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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 computationSun, 07 Dec 2014 11:02:45 +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/2014/Dec/07/t14179502332hnrxi7glz2eemz.htm/, Retrieved Sun, 19 May 2024 13:03:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263708, Retrieved Sun, 19 May 2024 13:03:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [motivatie boxplots] [2014-12-07 11:02:45] [4ce2356216df8db4950cd852fec912aa] [Current]
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Dataseries X:
84 153 84 153 28 121
80 79 84 58 23 32
76 83 81 68 19 78
74 68 81 52 18 78
73 76 80 52 17 23
73 123 80 83 17 48
72 160 79 60 16 140
71 65 79 50 16 56
70 99 78 68 16 98
69 56 78 82 15 58
69 118 78 71 15 43
68 40 78 40 15 75
68 105 78 86 15 29
67 108 78 38 14 43
67 78 78 80 14 76
67 57 77 70 14 78
67 50 76 63 12 71
67 32 76 96 12 74
67 30 76 68 12 38
67 78 76 57 12 38
67 67 76 56 11 129
67 52 76 30 11 57
66 136 76 66 11 40
66 118 75 40 11 42
66 90 75 69 11 76
66 56 75 54 10 66
66 40 75 58 10 70
66 58 75 79 10 59
66 80 75 67 10 81
66 79 75 100 10 57
66 52 75 56 10 72
66 60 74 89 10 87
65 55 74 80 10 87
65 62 74 96 10 67
64 81 74 102 10 105
64 89 74 94 10 76
64 102 74 105 9 62
64 70 74 51 9 119
64 38 74 55 9 101
64 74 74 50 9 69
63 137 73 97 9 53
63 101 73 147 9 136
63 71 73 50 9 40
63 51 73 136 9 140
63 94 73 50 9 52
63 61 73 55 9 120
63 43 73 45 9 52
63 105 73 118 9 61
63 63 73 98 9 69
63 46 73 90 9 102
62 57 73 64 8 97
62 93 73 27 8 68
62 71 73 53 8 137
62 91 72 57 8 85
62 94 72 116 8 41
62 76 72 64 8 136
62 48 72 77 8 44
61 120 72 76 8 56
61 103 72 75 8 70
61 107 72 72 8 215
61 76 72 51 8 116
61 36 72 87 8 118
61 116 72 23 8 49
61 19 72 102 8 49
61 76 71 108 8 86
60 79 71 55 8 23
60 30 71 79 8 27
60 215 71 85 8 74
60 163 71 83 7 189
60 60 71 37 7 69
60 52 71 32 7 64
60 102 71 160 7 120
60 76 71 29 7 57
59 50 71 97 7 85
59 37 71 71 7 54
59 147 71 64 7 110
59 97 71 56 7 102
59 30 71 91 7 101
59 55 71 74 7 60
59 26 70 71 7 74
59 100 70 111 7 84
59 50 70 69 7 61
58 147 70 55 7 57
58 79 70 58 7 163
58 64 70 65 7 89
58 126 70 94 7 71
58 101 70 50 7 67
58 56 70 57 7 70
58 50 70 55 7 78
58 46 70 77 7 59
58 72 70 48 7 68
58 87 70 77 7 70
58 58 69 137 7 52
58 86 69 143 6 80
58 38 69 103 6 84
58 91 69 50 6 68
57 70 69 51 6 50
57 116 69 69 6 37
57 189 69 46 6 56
57 58 69 95 6 34
57 40 69 52 6 97
57 56 69 71 6 66
57 76 69 69 6 60
57 80 69 59 6 97
57 74 69 62 6 98
56 71 69 65 6 95
56 84 69 74 6 80
56 69 69 91 6 51
56 69 68 62 6 96
56 65 68 101 6 49
56 59 68 189 6 77
56 60 68 100 6 114
56 62 68 64 6 38
56 69 68 60 6 47
56 109 68 56 5 71
56 76 68 40 5 79
56 95 68 46 5 143
56 49 68 46 5 86
56 49 68 163 5 65
56 53 68 86 5 107
56 100 68 76 5 95
56 27 68 94 5 65
56 53 68 58 5 45
56 51 68 63 5 50
55 50 68 46 5 46
