Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 30 Nov 2007 08:11:41 -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/30/t1196434857e1b2jfv3kf89uuj.htm/, Retrieved Sun, 28 Apr 2024 01:10:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7730, Retrieved Sun, 28 Apr 2024 01:10:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplots] [2007-11-30 15:11:41] [ca5e0f9f346e091f4d0fe7e17f7dba21] [Current]
- RMPD    [Mean Plot] [Mean Plot Invoer] [2008-12-21 20:19:05] [504b73e6de93b01331326637b3288ad4]
- RMPD    [Mean Plot] [Mean Plot Handels...] [2008-12-21 20:36:04] [504b73e6de93b01331326637b3288ad4]
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Dataseries X:
99	101,5	108,4
115,4	126,6	117
106,9	93,9	103,8
107,1	89,8	100,8
99,3	93,4	110,6
99,2	101,5	104
108,3	110,4	112,6
105,6	105,9	107,3
99,5	108,4	98,9
107,4	113,9	109,8
93,1	86,1	104,9
88,1	69,4	102,2
110,7	101,2	123,9
113,1	100,5	124,9
99,6	98	112,7
93,6	106,6	121,9
98,6	90,1	100,6
99,6	96,9	104,3
114,3	125,9	120,4
107,8	112	107,5
101,2	100	102,9
112,5	123,9	125,6
100,5	79,8	107,5
93,9	83,4	108,8
116,2	113,6	128,4
112	112,9	121,1
106,4	104	119,5
95,7	109,9	128,7
96	99	108,7
95,8	106,3	105,5
103	128,9	119,8
102,2	111,1	111,3
98,4	102,9	110,6
111,4	130	120,1
86,6	87	97,5
91,3	87,5	107,7
107,9	117,6	127,3
101,8	103,4	117,2
104,4	110,8	119,8
93,4	112,6	116,2
100,1	102,5	111
98,5	112,4	112,4
112,9	135,6	130,6
101,4	105,1	109,1
107,1	127,7	118,8
110,8	137	123,9
90,3	91	101,6
95,5	90,5	112,8
111,4	122,4	128
113	123,3	129,6
107,5	124,3	125,8
95,9	120	119,5
106,3	118,1	115,7
105,2	119	113,6
117,2	142,7	129,7
106,9	123,6	112
108,2	129,6	116,8
110	146,9	126,3
96,1	108,7	112,9
100,6	99,4	115,9




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=7730&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=7730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7730&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
Interm86.698.45102.6108.25117.2
Invest69.499.2108.55121.2146.9
Consump97.5107.6112.85120.75130.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Interm & 86.6 & 98.45 & 102.6 & 108.25 & 117.2 \tabularnewline
Invest & 69.4 & 99.2 & 108.55 & 121.2 & 146.9 \tabularnewline
Consump & 97.5 & 107.6 & 112.85 & 120.75 & 130.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7730&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]Interm[/C][C]86.6[/C][C]98.45[/C][C]102.6[/C][C]108.25[/C][C]117.2[/C][/ROW]
[ROW][C]Invest[/C][C]69.4[/C][C]99.2[/C][C]108.55[/C][C]121.2[/C][C]146.9[/C][/ROW]
[ROW][C]Consump[/C][C]97.5[/C][C]107.6[/C][C]112.85[/C][C]120.75[/C][C]130.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7730&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
Interm86.698.45102.6108.25117.2
Invest69.499.2108.55121.2146.9
Consump97.5107.6112.85120.75130.6







Boxplot Notches
Variablelower boundmedianupper bound
Interm100.601024195577102.6104.598975804423
Invest104.062503296194108.55113.037496703806
Consump110.167700833862112.85115.532299166138

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Interm & 100.601024195577 & 102.6 & 104.598975804423 \tabularnewline
Invest & 104.062503296194 & 108.55 & 113.037496703806 \tabularnewline
Consump & 110.167700833862 & 112.85 & 115.532299166138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7730&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]Interm[/C][C]100.601024195577[/C][C]102.6[/C][C]104.598975804423[/C][/ROW]
[ROW][C]Invest[/C][C]104.062503296194[/C][C]108.55[/C][C]113.037496703806[/C][/ROW]
[ROW][C]Consump[/C][C]110.167700833862[/C][C]112.85[/C][C]115.532299166138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7730&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7730&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
Interm100.601024195577102.6104.598975804423
Invest104.062503296194108.55113.037496703806
Consump110.167700833862112.85115.532299166138



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')