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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 computationWed, 17 Dec 2014 15:08:49 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/17/t14188290069pjr3tbqkbyngpo.htm/, Retrieved Thu, 16 May 2024 15:26:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270384, Retrieved Thu, 16 May 2024 15:26:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD      [Notched Boxplots] [] [2011-10-18 22:58:56] [b98453cac15ba1066b407e146608df68]
- RMPD        [Notched Boxplots] [] [2014-12-15 17:39:17] [bcd8153d44f369b7624d3c1b4621c4c3]
- R  D          [Notched Boxplots] [] [2014-12-15 17:41:08] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D            [Notched Boxplots] [] [2014-12-15 17:43:36] [bcd8153d44f369b7624d3c1b4621c4c3]
-    D              [Notched Boxplots] [] [2014-12-15 17:56:05] [bcd8153d44f369b7624d3c1b4621c4c3]
-                     [Notched Boxplots] [] [2014-12-15 18:21:23] [bcd8153d44f369b7624d3c1b4621c4c3]
-   PD                  [Notched Boxplots] [] [2014-12-17 10:22:06] [bcd8153d44f369b7624d3c1b4621c4c3]
-   PD                      [Notched Boxplots] [] [2014-12-17 15:08:49] [6e98989d1e11d52934121e5a163a7817] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15	21	24
21	26	17
30	22	22
20	22	15
14	18	20
18	23	24
19	12	15
25	20	20
23	22	20
17	21	17
21	19	11
21	22	21
8	15	28
29	20	14
20	19	13
19	18	12
22	20	21
23	21	13
24	15	19
12	16	23
22	23	27
12	21	25
22	18	27
20	25	16
10	9	20
23	23	18
17	16	19
22	16	17
24	19	10
18	25	11
21	25	16
20	18	13
20	23	14
22	21	12
19	10	15
20	22	15
26	26	14
23	23	10
24	23	13
21	24	21
21	24	11
19	23	14
8	15	20
17	16	7
20	19	24
11	18	16
8	27	22
15	13	25
18	28	5
18	23	19
19	21	23
19	19	13
30	19	10
17	18	12
24	19	21
20	17	22
25	25	20
20	19	17
27	26	13
18	14	9
28	28	22
21	16	15
27	20	12
22	24	25
28	23	14
25	22	14
21	21	17
22	25	9
28	27	10
20	23	15
29	23	15
20	18	15
20	18	14
23	23	21
18	19	13
18	15	20
19	20	16
25	16	12
25	25	20
25	25	18
24	19	21
19	19	23
26	16	13
10	19	22
17	19	14
13	23	23
17	21	16
30	22	14
4	19	22
16	20	19
21	3	23
22	23	16
20	14	20
22	23	8
23	20	16
16	15	11
0	13	16
18	16	10
25	7	17
18	24	16
18	17	17
24	24	10
29	24	15
15	19	13
22	28	19
23	23	14
24	19	18
22	23	25
15	25	10
17	25	22
20	20	15
27	16	18
26	20	22
23	25	18
23	25	15
15	23	20
26	17	18
22	20	6
18	16	17
15	23	12
22	12	12
27	24	19
10	11	23
20	14	26
17	23	28
23	18	19
19	29	16
13	16	3
27	19	11
23	16	15
16	23	22
25	19	12
2	4	21
26	20	25
20	20	12
22	4	14
24	24	24
24	16	12
22	3	13
18	24	15
28	23	17
18	17	12
21	20	28
NA	22	25
24	19	14
19	24	21
24	19	18
19	27	23
17	22	16
20	23	15
21	17	5
21	22	19
21	19	22
16	14	19
27	20	12
15	26	22
21	22	18
18	17	24
22	23	19
20	23	4
17	28	20
21	29	24
23	21	26
18	24	22
22	20	19
24	7	9
27	19	22
20	28	18
27	26	16
20	19	19
20	20	20
21	23	21
26	24	17
25	16	9
18	19	26
21	24	28
16	21	13
25	16	16
20	16	22
27	21	18
20	NA	21
18	28	10
26	16	15
18	23	15
16	26	13
18	29	10
21	18	23
18	19	21
25	19	14
20	16	17
23	16	15
22	16	15
10	18	17
18	22	26
25	14	12
23	20	14
22	15	26
23	22	18
19	16	17
14	15	20
26	11	16
17	15	19
15	20	12
21	21	20
20	16	19
22	17	25
20	15	19
26	16	15
26	18	12
20	25	NA
24	20	NA
20	24	NA
15	28	NA
25	22	NA
20	20	NA
27	27	NA
20	17	NA
17	22	NA
22	23	NA
24	22	NA
22	13	NA
16	19	NA
22	15	NA
23	20	NA
19	24	NA
20	18	NA
15	19	NA
22	15	NA
12	20	NA
15	13	NA
27	23	NA
24	24	NA
18	23	NA
18	19	NA
25	20	NA
12	22	NA
19	25	NA
NA	26	NA
NA	24	NA
NA	27	NA
NA	16	NA
NA	15	NA
NA	25	NA
NA	27	NA
NA	23	NA
NA	21	NA
NA	14	NA
NA	24	NA
NA	16	NA
NA	22	NA
NA	13	NA
NA	17	NA
NA	23	NA
NA	22	NA
NA	23	NA
NA	26	NA
NA	14	NA
NA	24	NA
NA	21	NA
NA	16	NA
NA	11	NA
NA	NA	NA
NA	19	NA
NA	16	NA
NA	19	NA
NA	16	NA
NA	11	NA
NA	23	NA
NA	27	NA
NA	23	NA
NA	25	NA
NA	24	NA
NA	22	NA
NA	26	NA
NA	19	NA
NA	19	NA
NA	19	NA
NA	20	NA
NA	16	NA
NA	22	NA
NA	21	NA
NA	26	NA
NA	23	NA
NA	21	NA
NA	22	NA
NA	26	NA
NA	27	NA

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270384&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270384&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270384&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'Herman Ole Andreas Wold' @ wold.wessa.net






\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
B & 10 & 18 & 21 & 24 & 30 \tabularnewline
S & 9 & 17 & 20 & 23 & 29 \tabularnewline
A & 4 & 14 & 17 & 21 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270384&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]B[/C][C]10[/C][C]18[/C][C]21[/C][C]24[/C][C]30[/C][/ROW]
[ROW][C]S[/C][C]9[/C][C]17[/C][C]20[/C][C]23[/C][C]29[/C][/ROW]
[ROW][C]A[/C][C]4[/C][C]14[/C][C]17[/C][C]21[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270384&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270384&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
B1018212430
S917202329
A414172128






Boxplot Notches
Variablelower boundmedianupper bound
B20.38290456195092121.6170954380491
S19.43845326388442020.5615467361156
A16.23496380296411717.7650361970359

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
B & 20.3829045619509 & 21 & 21.6170954380491 \tabularnewline
S & 19.4384532638844 & 20 & 20.5615467361156 \tabularnewline
A & 16.2349638029641 & 17 & 17.7650361970359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270384&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]B[/C][C]20.3829045619509[/C][C]21[/C][C]21.6170954380491[/C][/ROW]
[ROW][C]S[/C][C]19.4384532638844[/C][C]20[/C][C]20.5615467361156[/C][/ROW]
[ROW][C]A[/C][C]16.2349638029641[/C][C]17[/C][C]17.7650361970359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270384&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270384&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
B20.38290456195092121.6170954380491
S19.43845326388442020.5615467361156
A16.23496380296411717.7650361970359


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 14 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;
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')