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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 04 Nov 2009 04:54:28 -0700
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/04/t1257335715vf2jtkc1xr0qjsz.htm/, Retrieved Sun, 28 Apr 2024 12:56:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53573, Retrieved Sun, 28 Apr 2024 12:56:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

Tree of Dependent Computations

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] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [ws 6 1] [2009-11-04 11:54:28] [2e4ef2c1b76db9b31c0a03b96e94ad77] [Current]
- 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]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,63	107,47	103,34	100,30
103,64	107,99	103,38	98,50
103,66	108,36	103,64	95,10
103,77	108,61	104,04	93,10
103,88	108,80	104,11	92,20
103,91	109,05	104,11	89,00
103,91	109,12	104,11	86,40
103,92	109,28	104,17	84,50
104,05	110,00	105,16	82,70
104,23	110,78	105,86	80,80
104,30	110,84	106,11	81,80
104,31	110,83	106,11	81,80
104,31	111,38	106,11	82,90
104,34	112,78	106,13	83,80
104,55	113,56	106,67	86,20
104,65	113,60	106,85	86,10
104,73	113,72	106,97	86,20
104,75	113,73	107,02	88,80
104,75	113,82	107,02	89,60
104,76	113,85	107,07	87,80
104,94	113,96	107,76	88,30
105,29	114,24	108,10	88,60
105,38	114,36	108,18	91,00
105,43	114,44	108,22	91,50
105,43	114,91	108,22	95,40
105,42	115,76	108,17	98,70
105,52	115,91	108,31	99,90
105,69	116,01	108,31	98,60
105,72	116,01	108,36	100,30
105,74	116,15	108,46	100,20
105,74	116,17	108,46	100,40
105,74	116,20	108,46	101,40
105,95	116,32	109,43	103,00
106,17	116,68	109,55	109,10
106,34	116,74	109,62	111,40
106,37	116,86	109,70	114,10
106,37	117,57	109,70	121,80
106,36	118,07	109,56	127,60
106,44	118,56	109,92	129,90
106,29	118,70	109,81	128,00
106,23	118,76	109,78	123,50
106,23	118,88	109,80	124,00
106,23	118,98	109,80	127,40
106,23	119,30	109,79	127,60
106,34	118,95	110,40	128,40
106,44	119,06	110,95	131,40
106,44	119,34	111,07	135,10
106,48	119,37	111,09	134,00
106,50	119,60	111,10	144,50
106,57	120,14	111,01	147,30
106,40	121,25	111,01	150,90
106,37	121,61	111,35	148,70
106,25	122,01	111,42	141,40
106,21	121,77	111,24	138,90
106,21	122,26	111,24	139,80
106,24	122,13	111,47	145,60
106,19	122,11	111,57	147,90
106,08	122,40	111,96	148,50
106,13	122,59	112,02	151,10
106,09	122,67	112,02	157,50

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53573&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53573&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
KLA103.63104.6105.74106.245106.57
STO107.47113.58116.16119.18122.67
SCH103.34106.76108.46110.675112.02
TOTPR80.888.9100.35130.65157.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
KLA & 103.63 & 104.6 & 105.74 & 106.245 & 106.57 \tabularnewline
STO & 107.47 & 113.58 & 116.16 & 119.18 & 122.67 \tabularnewline
SCH & 103.34 & 106.76 & 108.46 & 110.675 & 112.02 \tabularnewline
TOTPR & 80.8 & 88.9 & 100.35 & 130.65 & 157.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53573&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]KLA[/C][C]103.63[/C][C]104.6[/C][C]105.74[/C][C]106.245[/C][C]106.57[/C][/ROW]
[ROW][C]STO[/C][C]107.47[/C][C]113.58[/C][C]116.16[/C][C]119.18[/C][C]122.67[/C][/ROW]
[ROW][C]SCH[/C][C]103.34[/C][C]106.76[/C][C]108.46[/C][C]110.675[/C][C]112.02[/C][/ROW]
[ROW][C]TOTPR[/C][C]80.8[/C][C]88.9[/C][C]100.35[/C][C]130.65[/C][C]157.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53573&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
KLA103.63104.6105.74106.245106.57
STO107.47113.58116.16119.18122.67
SCH103.34106.76108.46110.675112.02
TOTPR80.888.9100.35130.65157.5






Boxplot Notches
Variablelower boundmedianupper bound
KLA105.404457632829105.74106.075542367171
STO115.017728111759116.16117.302271888241
SCH107.661429563845108.46109.258570436154
TOTPR91.8339551189142100.35108.866044881086

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
KLA & 105.404457632829 & 105.74 & 106.075542367171 \tabularnewline
STO & 115.017728111759 & 116.16 & 117.302271888241 \tabularnewline
SCH & 107.661429563845 & 108.46 & 109.258570436154 \tabularnewline
TOTPR & 91.8339551189142 & 100.35 & 108.866044881086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53573&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]KLA[/C][C]105.404457632829[/C][C]105.74[/C][C]106.075542367171[/C][/ROW]
[ROW][C]STO[/C][C]115.017728111759[/C][C]116.16[/C][C]117.302271888241[/C][/ROW]
[ROW][C]SCH[/C][C]107.661429563845[/C][C]108.46[/C][C]109.258570436154[/C][/ROW]
[ROW][C]TOTPR[/C][C]91.8339551189142[/C][C]100.35[/C][C]108.866044881086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53573&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53573&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
KLA105.404457632829105.74106.075542367171
STO115.017728111759116.16117.302271888241
SCH107.661429563845108.46109.258570436154
TOTPR91.8339551189142100.35108.866044881086


Figures (Output of Computation)

Input Parameters & R Code

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')