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Author's title

Author

*Unverified author*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Thu, 06 Nov 2008 10:42:16 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/06/t12259934216uofaubajfgoclj.htm/, Retrieved Mon, 20 May 2024 12:25:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22350, Retrieved Mon, 20 May 2024 12:25:41 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Vermeiren Kevin

Estimated Impact

172

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] [Hypothesis Testin...] [2008-11-06 17:42:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
F R  D      [Notched Boxplots] [Hypothesis Testin...] [2008-11-06 21:01:40] [74be16979710d4c4e7c6647856088456] 
- R  D        [Notched Boxplots] [] [2008-11-06 21:14:17] [74be16979710d4c4e7c6647856088456] 
F R  D        [Notched Boxplots] [Hypothesis Testin...] [2008-11-06 21:14:17] [74be16979710d4c4e7c6647856088456] 

Feedback Forum

2008-11-10 12:20:12 [Käthe Vanderheggen] [reply] 
De student splitst taak 2 in 2 delen. Hij berekent hier de notched boxplots aan de hand van gegevens voor 2001 om daarna de berekening te maken met gegevens na 2001. Op deze manier wil hij de daling extra accentueren.
2008-11-11 13:30:37 [Philip Van Herck] [reply] 
De taak is inderdaad in twee delen opgesplitst al is dit volgens mij niet meteen nodig om op de vraag te antwoorden.

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22350&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]3 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=22350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22350&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Totaal	81	94.7	101.45	106.2	110.4
Kleding	71.9	86.4	93.85	104.1	109.2
Prijsindex	99.8	99.9	99.95	100.1	100.3
Investeringen	59.4	72.5	82.45	88.2	88.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Totaal & 81 & 94.7 & 101.45 & 106.2 & 110.4 \tabularnewline
Kleding & 71.9 & 86.4 & 93.85 & 104.1 & 109.2 \tabularnewline
Prijsindex & 99.8 & 99.9 & 99.95 & 100.1 & 100.3 \tabularnewline
Investeringen & 59.4 & 72.5 & 82.45 & 88.2 & 88.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22350&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]81[/C][C]94.7[/C][C]101.45[/C][C]106.2[/C][C]110.4[/C][/ROW]
[ROW][C]Kleding[/C][C]71.9[/C][C]86.4[/C][C]93.85[/C][C]104.1[/C][C]109.2[/C][/ROW]
[ROW][C]Prijsindex[/C][C]99.8[/C][C]99.9[/C][C]99.95[/C][C]100.1[/C][C]100.3[/C][/ROW]
[ROW][C]Investeringen[/C][C]59.4[/C][C]72.5[/C][C]82.45[/C][C]88.2[/C][C]88.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22350&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Totaal	81	94.7	101.45	106.2	110.4
Kleding	71.9	86.4	93.85	104.1	109.2
Prijsindex	99.8	99.9	99.95	100.1	100.3
Investeringen	59.4	72.5	82.45	88.2	88.2

Boxplot Notches
Variable	lower bound	median	upper bound
Totaal	95.704141491474	101.45	107.195858508526
Kleding	85.0063742955731	93.85	102.693625704427
Prijsindex	99.8500720259387	99.95	100.049927974061
Investeringen	74.6056540361863	82.45	90.2943459638137

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Totaal & 95.704141491474 & 101.45 & 107.195858508526 \tabularnewline
Kleding & 85.0063742955731 & 93.85 & 102.693625704427 \tabularnewline
Prijsindex & 99.8500720259387 & 99.95 & 100.049927974061 \tabularnewline
Investeringen & 74.6056540361863 & 82.45 & 90.2943459638137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22350&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]95.704141491474[/C][C]101.45[/C][C]107.195858508526[/C][/ROW]
[ROW][C]Kleding[/C][C]85.0063742955731[/C][C]93.85[/C][C]102.693625704427[/C][/ROW]
[ROW][C]Prijsindex[/C][C]99.8500720259387[/C][C]99.95[/C][C]100.049927974061[/C][/ROW]
[ROW][C]Investeringen[/C][C]74.6056540361863[/C][C]82.45[/C][C]90.2943459638137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22350&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22350&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
Variable	lower bound	median	upper bound
Totaal	95.704141491474	101.45	107.195858508526
Kleding	85.0063742955731	93.85	102.693625704427
Prijsindex	99.8500720259387	99.95	100.049927974061
Investeringen	74.6056540361863	82.45	90.2943459638137

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code