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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationSat, 21 Nov 2015 11:59:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Nov/21/t1448107220ncryt3ac9fbw9a4.htm/, Retrieved Mon, 13 May 2024 21:18:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283758, Retrieved Mon, 13 May 2024 21:18:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2015-11-21 11:59:56] [11e09077693c238f0a6e6f4d2cf77105] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
501 NA
488 NA
504 NA
578 NA
545 NA
632 NA
728 NA
725 NA
585 NA
542 NA
480 NA
530 NA
518 NA
489 NA
528 NA
599 NA
572 NA
659 NA
739 NA
758 NA
602 NA
587 NA
497 NA
558 NA
555 NA
523 NA
532 NA
623 NA
598 NA
683 NA
774 NA
780 NA
609 NA
604 NA
531 NA
592 NA
578 76.83
543 77.74
565 80.47
648 79.56
615 82.28
697 100.92
785 113.2
830 90.92
645 86.83
643 82.74
551 83.65
606 80.92
585 83.19
553 83.65
576 83.65
665 83.65
656 86.83
720 100.47
826 91.38
838 101.38
652 95.92
661 88.19
584 88.19
644 80.47
623 80.92
553 79.56
599 80.92
657 88.19
680 91.83
759 96.38
878 97.29
881 102.29
705 99.1
684 92.74
577 87.29
656 85.47
645 91.38
593 92.74
617 89.56
686 88.65
679 93.2
773 99.56
906 109.11
934 124.56
713 115.47
710 96.38
600 92.29
676 86.83
645 87.29
602 85.92
601 85.92
709 88.65
706 91.83
817 112.29
930 101.83
983 125.02
745 102.74
735 95.01
620 91.83
698 86.38
665 87.29
626 88.19
649 89.1
740 89.1
729 103.65
824 127.75
937 125.47
994 125.47
781 109.11
759 100.01
643 95.01
728 85.01
691 86.83
649 86.83
656 86.83
735 86.83
748 100.47
837 111.38
995 105.47
1040 102.74
809 105.01
793 96.38
692 94.1
763 86.83
723 92.74
655 93.2
658 95.47
761 96.38
768 99.56
885 120.47
1067 123.2
1038 114.11
812 120.93
790 102.74
692 101.83
782 95.47
758 100.01
709 100.01
715 98.2
788 100.01
794 103.65
893 114.56
1046 134.11
1075 131.84
812 113.65
822 107.29
714 102.29
802 94.56
748 97.29
731 98.2
748 95.47
827 100.47
788 116.38
937 117.29
1076 140.93
1125 120.02
840 111.38
864 108.65
717 105.92
813 99.1
811 101.83
732 102.74
745 102.74
844 105.47
833 108.65
935 139.57
1110 110.47
1124 118.65
868 120.02
860 109.11
762 108.2
877 101.38
NA 106.38
NA 108.65
NA 107.74
NA 105.92
NA 129.56
NA 139.11
NA 125.93
NA 123.65
NA 118.65
NA 110.47
NA 110.02
NA 100.47
NA 104.1
NA 106.6
NA 105.5
NA 107.5
NA 117.9
NA 136.3
NA 156.8
NA 135.8
NA 130
NA 117.5
NA 115.8
NA 105.5
NA 111.6
NA 113.2
NA 113.1
NA 112.5
NA 120
NA 147.6
NA 149.9
NA 131.2
NA 134.6
NA 122.2
NA 117.7
NA 106.8
NA 111.5
NA 111.3
NA 109.5
NA 112.1
NA 127
NA 135.9
NA 150.4
NA 135.6
NA 134.9
NA 124.1
NA 120.8
NA 112.8
NA 117.4
NA 118.6
NA 119.2
NA 119.7
NA 128.6
NA 142.8
NA 170
NA 145.9
NA 140.1
NA 128.7
NA 123.4
NA 114.6
NA 120.2
NA 122
NA 121.3
NA 123.2
NA 141.1
NA 129.7
NA 152.4
NA 141.9
NA 137
NA 129
NA 124.6
NA 117.3
NA 122.7
NA 121
NA 122
NA 122
NA 126.3
NA 158.1
NA 164.9
NA 143.3
NA 151.4
NA 136.8
NA 133.1
NA 124.8
NA 132.6
NA 130.2
NA 129.6
NA 129.7
NA 133.7
NA 148.3
NA 155.1
NA 157.2
NA 147.2
NA 142.7
NA 135.9
NA 123.8
NA 132.3
NA 132.7
NA 130.7
NA 129.9
NA 145.5
NA 156.6
NA 161.7
NA 156
NA 146.1
NA 136.8
NA 132.5
NA 129.5
NA 129.5
NA 134.7
NA 136.6
NA 138.4
NA 149.6
NA 159.5
NA 171.4
NA 162.1
NA 163.1
NA 152.4
NA 145.5
NA 133.9
NA 136.6
NA 139.4
NA 141.2
NA 144.9
NA 181.4
NA 187
NA 211.4
NA 178.1
NA 168
NA 154.4
NA 150.4
NA 139.4
NA 144.7
NA 143
NA 148.3
NA 152.7
NA 173.3
NA 226.3
NA 218.2
NA 184.6
NA 174.9
NA 161.4
NA 161.4
NA 145.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283758&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283758&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283758&T=0

As an alternative you can also use a QR Code:  
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 Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
occupied_rooms480612709.5805.51076
water_usage76.8398.65115.635135.25187

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
occupied_rooms & 480 & 612 & 709.5 & 805.5 & 1076 \tabularnewline
water_usage & 76.83 & 98.65 & 115.635 & 135.25 & 187 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283758&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]occupied_rooms[/C][C]480[/C][C]612[/C][C]709.5[/C][C]805.5[/C][C]1076[/C][/ROW]
[ROW][C]water_usage[/C][C]76.83[/C][C]98.65[/C][C]115.635[/C][C]135.25[/C][C]187[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283758&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283758&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
occupied_rooms480612709.5805.51076
water_usage76.8398.65115.635135.25187






Boxplot Notches
Variablelower boundmedianupper bound
occupied_rooms685.912418408045709.5733.087581591955
water_usage112.154163443878115.635119.115836556122

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
occupied_rooms & 685.912418408045 & 709.5 & 733.087581591955 \tabularnewline
water_usage & 112.154163443878 & 115.635 & 119.115836556122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283758&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]occupied_rooms[/C][C]685.912418408045[/C][C]709.5[/C][C]733.087581591955[/C][/ROW]
[ROW][C]water_usage[/C][C]112.154163443878[/C][C]115.635[/C][C]119.115836556122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283758&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283758&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
occupied_rooms685.912418408045709.5733.087581591955
water_usage112.154163443878115.635119.115836556122


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')