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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationThu, 12 Nov 2009 07:01:51 -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/2009/Nov/12/t12580346602zv7rbha36l9rh7.htm/, Retrieved Thu, 02 May 2024 08:33:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55994, Retrieved Thu, 02 May 2024 08:33:06 +0000
QR Codes:

Original text written by user:We kunnen uit de boxplots duidelijk afleiden dat Elelap een daling heeft gekend en voor 75% gelegen is onder de grens van 100( indexjaar). Voor Maapwe kunnen we besluiten dat meer dan 75% van de metingen zich bevinden boven de grens van 100, dus hier zien we een duidelijke stijging van de Machines, apparaten en werktuigen. Promet en Transp bevinden zich beide boven de grens van 100, dus kunnen we afleiden dat daar een stijging is sinds 2000, maar deze is minder uitgesproken dan de stijging voor Elelap.
IsPrivate?No (this computation is public)
User-defined keywordszie hier de boxplots voor mij 4 tijdreeksen
Estimated Impact185

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplots] [2009-11-12 14:01:51] [bef26de542bed2eafc60fe4615b06e47] [Current]
-    D    [Notched Boxplots] [] [2010-12-21 20:58:28] [f47feae0308dca73181bb669fbad1c56]
- R  D    [Notched Boxplots] [1.1 ] [2012-12-11 10:42:04] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [1.2.1] [2012-12-11 10:50:02] [0604709baf8ca89a71bc0fcadc3cdffd]
- RMPD    [Histogram] [1.2.1] [2012-12-11 10:56:00] [0604709baf8ca89a71bc0fcadc3cdffd]
-    D      [Histogram] [1.2.2] [2012-12-11 10:57:07] [0604709baf8ca89a71bc0fcadc3cdffd]
-    D        [Histogram] [1.2.3] [2012-12-11 10:58:00] [0604709baf8ca89a71bc0fcadc3cdffd]
-    D        [Histogram] [1.2.4] [2012-12-11 10:58:47] [0604709baf8ca89a71bc0fcadc3cdffd]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
121.6	116.2	91.8	124.1
118.8	111.2	93.2	127.6
114.0	105.8	86.5	110.7
111.5	122.7	98.9	104.6
97.2	99.5	77.2	112.7
102.5	107.9	79.4	115.3
113.4	124.6	90.4	139.4
109.8	115.0	81.4	119.0
104.9	110.3	85.8	97.4
126.1	132.7	103.6	154.0
80.0	99.7	73.6	81.5
96.8	96.5	75.7	88.8
117.2	118.7	99.2	127.7
112.3	112.9	88.7	105.1
117.3	130.5	94.6	114.9
111.1	137.9	98.7	106.4
102.2	115.0	84.2	104.5
104.3	116.8	87.7	121.6
122.9	140.9	103.3	141.4
107.6	120.7	88.2	99.0
121.3	134.2	93.4	126.7
131.5	147.3	106.3	134.1
89.0	112.4	73.1	81.3
104.4	107.1	78.6	88.6
128.9	128.4	101.6	132.7
135.9	137.7	101.4	132.9
133.3	135.0	98.5	134.4
121.3	151.0	99.0	103.7
120.5	137.4	89.5	119.7
120.4	132.4	83.5	115.0
137.9	161.3	97.4	132.9
126.1	139.8	87.8	108.5
133.2	146.0	90.4	113.9
151.1	166.5	101.6	142.0
105.0	143.3	80.0	97.7
119.0	121.0	81.7	92.2
140.4	152.6	96.4	128.8
156.6	154.4	110.2	134.9
137.1	154.6	101.1	128.2
122.7	158.0	89.3	114.8
125.8	142.6	90.0	117.9
139.3	153.4	95.4	119.1
134.9	163.4	100.3	120.7
149.2	167.3	99.5	129.1
132.3	154.8	93.9	117.6
149.0	165.7	100.6	129.2
117.2	144.7	84.7	100.0
119.6	120.9	81.6	87.0
152.0	152.8	109.0	128.0
149.4	160.2	99.0	127.7
127.3	128.3	81.1	93.4
114.1	150.5	81.8	84.1
102.1	117.0	66.5	71.7
107.7	116.0	66.4	83.2
104.4	133.3	86.3	89.1
102.1	116.4	73.6	79.6
96.0	104.0	71.5	62.8
109.3	126.6	87.2	95.1
90.0	92.9	65.3	63.6
83.9	83.6	69.7	61.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55994&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]1 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=55994&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55994&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Promet80104.95118.9131.9156.6
Maapwe83.6115.5131.45148.9167.3
Elelap65.381.589.498.95110.2
Transp61.494.25114.85127.85154

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Promet & 80 & 104.95 & 118.9 & 131.9 & 156.6 \tabularnewline
Maapwe & 83.6 & 115.5 & 131.45 & 148.9 & 167.3 \tabularnewline
Elelap & 65.3 & 81.5 & 89.4 & 98.95 & 110.2 \tabularnewline
Transp & 61.4 & 94.25 & 114.85 & 127.85 & 154 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55994&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]Promet[/C][C]80[/C][C]104.95[/C][C]118.9[/C][C]131.9[/C][C]156.6[/C][/ROW]
[ROW][C]Maapwe[/C][C]83.6[/C][C]115.5[/C][C]131.45[/C][C]148.9[/C][C]167.3[/C][/ROW]
[ROW][C]Elelap[/C][C]65.3[/C][C]81.5[/C][C]89.4[/C][C]98.95[/C][C]110.2[/C][/ROW]
[ROW][C]Transp[/C][C]61.4[/C][C]94.25[/C][C]114.85[/C][C]127.85[/C][C]154[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55994&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55994&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Promet80104.95118.9131.9156.6
Maapwe83.6115.5131.45148.9167.3
Elelap65.381.589.498.95110.2
Transp61.494.25114.85127.85154






Boxplot Notches
Variablelower boundmedianupper bound
Promet113.402816537838118.9124.397183462162
Maapwe124.637164095131131.45138.262835904869
Elelap85.840599205390589.492.9594007946095
Transp107.996368670551114.85121.703631329449

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Promet & 113.402816537838 & 118.9 & 124.397183462162 \tabularnewline
Maapwe & 124.637164095131 & 131.45 & 138.262835904869 \tabularnewline
Elelap & 85.8405992053905 & 89.4 & 92.9594007946095 \tabularnewline
Transp & 107.996368670551 & 114.85 & 121.703631329449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55994&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]Promet[/C][C]113.402816537838[/C][C]118.9[/C][C]124.397183462162[/C][/ROW]
[ROW][C]Maapwe[/C][C]124.637164095131[/C][C]131.45[/C][C]138.262835904869[/C][/ROW]
[ROW][C]Elelap[/C][C]85.8405992053905[/C][C]89.4[/C][C]92.9594007946095[/C][/ROW]
[ROW][C]Transp[/C][C]107.996368670551[/C][C]114.85[/C][C]121.703631329449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55994&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55994&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
Promet113.402816537838118.9124.397183462162
Maapwe124.637164095131131.45138.262835904869
Elelap85.840599205390589.492.9594007946095
Transp107.996368670551114.85121.703631329449


Figures (Output of Computation)

Input Parameters & R Code

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')