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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 computationWed, 11 Nov 2009 03:12:48 -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/11/t12579344099g8ywcvunb2shqu.htm/, Retrieved Fri, 19 Apr 2024 22:28:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55456, Retrieved Fri, 19 Apr 2024 22:28:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
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_Boxplot] [2009-11-06 09:24:53] [8b1aef4e7013bd33fbc2a5833375c5f5]
-           [Notched Boxplots] [] [2009-11-11 10:12:48] [2a6f24d4847085573f343c759dfbabef] [Current]
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Dataseries X:
100.00	100.00	100.00	100.00
100.00	98.04	100.78	102.58
97.56	95.10	101.24	84.79
95.12	92.16	102.35	74.23
92.68	90.20	102.41	82.99
92.68	89.22	102.67	93.30
97.56	94.12	102.54	98.45
107.32	100.00	102.74	91.24
112.20	100.00	103.07	65.21
112.20	98.04	103.39	57.22
112.20	97.06	103.72	73.45
114.63	97.06	103.91	71.65
117.07	97.06	104.37	58.76
117.07	95.10	104.89	58.25
114.63	93.14	105.61	69.85
114.63	92.16	106.00	71.39
114.63	91.18	106.13	71.39
112.20	91.18	106.20	68.04
121.95	97.06	106.26	65.98
131.71	102.94	106.33	53.35
134.15	103.92	106.98	59.79
136.59	103.92	107.44	55.67
136.59	102.94	107.50	57.47
141.46	103.92	107.57	61.86
146.34	105.88	107.63	73.20
148.78	105.88	108.15	71.39
148.78	104.90	108.35	75.52
146.34	103.92	109.07	75.00
146.34	103.92	109.39	69.33
148.78	105.88	109.78	61.34
158.54	111.76	109.98	66.49
173.17	119.61	110.18	82.22
180.49	121.57	110.31	72.68
180.49	121.57	110.57	70.10
182.93	120.59	110.63	65.21
185.37	121.57	110.70	69.59
190.24	122.55	110.76	62.37
190.24	122.55	111.15	64.43
187.80	121.57	111.48	59.54
185.37	120.59	112.13	62.11
182.93	119.61	112.13	65.98
178.05	118.63	112.20	71.13
185.37	123.53	112.20	69.85
195.12	129.41	112.46	62.89
195.12	131.37	112.85	63.40
192.68	129.41	113.31	54.64
190.24	126.47	113.37	51.29
187.80	125.49	113.37	47.94
190.24	124.51	113.44	48.45
187.80	123.53	113.89	46.91
182.93	121.57	114.16	44.85
178.05	118.63	114.74	44.07
173.17	117.65	114.81	35.57
170.73	116.67	114.22	32.73
178.05	122.55	114.55	30.67
190.24	129.41	114.74	32.99
192.68	131.37	115.26	30.67
192.68	130.39	114.87	31.44
190.24	127.45	114.87	37.89
190.24	126.47	114.94	37.63
192.68	127.45	115.00	50.52
190.24	126.47	115.98	48.45
185.37	123.53	116.44	52.32
180.49	121.57	117.03	52.58
175.61	118.63	117.09	48.97
168.29	116.67	117.16	46.39
173.17	120.59	117.22	49.48
182.93	127.45	117.22	49.48
185.37	127.45	117.29	50.77
180.49	123.53	117.35	63.40
178.05	119.61	117.55	60.82
175.61	118.63	117.68	65.21
178.05	117.65	117.68	59.54
175.61	115.69	118.26	51.03
173.17	113.73	118.66	37.63
170.73	111.76	119.05	32.47
168.29	109.80	119.18	40.72
165.85	109.80	119.44	44.85
175.61	115.69	119.77	48.71
185.37	122.55	119.83	47.68
187.80	123.53	119.90	41.75
185.37	121.57	119.96	33.51
182.93	118.63	120.09	36.60
182.93	117.65	120.29	29.64
185.37	117.65	120.35	10.82
185.37	116.67	121.27	19.07
185.37	115.69	121.72	26.29
