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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationMon, 22 Dec 2014 14:03:30 +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/22/t1419257021vz57ru0sj185u0n.htm/, Retrieved Thu, 31 Oct 2024 23:38:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271390, Retrieved Thu, 31 Oct 2024 23:38:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2012-10-10 08:19:09] [b98453cac15ba1066b407e146608df68]
- RM    [Notched Boxplots] [] [2014-10-08 18:54:34] [bcf5edf18529a33bd1494456d2c6cb9a]
-           [Notched Boxplots] [h] [2014-12-22 14:03:30] [e3ddd9a57cdbfec6dbe72df2938debe0] [Current]
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Dataseries X:
1.14	0.88	0.85	0.97	0.88	0.86
-0.27	-0.28	-0.21	0.08	0.09	0.02
1.07	0.86	0.82	0.86	0.87	0.84
0.18	0.22	0.26	-0.12	-0.16	-0.22
0.92	0.79	0.78	0.52	0.6	0.62
1.15	0.91	0.88	0.87	0.84	0.81
0.59	0.64	0.62	0.75	0.82	0.81
1.05	0.86	0.83	0.78	0.83	0.8
-0.49	-0.53	-0.47	-0.66	-0.71	-0.68
0.98	0.88	0.84	0.92	0.83	0.8
0.74	0.81	0.78	0.65	0.72	0.71
0.51	0.6	0.62	0.41	0.56	0.57
0.6	0.64	0.61	0.47	0.53	0.52
0.42	0.53	0.53	0.4	0.46	0.45
0.72	0.69	0.66	0.48	0.58	0.57
0.35	0.53	0.49	0.21	0.31	0.32
0.58	0.7	0.67	0.65	0.78	0.78
0.62	0.72	0.71	0.59	0.73	0.78
0.54	0.63	0.63	0.34	0.43	0.4
0.08	0.09	0.13	-0.05	-0.06	-0.02




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271390&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271390&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
mean(pop1)-0.270.3850.5950.951.15
sum(pop1)0.090.530.6650.8350.91
count(pop1)0.130.510.6450.80.88
mean(pop2)-0.120.2750.50.7650.97
sum(pop2)-0.160.370.590.8250.88
count(pop2)-0.220.360.5950.80.86

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
mean(pop1) & -0.27 & 0.385 & 0.595 & 0.95 & 1.15 \tabularnewline
sum(pop1) & 0.09 & 0.53 & 0.665 & 0.835 & 0.91 \tabularnewline
count(pop1) & 0.13 & 0.51 & 0.645 & 0.8 & 0.88 \tabularnewline
mean(pop2) & -0.12 & 0.275 & 0.5 & 0.765 & 0.97 \tabularnewline
sum(pop2) & -0.16 & 0.37 & 0.59 & 0.825 & 0.88 \tabularnewline
count(pop2) & -0.22 & 0.36 & 0.595 & 0.8 & 0.86 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271390&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]mean(pop1)[/C][C]-0.27[/C][C]0.385[/C][C]0.595[/C][C]0.95[/C][C]1.15[/C][/ROW]
[ROW][C]sum(pop1)[/C][C]0.09[/C][C]0.53[/C][C]0.665[/C][C]0.835[/C][C]0.91[/C][/ROW]
[ROW][C]count(pop1)[/C][C]0.13[/C][C]0.51[/C][C]0.645[/C][C]0.8[/C][C]0.88[/C][/ROW]
[ROW][C]mean(pop2)[/C][C]-0.12[/C][C]0.275[/C][C]0.5[/C][C]0.765[/C][C]0.97[/C][/ROW]
[ROW][C]sum(pop2)[/C][C]-0.16[/C][C]0.37[/C][C]0.59[/C][C]0.825[/C][C]0.88[/C][/ROW]
[ROW][C]count(pop2)[/C][C]-0.22[/C][C]0.36[/C][C]0.595[/C][C]0.8[/C][C]0.86[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271390&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
mean(pop1)-0.270.3850.5950.951.15
sum(pop1)0.090.530.6650.8350.91
count(pop1)0.130.510.6450.80.88
mean(pop2)-0.120.2750.50.7650.97
sum(pop2)-0.160.370.590.8250.88
count(pop2)-0.220.360.5950.80.86







Boxplot Notches
Variablelower boundmedianupper bound
mean(pop1)0.3953862116485940.5950.794613788351406
sum(pop1)0.5572438841642850.6650.772756115835715
count(pop1)0.542543365270960.6450.74745663472904
mean(pop2)0.3268836171819660.50.673116382818034
sum(pop2)0.429249073097540.590.75075092690246
count(pop2)0.4395485542042150.5950.750451445795785

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
mean(pop1) & 0.395386211648594 & 0.595 & 0.794613788351406 \tabularnewline
sum(pop1) & 0.557243884164285 & 0.665 & 0.772756115835715 \tabularnewline
count(pop1) & 0.54254336527096 & 0.645 & 0.74745663472904 \tabularnewline
mean(pop2) & 0.326883617181966 & 0.5 & 0.673116382818034 \tabularnewline
sum(pop2) & 0.42924907309754 & 0.59 & 0.75075092690246 \tabularnewline
count(pop2) & 0.439548554204215 & 0.595 & 0.750451445795785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271390&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]mean(pop1)[/C][C]0.395386211648594[/C][C]0.595[/C][C]0.794613788351406[/C][/ROW]
[ROW][C]sum(pop1)[/C][C]0.557243884164285[/C][C]0.665[/C][C]0.772756115835715[/C][/ROW]
[ROW][C]count(pop1)[/C][C]0.54254336527096[/C][C]0.645[/C][C]0.74745663472904[/C][/ROW]
[ROW][C]mean(pop2)[/C][C]0.326883617181966[/C][C]0.5[/C][C]0.673116382818034[/C][/ROW]
[ROW][C]sum(pop2)[/C][C]0.42924907309754[/C][C]0.59[/C][C]0.75075092690246[/C][/ROW]
[ROW][C]count(pop2)[/C][C]0.439548554204215[/C][C]0.595[/C][C]0.750451445795785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271390&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271390&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
mean(pop1)0.3953862116485940.5950.794613788351406
sum(pop1)0.5572438841642850.6650.772756115835715
count(pop1)0.542543365270960.6450.74745663472904
mean(pop2)0.3268836171819660.50.673116382818034
sum(pop2)0.429249073097540.590.75075092690246
count(pop2)0.4395485542042150.5950.750451445795785



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')