Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationThu, 06 Nov 2008 06:51:03 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/06/t122597988754lkg2x13s5t07f.htm/, Retrieved Tue, 14 May 2024 09:01:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22175, Retrieved Tue, 14 May 2024 09:01:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordskleuter
Estimated Impact202
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
- R  D  [Notched Boxplots] [Q1] [2008-10-28 14:07:27] [3d2d096cc21c6f80db3dd7b8e12effce]
-    D      [Notched Boxplots] [Workshop 1, task ...] [2008-11-06 13:51:03] [b5c0979bf79a38ace87e0d3abace1ca1] [Current]
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Dataseries X:
59,40	73,80	70,90	54,00	50,30
85,70	57,40	60,80	49,50	40,90
88,20	81,10	61,00	61,60	47,20
62,80	46,60	54,50	35,00	36,90
87,00	41,40	39,10	35,70	40,90
79,20	71,20	66,60	51,30	38,30
112,00	67,90	58,50	49,00	46,30
79,20	72,00	59,80	41,50	28,40
132,10	145,50	80,90	72,50	78,40
40,10	39,70	37,30	42,10	36,80
69,00	51,90	44,60	44,10	50,70
59,40	73,70	48,70	45,10	42,80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22175&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22175&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
140.161.179.287.6112
239.749.2569.5573.7581.1
337.346.6559.1563.880.9
43541.847.0552.6561.6
528.437.641.8548.7550.7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
1 & 40.1 & 61.1 & 79.2 & 87.6 & 112 \tabularnewline
2 & 39.7 & 49.25 & 69.55 & 73.75 & 81.1 \tabularnewline
3 & 37.3 & 46.65 & 59.15 & 63.8 & 80.9 \tabularnewline
4 & 35 & 41.8 & 47.05 & 52.65 & 61.6 \tabularnewline
5 & 28.4 & 37.6 & 41.85 & 48.75 & 50.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22175&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]1[/C][C]40.1[/C][C]61.1[/C][C]79.2[/C][C]87.6[/C][C]112[/C][/ROW]
[ROW][C]2[/C][C]39.7[/C][C]49.25[/C][C]69.55[/C][C]73.75[/C][C]81.1[/C][/ROW]
[ROW][C]3[/C][C]37.3[/C][C]46.65[/C][C]59.15[/C][C]63.8[/C][C]80.9[/C][/ROW]
[ROW][C]4[/C][C]35[/C][C]41.8[/C][C]47.05[/C][C]52.65[/C][C]61.6[/C][/ROW]
[ROW][C]5[/C][C]28.4[/C][C]37.6[/C][C]41.85[/C][C]48.75[/C][C]50.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22175&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
140.161.179.287.6112
239.749.2569.5573.7581.1
337.346.6559.1563.880.9
43541.847.0552.6561.6
528.437.641.8548.7550.7







Boxplot Notches
Variablelower boundmedianupper bound
167.113172114515279.291.2868278854848
258.375385539834869.5580.7246144601652
351.327769877884459.1566.9722301221156
442.101242167641147.0551.9987578323589
536.764410153843241.8546.9355898461568

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
1 & 67.1131721145152 & 79.2 & 91.2868278854848 \tabularnewline
2 & 58.3753855398348 & 69.55 & 80.7246144601652 \tabularnewline
3 & 51.3277698778844 & 59.15 & 66.9722301221156 \tabularnewline
4 & 42.1012421676411 & 47.05 & 51.9987578323589 \tabularnewline
5 & 36.7644101538432 & 41.85 & 46.9355898461568 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22175&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]1[/C][C]67.1131721145152[/C][C]79.2[/C][C]91.2868278854848[/C][/ROW]
[ROW][C]2[/C][C]58.3753855398348[/C][C]69.55[/C][C]80.7246144601652[/C][/ROW]
[ROW][C]3[/C][C]51.3277698778844[/C][C]59.15[/C][C]66.9722301221156[/C][/ROW]
[ROW][C]4[/C][C]42.1012421676411[/C][C]47.05[/C][C]51.9987578323589[/C][/ROW]
[ROW][C]5[/C][C]36.7644101538432[/C][C]41.85[/C][C]46.9355898461568[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22175&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22175&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
167.113172114515279.291.2868278854848
258.375385539834869.5580.7246144601652
351.327769877884459.1566.9722301221156
442.101242167641147.0551.9987578323589
536.764410153843241.8546.9355898461568



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')