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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 computationThu, 12 Nov 2009 07:00:34 -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/t1258036424sy9aut3j5ly3kdh.htm/, Retrieved Fri, 03 May 2024 19:10:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56040, Retrieved Fri, 03 May 2024 19:10:26 +0000
QR Codes:

Original text written by user:Uitleg in word document.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Box-Plot] [2009-11-12 14:00:34] [8eb8270f5a1cfdf0409dcfcbf10be18b] [Current]
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Dataseries X:
89.1  96.96 	98.13
83.3  93.11 	98.29
97.7  95.62	        99.1
100.9	98.30	        99.26
108.3	96.38	        98.85
113.2	100.82	98.05
105	99.06	        98.53
104	94.03	        99.34
109.8	102.07	100.14
98.6	99.31	        100.3
93.5	98.64	        100.22
98.2	101.82	99.9
88	99.14	        99.58
85.3	97.63	        99.9
96.8	100.06	100.78
98.8	101.32	100.78
110.3	101.49	100.46
111.6	105.43	100.06
111.2	105.09	100.28
106.9	99.48	        100.78
117.6	108.53	101.58
97	104.34	102.06
97.3	106.10	102.02
98.4	107.35	101.68
87.6	103.00	101.32
87.4	104.50	101.81
94.7	105.17	102.3
101.5	104.84	102.12
110.4	106.18	102.1
108.4	108.86	101.75
109.7	107.77	101.5
105.2	102.74	102.16
111.1	112.63	103.47
96.2	106.26	104.05
97.3	108.86	104.09
98.9	111.38	103.55
91.7	106.85	102.77
90.9	107.86	102.89
98.8	107.94	103.6
111.5	111.38	103.76
119	111.29	103.92
115.3	113.72	103.35
116.3	111.88	103.32
113.6	109.87	104.2
115.1	113.72	105.44
109.7	111.71	105.81
97.6	114.81	106.25
100.8	112.05	105.94
94	111.54	105.82
87.2	110.87	105.96
102.9	110.87	106.49
111.3	115.48	106.32
106.6	111.63	105.88
108.9	116.24	105.07
108.3	113.56	105.12
100.5	106.01	106.15
104	110.45	107.38
89.9	107.77	107.75
86.8	108.61	107.87
91.2	108.19	107.39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56040&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56040&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56040&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Ind83.395.45100.85109.75119
Best93.11101.405106.555111.08116.24
HICP98.05100.29102.14105.095107.87

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Ind & 83.3 & 95.45 & 100.85 & 109.75 & 119 \tabularnewline
Best & 93.11 & 101.405 & 106.555 & 111.08 & 116.24 \tabularnewline
HICP & 98.05 & 100.29 & 102.14 & 105.095 & 107.87 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56040&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]Ind[/C][C]83.3[/C][C]95.45[/C][C]100.85[/C][C]109.75[/C][C]119[/C][/ROW]
[ROW][C]Best[/C][C]93.11[/C][C]101.405[/C][C]106.555[/C][C]111.08[/C][C]116.24[/C][/ROW]
[ROW][C]HICP[/C][C]98.05[/C][C]100.29[/C][C]102.14[/C][C]105.095[/C][C]107.87[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56040&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56040&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
Ind83.395.45100.85109.75119
Best93.11101.405106.555111.08116.24
HICP98.05100.29102.14105.095107.87







Boxplot Notches
Variablelower boundmedianupper bound
Ind97.9331271425263100.85103.766872857474
Best104.58152133594106.555108.52847866406
HICP101.159889924464102.14103.120110075536

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Ind & 97.9331271425263 & 100.85 & 103.766872857474 \tabularnewline
Best & 104.58152133594 & 106.555 & 108.52847866406 \tabularnewline
HICP & 101.159889924464 & 102.14 & 103.120110075536 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56040&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]Ind[/C][C]97.9331271425263[/C][C]100.85[/C][C]103.766872857474[/C][/ROW]
[ROW][C]Best[/C][C]104.58152133594[/C][C]106.555[/C][C]108.52847866406[/C][/ROW]
[ROW][C]HICP[/C][C]101.159889924464[/C][C]102.14[/C][C]103.120110075536[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56040&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56040&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
Ind97.9331271425263100.85103.766872857474
Best104.58152133594106.555108.52847866406
HICP101.159889924464102.14103.120110075536



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')