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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 computationThu, 12 Nov 2009 11:00:10 -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/12/t1258050163ysrmje222vuaoqz.htm/, Retrieved Fri, 03 May 2024 20:40:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56312, Retrieved Fri, 03 May 2024 20:40:15 +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] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D    [Notched Boxplots] [WS6.1] [2009-11-12 18:00:10] [5edea6bc5a9a9483633d9320282a2734] [Current]
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Dataseries X:
100.00	100.00	100.00	100.00
95.83	95.06	91.74	97.67
100.00	92.59	84.40	95.35
100.00	93.83	84.40	95.35
112.50	96.30	87.16	97.67
116.67	96.30	88.07	101.55
104.17	96.30	87.16	99.22
79.17	92.59	83.49	96.90
79.17	92.59	81.65	100.00
79.17	87.65	82.57	101.55
83.33	92.59	92.66	101.55
66.67	92.59	94.50	102.33
91.67	93.83	93.58	96.90
87.50	95.06	88.07	97.67
104.17	95.06	84.40	100.00
120.83	97.53	85.32	97.67
116.67	100.00	86.24	96.12
104.17	101.23	86.24	90.70
108.33	101.23	84.40	93.02
100.00	101.23	82.57	94.57
116.67	97.53	82.57	92.25
116.67	90.12	82.57	89.92
116.67	85.19	89.91	89.92
116.67	81.48	91.74	86.82
133.33	82.72	89.91	86.82
129.17	85.19	85.32	89.15
91.67	86.42	82.57	89.92
120.83	87.65	82.57	90.70
129.17	88.89	83.49	91.47
120.83	87.65	83.49	91.47
133.33	85.19	83.49	91.47
133.33	86.42	84.40	87.60
129.17	83.95	80.73	87.60
120.83	79.01	76.15	88.37
116.67	82.72	77.06	86.05
116.67	81.48	74.31	89.15
120.83	79.01	70.64	94.57
91.67	77.78	72.48	100.00
108.33	76.54	72.48	101.55
100.00	80.25	73.39	104.65
112.50	83.95	72.48	105.43
112.50	83.95	69.72	111.63
95.83	79.01	65.14	110.08
87.50	75.31	62.39	117.83
79.17	71.60	59.63	122.48
70.83	75.31	63.30	123.26
79.17	88.89	75.23	119.38
87.50	90.12	79.82	120.16
54.17	85.19	76.15	113.95
33.33	75.31	72.48	101.55
20.83	71.60	68.81	97.67
41.67	76.54	71.56	95.35
25.00	87.65	76.15	92.25
25.00	95.06	77.06	82.17
33.33	97.53	75.23	82.17
45.83	95.06	70.64	74.42
50.00	91.36	66.06	68.99
54.17	92.59	66.97	64.34
79.17	98.77	74.31	71.32
79.17	100.00	77.98	68.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56312&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56312&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Vertr_index2579.17100116.67133.33
Werkl_mannen71.682.7288.8995.06101.23
Werkl_vrouwen59.6372.93582.5785.32100
Consprijsindex74.4289.53595.35101.55119.38

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Vertr_index & 25 & 79.17 & 100 & 116.67 & 133.33 \tabularnewline
Werkl_mannen & 71.6 & 82.72 & 88.89 & 95.06 & 101.23 \tabularnewline
Werkl_vrouwen & 59.63 & 72.935 & 82.57 & 85.32 & 100 \tabularnewline
Consprijsindex & 74.42 & 89.535 & 95.35 & 101.55 & 119.38 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56312&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]Vertr_index[/C][C]25[/C][C]79.17[/C][C]100[/C][C]116.67[/C][C]133.33[/C][/ROW]
[ROW][C]Werkl_mannen[/C][C]71.6[/C][C]82.72[/C][C]88.89[/C][C]95.06[/C][C]101.23[/C][/ROW]
[ROW][C]Werkl_vrouwen[/C][C]59.63[/C][C]72.935[/C][C]82.57[/C][C]85.32[/C][C]100[/C][/ROW]
[ROW][C]Consprijsindex[/C][C]74.42[/C][C]89.535[/C][C]95.35[/C][C]101.55[/C][C]119.38[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56312&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
Vertr_index2579.17100116.67133.33
Werkl_mannen71.682.7288.8995.06101.23
Werkl_vrouwen59.6372.93582.5785.32100
Consprijsindex74.4289.53595.35101.55119.38







Boxplot Notches
Variablelower boundmedianupper bound
Vertr_index92.3508578912404100107.649142108760
Werkl_mannen86.372922303410888.8991.4070776965892
Werkl_vrouwen80.043743332880382.5785.0962566671197
Consprijsindex92.899214868353495.3597.8007851316466

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Vertr_index & 92.3508578912404 & 100 & 107.649142108760 \tabularnewline
Werkl_mannen & 86.3729223034108 & 88.89 & 91.4070776965892 \tabularnewline
Werkl_vrouwen & 80.0437433328803 & 82.57 & 85.0962566671197 \tabularnewline
Consprijsindex & 92.8992148683534 & 95.35 & 97.8007851316466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56312&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]Vertr_index[/C][C]92.3508578912404[/C][C]100[/C][C]107.649142108760[/C][/ROW]
[ROW][C]Werkl_mannen[/C][C]86.3729223034108[/C][C]88.89[/C][C]91.4070776965892[/C][/ROW]
[ROW][C]Werkl_vrouwen[/C][C]80.0437433328803[/C][C]82.57[/C][C]85.0962566671197[/C][/ROW]
[ROW][C]Consprijsindex[/C][C]92.8992148683534[/C][C]95.35[/C][C]97.8007851316466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56312&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56312&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
Vertr_index92.3508578912404100107.649142108760
Werkl_mannen86.372922303410888.8991.4070776965892
Werkl_vrouwen80.043743332880382.5785.0962566671197
Consprijsindex92.899214868353495.3597.8007851316466



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')