Free Statistics

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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 computationMon, 04 Oct 2010 18:07:35 +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/2010/Oct/04/t1286215690yurnram3qnr5irh.htm/, Retrieved Sun, 28 Apr 2024 06:23:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=80840, Retrieved Sun, 28 Apr 2024 06:23:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Screen Width and ...] [2010-09-25 10:03:47] [b98453cac15ba1066b407e146608df68]
F    D    [Notched Boxplots] [ws1 task 7] [2010-10-04 18:07:35] [67e3c2d70de1dbb070b545ca6c893d5e] [Current]
Feedback Forum
2010-10-08 08:13:27 [2367ef1b461dcf270178cda4b96c6ab3] [reply
oefening 7,

ziet er op het eerste zicht oke uit. je hebt enkel de verkeerde schaal gebruikt.
2010-10-08 08:14:07 [Jeroen Detavernier] [reply
ziet er oke uit.

Post a new message
Dataseries X:
 1024    640
1024    641
1024    698
1024    700
1024    735
1024    735
1024    737
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1024    768
1117    768
1120    768
1140    768
1143    768
1152    768
1152    768
1176    768
1176    768
1257    768
1280    768
1280    768
1280    768
1280    768
1280    768
1280    768
1280    768
1280    768
1280    768
1280    785
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    800
1280    845
1280    857
1280    864
1280    864
1366    880
1366    880
1366    900
1366    900
1366    900
1366    900
1366    900
1366    900
1408    900
1408    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    900
1440    949
1440    990
1440    1024
1440    1024
1503    1024
1600    1024
1600    1024
1600    1024
1600    1024
1600    1024
1680    1024
1680    1024
1680    1050
1680    1050
1688    1050
1760    1050
           1080




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=80840&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=80840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80840&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'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Width11171280128014081600
Height6407688009001050

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Width & 1117 & 1280 & 1280 & 1408 & 1600 \tabularnewline
Height & 640 & 768 & 800 & 900 & 1050 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80840&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]Width[/C][C]1117[/C][C]1280[/C][C]1280[/C][C]1408[/C][C]1600[/C][/ROW]
[ROW][C]Height[/C][C]640[/C][C]768[/C][C]800[/C][C]900[/C][C]1050[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80840&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
Width11171280128014081600
Height6407688009001050







Boxplot Notches
Variablelower boundmedianupper bound
Width1262.5939521791812801297.40604782082
Height782.050013184777800817.949986815223

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Width & 1262.59395217918 & 1280 & 1297.40604782082 \tabularnewline
Height & 782.050013184777 & 800 & 817.949986815223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=80840&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]Width[/C][C]1262.59395217918[/C][C]1280[/C][C]1297.40604782082[/C][/ROW]
[ROW][C]Height[/C][C]782.050013184777[/C][C]800[/C][C]817.949986815223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=80840&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=80840&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
Width1262.5939521791812801297.40604782082
Height782.050013184777800817.949986815223



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()
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')