## 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 06:50:59 -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/t1267538070nncpxvruqyce9zz.htm/, Retrieved Tue, 28 Nov 2023 22:38:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73763, Retrieved Tue, 28 Nov 2023 22:38:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W32
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [The total generat...] [2010-03-02 13:50:59] [0e6aef37627b8cf9d1bd74110cef2cca] [Current]
Feedback Forum

Post a new message
Dataseries X:
227.86
198.24
194.97
184.88
196.79
205.36
226.72
226.05
202.50
194.79
192.43
219.25
217.47
192.34
196.83
186.07
197.31
215.02
242.67
225.17
206.69
197.75
196.43
213.55
222.75
194.03
201.85
189.50
206.07
225.59
247.91
247.64
213.01
203.01
200.26
220.50
237.90
216.94
214.01
196.00
208.37
232.75
257.46
267.69
220.18
210.61
209.59
232.75
232.75
219.82
226.74
208.04
220.12
235.69
257.05
258.69
227.15
219.91
219.30
259.04
237.29
212.88
226.03
211.07
222.91
249.18
266.38
268.53
238.02
224.69
213.75
237.43
248.46
210.82
221.40
209.00
234.37
248.43
271.98
268.11
233.88
223.43
221.38
233.76
243.97
217.76
224.66
210.84
220.35
236.84
266.15
255.20
234.76
221.29
221.26
244.13
245.78
224.62
234.80
211.37
222.39
249.63
282.29
279.13
236.60
223.62
225.86
246.41
261.70
225.01
231.54
214.82
227.70
263.86
278.15
274.64
237.66
227.97
224.75
242.91
253.08
228.13
233.68
217.38
236.38
256.08
292.83
304.71
245.57
234.41
234.12
258.17
268.66
245.31
247.47
226.25
251.67
268.79
288.94
290.16
250.69
240.80

 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=73763&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=73763&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73763&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 184.88 214.01 226.73 246.41 292.83

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
& 184.88 & 214.01 & 226.73 & 246.41 & 292.83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73763&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][/C][C]184.88[/C][C]214.01[/C][C]226.73[/C][C]246.41[/C][C]292.83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73763&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73763&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 184.88 214.01 226.73 246.41 292.83

 Boxplot Notches Variable lower bound median upper bound 222.434062790608 226.73 231.025937209392

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
& 222.434062790608 & 226.73 & 231.025937209392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73763&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][/C][C]222.434062790608[/C][C]226.73[/C][C]231.025937209392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73763&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73763&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 222.434062790608 226.73 231.025937209392

Parameters (Session):
par1 = grey ;
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()
a<-table.start()
a<-table.row.start(a)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
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])