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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 computationSun, 11 Dec 2016 15:04:40 +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/2016/Dec/11/t1481465129rfp1z06hsdxmzg1.htm/, Retrieved Fri, 01 Nov 2024 03:34:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298788, Retrieved Fri, 01 Nov 2024 03:34:47 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2016-12-11 14:04:40] [6e17bb30248b72d8119c893128a7a697] [Current]
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Dataseries X:
7149.3
7566.6
9954.9
5566.2
4397.4
3970.5
5805.3
7112.1
5622.6
11673.3
13034.4
11737.8
4838.7
6823.2
7767.3
7048.5
5748.6
3444.3
5168.1
4015.8
4089.3
5661.9
10739.4
11097
3806.1
7146.9
10894.2
7432.5
7243.5
5851.2
5562.3
3854.7
4398.3
6478.8
8766
9057.6
6097.5
4467.6
7311.3
6724.2
6065.1
5462.4
4256.1
3728.4
6192.9
8603.1
11808
7562.7
4309.5
5360.4
8452.5
5682
7342.8
5065.5
3253.5
4106.7
3375.3
10135.2
12551.4
6875.7
3291.6
5217
6253.8
5981.1
4576.5
4453.5
3896.7
4905
3596.4
7035.9
11962.8
8205.9
5713.2
5465.7
5896.2
4408.8
3602.7
3926.7
2018.1
2497.2
5327.1
9250.8
13317
10486.8
4709.7
6599.1
6536.7
7362
2150.1
1936.5
2772.3
5329.8
5593.2
6538.8
11617.8
12151.5
2936.7
4336.8
6644.1
6252.3
3869.7
3050.7
2227.8
3222.9
3013.2
4480.5
9028.2
14435.1
8109.9
3454.8
5867.7
5633.4
4391.1
2821.2
2640.9
2130.6
2944.8
3823.2
7311.9
8823.6
9800.7
5129.1
6377.4
7721.1
4753.5
3099.6




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=298788&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=298788&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298788&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
N21311936.54089.35671.95736212151.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
N2131 & 1936.5 & 4089.3 & 5671.95 & 7362 & 12151.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298788&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]N2131[/C][C]1936.5[/C][C]4089.3[/C][C]5671.95[/C][C]7362[/C][C]12151.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298788&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298788&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
N21311936.54089.35671.95736212151.5







Boxplot Notches
Variablelower boundmedianupper bound
N21315211.292643692425671.956132.60735630758

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
N2131 & 5211.29264369242 & 5671.95 & 6132.60735630758 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298788&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]N2131[/C][C]5211.29264369242[/C][C]5671.95[/C][C]6132.60735630758[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298788&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298788&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
N21315211.292643692425671.956132.60735630758



Parameters (Session):
par1 = grey ; par2 = no ;
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')