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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, 02 Nov 2009 22:10:41 +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/2009/Nov/02/t1257196349n7pyjc3lkf9f67n.htm/, Retrieved Fri, 19 Apr 2024 12:02:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52983, Retrieved Fri, 19 Apr 2024 12:02:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact718
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RMPD    [Univariate Explorative Data Analysis] [tijdreeks 1] [2009-11-03 12:01:52] [214e6e00abbde49700521a7ef1d30da2]
- RMPD    [Univariate Explorative Data Analysis] [tijdreeks 2] [2009-11-03 12:03:53] [214e6e00abbde49700521a7ef1d30da2]
- RMPD    [Univariate Explorative Data Analysis] [tijdreeks 3] [2009-11-03 12:05:38] [214e6e00abbde49700521a7ef1d30da2]
- RMPD    [Univariate Explorative Data Analysis] [Tijdreeks 4] [2009-11-03 12:07:52] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:27:17] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:29:00] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:30:27] [214e6e00abbde49700521a7ef1d30da2]
-    D      [Univariate Explorative Data Analysis] [Multivariate Tijd...] [2009-12-05 14:31:47] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Back to Back Histogram] [Back To Back Hist...] [2009-12-05 14:36:09] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Kendall tau Correlation Matrix] [Kendal Tau Correl...] [2009-12-05 14:42:32] [214e6e00abbde49700521a7ef1d30da2]
- RM D        [Box-Cox Linearity Plot] [Box Cox Lineairit...] [2009-12-06 15:47:52] [214e6e00abbde49700521a7ef1d30da2]
- RMPD          [Bivariate Kernel Density Estimation] [Bivariate Kernal ...] [2009-12-10 16:40:47] [214e6e00abbde49700521a7ef1d30da2]
- RMPD    [Back to Back Histogram] [BacktoBack] [2009-11-03 12:12:21] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2009-11-03 14:17:34] [214e6e00abbde49700521a7ef1d30da2]
- RM D        [Box-Cox Linearity Plot] [Box cox linairity...] [2009-11-03 14:36:05] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bagplot] [Bagplot] [2009-11-03 18:19:37] [214e6e00abbde49700521a7ef1d30da2]
-    D            [Bagplot] [Bag plot] [2009-11-05 09:51:07] [214e6e00abbde49700521a7ef1d30da2]
-    D              [Bagplot] [Bagplot] [2009-11-05 18:46:57] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bivariate Kernel Density Estimation] [Bivariate kernal ...] [2009-11-03 18:21:13] [214e6e00abbde49700521a7ef1d30da2]
-    D            [Bivariate Kernel Density Estimation] [Bivariate kernal ...] [2009-11-05 09:43:54] [214e6e00abbde49700521a7ef1d30da2]
- RM            [Kendall tau Rank Correlation] [Kendall Rank corr...] [2009-11-03 18:23:38] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bivariate Explorative Data Analysis] [Bivariate EDA] [2009-11-03 18:31:55] [214e6e00abbde49700521a7ef1d30da2]
-    D          [Box-Cox Linearity Plot] [Box Cox lineairit...] [2009-11-05 09:38:08] [214e6e00abbde49700521a7ef1d30da2]
- RM D        [Box-Cox Linearity Plot] [Box coc linairity...] [2009-11-03 14:39:06] [214e6e00abbde49700521a7ef1d30da2]
-    D    [Notched Boxplots] [] [2009-11-03 20:37:41] [74be16979710d4c4e7c6647856088456]
-    D    [Notched Boxplots] [Workshop 5.3] [2009-11-03 21:27:11] [d31db4f83c6a129f6d3e47077769e868]
-    D      [Notched Boxplots] [Workshop 5.4] [2009-11-03 21:34:49] [d31db4f83c6a129f6d3e47077769e868]
-    D    [Notched Boxplots] [Workshop 5 Notche...] [2009-11-04 10:59:20] [f924a0adda9c1905a1ba8f1c751261ff]
-    D    [Notched Boxplots] [ws 6 1] [2009-11-04 11:54:28] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMPD      [Univariate Explorative Data Analysis] [ws 6 kla] [2009-11-04 11:57:24] [6e4e01d7eb22a9f33d58ebb35753a195]
-             [Univariate Explorative Data Analysis] [ws 6 sto] [2009-11-04 11:59:43] [6e4e01d7eb22a9f33d58ebb35753a195]
-    D          [Univariate Explorative Data Analysis] [ws 6 sch] [2009-11-04 12:01:28] [6e4e01d7eb22a9f33d58ebb35753a195]
-    D            [Univariate Explorative Data Analysis] [ws 6 totpr] [2009-11-04 12:02:45] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMPD        [Notched Boxplots] [WS6_notched_boxplots] [2009-11-09 14:00:59] [2c75a4273e8c314249ceca659377406c]
- RMPD        [Kendall tau Correlation Matrix] [WS6_kendall_tau] [2009-11-09 14:05:52] [2c75a4273e8c314249ceca659377406c]
- RMPD        [Partial Correlation] [WS6_partial_corre...] [2009-11-09 14:12:10] [2c75a4273e8c314249ceca659377406c]
- RMPD        [Box-Cox Linearity Plot] [WS6_boxcox] [2009-11-09 14:16:08] [2c75a4273e8c314249ceca659377406c]
-    D    [Notched Boxplots] [] [2009-11-04 14:57:15] [8d2349dc1d6314bc274adc9ad027c980]
F    D    [Notched Boxplots] [] [2009-11-04 14:58:21] [4d62210f0915d3a20cbf115865da7cd4]
-    D      [Notched Boxplots] [notched boxplot] [2009-11-16 18:32:43] [ed603017d2bee8fbd82b6d5ec04e12c3]
-    D      [Notched Boxplots] [WS 6 Review] [2009-11-20 12:01:20] [830e13ac5e5ac1e5b21c6af0c149b21d]
- R  D    [Notched Boxplots] [Notched boxplots ...] [2009-11-04 15:00:59] [757146c69eaf0537be37c7b0c18216d8]
-    D    [Notched Boxplots] [notched boxplot] [2009-11-04 16:42:15] [315ba876df544ad397193b5931d5f354]
- RMPD    [Trivariate Scatterplots] [WS5 Trivariate sc...] [2009-11-04 16:43:18] [445b292c553470d9fed8bc2796fd3a00]
F RMPD    [Partial Correlation] [WS5 Partial corre...] [2009-11-04 16:54:40] [445b292c553470d9fed8bc2796fd3a00]
- RMPD    [Trivariate Scatterplots] [WS5 Trivariate sc...] [2009-11-04 16:57:18] [445b292c553470d9fed8bc2796fd3a00]
-    D    [Notched Boxplots] [box plot notched] [2009-11-04 17:44:31] [315ba876df544ad397193b5931d5f354]
-           [Notched Boxplots] [Paper] [2009-12-07 10:14:57] [3e19a07d230ba260a720e0e03e0f40f2]

