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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

Fri, 06 Nov 2009 00:16:23 -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/2009/Nov/06/t1257491854eop7pwuzpnzmazm.htm/, Retrieved Sun, 28 Apr 2024 05:30:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54214, Retrieved Sun, 28 Apr 2024 05:30:00 +0000

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Original text written by user:

leningsbedrag (auto) en schulden op Consumentenkredieten

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

165

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

-       [Notched Boxplots] [Shw6: Notched Box...] [2009-11-06 07:16:23] [7a39e26d7a09dd77604df90cb29f8d39] [Current]

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Dataseries X:

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Histogram

Boxplots

24710.92	2180995.35
23983.59	2191117.36
24434.12	2219483.98
23939.23	2217992.79
24290.02	2209675.04
24117.63	2204327.56
23724.64	2217758.16
22989.44	2218743.78
23716.86	2231760.73
25058.83	2242745.96
25059	2269344.45
23579.18	2277708.79
24209.03	2281332.03
24173.67	2293500.47
24706.39	2319792.57
24522.12	2320736.3
24766.15	2303874.92
25940.04	2291488.94
24985.78	2299751.72
24788	2313222.41
26544.56	2314078.67
28019.08	2325555.72
27285.71	2353668.83
29161.16	2363959.25
28357.73	2366135.5
27979.91	2388164.24
27543.95	2415043.36
27397.53	2411619.15
27623.59	2400100.64
27736.07	2398536.15
27803.79	2404054.33
27779.55	2421077.9
27524.13	2430396.04
27582.72	2445739.91
28638.95	2484702.11
28825.78	2499887.85
30132.61	2506371.6
29326.85	2526847.52
29075.62	2551947.88
28230.63	2549403.15
28118.36	2533567.74
28173.29	2529577.21
27396.91	2541049.08
24578.55	2547421.64
24504.77	2555613.49
27582.37	2566290.53
26920.31	2580919.67
25426.68	2587978.57
25390.8	2580098.72
25041.16	2579086.96
22769.42	2592127.5
22921.89	2586944.73
26267.63	2548600.43
27364.67	2516994.05
28382.59	2500125.23
29132.81	2493360.56
28214.51	2475571.42
28865.73	2460157.93
24405.35	2467502.24

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54214&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54214&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	1 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Leningsbedrag	22769.42	24513.445	26544.56	27999.495	30132.61
Schulden	2180995.35	2296626.095	2411619.15	2528212.365	2592127.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Leningsbedrag & 22769.42 & 24513.445 & 26544.56 & 27999.495 & 30132.61 \tabularnewline
Schulden & 2180995.35 & 2296626.095 & 2411619.15 & 2528212.365 & 2592127.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54214&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]Leningsbedrag[/C][C]22769.42[/C][C]24513.445[/C][C]26544.56[/C][C]27999.495[/C][C]30132.61[/C][/ROW]
[ROW][C]Schulden[/C][C]2180995.35[/C][C]2296626.095[/C][C]2411619.15[/C][C]2528212.365[/C][C]2592127.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54214&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
Leningsbedrag	22769.42	24513.445	26544.56	27999.495	30132.61
Schulden	2180995.35	2296626.095	2411619.15	2528212.365	2592127.5

Boxplot Notches
Variable	lower bound	median	upper bound
Leningsbedrag	25827.4848160630	26544.56	27261.6351839370
Schulden	2363982.20642273	2411619.15	2459256.09357727

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Leningsbedrag & 25827.4848160630 & 26544.56 & 27261.6351839370 \tabularnewline
Schulden & 2363982.20642273 & 2411619.15 & 2459256.09357727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54214&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]Leningsbedrag[/C][C]25827.4848160630[/C][C]26544.56[/C][C]27261.6351839370[/C][/ROW]
[ROW][C]Schulden[/C][C]2363982.20642273[/C][C]2411619.15[/C][C]2459256.09357727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54214&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54214&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
Leningsbedrag	25827.4848160630	26544.56	27261.6351839370
Schulden	2363982.20642273	2411619.15	2459256.09357727

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')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code