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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 26 Feb 2013 15:31:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361910746pupjna8m6lmukd7.htm/, Retrieved Sun, 05 May 2024 04:58:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207108, Retrieved Sun, 05 May 2024 04:58:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2013-02-26 20:31:34] [8f84a338303fe8d74ac0d8ad91c8b331] [Current]
- R PD    [Notched Boxplots] [] [2014-08-17 22:19:23] [f974b105a61ab974a820d469d59cfaf7]
- RMP     [Harrell-Davis Quantiles] [] [2014-08-17 22:39:29] [f974b105a61ab974a820d469d59cfaf7]
- RMP     [Harrell-Davis Quantiles] [] [2014-08-17 22:47:58] [f974b105a61ab974a820d469d59cfaf7]
- R  D    [Notched Boxplots] [] [2014-08-18 05:14:28] [f974b105a61ab974a820d469d59cfaf7]
- RMPD    [Harrell-Davis Quantiles] [] [2014-08-18 05:22:13] [f974b105a61ab974a820d469d59cfaf7]
- R P       [Harrell-Davis Quantiles] [] [2014-08-18 05:24:34] [f974b105a61ab974a820d469d59cfaf7]
- RMP       [Central Tendency] [] [2014-08-18 05:30:11] [f974b105a61ab974a820d469d59cfaf7]
- RMP       [Mean Plot] [] [2014-08-18 05:40:18] [f974b105a61ab974a820d469d59cfaf7]
- RMP       [(Partial) Autocorrelation Function] [] [2014-08-18 06:01:25] [f974b105a61ab974a820d469d59cfaf7]
- R P         [(Partial) Autocorrelation Function] [] [2014-08-18 06:09:45] [f974b105a61ab974a820d469d59cfaf7]
- RMP         [Standard Deviation Plot] [] [2014-08-18 06:17:47] [f974b105a61ab974a820d469d59cfaf7]
- RMP         [Standard Deviation-Mean Plot] [] [2014-08-18 06:30:50] [f974b105a61ab974a820d469d59cfaf7]
- RMP         [Classical Decomposition] [] [2014-08-18 06:45:26] [f974b105a61ab974a820d469d59cfaf7]
- RMPD        [Univariate Data Series] [] [2014-08-18 07:05:48] [f85cc8f00ef4b762f0a6fdfddc793773]
- R             [Univariate Data Series] [] [2014-08-18 07:07:33] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM            [Histogram] [] [2014-08-18 07:10:06] [f85cc8f00ef4b762f0a6fdfddc793773]
- RM            [Kernel Density Estimation] [] [2014-08-18 07:12:07] [f974b105a61ab974a820d469d59cfaf7]
- RM            [Notched Boxplots] [] [2014-08-18 07:14:57] [f974b105a61ab974a820d469d59cfaf7]
- RM            [Harrell-Davis Quantiles] [] [2014-08-18 07:16:46] [f974b105a61ab974a820d469d59cfaf7]
- RM            [Harrell-Davis Quantiles] [] [2014-08-18 07:19:42] [f974b105a61ab974a820d469d59cfaf7]
- RM            [Central Tendency] [] [2014-08-18 07:24:13] [f974b105a61ab974a820d469d59cfaf7]
- RM            [Mean versus Median] [] [2014-08-18 07:29:41] [f974b105a61ab974a820d469d59cfaf7]
- RM              [Mean Plot] [] [2014-08-18 07:32:51] [f974b105a61ab974a820d469d59cfaf7]
- RM              [(Partial) Autocorrelation Function] [] [2014-08-18 07:41:46] [f974b105a61ab974a820d469d59cfaf7]
- R                 [(Partial) Autocorrelation Function] [] [2014-08-18 07:52:14] [f974b105a61ab974a820d469d59cfaf7]
- RM                [Variability] [] [2014-08-18 07:54:08] [f974b105a61ab974a820d469d59cfaf7]
- RM                [Standard Deviation-Mean Plot] [] [2014-08-18 07:59:48] [f974b105a61ab974a820d469d59cfaf7]
- RM                [Classical Decomposition] [] [2014-08-18 08:06:30] [f974b105a61ab974a820d469d59cfaf7]
- RM                [Exponential Smoothing] [] [2014-08-18 08:23:15] [f974b105a61ab974a820d469d59cfaf7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25
20
22
15
20
30
20
25
30
35
22
12
30
15
10
30
9
25
20
20
35
25
35
30
12
25
15
25
25
20
20
6
15
40
20
40
25
25
20
15
15
22
24
22
20
25
25
25
35
40
20
22
22