[Truncated]
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Dataseries X:
110.40	109.20	99.90	72.50
96.40	88.60	99.80	59.40
101.90	94.30	99.80	85.70
106.20	98.30	100.30	88.20
81.00	86.40	99.90	62.80
94.70	80.60	99.90	87.00
101.00	104.10	100.00	79.20
109.40	108.20	100.10	112.00
102.30	93.40	100.10	79.20
90.70	71.90	100.20	132.10
96.20	94.10	100.30	40.10
96.10	94.90	100.60	69.00
106.00	96.40	100.00	59.40
103.10	91.10	100.10	73.80
102.00	84.40	100.20	57.40
104.70	86.40	100.00	81.10
86.00	88.00	100.10	46.60
92.10	75.10	100.10	41.40
106.90	109.70	100.10	71.20
112.60	103.00	100.50	67.90
101.70	82.10	100.50	72.00
92.00	68.00	100.50	145.50
97.40	96.40	96.30	39.70
97.00	94.30	96.30	51.90
105.40	90.00	96.80	73.70
102.70	88.00	96.80	70.90
98.10	76.10	96.90	60.80
104.50	82.50	96.80	61.00
87.40	81.40	96.80	54.50
89.90	66.50	96.80	39.10
109.80	97.20	96.80	66.60
111.70	94.10	97.00	58.50
98.60	80.70	97.00	59.80
96.90	70.50	97.00	80.90
95.10	87.80	96.80	37.30
97.00	89.50	96.90	44.60
112.70	99.60	97.20	48.70
102.90	84.20	97.30	54.00
97.40	75.10	97.30	49.50
111.40	92.00	97.20	61.60
87.40	80.80	97.30	35.00
96.80	73.10	97.30	35.70
114.10	99.80	97.30	51.30
110.30	90.00	97.30	49.00
103.90	83.10	97.30	41.50
101.60	72.40	97.30	72.50
94.60	78.80	98.10	42.10
95.90	87.30	96.80	44.10
104.70	91.00	96.80	45.10
102.80	80.10	96.80	50.30
98.10	73.60	96.80	40.90
113.90	86.40	96.80	47.20
80.90	74.50	96.80	36.90
95.70	71.20	96.80	40.90
113.20	92.40	96.80	38.30
105.90	81.50	96.80	46.30
108.80	85.30	96.80	28.40
102.30	69.90	96.80	78.40
99.00	84.20	96.90	36.80
100.70	90.70	97.10	50.70
115.50	100.30	97.10	42.80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52983&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52983&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
iptot8696.2101.7106115.5
ipkl66.580.687.394.1109.7
pkl96.396.897.3100100.6
invkl28.442.854.572112