182.93	112.75	122.37	38.92
178.05	110.78	122.50	47.94
175.61	109.80	122.57	40.98
180.49	113.73	122.64	26.55
195.12	119.61	122.83	11.34
200.00	119.61	122.90	21.13
195.12	114.71	122.96	22.16
187.80	109.80	122.96	14.95
187.80	107.84	123.03	15.21
190.24	106.86	123.03	24.48
190.24	105.88	123.55	25.26
187.80	102.94	123.94	31.70
182.93	100.00	125.18	30.15
178.05	98.04	125.57	21.65
173.17	97.06	125.90	19.07
173.17	100.98	126.22	16.75
175.61	104.90	126.48	23.45
165.85	101.96	126.68	30.67
160.98	99.02	127.14	33.51
156.10	95.10	127.14	39.43
156.10	92.16	127.14	50.00
158.54	87.25	127.14	46.13
153.66	82.35	127.53	50.26
143.90	79.41	127.85	58.25
134.15	81.37	127.98	52.58
126.83	79.41	127.98	55.67
119.51	78.43	127.98	70.88
131.71	85.29	127.98	71.91
141.46	90.20	128.51	74.23
139.02	88.24	128.96	86.60
136.59	87.25	129.16	76.55
134.15	83.33	129.29	79.90
131.71	79.41	129.48	64.18
131.71	73.53	129.55	56.70
131.71	69.61	130.14	57.99
134.15	67.65	130.46	53.87
141.46	69.61	131.31	71.91
139.02	68.63	131.90	80.93
131.71	65.69	132.35	75.52
136.59	68.63	132.75	68.30
141.46	71.57	132.75	68.81
151.22	75.49	133.07	58.25
165.85	82.35	133.14	60.57
163.41	82.35	133.27	54.90
163.41	86.27	133.40	56.19
156.10	89.22	133.59	74.74
153.66	88.24	133.79	67.78
153.66	84.31	134.18	68.81
156.10	77.45	134.70	46.65
153.66	75.49	134.96	34.28
146.34	76.47	135.09	22.68
153.66	90.20	135.55	32.99
153.66	92.16	135.68	32.47
160.98	90.20	136.01	32.47
182.93	85.29	136.07	33.25
190.24	82.35	136.33	28.35
192.68	84.31	136.40	35.31
190.24	88.24	136.79	31.19
185.37	89.22	136.86	44.85
182.93	85.29	136.92	45.36
185.37	80.39	136.99	38.14
182.93	77.45	137.51	26.80
178.05	77.45	137.90	41.75
185.37	89.22	138.10	38.40
182.93	92.16	138.29	46.13
185.37	92.16	138.42	46.39
192.68	89.22	138.55	40.72
192.68	88.24	138.88	47.94
197.56	91.18	139.20	44.85
200.00	97.06	139.40	40.98
195.12	96.08	139.60	32.47
182.93	91.18	139.79	29.12
165.85	81.37	140.12	49.48
158.54	78.43	140.25	67.27
160.98	83.33	140.83	58.25
185.37	101.96	141.16	62.11
195.12	108.82	141.49	58.25
197.56	106.86	141.68	52.32
187.80	98.04	141.88	73.71
182.93	90.20	142.14	65.72
185.37	90.20	142.27	58.51
190.24	93.14	142.60	58.25
190.24	94.12	142.79	66.24
190.24	93.14	143.05	79.12
182.93	89.22	143.77	71.13
182.93	87.25	144.10	64.69
173.17	88.24	144.16	73.97
182.93	99.02	144.68	80.93
182.93	100.98	144.81	80.15
185.37	100.00	144.94	81.44
187.80	94.12	145.14	63.66
187.80	90.20	145.40	66.24
192.68	91.18	145.53	74.48
197.56	92.16	145.73	67.78
200.00	92.16	146.12	61.34
200.00	90.20	146.84	43.56
200.00	88.24	147.10	50.52
192.68	88.24	147.36	56.44
178.05	88.24	147.62	48.20
168.29	96.08	147.75	41.24
160.98	98.04	148.08	42.01
163.41	96.08	148.27	31.44
168.29	91.18	148.60	31.19
170.73	88.24	148.79	38.40
173.17	88.24	148.99	42.27
175.61	89.22	149.05	42.78
173.17	89.22	149.25	45.62
168.29	89.22	149.38	46.91
170.73	90.20	149.45	45.88
165.85	86.27	149.58	32.99
156.10	81.37	149.77	33.25
163.41	82.35	149.97	35.31
160.98	79.41	150.03	28.87
156.10	75.49	150.16	38.92
153.66	77.45	150.55	57.73
151.22	77.45	150.68	75.77
