Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 18 Dec 2009 06:15:32 -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/Dec/18/t12611425112ck7q1frtxad5do.htm/, Retrieved Sat, 27 Apr 2024 06:39:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69313, Retrieved Sat, 27 Apr 2024 06:39:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Notched Boxplot ] [2009-12-18 13:15:32] [3213ed9efdb724e3c847d204cd8135dd] [Current]
Feedback Forum

Post a new message
Dataseries X:
100.0	114.1	141.7	100.0
93.5	110.3	153.4	117.8
88.2	103.9	145	95.7
89.2	101.6	137.7	100.5
91.4	94.6	148.3	105.1
92.5	95.9	152.2	116.2
91.4	104.7	169.4	125.3
88.2	102.8	168.6	130.2
87.1	98.1	161.1	137.1
84.9	113.9	174.1	136.3
92.5	80.9	179	107.8
93.5	95.7	190.6	118.1
93.5	113.2	190	119.5
91.4	105.9	181.6	124.1
90.3	108.8	174.8	114.0
91.4	102.3	180.5	132.2
93.5	99	196.8	160.0
93.5	100.7	193.8	124.6
92.5	115.5	197	138.7
91.4	100.7	216.3	105.1
89.2	109.9	221.4	132.3
86.0	114.6	217.9	118.4
88.2	85.4	229.7	114.2
87.1	100.5	227.4	106.7
87.1	114.8	204.2	110.7
86.0	116.5	196.6	115.3
84.9	112.9	198.8	95.7
84.9	102	207.5	106.0
86.0	106	190.7	109.3
86.0	105.3	201.6	105.9
84.9	118.8	210.5	118.5
86.0	106.1	223.5	107.5
82.8	109.3	223.8	102.4
77.4	117.2	231.2	126.7
80.6	92.5	244	112.0
78.5	104.2	234.7	99.5
75.3	112.5	250.2	88.3
75.3	122.4	265.7	118.0
75.3	113.3	287.6	96.2
77.4	100	283.3	96.0
78.5	110.7	295.4	117.5
76.3	112.8	312.3	113.5
73.1	109.8	333.8	101.9
68.8	117.3	347.7	130.1
65.6	109.1	383.2	96.5
69.9	115.9	407.1	122.2
82.8	96	413.6	106.4
84.9	99.8	362.7	99.8
80.6	116.8	321.9	113.0
74.2	115.7	239.4	99.6
71.0	99.4	191	85.0
74.2	94.3	159.7	96.8
82.8	91	163.4	83.2
86.0	93.2	157.6	81.1
86.0	103.1	166.2	104.4
82.8	94.1	176.7	91.3
78.5	91.8	198.3	85.0
79.6	102.7	226.2	117.5
87.1	82.6	216.2	98.3
89.2	89.1	235.9	112.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69313&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69313&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'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WRKL65.678.58689.75100
IND80.998.55104.45113.05122.4
GRON137.7175.75202.9237.65321.9
BOUW81.199.7110118.45138.7

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WRKL & 65.6 & 78.5 & 86 & 89.75 & 100 \tabularnewline
IND & 80.9 & 98.55 & 104.45 & 113.05 & 122.4 \tabularnewline
GRON & 137.7 & 175.75 & 202.9 & 237.65 & 321.9 \tabularnewline
BOUW & 81.1 & 99.7 & 110 & 118.45 & 138.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69313&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]WRKL[/C][C]65.6[/C][C]78.5[/C][C]86[/C][C]89.75[/C][C]100[/C][/ROW]
[ROW][C]IND[/C][C]80.9[/C][C]98.55[/C][C]104.45[/C][C]113.05[/C][C]122.4[/C][/ROW]
[ROW][C]GRON[/C][C]137.7[/C][C]175.75[/C][C]202.9[/C][C]237.65[/C][C]321.9[/C][/ROW]
[ROW][C]BOUW[/C][C]81.1[/C][C]99.7[/C][C]110[/C][C]118.45[/C][C]138.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69313&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
WRKL65.678.58689.75100
IND80.998.55104.45113.05122.4
GRON137.7175.75202.9237.65321.9
BOUW81.199.7110118.45138.7







Boxplot Notches
Variablelower boundmedianupper bound
WRKL83.70525736737218688.2947426326279
IND101.492331717946104.45107.407668282054
GRON190.273816092474202.9215.526183907526
BOUW106.175428945620110113.824571054380

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WRKL & 83.7052573673721 & 86 & 88.2947426326279 \tabularnewline
IND & 101.492331717946 & 104.45 & 107.407668282054 \tabularnewline
GRON & 190.273816092474 & 202.9 & 215.526183907526 \tabularnewline
BOUW & 106.175428945620 & 110 & 113.824571054380 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69313&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]WRKL[/C][C]83.7052573673721[/C][C]86[/C][C]88.2947426326279[/C][/ROW]
[ROW][C]IND[/C][C]101.492331717946[/C][C]104.45[/C][C]107.407668282054[/C][/ROW]
[ROW][C]GRON[/C][C]190.273816092474[/C][C]202.9[/C][C]215.526183907526[/C][/ROW]
[ROW][C]BOUW[/C][C]106.175428945620[/C][C]110[/C][C]113.824571054380[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69313&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69313&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
WRKL83.70525736737218688.2947426326279
IND101.492331717946104.45107.407668282054
GRON190.273816092474202.9215.526183907526
BOUW106.175428945620110113.824571054380



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')