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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Tue, 04 Nov 2008 12:10:11 -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/04/t1225825921mfyyed86kenma4g.htm/, Retrieved Sun, 19 May 2024 04:12:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21632, Retrieved Sun, 19 May 2024 04:12:11 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

161

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Mean Plot] [workshop 3] [2007-10-26 12:14:28] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F RMPD    [Notched Boxplots] [task 3.1] [2008-11-04 19:10:11] [0458bd763b171003ec052ce63099d477] [Current]
F R         [Notched Boxplots] [task 3.2] [2008-11-04 19:20:22] [1eab65e90adf64584b8e6f0da23ff414] 

Feedback Forum

2008-11-10 07:58:42 [Jasmine Hendrikx] [reply] 
Evaluatie task 3 
 
Deze berekening is niet echt nodig om task 3 te beantwoorden. Je moet volgens mij ook gebruik maken van alle tijdreeksen om task 3 te beantwoorden, omdat er in de opdracht staat, dat je de vorige berekening moet verbeteren (dus van task 2), door van de variabele z, log (z) te maken. De eerste notched boxplot in de grafiek noemt de student index, maar dit is niet echt een juiste benaming. Dit zou de totale productie moeten noemen. Bij de volgende URL in het document bij task 3 heb ik geschreven hoe het volgens mij wel gedaan moet worden. Ik zal dit even hier kort onder zetten: 
Hieronder staat de URL van hetgeen ik denk dat je moet berekenen en dus moet uitkomen: 
http://www.freestatistics.org/blog/index.php 
v=date/2008/Nov/09/t1226226976cqiu8s2wz71ktid.htm 
De student merkt wel correct op dat door log te gebruiken de grote getallen kleiner worden gemaakt, dus dat grote schommelingen naar beneden worden getrokken.  Hierbij zou je nog kunnen zeggen dat er een soort afvlakking optreedt en dat de kleine schommelingen hierdoor meer tot uiting komen. Men gaat dus ook de invloed van de outliers verminderen. 
2008-11-12 09:39:49 [Maarten Van Gucht] [reply] 
Task 3:  
Wat hij resulteert bij een log-transformatie is juist. De hogere waarden worden afgevlakt en de kleinere waarden worden omhooggetrokken. Dit betekent niet dat er geen outliers meer aanwezig kunnen zijn. De y-waarden veranderen ook. Deze worden kleiner.

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Dataseries X:

Download CSV

Histogram

Boxplots

110.40	72.50
96.40	59.40
101.90	85.70
106.20	88.20
81.00	62.80
94.70	87.00
101.00	79.20
109.40	112.00
102.30	79.20
90.70	132.10
96.20	40.10
96.10	69.00
106.00	59.40
103.10	73.80
102.00	57.40
104.70	81.10
86.00	46.60
92.10	41.40
106.90	71.20
112.60	67.90
101.70	72.00
92.00	145.50
97.40	39.70
97.00	51.90
105.40	73.70
102.70	70.90
98.10	60.80
104.50	61.00
87.40	54.50
89.90	39.10
109.80	66.60
111.70	58.50
98.60	59.80
96.90	80.90
95.10	37.30
97.00	44.60
112.70	48.70
102.90	54.00
97.40	49.50
111.40	61.60
87.40	35.00
96.80	35.70
114.10	51.30
110.30	49.00
103.90	41.50
101.60	72.50
94.60	42.10
95.90	44.10
104.70	45.10
102.80	50.30
98.10	40.90
113.90	47.20
80.90	36.90
95.70	40.90
113.20	38.30
105.90	46.30
108.80	28.40
102.30	78.40
99.00	36.80
100.70	50.70
115.50	42.80

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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=21632&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=21632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21632&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	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
index	86	96.2	101.7	106	115.5
invest	28.4	42.8	54.5	72	112

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
index & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
invest & 28.4 & 42.8 & 54.5 & 72 & 112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21632&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]index[/C][C]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]invest[/C][C]28.4[/C][C]42.8[/C][C]54.5[/C][C]72[/C][C]112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21632&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
index	86	96.2	101.7	106	115.5
invest	28.4	42.8	54.5	72	112

Boxplot Notches
Variable	lower bound	median	upper bound
index	99.717476951119	101.7	103.682523048881
invest	48.5928905074159	54.5	60.4071094925841

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
index & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
invest & 48.5928905074159 & 54.5 & 60.4071094925841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21632&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]index[/C][C]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]invest[/C][C]48.5928905074159[/C][C]54.5[/C][C]60.4071094925841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21632&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21632&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
index	99.717476951119	101.7	103.682523048881
invest	48.5928905074159	54.5	60.4071094925841

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = red ;

Parameters (R input):

par1 = red ;

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

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code