Free Statistics

of Irreproducible Research!

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, 21 Oct 2011 16:04:22 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/21/t1319227475gvvwafx72dvvjis.htm/, Retrieved Fri, 10 May 2024 13:55:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=133670, Retrieved Fri, 10 May 2024 13:55:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- R  D      [Notched Boxplots] [] [2011-10-21 20:00:09] [1dc3906a3b5a6ec06dc921f387100c9e]
-    D          [Notched Boxplots] [] [2011-10-21 20:04:22] [43f1c1fe5c2aaa4d7bd6f731e1a494da] [Current]
-    D            [Notched Boxplots] [] [2011-10-21 20:06:21] [1dc3906a3b5a6ec06dc921f387100c9e]
Feedback Forum

Post a new message
Dataseries X:
NA	20	NA	15	NA	14	NA	25	NA	16	NA	23	NA	4
NA	28	NA	28	NA	24	NA	28	NA	28	NA	27	NA	4
22	NA	25	NA	15	NA	26	NA	23	NA	22	NA	4	NA
18	NA	19	NA	15	NA	26	NA	21	NA	27	NA	7	NA
23	NA	20	NA	10	NA	23	NA	21	NA	26	NA	4	NA
20	NA	24	NA	14	NA	22	NA	26	NA	22	NA	6	NA
NA	25	NA	26	NA	18	NA	24	NA	22	NA	21	NA	5
NA	26	NA	25	NA	12	NA	21	NA	21	NA	19	NA	4
15	NA	12	NA	9	NA	20	NA	18	NA	24	NA	16	NA
NA	17	NA	12	NA	9	NA	22	NA	12	NA	19	NA	5
NA	23	NA	15	NA	8	NA	20	NA	25	NA	26	NA	12
21	NA	17	NA	18	NA	25	NA	17	NA	22	NA	6	NA
NA	13	NA	14	NA	10	NA	20	NA	24	NA	28	NA	9
18	NA	16	NA	17	NA	22	NA	15	NA	21	NA	9	NA
19	NA	11	NA	14	NA	23	NA	13	NA	23	NA	4	NA
22	NA	20	NA	16	NA	25	NA	26	NA	28	NA	5	NA
16	NA	11	NA	10	NA	23	NA	16	NA	10	NA	4	NA
NA	24	NA	22	NA	19	NA	23	NA	24	NA	24	NA	4
18	NA	20	NA	10	NA	22	NA	21	NA	21	NA	5	NA
20	NA	19	NA	14	NA	24	NA	20	NA	21	NA	4	NA
24	NA	17	NA	10	NA	25	NA	14	NA	24	NA	4	NA
NA	14	NA	21	NA	4	NA	21	NA	25	NA	24	NA	4
NA	22	NA	23	NA	19	NA	12	NA	25	NA	25	NA	5
24	NA	18	NA	9	NA	17	NA	20	NA	25	NA	4	NA
18	NA	17	NA	12	NA	20	NA	22	NA	23	NA	6	NA
21	NA	27	NA	16	NA	23	NA	20	NA	21	NA	4	NA
NA	23	NA	25	NA	11	NA	23	NA	26	NA	16	NA	4
17	NA	19	NA	18	NA	20	NA	18	NA	17	NA	18	NA
NA	22	NA	22	NA	11	NA	28	NA	22	NA	25	NA	4
NA	24	NA	24	NA	24	NA	24	NA	24	NA	24	NA	6
NA	21	NA	20	NA	17	NA	24	NA	17	NA	23	NA	4
22	NA	19	NA	18	NA	24	NA	24	NA	25	NA	4	NA
16	NA	11	NA	9	NA	24	NA	20	NA	23	NA	5	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133670&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133670&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I1M1518202224
I1F142022.52428
I2M1216.5192025
I2F1215222528
I3M910141618
I3F410131924
E1M20222324.526
E1F2021232428
E2M1317.52021.526
E2F1621242528
E3M17212324.528
E3F1621242528
AM44569
AF44456

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1M & 15 & 18 & 20 & 22 & 24 \tabularnewline
I1F & 14 & 20 & 22.5 & 24 & 28 \tabularnewline
I2M & 12 & 16.5 & 19 & 20 & 25 \tabularnewline
I2F & 12 & 15 & 22 & 25 & 28 \tabularnewline
I3M & 9 & 10 & 14 & 16 & 18 \tabularnewline
I3F & 4 & 10 & 13 & 19 & 24 \tabularnewline
E1M & 20 & 22 & 23 & 24.5 & 26 \tabularnewline
E1F & 20 & 21 & 23 & 24 & 28 \tabularnewline
E2M & 13 & 17.5 & 20 & 21.5 & 26 \tabularnewline
E2F & 16 & 21 & 24 & 25 & 28 \tabularnewline
E3M & 17 & 21 & 23 & 24.5 & 28 \tabularnewline
E3F & 16 & 21 & 24 & 25 & 28 \tabularnewline
AM & 4 & 4 & 5 & 6 & 9 \tabularnewline
AF & 4 & 4 & 4 & 5 & 6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133670&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]I1M[/C][C]15[/C][C]18[/C][C]20[/C][C]22[/C][C]24[/C][/ROW]
[ROW][C]I1F[/C][C]14[/C][C]20[/C][C]22.5[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]I2M[/C][C]12[/C][C]16.5[/C][C]19[/C][C]20[/C][C]25[/C][/ROW]
[ROW][C]I2F[/C][C]12[/C][C]15[/C][C]22[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]I3M[/C][C]9[/C][C]10[/C][C]14[/C][C]16[/C][C]18[/C][/ROW]
[ROW][C]I3F[/C][C]4[/C][C]10[/C][C]13[/C][C]19[/C][C]24[/C][/ROW]
[ROW][C]E1M[/C][C]20[/C][C]22[/C][C]23[/C][C]24.5[/C][C]26[/C][/ROW]
[ROW][C]E1F[/C][C]20[/C][C]21[/C][C]23[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E2M[/C][C]13[/C][C]17.5[/C][C]20[/C][C]21.5[/C][C]26[/C][/ROW]
[ROW][C]E2F[/C][C]16[/C][C]21[/C][C]24[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E3M[/C][C]17[/C][C]21[/C][C]23[/C][C]24.5[/C][C]28[/C][/ROW]
[ROW][C]E3F[/C][C]16[/C][C]21[/C][C]24[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]AM[/C][C]4[/C][C]4[/C][C]5[/C][C]6[/C][C]9[/C][/ROW]
[ROW][C]AF[/C][C]4[/C][C]4[/C][C]4[/C][C]5[/C][C]6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133670&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133670&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
I1M1518202224
I1F142022.52428
I2M1216.5192025
I2F1215222528
I3M910141618
I3F410131924
E1M20222324.526
E1F2021232428
E2M1317.52021.526
E2F1621242528
E3M17212324.528
E3F1621242528
AM44569
AF44456







