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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 computationThu, 27 Jan 2022 12:51:49 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2022/Jan/27/t1643284570zingfegbcnpz1bn.htm/, Retrieved Tue, 21 May 2024 04:54:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319623, Retrieved Tue, 21 May 2024 04:54:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2022-01-27 11:51:49] [9d22051737ca820f26ab852e727e6980] [Current]
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Dataseries X:
145 NA
130 NA
NA 130
120 NA
NA 120
140 NA
NA 140
120 NA
172 NA
150 NA
140 NA
NA 130
130 NA
110 NA
NA 150
NA 120
NA 120
NA 150
150 NA
NA 140
135 NA
130 NA
140 NA
150 NA
140 NA
NA 160
150 NA
110 NA
NA 140
130 NA
NA 105
120 NA
130 NA
125 NA
125 NA
NA 142
NA 135
150 NA
NA 155
NA 160
NA 140
130 NA
104 NA
NA 130
140 NA
120 NA
140 NA
138 NA
NA 128
NA 138
NA 130
120 NA
130 NA
NA 108
NA 135
134 NA
122 NA
115 NA
118 NA
NA 128
NA 110
108 NA
118 NA
135 NA
140 NA
NA 138
100 NA
NA 130
120 NA
NA 124
120 NA
94 NA
130 NA
140 NA
NA 122
NA 135
125 NA
140 NA
128 NA
105 NA
112 NA
128 NA
NA 102
152 NA
NA 102
NA 115
118 NA
101 NA
NA 110
NA 100
124 NA
132 NA
138 NA
NA 132
NA 112
142 NA
NA 140
108 NA
130 NA
130 NA
148 NA
178 NA
NA 140
120 NA
129 NA
NA 120
160 NA
NA 138
NA 120
NA 110
NA 180
150 NA
NA 140
110 NA
130 NA
NA 120
130 NA
120 NA
NA 105
NA 138
NA 130
138 NA
NA 112
NA 108
NA 94
NA 118
112 NA
NA 152
NA 136
NA 120
NA 160
NA 134
120 NA
110 NA
NA 126
NA 130
NA 120
128 NA
110 NA
128 NA
NA 120
115 NA
NA 120
NA 106
NA 140
156 NA
NA 118
NA 150
120 NA
130 NA
160 NA
NA 112
170 NA
NA 146
NA 138
NA 130
130 NA
122 NA
125 NA
130 NA
120 NA
NA 132
120 NA
138 NA
138 NA
160 NA
120 NA
NA 140
130 NA
140 NA
130 NA
110 NA
120 NA
132 NA
130 NA
110 NA
117 NA
140 NA
120 NA
150 NA
132 NA
NA 150
NA 130
112 NA
150 NA
112 NA
130 NA
124 NA
140 NA
110 NA
NA 130
128 NA
120 NA
145 NA
140 NA
170 NA
150 NA
125 NA
120 NA
110 NA
110 NA
125 NA
150 NA
180 NA
NA 160
128 NA
110 NA
NA 150
120 NA
140 NA
128 NA
120 NA
118 NA
NA 145
125 NA
NA 132
NA 130
130 NA
135 NA
130 NA
NA 150
140 NA
138 NA
NA 200
110 NA
145 NA
120 NA
120 NA
170 NA
125 NA
108 NA
165 NA
160 NA
120 NA
130 NA
140 NA
125 NA
140 NA
125 NA
126 NA
160 NA
NA 174
145 NA
152 NA
132 NA
124 NA
NA 134
160 NA
192 NA
140 NA
140 NA
132 NA
NA 138
100 NA
160 NA
142 NA
128 NA
144 NA
NA 150
120 NA
NA 178
112 NA
123 NA
NA 108
110 NA
112 NA
NA 180
118 NA
122 NA
130 NA
120 NA
134 NA
120 NA
100 NA
110 NA
125 NA
146 NA
124 NA
NA 136
138 NA
136 NA
128 NA
126 NA
152 NA
140 NA
140 NA
134 NA
154 NA
110 NA
NA 128
148 NA
114 NA
NA 170
152 NA
120 NA
140 NA
NA 124
164 NA
NA 140
110 NA
144 NA
130 NA
NA 130




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319623&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319623&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
bloodpressureMale94120130140170
bloodpressureFemale94120131140170

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
bloodpressureMale & 94 & 120 & 130 & 140 & 170 \tabularnewline
bloodpressureFemale & 94 & 120 & 131 & 140 & 170 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319623&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]bloodpressureMale[/C][C]94[/C][C]120[/C][C]130[/C][C]140[/C][C]170[/C][/ROW]
[ROW][C]bloodpressureFemale[/C][C]94[/C][C]120[/C][C]131[/C][C]140[/C][C]170[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319623&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
bloodpressureMale94120130140170
bloodpressureFemale94120131140170







Boxplot Notches
Variablelower boundmedianupper bound
bloodpressureMale127.803648171932130132.196351828068
bloodpressureFemale127.774838505335131134.225161494665

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
bloodpressureMale & 127.803648171932 & 130 & 132.196351828068 \tabularnewline
bloodpressureFemale & 127.774838505335 & 131 & 134.225161494665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319623&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]bloodpressureMale[/C][C]127.803648171932[/C][C]130[/C][C]132.196351828068[/C][/ROW]
[ROW][C]bloodpressureFemale[/C][C]127.774838505335[/C][C]131[/C][C]134.225161494665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319623&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319623&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
bloodpressureMale127.803648171932130132.196351828068
bloodpressureFemale127.774838505335131134.225161494665



Parameters (Session):
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
if(par2=='yes') {
z <- na.omit(as.data.frame(t(y)))
} else {
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,'Boxplot statistics',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower whisker',1,TRUE)
a<-table.element(a,'lower hinge',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper hinge',1,TRUE)
a<-table.element(a,'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')