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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 computationWed, 11 Nov 2009 04:16:05 -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/2009/Nov/11/t1257938268gr5ijrarcndpfv6.htm/, Retrieved Thu, 28 Mar 2024 20:31:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55490, Retrieved Thu, 28 Mar 2024 20:31:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [Notched Boxplots] [2009-11-11 11:16:05] [21abcd6b6f55e53f03dbc7aec5059429] [Current]
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Dataseries X:
24	8.1	10.9	22.9
23	7.7	10	22.6
24	7.5	9.2	22.3
24	7.6	9.2	22.3
27	7.8	9.5	22.6
28	7.8	9.6	23.1
25	7.8	9.5	22.8
19	7.5	9.1	22.5
19	7.5	8.9	22.9
19	7.1	9	23.1
20	7.5	10.1	23.1
16	7.5	10.3	23.2
22	7.6	10.2	22.5
21	7.7	9.6	22.6
25	7.7	9.2	22.9
29	7.9	9.3	22.6
28	8.1	9.4	22.4
25	8.2	9.4	21.7
26	8.2	9.2	22
24	8.2	9	22.2
28	7.9	9	21.9
28	7.3	9	21.6
28	6.9	9.8	21.6
28	6.6	10	21.2
32	6.7	9.8	21.2
31	6.9	9.3	21.5
22	7	9	21.6
29	7.1	9	21.7
31	7.2	9.1	21.8
29	7.1	9.1	21.8
32	6.9	9.1	21.8
32	7	9.2	21.3
31	6.8	8.8	21.3
29	6.4	8.3	21.4
28	6.7	8.4	21.1
28	6.6	8.1	21.5
29	6.4	7.7	22.2
22	6.3	7.9	22.9
26	6.2	7.9	23.1
24	6.5	8	23.5
27	6.8	7.9	23.6
27	6.8	7.6	24.4
23	6.4	7.1	24.2
21	6.1	6.8	25.2
19	5.8	6.5	25.8
17	6.1	6.9	25.9
19	7.2	8.2	25.4
21	7.3	8.7	25.5
13	6.9	8.3	24.7
8	6.1	7.9	23.1
5	5.8	7.5	22.6
10	6.2	7.8	22.3
6	7.1	8.3	21.9
6	7.7	8.4	20.6
8	7.9	8.2	20.6
11	7.7	7.7	19.6
12	7.4	7.2	18.9
13	7.5	7.3	18.3
19	8	8.1	19.2
19	8.1	8.5	18.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55490&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55490&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55490&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
vi619242832
m5.86.77.27.78.2
v6.57.9599.310.9
cpi19.621.5522.323.125.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
vi & 6 & 19 & 24 & 28 & 32 \tabularnewline
m & 5.8 & 6.7 & 7.2 & 7.7 & 8.2 \tabularnewline
v & 6.5 & 7.95 & 9 & 9.3 & 10.9 \tabularnewline
cpi & 19.6 & 21.55 & 22.3 & 23.1 & 25.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55490&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]vi[/C][C]6[/C][C]19[/C][C]24[/C][C]28[/C][C]32[/C][/ROW]
[ROW][C]m[/C][C]5.8[/C][C]6.7[/C][C]7.2[/C][C]7.7[/C][C]8.2[/C][/ROW]
[ROW][C]v[/C][C]6.5[/C][C]7.95[/C][C]9[/C][C]9.3[/C][C]10.9[/C][/ROW]
[ROW][C]cpi[/C][C]19.6[/C][C]21.55[/C][C]22.3[/C][C]23.1[/C][C]25.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55490&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55490&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
vi619242832
m5.86.77.27.78.2
v6.57.9599.310.9
cpi19.621.5522.323.125.4







Boxplot Notches
Variablelower boundmedianupper bound
vi22.16420589389772425.8357941061023
m6.996022877099747.27.40397712290026
v8.7246308840846599.27536911591535
cpi21.983835459504622.322.6161645404954

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
vi & 22.1642058938977 & 24 & 25.8357941061023 \tabularnewline
m & 6.99602287709974 & 7.2 & 7.40397712290026 \tabularnewline
v & 8.72463088408465 & 9 & 9.27536911591535 \tabularnewline
cpi & 21.9838354595046 & 22.3 & 22.6161645404954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55490&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]vi[/C][C]22.1642058938977[/C][C]24[/C][C]25.8357941061023[/C][/ROW]
[ROW][C]m[/C][C]6.99602287709974[/C][C]7.2[/C][C]7.40397712290026[/C][/ROW]
[ROW][C]v[/C][C]8.72463088408465[/C][C]9[/C][C]9.27536911591535[/C][/ROW]
[ROW][C]cpi[/C][C]21.9838354595046[/C][C]22.3[/C][C]22.6161645404954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55490&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55490&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
vi22.16420589389772425.8357941061023
m6.996022877099747.27.40397712290026
v8.7246308840846599.27536911591535
cpi21.983835459504622.322.6161645404954



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')