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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 computationThu, 12 Nov 2009 03:16:06 -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/12/t1258021129roisqvduh5bb0d6.htm/, Retrieved Sat, 04 May 2024 22:46:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55921, Retrieved Sat, 04 May 2024 22:46:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
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]
-   PD    [Notched Boxplots] [] [2009-11-12 10:16:06] [fc845972e0ebdb725d2fb9537c0c51aa] [Current]
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Dataseries X:
91.2	111.4	131.2	125.3
80.8	87.4	97.7	114.3
72.3	96.8	88.8	115.6
99.7	114.1	132.8	127.1
90.1	110.3	113.9	123
83.1	103.9	112.6	122.2
71.9	101.6	104.3	126.4
78.6	94.6	107.5	112.7
87.2	95.9	106	105.8
90.6	104.7	117.3	120.9
80	102.8	123.1	116.3
73.1	98.1	114.3	115.7
85.6	113.9	132	127.9
73.8	80.9	92.3	108.3
70.6	95.7	93.7	121.1
91.8	113.2	121.3	128.6
81.3	105.9	113.6	123.1
85.2	108.8	116.3	127.7
69.6	102.3	98.3	126.6
83.3	99	111.9	118.4
89.8	100.7	109.3	110
99.5	115.5	133.2	129.6
78.9	100.7	118	115.8
83.8	109.9	131.6	125.9
92	114.6	134.1	128.4
80.9	85.4	96.7	114
74.6	100.5	99.8	125.6
97.9	114.8	128.3	128.5
88.3	116.5	134.9	136.6
88.1	112.9	130.7	133.1
66.4	102	107.3	124.6
92.3	106	121.6	123.5
95.6	105.3	120.6	117.2
99.7	118.8	140.5	135.5
78.9	106.1	124.8	124.8
79.4	109.3	129.9	127.8
87.8	117.2	159.4	133.1
80.5	92.5	111	125.7
71.8	104.2	110.1	128.4
89.2	112.5	132.7	131.9
96.4	122.4	135	146.3
83.5	113.3	118.6	140.6
64.3	100	94	129.5
85.9	110.7	117.9	132.4
89.2	112.8	114.7	125.9
81.8	109.8	113.6	126.9
79.5	117.3	130.6	135.8
68.7	109.1	117.1	129.5
76.4	115.9	123.2	130.2
73.6	96	106.1	133.8
57.7	99.8	88.7	123.3
78.3	116.8	115.5	140.7
75.5	115.7	116	145.9
62.4	99.4	96.7	128.5
55.6	94.3	82	135.9
62.9	91	92	120.2
66.7	93.2	89.7	119.2
66.8	103.1	99.1	132.5
59.9	94.1	98.9	130.5
52	91.8	88.6	124.8
61.2	102.7	105.5	136.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55921&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55921&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55921&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
bikl5271.980.588.399.7
biti80.999104.7112.9122.4
bih8299.8114.3124.8159.4
biv108.3121.1126.6130.5140.7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
bikl & 52 & 71.9 & 80.5 & 88.3 & 99.7 \tabularnewline
biti & 80.9 & 99 & 104.7 & 112.9 & 122.4 \tabularnewline
bih & 82 & 99.8 & 114.3 & 124.8 & 159.4 \tabularnewline
biv & 108.3 & 121.1 & 126.6 & 130.5 & 140.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55921&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]bikl[/C][C]52[/C][C]71.9[/C][C]80.5[/C][C]88.3[/C][C]99.7[/C][/ROW]
[ROW][C]biti[/C][C]80.9[/C][C]99[/C][C]104.7[/C][C]112.9[/C][C]122.4[/C][/ROW]
[ROW][C]bih[/C][C]82[/C][C]99.8[/C][C]114.3[/C][C]124.8[/C][C]159.4[/C][/ROW]
[ROW][C]biv[/C][C]108.3[/C][C]121.1[/C][C]126.6[/C][C]130.5[/C][C]140.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55921&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55921&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
bikl5271.980.588.399.7
biti80.999104.7112.9122.4
bih8299.8114.3124.8159.4
biv108.3121.1126.6130.5140.7







Boxplot Notches
Variablelower boundmedianupper bound
bikl77.182308367178880.583.8176916328212
biti101.888054042914104.7107.511945957086
bih109.242543242651114.3119.357456757349
biv124.698396259237126.6128.501603740763

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
bikl & 77.1823083671788 & 80.5 & 83.8176916328212 \tabularnewline
biti & 101.888054042914 & 104.7 & 107.511945957086 \tabularnewline
bih & 109.242543242651 & 114.3 & 119.357456757349 \tabularnewline
biv & 124.698396259237 & 126.6 & 128.501603740763 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55921&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]bikl[/C][C]77.1823083671788[/C][C]80.5[/C][C]83.8176916328212[/C][/ROW]
[ROW][C]biti[/C][C]101.888054042914[/C][C]104.7[/C][C]107.511945957086[/C][/ROW]
[ROW][C]bih[/C][C]109.242543242651[/C][C]114.3[/C][C]119.357456757349[/C][/ROW]
[ROW][C]biv[/C][C]124.698396259237[/C][C]126.6[/C][C]128.501603740763[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55921&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55921&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
bikl77.182308367178880.583.8176916328212
biti101.888054042914104.7107.511945957086
bih109.242543242651114.3119.357456757349
biv124.698396259237126.6128.501603740763



Parameters (Session):
par1 = grijs ;
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')