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Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 12 Dec 2016 14:02:52 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/12/t1481547801f0a8592g4fm5qug.htm/, Retrieved Fri, 03 May 2024 23:59:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298886, Retrieved Fri, 03 May 2024 23:59:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched boxplot t...] [2016-12-12 13:02:52] [71d167f7de04005af677e6526bf8917e] [Current]
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Dataseries X:
16	13
17	17
16	17
17	15
16	16
16	14
15	16
13	16
14	15
17	16
13	16
16	13
15	17
15	17
13	14
17	18
11	14
13	17
16	15
17	17
16	14
16	16
16	15
12	10
16	17
15	17
14	17
17	17
20	18
17	15
18	16
14	12
16	16
18	14
16	15
13	14
16	18
16	11
15	18
15	19
16	17
11	14
15	13
17	16
14	16
19	18
14	15
15	16
12	NA
17	NA
15	NA
16	NA




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298886&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298886&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Vrouwen11141616.520
Mannen1014161719

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Vrouwen & 11 & 14 & 16 & 16.5 & 20 \tabularnewline
Mannen & 10 & 14 & 16 & 17 & 19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298886&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]Vrouwen[/C][C]11[/C][C]14[/C][C]16[/C][C]16.5[/C][C]20[/C][/ROW]
[ROW][C]Mannen[/C][C]10[/C][C]14[/C][C]16[/C][C]17[/C][C]19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298886&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
Vrouwen11141616.520
Mannen1014161719







Boxplot Notches
Variablelower boundmedianupper bound
Vrouwen15.45223355622761616.5477664437724
Mannen15.31583993101031616.6841600689897

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Vrouwen & 15.4522335562276 & 16 & 16.5477664437724 \tabularnewline
Mannen & 15.3158399310103 & 16 & 16.6841600689897 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298886&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]Vrouwen[/C][C]15.4522335562276[/C][C]16[/C][C]16.5477664437724[/C][/ROW]
[ROW][C]Mannen[/C][C]15.3158399310103[/C][C]16[/C][C]16.6841600689897[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298886&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298886&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
Vrouwen15.45223355622761616.5477664437724
Mannen15.31583993101031616.6841600689897



Parameters (Session):
par1 = 12 ; par2 = Double ; par3 = additive ; par4 = 12 ;
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
if(par2=='yes') {
z <- na.omit(as.data.frame(t(y)))
} else {
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,'Boxplot statistics',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower whisker',1,TRUE)
a<-table.element(a,'lower hinge',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper hinge',1,TRUE)
a<-table.element(a,'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')