines109.405799380013114.75120.094200619987
Apparaten 86.019689395311788.691.1803106046882



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')