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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Mon, 10 Nov 2008 06:05:18 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/10/t1226322378ryvdfld3tlche6a.htm/, Retrieved Sun, 19 May 2024 09:25:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23021, Retrieved Sun, 19 May 2024 09:25:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

236

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-07 10:38:01] [e5d91604aae608e98a8ea24759233f66]
F RMPD  [Trivariate Scatterplots] [Various EDA topic...] [2008-11-07 10:42:57] [e5d91604aae608e98a8ea24759233f66]
F RMPD    [Box-Cox Linearity Plot] [Various EDA topic...] [2008-11-07 11:06:19] [e5d91604aae608e98a8ea24759233f66]
F RM D      [Box-Cox Normality Plot] [Various EDA topic...] [2008-11-10 11:55:49] [e5d91604aae608e98a8ea24759233f66]
- RMPD        [Testing Variance - Critical Value (Region)] [Various types of ...] [2008-11-10 12:36:06] [e5d91604aae608e98a8ea24759233f66]
- RMPD            [Notched Boxplots] [Various types of ...] [2008-11-10 13:05:18] [55ca0ca4a201c9689dcf5fae352c92eb] [Current]

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Dataseries X:

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Histogram

Boxplots

109.20	96.40	90.00	99.60	91.00
88.60	91.10	88.00	84.20	80.10
94.30	84.40	76.10	75.10	73.60
98.30	86.40	82.50	92.00	86.40
86.40	88.00	81.40	80.80	74.50
80.60	75.10	66.50	73.10	71.20
104.10	109.70	97.20	99.80	92.40
108.20	103.00	94.10	90.00	81.50
93.40	82.10	80.70	83.10	85.30
71.90	68.00	70.50	72.40	69.90
94.10	96.40	87.80	78.80	84.20
94.90	94.30	89.50	87.30	90.70

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23021&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23021&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	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
Y1	71.9	87.5	94.2	101.2	109.2
Y2	68	83.25	89.55	96.4	109.7
Y3	66.5	78.4	85.15	89.75	97.2
Y4	72.4	76.95	83.65	91	99.8
Y5	69.9	74.05	82.85	88.55	92.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Y1 & 71.9 & 87.5 & 94.2 & 101.2 & 109.2 \tabularnewline
Y2 & 68 & 83.25 & 89.55 & 96.4 & 109.7 \tabularnewline
Y3 & 66.5 & 78.4 & 85.15 & 89.75 & 97.2 \tabularnewline
Y4 & 72.4 & 76.95 & 83.65 & 91 & 99.8 \tabularnewline
Y5 & 69.9 & 74.05 & 82.85 & 88.55 & 92.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23021&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]Y1[/C][C]71.9[/C][C]87.5[/C][C]94.2[/C][C]101.2[/C][C]109.2[/C][/ROW]
[ROW][C]Y2[/C][C]68[/C][C]83.25[/C][C]89.55[/C][C]96.4[/C][C]109.7[/C][/ROW]
[ROW][C]Y3[/C][C]66.5[/C][C]78.4[/C][C]85.15[/C][C]89.75[/C][C]97.2[/C][/ROW]
[ROW][C]Y4[/C][C]72.4[/C][C]76.95[/C][C]83.65[/C][C]91[/C][C]99.8[/C][/ROW]
[ROW][C]Y5[/C][C]69.9[/C][C]74.05[/C][C]82.85[/C][C]88.55[/C][C]92.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23021&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
Y1	71.9	87.5	94.2	101.2	109.2
Y2	68	83.25	89.55	96.4	109.7
Y3	66.5	78.4	85.15	89.75	97.2
Y4	72.4	76.95	83.65	91	99.8
Y5	69.9	74.05	82.85	88.55	92.4

Boxplot Notches
Variable	lower bound	median	upper bound
Y1	87.9513380365607	94.2	100.448661963439
Y2	83.5521967285236	89.55	95.5478032714764
Y3	79.9731888113112	85.15	90.3268111886888
Y4	77.2417006871298	83.65	90.0582993128703
Y5	76.2364526664328	82.85	89.4635473335672

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Y1 & 87.9513380365607 & 94.2 & 100.448661963439 \tabularnewline
Y2 & 83.5521967285236 & 89.55 & 95.5478032714764 \tabularnewline
Y3 & 79.9731888113112 & 85.15 & 90.3268111886888 \tabularnewline
Y4 & 77.2417006871298 & 83.65 & 90.0582993128703 \tabularnewline
Y5 & 76.2364526664328 & 82.85 & 89.4635473335672 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23021&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]Y1[/C][C]87.9513380365607[/C][C]94.2[/C][C]100.448661963439[/C][/ROW]
[ROW][C]Y2[/C][C]83.5521967285236[/C][C]89.55[/C][C]95.5478032714764[/C][/ROW]
[ROW][C]Y3[/C][C]79.9731888113112[/C][C]85.15[/C][C]90.3268111886888[/C][/ROW]
[ROW][C]Y4[/C][C]77.2417006871298[/C][C]83.65[/C][C]90.0582993128703[/C][/ROW]
[ROW][C]Y5[/C][C]76.2364526664328[/C][C]82.85[/C][C]89.4635473335672[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23021&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23021&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
Y1	87.9513380365607	94.2	100.448661963439
Y2	83.5521967285236	89.55	95.5478032714764
Y3	79.9731888113112	85.15	90.3268111886888
Y4	77.2417006871298	83.65	90.0582993128703
Y5	76.2364526664328	82.85	89.4635473335672

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code