20
25
25
18
25
20
25
30
20
22
35
22
25
25
25
25
22
23
35
15
25
18
22
25
25
28
30
20
25
25
30
22
30
10
10
25
20
22
25
25
15
22
25
25
28
22
30
25
20
25
25
20
30
20
30
50
19
20
28
20
25
35
25
25
15
16
20
20
25
30
20
25
25
25
20
20
25
25
30
22
20
25
25
18
18
20
25
25
30
25
20
25
20
20
20
22
18
22
20
15
25
25
20
25
15
22
25
25
15
12
25
30
22
15
22
25
12
18
30
25
25
40
24
25
15
25
20
25
25
25
20
30
20
25
30
22
25
25
25
50
19
50
25
35
20
20
20
20
20
25
25
25
20
20
20
20
25
18
25
22
22
30
30
8
20
25
30
50
22
20
10
25
25
25
25
18
25
20
25
30
18
20
25
22
22
20
20
25
20
20
20
20
25
20
10
20
25
30
25
50
30
30
50
15
25
25
22
20
22
30
25
18
22
22
30
40
25
20
10
20
9
15
20
15
20
30
12
15
12
20
15
12
25
20
25
25
25
30
20
25
15
15
22
10
15
10
20
25
20
20
38
20
20
20
40
25
25
30
25
10
20
25
12
15
25
20
22
22
20
25
25
25
15
40
20
20
16
25
15
20
25
20
30
50
20
25
20
30
30
25
25
12
25
25
25
20
20
20
15
20
25
15
25
50
30
20
20
25
12
15
20
20
35
22
15
18
30
22
12
12
20
20
15
25
15
20
20
25
18
30
20
25
25
25
20
20
25
20
22
15
15
22
20
10
25
20
20
15
12
20
5
20
15
15
25
25
25
15
25
22
25
20
18
22
25
35
25
25
25
35
30
22
30
50
15
25
24
20
25
25
25
12
15
22
25
25
25
25
15
20
20
15
35
30
20
22
65
20
25
22
20
25
25
20
25
15
20
12
15
10
25
15
30
35
25
25
25
25
25
40
40
25
25
20
25
25
22
25
30
25
25
30
25
25
30
25
25
20
22
22
20
25
22
25
22
40
25
25
25
22
20
35
20
35
25
22
25
25
25
25
25
40
25
30
25
20
25
25
30
22
22
20
15
15
25
25
20
20
15
25
15
20
22
25
15
15
18
5
15
25
18
40
25
25
20
30
20
25
25
25
22
22
25
25
30
25
25
25
25
20
20
25
25
25
25
20
30
25
22
30
20
20
30
25
25
30
20
25
25
24
25
30
18
15
22
22
25
22
22
25
15
20
22
18
35
20
20
20
25
25
30
15
25
22
26
25
20
25
25
25
22
25
25
20
22
30
15
30
25
20
25
25
35
22
20
25
20
20
18
20
22
25
10
20
25
20
20
30
25
20
15
20
25
10
20
25
22
22
25
25
15
25
20
10
25
16
25
35
25
15
25
25
30
25
10
22
20
25
20
20
25
22
18
30
19
25
20
25
20
25
20
22
12
30
12
22
25
25
25
25
30
30
10
22
22
25
20
22
20
25
20
15
25
20
25
20
30
15
40
25
20
22
22
30
20
40
20
25
20
25
20
50
50
25
25
40
30
22
30
20
25
25
30
25
25
20
18
18
28
25
22
15
40
40
12
12
18
12
25
26
18
25
22
15
25
15
15
15
25
15
12
22
20
20
25
20
12
9
15
12
15
25
20
20
15
15
30
21
25
22
22
50
15
25
15
25
22
18
50
20
50
20
20
30
25
20
22
25
50
40
25
25
25
25
30
40
25
30
20

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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207108&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207108&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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
A & 13 & 20 & 22 & 25 & 30 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207108&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]A[/C][C]13[/C][C]20[/C][C]22[/C][C]25[/C][C]30[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207108&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
A1320222530






Boxplot Notches
Variablelower boundmedianupper bound
A21.73666666666672222.2633333333333

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
A & 21.7366666666667 & 22 & 22.2633333333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207108&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]A[/C][C]21.7366666666667[/C][C]22[/C][C]22.2633333333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207108&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207108&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
A21.73666666666672222.2633333333333


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):
par1 <- 'grey'
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')