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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationThu, 17 Aug 2017 03:08:08 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Aug/17/t1502932111ii1em0174qrp064.htm/, Retrieved Fri, 10 May 2024 02:30:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307535, Retrieved Fri, 10 May 2024 02:30:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [Reeks B stap 5] [2017-08-17 01:08:08] [5e513ceaaef205c0c6f269c0b513af8d] [Current]
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Dataseries X:
1 755 000
1 690 000
1 787 500
1 430 000
1 852 500
1 820 000
1 950 000
2 015 000
2 242 500
1 950 000
1 852 500
2 307 500
1 950 000
1 462 500
1 722 500
1 300 000
1 820 000
1 495 000
1 982 500
1 787 500
1 885 000
2 112 500
2 080 000
2 470 000
1 787 500
1 495 000
1 657 500
1 202 500
1 722 500
1 332 500
1 885 000
1 787 500
1 592 500
2 275 000
2 047 500
2 340 000
1 755 000
1 625 000
1 462 500
1 202 500
1 592 500
1 430 000
1 950 000
1 885 000
1 625 000
2 177 500
2 015 000
2 600 000
2 080 000
1 267 500
1 267 500
1 267 500
1 495 000
1 495 000
2 015 000
1 852 500
1 657 500
2 080 000
1 917 500
2 762 500
2 177 500
1 267 500
1 332 500
1 105 000
1 527 500
1 755 000
2 210 000
2 177 500
1 755 000
2 047 500
1 820 000
2 600 000
1 982 500
1 592 500
1 430 000
1 072 500
1 592 500
1 917 500
2 242 500
2 112 500
1 560 000
2 242 500
1 755 000
2 697 500
2 242 500
1 625 000
1 495 000
1 007 500
1 592 500
1 527 500
2 307 500
2 307 500
1 755 000
2 275 000
1 690 000
2 632 500
2 242 500
1 657 500
1 267 500
877 500
1 722 500
1 657 500
2 177 500
2 502 500
1 852 500
2 080 000
1 560 000
2 697 500





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
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=307535&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] [ROW]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307535&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307535&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
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
V111122
V20267500755982
V300251500500

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
V1 & 1 & 1 & 1 & 2 & 2 \tabularnewline
V2 & 0 & 267 & 500 & 755 & 982 \tabularnewline
V3 & 0 & 0 & 251 & 500 & 500 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307535&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]V1[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][/ROW]
[ROW][C]V2[/C][C]0[/C][C]267[/C][C]500[/C][C]755[/C][C]982[/C][/ROW]
[ROW][C]V3[/C][C]0[/C][C]0[/C][C]251[/C][C]500[/C][C]500[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307535&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307535&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
V111122
V20267500755982
V300251500500







Boxplot Notches
Variablelower boundmedianupper bound
V10.84796442911339911.1520355708866
V2425.806641407338500574.193358592662
V3174.982214556699251327.017785443301

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
V1 & 0.847964429113399 & 1 & 1.1520355708866 \tabularnewline
V2 & 425.806641407338 & 500 & 574.193358592662 \tabularnewline
V3 & 174.982214556699 & 251 & 327.017785443301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307535&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]V1[/C][C]0.847964429113399[/C][C]1[/C][C]1.1520355708866[/C][/ROW]
[ROW][C]V2[/C][C]425.806641407338[/C][C]500[/C][C]574.193358592662[/C][/ROW]
[ROW][C]V3[/C][C]174.982214556699[/C][C]251[/C][C]327.017785443301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307535&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307535&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
V10.84796442911339911.1520355708866
V2425.806641407338500574.193358592662
V3174.982214556699251327.017785443301



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')