## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 02 Mar 2010 07:26:01 -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/2010/Mar/02/t1267540107dzxug81p6esk5pl.htm/, Retrieved Mon, 22 Jul 2024 21:03:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73769, Retrieved Mon, 22 Jul 2024 21:03:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W32
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Boxplot sweetened...] [2010-03-02 14:26:01] [0e5311d1fc10a1511b42f76588fb6510] [Current]
Feedback Forum

Post a new message
Dataseries X:
81.28
69.39
67.63
51.25
103.97
133.83
162.37
172.91
163.01
151.50
111.73
88.58
74.29
63.98
61.18
76.48
107.98
124.97
145.57
140.20
143.84
138.80
104.06
74.70
60.18
55.16
35.62
56.18
85.44
114.08
133.64
67.14
95.58
89.37
75.24
69.18
54.49
57.50
62.16
76.67
110.04
127.38
156.47
167.56
153.54
124.08
100.97
79.17
68.13
61.77
54.31
60.30
84.18
104.05
114.66
105.55
96.61
70.94
63.91
58.61
44.53
49.58
57.39
76.76
104.57
125.41
143.11
136.35
135.15
131.70
96.87
70.63
66.29
63.49
62.97
66.43
101.49
127.69
133.21
158.72
148.61
134.31
100.99
75.16
59.74
52.87
52.07
57.38
79.43
101.40
120.19
134.38
135.97
113.83
84.38
70.28
65.96
56.36
49.57
68.33
90.32
117.06
134.69
131.67
129.25
118.77
88.44
76.79
75.28
73.89
76.24
88.58
105.83
115.84
127.76
131.75
119.63
93.38
75.55
51.79

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73769&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73769&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 Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Boxplot statistics Variable lower whisker lower hinge median upper hinge upper whisker Stock 35.62 66.785 88.975 126.395 172.91

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Stock & 35.62 & 66.785 & 88.975 & 126.395 & 172.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73769&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]Stock[/C][C]35.62[/C][C]66.785[/C][C]88.975[/C][C]126.395[/C][C]172.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73769&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 Variable lower whisker lower hinge median upper hinge upper whisker Stock 35.62 66.785 88.975 126.395 172.91

 Boxplot Notches Variable lower bound median upper bound Stock 80.3772346980741 88.975 97.5727653019258

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Stock & 80.3772346980741 & 88.975 & 97.5727653019258 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73769&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]Stock[/C][C]80.3772346980741[/C][C]88.975[/C][C]97.5727653019258[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73769&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73769&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 Variable lower bound median upper bound Stock 80.3772346980741 88.975 97.5727653019258

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')