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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 computationWed, 10 Dec 2014 14:26:22 +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/10/t1418221762bmr52hgmsbigmr0.htm/, Retrieved Sun, 19 May 2024 14:55:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265267, Retrieved Sun, 19 May 2024 14:55:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [] [2010-11-02 14:42:14] [b98453cac15ba1066b407e146608df68]
- RMP   [Two-Way ANOVA] [] [2014-10-21 08:34:19] [32b17a345b130fdf5cc88718ed94a974]
-  MP     [Two-Way ANOVA] [] [2014-10-29 15:37:12] [3cc57788b191749bdc089f5fad42e0f8]
- RMPD        [Notched Boxplots] [] [2014-12-10 14:26:22] [afff6d6b458ee8576605d3685f592a9b] [Current]
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Dataseries X:
NA 72
115 NA
NA 86
134 NA
93 NA
108 NA
NA 117
84 NA
164 NA
105 NA
109 NA
131 NA
122 NA
NA 127
NA 139
NA 123
105 NA
NA 122
111 NA
NA 149
132 NA
124 NA
NA 124
125 NA
122 NA
119 NA
118 NA
NA 102
127 NA
NA 125
NA 92
NA 102
123 NA
107 NA
114 NA
110 NA
NA 120
111 NA
112 NA
NA 119
87 NA
103 NA
114 NA
107 NA
88 NA
NA 131
101 NA
126 NA
NA 139
106 NA
127 NA
105 NA
99 NA
136 NA
121 NA
123 NA
NA 109
108 NA
NA 104
107 NA
121 NA
NA 121
NA 101
99 NA
NA 103
97 NA
NA 131
115 NA
107 NA
NA 97
NA 101
NA 111
NA 106
118 NA
NA 111
106 NA
NA 102
92 NA
NA 128
NA 98
120 NA
NA 111
NA 124
NA 117
124 NA
NA 89
115 NA
122 NA
NA 137
NA 117
NA 123
106 NA
88 NA
131 NA
NA 83
103 NA
NA 134
115 NA
116 NA
102 NA
134 NA
122 NA
NA 138
89 NA
129 NA
115 NA
NA 107
NA 104
NA 119
NA 121
NA 114
NA 128
123 NA
97 NA
68 NA
105 NA
120 NA
NA 105
94 NA
101 NA
NA 118
119 NA
NA 113
NA 84
139 NA
112 NA
118 NA
94 NA
115 NA
139 NA
107 NA
97 NA
NA 121
118 NA
129 NA
90 NA
124 NA
104 NA
121 NA
NA 124
104 NA
66 NA
113 NA
134 NA
122 NA
NA 119
NA 82
121 NA
NA 108
NA 105
98 NA
NA 133
111 NA
111 NA
NA 84
124 NA
120 NA
129 NA
NA 121
NA 116
NA 102
NA 103
123 NA
NA 97
116 NA
NA 90
98 NA
NA 119
116 NA
NA 123
NA 118
151 NA
NA 103
119 NA
106 NA
108 NA
121 NA
94 NA
NA 83
106 NA
NA 106
NA 99
NA 92
115 NA
NA 126
82 NA
NA 110
NA 116
NA 124
NA 120
119 NA
104 NA
135 NA
113 NA
NA 123
NA 89
82 NA
NA 116
NA 101
NA 107
NA 126
38 NA
109 NA
NA 122
NA 110
125 NA
NA 108
122 NA
74 NA
NA 114
118 NA
114 NA
123 NA
NA 130
NA 129
NA 127
92 NA
90 NA
125 NA
108 NA
NA 112
NA 132
NA 130
107 NA
112 NA
NA 115
NA 93
NA 118
128 NA
132 NA
NA 113
NA 125
NA 108
143 NA
119 NA
117 NA
113 NA
NA 121
127 NA
59 NA
129 NA
NA 136
NA 130
117 NA
NA 89
99 NA
131 NA
NA 96
87 NA
NA 126
126 NA
124 NA
NA 115
110 NA
NA 63
90 NA
NA 121
126 NA
NA 140
NA 116
92 NA
87 NA
NA 124
81 NA
116 NA
NA 113
101 NA
NA 83
NA 152
129 NA
127 NA
NA 129
118 NA
NA 120
NA 123
121 NA
NA 94
NA 120
95 NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265267&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265267&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265267&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Motivatie_mannen81103.5115123151
Motivatie_vrouwen72103116124152

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Motivatie_mannen & 81 & 103.5 & 115 & 123 & 151 \tabularnewline
Motivatie_vrouwen & 72 & 103 & 116 & 124 & 152 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265267&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]Motivatie_mannen[/C][C]81[/C][C]103.5[/C][C]115[/C][C]123[/C][C]151[/C][/ROW]
[ROW][C]Motivatie_vrouwen[/C][C]72[/C][C]103[/C][C]116[/C][C]124[/C][C]152[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265267&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265267&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
Motivatie_mannen81103.5115123151
Motivatie_vrouwen72103116124152







Boxplot Notches
Variablelower boundmedianupper bound
Motivatie_mannen112.556608064402115117.443391935598
Motivatie_vrouwen112.971094256996116119.028905743004

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Motivatie_mannen & 112.556608064402 & 115 & 117.443391935598 \tabularnewline
Motivatie_vrouwen & 112.971094256996 & 116 & 119.028905743004 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265267&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]Motivatie_mannen[/C][C]112.556608064402[/C][C]115[/C][C]117.443391935598[/C][/ROW]
[ROW][C]Motivatie_vrouwen[/C][C]112.971094256996[/C][C]116[/C][C]119.028905743004[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265267&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265267&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
Motivatie_mannen112.556608064402115117.443391935598
Motivatie_vrouwen112.971094256996116119.028905743004



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
par1 <- 'grey'
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')