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
iptot & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
ipkl & 66.5 & 80.6 & 87.3 & 94.1 & 109.7 \tabularnewline
pkl & 96.3 & 96.8 & 97.3 & 100 & 100.6 \tabularnewline
invkl & 28.4 & 42.8 & 54.5 & 72 & 112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52983&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]iptot[/C][C]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]ipkl[/C][C]66.5[/C][C]80.6[/C][C]87.3[/C][C]94.1[/C][C]109.7[/C][/ROW]
[ROW][C]pkl[/C][C]96.3[/C][C]96.8[/C][C]97.3[/C][C]100[/C][C]100.6[/C][/ROW]
[ROW][C]invkl[/C][C]28.4[/C][C]42.8[/C][C]54.5[/C][C]72[/C][C]112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52983&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
iptot8696.2101.7106115.5
ipkl66.580.687.394.1109.7
pkl96.396.897.3100100.6
invkl28.442.854.572112







Boxplot Notches
Variablelower boundmedianupper bound
iptot99.717476951119101.7103.682523048881
ipkl84.568973351031387.390.0310266489687
pkl96.652645535059397.397.9473544649407
invkl48.592890507415954.560.4071094925841

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
iptot & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
ipkl & 84.5689733510313 & 87.3 & 90.0310266489687 \tabularnewline
pkl & 96.6526455350593 & 97.3 & 97.9473544649407 \tabularnewline
invkl & 48.5928905074159 & 54.5 & 60.4071094925841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52983&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]iptot[/C][C]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]ipkl[/C][C]84.5689733510313[/C][C]87.3[/C][C]90.0310266489687[/C][/ROW]
[ROW][C]pkl[/C][C]96.6526455350593[/C][C]97.3[/C][C]97.9473544649407[/C][/ROW]
[ROW][C]invkl[/C][C]48.5928905074159[/C][C]54.5[/C][C]60.4071094925841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52983&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52983&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
iptot99.717476951119101.7103.682523048881
ipkl84.568973351031387.390.0310266489687
pkl96.652645535059397.397.9473544649407
invkl48.592890507415954.560.4071094925841



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')