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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 11 Dec 2012 05:42:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/11/t1355222555kpl7qfhx5abnf2l.htm/, Retrieved Sat, 27 Apr 2024 05:09:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198402, Retrieved Sat, 27 Apr 2024 05:09:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
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 14:01:51] [21324e9cdf3569788a3d630236984d87]
- R  D    [Notched Boxplots] [1.1 ] [2012-12-11 10:42:04] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
112.9	145.9	105.2	131.9
101.7	118.8	85.4	108.2
87.7	105.9	84.4	94
102.7	134.9	98.8	109.8
102.6	111.6	87.3	105.3
107.2	120.7	99.4	107.7
113.5	119.2	93.4	120.5
92.1	100.3	79	73.7
85.1	96.8	78.6	57.2
117.5	132.6	97.3	105.7
95.1	109.4	77.5	86.2
102.7	106.9	81.1	86
109.2	121.3	96	103
87.2	105.4	78.6	78.1
80.8	91.3	71.9	71.1
91.7	125.5	88.7	85.5
103.6	118.5	81	81.5
114.3	113.2	86.3	95.3
112	112.8	95.5	98.2
83.9	83.6	69.7	61.4
90	92.9	65.3	63.6
109.3	126.6	87.2	95.1
96	104	71.5	62.8
102.1	116.4	73.6	79.6
104.4	133.3	86.3	89.1
107.7	116	66.4	83.2
102.1	117	66.5	71.7
114.1	150.5	81.8	84.1
127.3	128.3	81.1	93.4
149.4	160.2	99	127.7
152	152.8	109	128
119.6	120.9	81.6	87
117.2	144.7	84.7	100
149	165.7	100.6	129.2
132.3	154.8	93.9	117.6
149.2	167.3	99.5	129.1
134.9	163.4	100.3	120.7
139.3	153.4	95.4	119.1
125.8	142.6	90	117.9
122.7	158	89.3	114.8
137.1	154.6	101.1	128.2
156.6	154.4	110.2	134.9
140.4	152.6	96.4	128.8
119	121	81.7	92.2
105	143.3	80	97.7
151.1	166.5	101.6	142
133.2	146	90.4	113.9
126.1	139.8	87.8	108.5
137.9	161.3	97.4	132.9
120.4	132.4	83.5	115
120.5	137.4	89.5	119.7
121.3	151	99	103.7
133.3	135	98.5	134.4
135.9	137.7	101.4	132.9
128.9	128.4	101.6	132.7
104.4	107.1	78.6	88.6
89	112.4	73.1	81.3
131.5	147.3	106.3	134.1
121.3	134.2	93.4	126.7
107.6	120.7	88.2	99




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198402&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198402&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198402&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
ProMet80.8102.65114.2131.9156.6
MaApWe83.6114.6130.4148.9167.3
ElElAp65.381.0588.4598.65110.2
Transp57.286.1104.5123.7142

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
ProMet & 80.8 & 102.65 & 114.2 & 131.9 & 156.6 \tabularnewline
MaApWe & 83.6 & 114.6 & 130.4 & 148.9 & 167.3 \tabularnewline
ElElAp & 65.3 & 81.05 & 88.45 & 98.65 & 110.2 \tabularnewline
Transp & 57.2 & 86.1 & 104.5 & 123.7 & 142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198402&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]ProMet[/C][C]80.8[/C][C]102.65[/C][C]114.2[/C][C]131.9[/C][C]156.6[/C][/ROW]
[ROW][C]MaApWe[/C][C]83.6[/C][C]114.6[/C][C]130.4[/C][C]148.9[/C][C]167.3[/C][/ROW]
[ROW][C]ElElAp[/C][C]65.3[/C][C]81.05[/C][C]88.45[/C][C]98.65[/C][C]110.2[/C][/ROW]
[ROW][C]Transp[/C][C]57.2[/C][C]86.1[/C][C]104.5[/C][C]123.7[/C][C]142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198402&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198402&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
ProMet80.8102.65114.2131.9156.6
MaApWe83.6114.6130.4148.9167.3
ElElAp65.381.0588.4598.65110.2
Transp57.286.1104.5123.7142







Boxplot Notches
Variablelower boundmedianupper bound
ProMet108.233669155167114.2120.166330844833
MaApWe123.403584684521130.4137.396415315479
ElElAp84.860002636955588.4592.0399973630445
Transp96.8304601789503104.5112.16953982105

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
ProMet & 108.233669155167 & 114.2 & 120.166330844833 \tabularnewline
MaApWe & 123.403584684521 & 130.4 & 137.396415315479 \tabularnewline
ElElAp & 84.8600026369555 & 88.45 & 92.0399973630445 \tabularnewline
Transp & 96.8304601789503 & 104.5 & 112.16953982105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198402&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]ProMet[/C][C]108.233669155167[/C][C]114.2[/C][C]120.166330844833[/C][/ROW]
[ROW][C]MaApWe[/C][C]123.403584684521[/C][C]130.4[/C][C]137.396415315479[/C][/ROW]
[ROW][C]ElElAp[/C][C]84.8600026369555[/C][C]88.45[/C][C]92.0399973630445[/C][/ROW]
[ROW][C]Transp[/C][C]96.8304601789503[/C][C]104.5[/C][C]112.16953982105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198402&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198402&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
ProMet108.233669155167114.2120.166330844833
MaApWe123.403584684521130.4137.396415315479
ElElAp84.860002636955588.4592.0399973630445
Transp96.8304601789503104.5112.16953982105



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')