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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 computationFri, 06 Nov 2009 06:13:33 -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/06/t1257513302j6aqalgho66970d.htm/, Retrieved Sat, 27 Apr 2024 15:15:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54294, Retrieved Sat, 27 Apr 2024 15:15:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbhschhwstws6nbpp1
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [Workshop 6] [2009-11-06 13:13:33] [682632737e024f9e62885141c5f654cd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
131.6	128.6	150.85	126.51
132.05	128.9	147.79	131.02
132.4	129.06	141.96	136.51
132.57	129.23	148.39	138.04
133.02	129.27	147.71	132.92
133.47	129.33	150.6	129.61
133.66	129.35	151.18	122.96
133.96	129.31	152.24	124.04
134.19	129.4	157.19	121.29
134.93	129.49	154.62	124.56
134.9	129.47	157.22	118.53
135.05	129.46	159.7	113.14
135.16	129.45	160.55	114.15
135.23	129.28	149.66	122.17
135.15	129.2	151.69	129.23
135.12	129.25	154.13	131.19
137.29	129.14	151.48	129.12
137.41	129.11	153.34	128.28
137.44	129.02	155.8	126.83
137.62	129.08	158.87	138.13
137.78	128.99	156.09	140.52
137.98	129.11	156.3	146.83
138.06	129.08	156.4	135.14
138.16	129.19	154.09	131.84
138.28	129.23	161.32	125.7
138.33	129.25	160.12	128.98
138.43	129.31	155.17	133.25
138.44	129.33	154.51	136.76
138.41	129.39	151.38	133.24
138.55	129.55	152.59	128.54
138.64	129.43	153.98	121.08
138.72	129.45	154.91	120.23
138.9	129.57	153.01	119.08
139.02	129.76	155.09	125.75
139.04	129.92	155.53	126.89
139.15	130.08	161.86	126.6
139.3	130.41	166.03	121.89
140.73	130.84	164.54	123.44
141.84	131.24	164.33	126.46
141.95	131.49	163.21	129.49
142.1	131.74	159.95	127.78
142.36	132.34	164.18	125.29
142.58	133.5	167.13	119.02
142.75	134.43	166.8	119.96
142.85	136.5	166.29	122.86
143.03	137.41	168.07	131.89
143.19	138.02	167.1	132.73
143.62	138.15	163.53	135.01
143.89	138.24	168.28	136.71
144.69	138.2	169.07	142.73
147.51	138.31	165.84	144.43
147.78	138.65	163.88	144.93
148.04	139.3	157.33	138.75
148.21	139.8	161	130.22
148.29	140.52	163.54	122.19
148.34	141.57	161.21	128.4
148.33	141.77	158.92	140.43
148.38	141.66	160.18	153.5
148.37	141.36	159.9	149.33
148.37	141.17	164.46	142.97

Tables (Output of Computation)





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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54294&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]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54294&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54294&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
ICBG131.6135.195138.595142.94148.38
ICV128.6129.25129.48136.955141.77
ICVSW141.96153.66157.275163.535169.07
ICVGF 113.14123.74129.05135.825153.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
ICBG & 131.6 & 135.195 & 138.595 & 142.94 & 148.38 \tabularnewline
ICV & 128.6 & 129.25 & 129.48 & 136.955 & 141.77 \tabularnewline
ICVSW & 141.96 & 153.66 & 157.275 & 163.535 & 169.07 \tabularnewline
ICVGF
 & 113.14 & 123.74 & 129.05 & 135.825 & 153.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54294&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]ICBG[/C][C]131.6[/C][C]135.195[/C][C]138.595[/C][C]142.94[/C][C]148.38[/C][/ROW]
[ROW][C]ICV[/C][C]128.6[/C][C]129.25[/C][C]129.48[/C][C]136.955[/C][C]141.77[/C][/ROW]
[ROW][C]ICVSW[/C][C]141.96[/C][C]153.66[/C][C]157.275[/C][C]163.535[/C][C]169.07[/C][/ROW]
[ROW][C]ICVGF
[/C][C]113.14[/C][C]123.74[/C][C]129.05[/C][C]135.825[/C][C]153.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54294&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54294&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
ICBG131.6135.195138.595142.94148.38
ICV128.6129.25129.48136.955141.77
ICVSW141.96153.66157.275163.535169.07
ICVGF 113.14123.74129.05135.825153.5






Boxplot Notches
Variablelower boundmedianupper bound
ICBG137.015197183138138.595140.174802816862
ICV127.908356268054129.48131.051643731946
ICVSW155.26072591136157.275159.28927408864
ICVGF 126.584936469750129.05131.515063530250

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
ICBG & 137.015197183138 & 138.595 & 140.174802816862 \tabularnewline
ICV & 127.908356268054 & 129.48 & 131.051643731946 \tabularnewline
ICVSW & 155.26072591136 & 157.275 & 159.28927408864 \tabularnewline
ICVGF
 & 126.584936469750 & 129.05 & 131.515063530250 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54294&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]ICBG[/C][C]137.015197183138[/C][C]138.595[/C][C]140.174802816862[/C][/ROW]
[ROW][C]ICV[/C][C]127.908356268054[/C][C]129.48[/C][C]131.051643731946[/C][/ROW]
[ROW][C]ICVSW[/C][C]155.26072591136[/C][C]157.275[/C][C]159.28927408864[/C][/ROW]
[ROW][C]ICVGF
[/C][C]126.584936469750[/C][C]129.05[/C][C]131.515063530250[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54294&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54294&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
ICBG137.015197183138138.595140.174802816862
ICV127.908356268054129.48131.051643731946
ICVSW155.26072591136157.275159.28927408864
ICVGF 126.584936469750129.05131.515063530250


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')