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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 computationWed, 17 Dec 2008 09:35:11 -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/2008/Dec/17/t12295317891ieaojdhbg92so7.htm/, Retrieved Sat, 18 May 2024 09:20:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34442, Retrieved Sat, 18 May 2024 09:20:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Consumptiegoederen] [2008-12-05 13:15:11] [fad8a251ac01c156a8ae23a83577546f]
- RMPD    [Notched Boxplots] [notched box] [2008-12-17 16:35:11] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
93,0	72,5	95,9	99,3
99,2	72,0	95,3	98,7
112,2	98,8	100,4	107,9
112,1	75,2	97,3	101,0
103,3	81,2	82,3	97,6
108,2	88,0	97,0	103,0
90,4	54,6	93,5	94,1
72,8	68,6	90,9	94,1
111,0	101,5	107,8	115,1
117,9	93,4	110,9	116,5
111,3	84,5	98,1	103,4
110,5	91,4	106,5	112,5
94,8	64,5	93,4	95,6
100,4	64,5	95,7	97,5
132,1	117,3	109,0	119,3
114,6	73,5	97,6	100,9
101,9	79,7	92,7	97,7
130,2	102,6	107,5	115,3
84,0	57,9	91,7	92,8
86,4	73,1	95,7	99,2
122,3	102,4	111,4	118,7
120,9	82,3	106,0	110,1
110,2	89,1	104,8	110,3
112,6	84,7	108,7	112,9
102,0	81,4	97,3	102,2
105,0	67,5	97,1	99,4
130,5	113,9	106,1	116,1
115,5	83,8	98,6	103,8
103,7	73,9	98,5	101,8
130,9	103,9	105,5	113,7
89,1	67,9	86,2	89,7
93,8	62,5	98,3	99,5
123,8	125,4	111,3	122,9
111,9	79,1	105,0	108,6
118,3	106,3	105,7	114,4
116,9	96,2	103,5	110,5
103,6	94,3	96,9	104,1
116,6	85,6	98,1	103,6
141,3	117,4	111,7	121,6
107,0	88,5	94,7	101,1
125,2	124,2	104,2	116,0
136,4	119,3	109,7	120,1
91,6	76,8	91,3	96,0
95,3	70,6	102,6	105,0
132,3	122,1	114,2	124,7
130,6	109,5	115,8	123,9
131,9	119,9	113,5	123,6
118,6	102,3	107,1	114,8
114,3	79,6	104,5	108,8
111,3	78,2	101,9	106,1
126,5	103,6	116,0	123,2
112,1	77,8	102,0	106,2
119,3	99,1	108,1	115,2
142,4	105,7	112,9	120,6
101,1	84,1	104,5	109,5
97,4	88,7	109,1	114,4
129,1	108,0	113,4	121,4
136,9	98,1	123,9	129,5
129,8	101,0	117,7	124,3
123,9	82,0	108,3	112,6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34442&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34442&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34442&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
INV72.8101.95112.15124.55142.4
DC54.67686.8102.5125.4
NDC82.397.05104.35108.85123.9
CON89.7100.95109.15116.05129.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
INV & 72.8 & 101.95 & 112.15 & 124.55 & 142.4 \tabularnewline
DC & 54.6 & 76 & 86.8 & 102.5 & 125.4 \tabularnewline
NDC & 82.3 & 97.05 & 104.35 & 108.85 & 123.9 \tabularnewline
CON & 89.7 & 100.95 & 109.15 & 116.05 & 129.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34442&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]INV[/C][C]72.8[/C][C]101.95[/C][C]112.15[/C][C]124.55[/C][C]142.4[/C][/ROW]
[ROW][C]DC[/C][C]54.6[/C][C]76[/C][C]86.8[/C][C]102.5[/C][C]125.4[/C][/ROW]
[ROW][C]NDC[/C][C]82.3[/C][C]97.05[/C][C]104.35[/C][C]108.85[/C][C]123.9[/C][/ROW]
[ROW][C]CON[/C][C]89.7[/C][C]100.95[/C][C]109.15[/C][C]116.05[/C][C]129.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34442&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34442&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
INV72.8101.95112.15124.55142.4
DC54.67686.8102.5125.4
NDC82.397.05104.35108.85123.9
CON89.7100.95109.15116.05129.5







Boxplot Notches
Variablelower boundmedianupper bound
INV107.540117022454112.15116.759882977546
DC81.394606243143286.892.2053937568568
NDC101.943069949777104.35106.756930050223
CON106.069945444206109.15112.230054555794

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
INV & 107.540117022454 & 112.15 & 116.759882977546 \tabularnewline
DC & 81.3946062431432 & 86.8 & 92.2053937568568 \tabularnewline
NDC & 101.943069949777 & 104.35 & 106.756930050223 \tabularnewline
CON & 106.069945444206 & 109.15 & 112.230054555794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34442&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]INV[/C][C]107.540117022454[/C][C]112.15[/C][C]116.759882977546[/C][/ROW]
[ROW][C]DC[/C][C]81.3946062431432[/C][C]86.8[/C][C]92.2053937568568[/C][/ROW]
[ROW][C]NDC[/C][C]101.943069949777[/C][C]104.35[/C][C]106.756930050223[/C][/ROW]
[ROW][C]CON[/C][C]106.069945444206[/C][C]109.15[/C][C]112.230054555794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34442&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34442&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
INV107.540117022454112.15116.759882977546
DC81.394606243143286.892.2053937568568
NDC101.943069949777104.35106.756930050223
CON106.069945444206109.15112.230054555794



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')