Boxplot Notches
Variablelower boundmedianupper bound
I1M18.55009256193812021.4499074380619
I1F20.810908951113522.524.1890910488865
I2M17.73133099169581920.2686690083042
I2F17.77727237778372226.2227276222163
I3M11.82513884290711416.1748611570929
I3F9.199545140005331316.8004548599947
E1M22.09380785121132323.9061921487887
E1F21.73318171333512324.2668182866649
E2M18.55009256193812021.4499074380619
E2F22.31090895111352425.6890910488865
E3M21.73133099169582324.2686690083042
E3F22.31090895111352425.6890910488865
AM4.2750462809690255.72495371903098
AF3.5777272377783744.42227276222163

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1M & 18.5500925619381 & 20 & 21.4499074380619 \tabularnewline
I1F & 20.8109089511135 & 22.5 & 24.1890910488865 \tabularnewline
I2M & 17.7313309916958 & 19 & 20.2686690083042 \tabularnewline
I2F & 17.7772723777837 & 22 & 26.2227276222163 \tabularnewline
I3M & 11.8251388429071 & 14 & 16.1748611570929 \tabularnewline
I3F & 9.19954514000533 & 13 & 16.8004548599947 \tabularnewline
E1M & 22.0938078512113 & 23 & 23.9061921487887 \tabularnewline
E1F & 21.7331817133351 & 23 & 24.2668182866649 \tabularnewline
E2M & 18.5500925619381 & 20 & 21.4499074380619 \tabularnewline
E2F & 22.3109089511135 & 24 & 25.6890910488865 \tabularnewline
E3M & 21.7313309916958 & 23 & 24.2686690083042 \tabularnewline
E3F & 22.3109089511135 & 24 & 25.6890910488865 \tabularnewline
AM & 4.27504628096902 & 5 & 5.72495371903098 \tabularnewline
AF & 3.57772723777837 & 4 & 4.42227276222163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=133670&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]I1M[/C][C]18.5500925619381[/C][C]20[/C][C]21.4499074380619[/C][/ROW]
[ROW][C]I1F[/C][C]20.8109089511135[/C][C]22.5[/C][C]24.1890910488865[/C][/ROW]
[ROW][C]I2M[/C][C]17.7313309916958[/C][C]19[/C][C]20.2686690083042[/C][/ROW]
[ROW][C]I2F[/C][C]17.7772723777837[/C][C]22[/C][C]26.2227276222163[/C][/ROW]
[ROW][C]I3M[/C][C]11.8251388429071[/C][C]14[/C][C]16.1748611570929[/C][/ROW]
[ROW][C]I3F[/C][C]9.19954514000533[/C][C]13[/C][C]16.8004548599947[/C][/ROW]
[ROW][C]E1M[/C][C]22.0938078512113[/C][C]23[/C][C]23.9061921487887[/C][/ROW]
[ROW][C]E1F[/C][C]21.7331817133351[/C][C]23[/C][C]24.2668182866649[/C][/ROW]
[ROW][C]E2M[/C][C]18.5500925619381[/C][C]20[/C][C]21.4499074380619[/C][/ROW]
[ROW][C]E2F[/C][C]22.3109089511135[/C][C]24[/C][C]25.6890910488865[/C][/ROW]
[ROW][C]E3M[/C][C]21.7313309916958[/C][C]23[/C][C]24.2686690083042[/C][/ROW]
[ROW][C]E3F[/C][C]22.3109089511135[/C][C]24[/C][C]25.6890910488865[/C][/ROW]
[ROW][C]AM[/C][C]4.27504628096902[/C][C]5[/C][C]5.72495371903098[/C][/ROW]
[ROW][C]AF[/C][C]3.57772723777837[/C][C]4[/C][C]4.42227276222163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=133670&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=133670&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
Variablelower boundmedianupper bound
I1M18.55009256193812021.4499074380619
I1F20.810908951113522.524.1890910488865
I2M17.73133099169581920.2686690083042
I2F17.77727237778372226.2227276222163
I3M11.82513884290711416.1748611570929
I3F9.199545140005331316.8004548599947
E1M22.09380785121132323.9061921487887
E1F21.73318171333512324.2668182866649
E2M18.55009256193812021.4499074380619
E2F22.31090895111352425.6890910488865
E3M21.73133099169582324.2686690083042
E3F22.31090895111352425.6890910488865
AM4.2750462809690255.72495371903098
AF3.5777272377783744.42227276222163



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')