55 57 67 81 5 30
55 23 67 105 5 69
55 46 67 102 5 46
55 48 67 64 5 109
55 86 67 70 5 76
55 71 67 215 5 58
55 64 67 40 5 123
55 40 67 62 5 71
55 77 67 31 5 102
54 71 67 70 5 40
54 55 67 60 5 69
54 74 66 80 5 50
54 55 66 120 5 53
54 178 66 74 5 56
54 29 66 95 5 43
54 40 66 110 5 91
54 49 66 90 5 62
54 31 66 70 5 74
54 48 66 79 5 62
54 55 66 30 5 63
53 111 66 36 5 46
53 63 66 80 5 53
53 86 66 78 5 74
53 70 66 61 5 78
53 83 66 70 5 73
53 80 66 53 5 48
53 51 66 49 5 77
53 43 66 74 5 68
53 102 66 100 4 86
53 73 65 119 4 70
52 119 65 99 4 108
52 97 65 57 4 64
52 68 65 40 4 153
52 44 65 43 4 78
52 64 65 56 4 99
52 34 65 24 4 147
52 145 65 178 4 40
52 24 65 52 4 120
52 77 65 96 4 71
52 66 65 56 4 55
52 75 65 73 4 116
52 98 65 76 4 111
52 114 65 29 4 81
52 78 64 69 4 63
51 62 64 107 4 70
51 66 64 69 4 55
51 70 64 58 4 96
51 85 64 101 4 60
51 136 64 34 4 95
51 58 64 77 4 100
51 74 64 61 4 68
51 57 64 72 4 105
51 39 64 79 4 103
51 72 64 76 4 57
51 140 64 76 4 51
51 87 63 51 4 69
51 94 63 41 4 49
51 50 63 93 4 50
51 96 63 15 4 93
51 77 63 69 4 58
51 62 63 74 4 15
51 74 63 147 4 69
50 100 63 57 4 107
50 41 63 97 4 126
50 45 63 79 4 69
50 120 63 48 4 58
50 75 63 26 4 118
50 57 62 70 4 82
50 78 62 86 4 90
50 120 62 53 4 64
50 75 62 44 4 83
50 96 62 62 4 70
50 64 62 47 4 50
50 58 62 40 4 77
50 70 62 87 4 79
50 47 62 69 4 71
49 80 62 43 4 55
49 85 62 87 4 32
49 70 62 50 4 34
49 77 62 69 4 89
49 67 62 114 4 56
48 95 61 84 4 76
48 69 61 66 4 64
48 45 61 107 4 45
48 42 61 126 4 62
48 87 61 45 4 51
48 69 61 78 4 36
48 23 61 123 4 61
47 96 61 80 4 145
47 51 61 38 4 120
47 50 60 71 4 147
47 86 60 49 4 24
47 79 60 70 4 30
47 72 60 59 4 77
47 121 60 45 4 178
47 48 60 42 4 160
47 140 60 75 4 75
47 68 60 109 4 94
47 56 60 76 4 45
46 95 60 49 4 78
46 70 60 78 4 47
46 47 60 48 4 29
46 97 60 76 4 50
46 52 60 78 4 48
46 50 59 95 4 86
46 59 59 85 4 76
45 15 59 136 4 39
45 110 59 65 4 75
45 90 59 81 4 57
45 29 59 57 4 65
44 53 59 48 4 40
44 84 59 39 4 80
44 57 59 57 4 46
44 98 59 65 4 93
44 68 59 58 4 19
43 64 59 19 4 80
43 129 59 43 4 79
43 120 59 68 4 69
43 143 58 120 4 79
43 49 58 93 4 94
43 107 58 49 4 72
43 93 58 120 4 50
43 69 58 69 4 30
43 62 58 30 4 52
43 71 58 140 4 87
42 102 57 145 4 72
42 34 57 72 4 79
42 78 57 102 4 43
41 54 57 71 4 58
41 58 57 47 4 57
41 89 56 118 4 69
41 76 56 61 4 64
41 56 56 23 4 90
40 81 56 32 4 102
40 80 55 120 4 40
39 60 55 86 4 100
39 69 55 52 4 62
38 65 55 78 4 55
38 52 55 68 4 96
38 38 54 71 4 86
37 71 54 64 4 26
37 69 53 50 4 94
37 82 53 67 4 52
37 61 53 98 4 64
37 78 52 129 4 31
36 45 52 60 4 64
35 68 52 76 4 65
35 43 51 34 4 58
34 64 51 116 4 76
34 40 51 45 4 48
33 45 50 86 4 80
33 32 50 43 4 71
32 43 50 62 4 100
31 64 49 78 4 51
30 57 48 89 4 55
29 69 48 140 4 45
29 65 48 38 4 83
26 86 47 84 4 60
26 46 47 75 4 50
25 69 42 78 4 56
22 78 32 64 4 91
16 61 19 121 4 76




