Free Statistics

of Irreproducible Research!

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, 05 Nov 2008 12:17:49 -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/Nov/05/t122591287473h4dis5kj3quul.htm/, Retrieved Sun, 19 May 2024 09:22:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21903, Retrieved Sun, 19 May 2024 09:22:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D    [Notched Boxplots] [Part 1 ;task2] [2008-11-05 19:17:49] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]
F R  D      [Notched Boxplots] [Part1 ;Task3] [2008-11-05 19:35:42] [3a9fc6d5b5e0e816787b7dbace57e7cd]
F RMPD      [Kendall tau Correlation Matrix] [Hypothesis Testin...] [2008-11-05 20:56:35] [3a9fc6d5b5e0e816787b7dbace57e7cd]
Feedback Forum
2008-11-10 17:50:03 [Gert-Jan Geudens] [reply
De conclusie is correct maar de boxplots vertonen een lichte fout ten op zichte van de correcte boxplots.
Hier kan je de correcte oplossing vinden :
www.freestatistics.org/blog/date/2008/Nov/10/t1226333026v6pmq6466nvv9i3.htm
Deze berekening is gebaseerd op de oorspronkelijke berekening van Leen Van Dooren.


Post a new message
Dataseries X:
110,40	109,20	99,90	72,50
96,40	88,60	99,80	59,40
101,90	94,30	99,80	85,70
106,20	98,30	100,30	88,20
81,00	86,40	99,90	62,80
94,70	80,60	99,90	87,00
101,00	104,10	100,00	79,20
109,40	108,20	100,10	112,00
102,30	93,40	100,10	79,20
90,70	71,90	100,20	132,10
96,20	94,10	100,30	40,10
96,10	94,90	100,60	69,00
106,00	96,40	100,00	59,40
103,10	91,10	100,10	73,80
102,00	84,40	100,20	57,40
104,70	86,40	100,00	81,10
86,00	88,00	100,10	46,60
92,10	75,10	100,10	41,40
106,90	109,70	100,10	71,20
112,60	103,00	100,50	67,90
101,70	82,10	100,50	72,00
92,00	68,00	100,50	145,50
97,40	96,40	96,30	39,70
97,00	94,30	96,30	51,90
105,40	90,00	96,80	73,70
102,70	88,00	96,80	70,90
98,10	76,10	96,90	60,80
104,50	82,50	96,80	61,00
87,40	81,40	96,80	54,50
89,90	66,50	96,80	39,10
109,80	97,20	96,80	66,60
111,70	94,10	97,00	58,50
98,60	80,70	97,00	59,80
96,90	70,50	97,00	80,90
95,10	87,80	96,80	37,30
97,00	89,50	96,90	44,60
112,70	99,60	97,20	48,70
102,90	84,20	97,30	54,00
97,40	75,10	97,30	49,50
111,40	92,00	97,20	61,60
87,40	80,80	97,30	35,00
96,80	73,10	97,30	35,70
114,10	99,80	97,30	51,30
110,30	90,00	97,30	49,00
103,90	83,10	97,30	41,50
101,60	72,40	97,30	72,50
94,60	78,80	98,10	42,10
95,90	87,30	96,80	44,10
104,70	91,00	96,80	45,10




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21903&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21903&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21903&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Totaal8696.1101.6105.4114.1
productie66.580.88894.3109.7
afzetprijsindex96.396.997.3100.1100.6
investeringen3546.659.872.588.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaal & 86 & 96.1 & 101.6 & 105.4 & 114.1 \tabularnewline
productie & 66.5 & 80.8 & 88 & 94.3 & 109.7 \tabularnewline
afzetprijsindex & 96.3 & 96.9 & 97.3 & 100.1 & 100.6 \tabularnewline
investeringen & 35 & 46.6 & 59.8 & 72.5 & 88.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21903&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]86[/C][C]96.1[/C][C]101.6[/C][C]105.4[/C][C]114.1[/C][/ROW]
[ROW][C]productie[/C][C]66.5[/C][C]80.8[/C][C]88[/C][C]94.3[/C][C]109.7[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.3[/C][C]96.9[/C][C]97.3[/C][C]100.1[/C][C]100.6[/C][/ROW]
[ROW][C]investeringen[/C][C]35[/C][C]46.6[/C][C]59.8[/C][C]72.5[/C][C]88.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21903&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21903&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
Totaal8696.1101.6105.4114.1
productie66.580.88894.3109.7
afzetprijsindex96.396.997.3100.1100.6
investeringen3546.659.872.588.2







Boxplot Notches
Variablelower boundmedianupper bound
Totaal99.5008571428571101.6103.699142857143
productie84.95285714285718891.0471428571429
afzetprijsindex96.577714285714397.398.0222857142857
investeringen53.95459.865.646

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaal & 99.5008571428571 & 101.6 & 103.699142857143 \tabularnewline
productie & 84.9528571428571 & 88 & 91.0471428571429 \tabularnewline
afzetprijsindex & 96.5777142857143 & 97.3 & 98.0222857142857 \tabularnewline
investeringen & 53.954 & 59.8 & 65.646 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21903&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]99.5008571428571[/C][C]101.6[/C][C]103.699142857143[/C][/ROW]
[ROW][C]productie[/C][C]84.9528571428571[/C][C]88[/C][C]91.0471428571429[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.5777142857143[/C][C]97.3[/C][C]98.0222857142857[/C][/ROW]
[ROW][C]investeringen[/C][C]53.954[/C][C]59.8[/C][C]65.646[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21903&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21903&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
Totaal99.5008571428571101.6103.699142857143
productie84.95285714285718891.0471428571429
afzetprijsindex96.577714285714397.398.0222857142857
investeringen53.95459.865.646



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')