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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 08:22:34 -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/t1258039613b6u0lby9x18bgx1.htm/, Retrieved Sat, 04 May 2024 02:43:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56132, Retrieved Sat, 04 May 2024 02:43:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplots ...] [2009-11-12 15:22:34] [208e60166df5802f3c494097313a670f] [Current]
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Dataseries X:
95.1	93.3	121.8	49
97	97.3	127.6	40.5
112.7	127	129.9	73.7
102.9	111.7	128	52.6
97.4	96.4	123.5	42
111.4	133	124	51
87.4	72.2	127.4	43.8
96.8	95.8	127.6	44.1
114.1	124.1	128.4	57
110.3	127.6	131.4	56.3
103.9	110.7	135.1	69.7
101.6	104.6	134	72.3
94.6	112.7	144.5	55.1
95.9	115.3	147.3	31.8
104.7	139.4	150.9	54
102.8	119	148.7	66.4
98.1	97.4	141.4	40.8
113.9	154	138.9	58
80.9	81.5	139.8	59.7
95.7	88.8	145.6	49.7
113.2	127.7	147.9	94.3
105.9	105.1	148.5	59.4
108.8	114.9	151.1	94.6
102.3	106.4	157.5	94.8
99	104.5	167.5	71.7
100.7	121.6	172.3	71.4
115.5	141.4	173.5	68.6
100.7	99	187.5	52.9
109.9	126.7	205.5	85.9
114.6	134.1	195.1	73.9
85.4	81.3	204.5	52.4
100.5	88.6	204.5	51.6
114.8	132.7	201.7	70.4
116.5	132.9	207	64.1
112.9	134.4	206.6	68.4
102	103.7	210.6	74.9
106	119.7	211.1	70.7
105.3	115	215	43.2
118.8	132.9	223.9	62.1
106.1	108.5	238.2	34.1
109.3	113.9	238.9	33.9
117.2	142	229.6	43
92.5	97.7	232.2	45.6
104.2	92.2	222.1	39.7
112.5	128.8	221.6	36.2
122.4	134.9	227.3	81.1
113.3	128.2	221	55
100	114.8	213.6	102
110.7	117.9	243.4	31.9
112.8	119.1	253.8	37.5
109.8	120.7	265.3	43.6
117.3	129.1	268.2	34
109.1	117.6	268.5	32
115.9	129.2	266.9	52.6
96	100	268.4	36.8
99.8	87	250.8	59.3
116.8	128	231.2	38.8
115.7	127.7	192	52
99.4	93.4	171.4	32.2
94.3	84.1	160	132.2
91	71.7	148.1	25.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56132&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56132&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
IPtot80.999105.3112.9122.4
IPtran71.797.7115128154
IGpci121.8144.5187.5222.1268.5
IVtran25.44252.969.7102

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
IPtot & 80.9 & 99 & 105.3 & 112.9 & 122.4 \tabularnewline
IPtran & 71.7 & 97.7 & 115 & 128 & 154 \tabularnewline
IGpci & 121.8 & 144.5 & 187.5 & 222.1 & 268.5 \tabularnewline
IVtran & 25.4 & 42 & 52.9 & 69.7 & 102 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56132&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]IPtot[/C][C]80.9[/C][C]99[/C][C]105.3[/C][C]112.9[/C][C]122.4[/C][/ROW]
[ROW][C]IPtran[/C][C]71.7[/C][C]97.7[/C][C]115[/C][C]128[/C][C]154[/C][/ROW]
[ROW][C]IGpci[/C][C]121.8[/C][C]144.5[/C][C]187.5[/C][C]222.1[/C][C]268.5[/C][/ROW]
[ROW][C]IVtran[/C][C]25.4[/C][C]42[/C][C]52.9[/C][C]69.7[/C][C]102[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56132&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
IPtot80.999105.3112.9122.4
IPtran71.797.7115128154
IGpci121.8144.5187.5222.1268.5
IVtran25.44252.969.7102







Boxplot Notches
Variablelower boundmedianupper bound
IPtot102.488054042914105.3108.111945957086
IPtran108.870362410093115121.129637589907
IGpci171.801654225187187.5203.198345774813
IVtran47.296337912856952.958.5036620871431

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IPtot & 102.488054042914 & 105.3 & 108.111945957086 \tabularnewline
IPtran & 108.870362410093 & 115 & 121.129637589907 \tabularnewline
IGpci & 171.801654225187 & 187.5 & 203.198345774813 \tabularnewline
IVtran & 47.2963379128569 & 52.9 & 58.5036620871431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56132&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]IPtot[/C][C]102.488054042914[/C][C]105.3[/C][C]108.111945957086[/C][/ROW]
[ROW][C]IPtran[/C][C]108.870362410093[/C][C]115[/C][C]121.129637589907[/C][/ROW]
[ROW][C]IGpci[/C][C]171.801654225187[/C][C]187.5[/C][C]203.198345774813[/C][/ROW]
[ROW][C]IVtran[/C][C]47.2963379128569[/C][C]52.9[/C][C]58.5036620871431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56132&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56132&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
IPtot102.488054042914105.3108.111945957086
IPtran108.870362410093115121.129637589907
IGpci171.801654225187187.5203.198345774813
IVtran47.296337912856952.958.5036620871431



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')