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=263708&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=263708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263708&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
AMS.I2947546076
UrenI15536987137
AMS.E4760.5667184
UrenE15536987137
AMS.A445711
UrenA15536987137

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
AMS.I & 29 & 47 & 54 & 60 & 76 \tabularnewline
UrenI & 15 & 53 & 69 & 87 & 137 \tabularnewline
AMS.E & 47 & 60.5 & 66 & 71 & 84 \tabularnewline
UrenE & 15 & 53 & 69 & 87 & 137 \tabularnewline
AMS.A & 4 & 4 & 5 & 7 & 11 \tabularnewline
UrenA & 15 & 53 & 69 & 87 & 137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263708&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]AMS.I[/C][C]29[/C][C]47[/C][C]54[/C][C]60[/C][C]76[/C][/ROW]
[ROW][C]UrenI[/C][C]15[/C][C]53[/C][C]69[/C][C]87[/C][C]137[/C][/ROW]
[ROW][C]AMS.E[/C][C]47[/C][C]60.5[/C][C]66[/C][C]71[/C][C]84[/C][/ROW]
[ROW][C]UrenE[/C][C]15[/C][C]53[/C][C]69[/C][C]87[/C][C]137[/C][/ROW]
[ROW][C]AMS.A[/C][C]4[/C][C]4[/C][C]5[/C][C]7[/C][C]11[/C][/ROW]
[ROW][C]UrenA[/C][C]15[/C][C]53[/C][C]69[/C][C]87[/C][C]137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263708&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
AMS.I2947546076
UrenI15536987137
AMS.E4760.5667184
UrenE15536987137
AMS.A445711
UrenA15536987137







Boxplot Notches
Variablelower boundmedianupper bound
AMS.I52.78756213564865455.2124378643514
UrenI65.82900866246576972.1709913375343
AMS.E65.02072326340856666.9792767365915
UrenE65.82900866246576972.1709913375343
AMS.A4.7202066466881555.27979335331185
UrenA65.82900866246576972.1709913375343

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
AMS.I & 52.7875621356486 & 54 & 55.2124378643514 \tabularnewline
UrenI & 65.8290086624657 & 69 & 72.1709913375343 \tabularnewline
AMS.E & 65.0207232634085 & 66 & 66.9792767365915 \tabularnewline
UrenE & 65.8290086624657 & 69 & 72.1709913375343 \tabularnewline
AMS.A & 4.72020664668815 & 5 & 5.27979335331185 \tabularnewline
UrenA & 65.8290086624657 & 69 & 72.1709913375343 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263708&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]AMS.I[/C][C]52.7875621356486[/C][C]54[/C][C]55.2124378643514[/C][/ROW]
[ROW][C]UrenI[/C][C]65.8290086624657[/C][C]69[/C][C]72.1709913375343[/C][/ROW]
[ROW][C]AMS.E[/C][C]65.0207232634085[/C][C]66[/C][C]66.9792767365915[/C][/ROW]
[ROW][C]UrenE[/C][C]65.8290086624657[/C][C]69[/C][C]72.1709913375343[/C][/ROW]
[ROW][C]AMS.A[/C][C]4.72020664668815[/C][C]5[/C][C]5.27979335331185[/C][/ROW]
[ROW][C]UrenA[/C][C]65.8290086624657[/C][C]69[/C][C]72.1709913375343[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263708&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263708&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
AMS.I52.78756213564865455.2124378643514
UrenI65.82900866246576972.1709913375343
AMS.E65.02072326340856666.9792767365915
UrenE65.82900866246576972.1709913375343
AMS.A4.7202066466881555.27979335331185
UrenA65.82900866246576972.1709913375343



Parameters (Session):
par1 = red ;
Parameters (R input):
par1 = red ;
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')