158.54	78.43	151.14	79.64
165.85	77.45	151.27	89.18
165.85	74.51	151.99	93.81
156.10	69.61	153.36	113.14
148.78	66.67	153.95	106.96
141.46	63.73	154.53	134.28
148.78	67.65	154.66	149.48
175.61	80.39	154.92	152.32
178.05	85.29	155.38	138.92
168.29	81.37	155.84	140.72
148.78	77.45	155.97	121.65
141.46	73.53	156.56	80.93
151.22	76.47	156.69	67.78
173.17	81.37	156.88	59.79
187.80	82.35	157.01	49.74
192.68	80.39	157.27	15.98
187.80	75.49	157.47	15.46
180.49	70.59	157.99	-9.54
182.93	71.57	158.45	-28.35
195.12	79.41	158.64	-43.30
197.56	83.33	159.10	-20.10




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=55456&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=55456&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55456&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Belg_Werkl_Men100151.22175.61185.37200
Belg_Werkl_Women63.7384.894.12113.73131.37
Belg_Uurl100114.84127.98142.435159.1
Belg_Infl10.8238.01552.96568.81113.14

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Belg_Werkl_Men & 100 & 151.22 & 175.61 & 185.37 & 200 \tabularnewline
Belg_Werkl_Women & 63.73 & 84.8 & 94.12 & 113.73 & 131.37 \tabularnewline
Belg_Uurl & 100 & 114.84 & 127.98 & 142.435 & 159.1 \tabularnewline
Belg_Infl & 10.82 & 38.015 & 52.965 & 68.81 & 113.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55456&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]Belg_Werkl_Men[/C][C]100[/C][C]151.22[/C][C]175.61[/C][C]185.37[/C][C]200[/C][/ROW]
[ROW][C]Belg_Werkl_Women[/C][C]63.73[/C][C]84.8[/C][C]94.12[/C][C]113.73[/C][C]131.37[/C][/ROW]
[ROW][C]Belg_Uurl[/C][C]100[/C][C]114.84[/C][C]127.98[/C][C]142.435[/C][C]159.1[/C][/ROW]
[ROW][C]Belg_Infl[/C][C]10.82[/C][C]38.015[/C][C]52.965[/C][C]68.81[/C][C]113.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55456&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55456&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
Belg_Werkl_Men100151.22175.61185.37200
Belg_Werkl_Women63.7384.894.12113.73131.37
Belg_Uurl100114.84127.98142.435159.1
Belg_Infl10.8238.01552.96568.81113.14







Boxplot Notches
Variablelower boundmedianupper bound
Belg_Werkl_Men172.004846292533175.61179.215153707467
Belg_Werkl_Women91.06591224723294.1297.174087752768
Belg_Uurl125.066845781624127.98130.893154218376
Belg_Infl49.714027571846252.96556.2159724281538

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Belg_Werkl_Men & 172.004846292533 & 175.61 & 179.215153707467 \tabularnewline
Belg_Werkl_Women & 91.065912247232 & 94.12 & 97.174087752768 \tabularnewline
Belg_Uurl & 125.066845781624 & 127.98 & 130.893154218376 \tabularnewline
Belg_Infl & 49.7140275718462 & 52.965 & 56.2159724281538 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55456&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]Belg_Werkl_Men[/C][C]172.004846292533[/C][C]175.61[/C][C]179.215153707467[/C][/ROW]
[ROW][C]Belg_Werkl_Women[/C][C]91.065912247232[/C][C]94.12[/C][C]97.174087752768[/C][/ROW]
[ROW][C]Belg_Uurl[/C][C]125.066845781624[/C][C]127.98[/C][C]130.893154218376[/C][/ROW]
[ROW][C]Belg_Infl[/C][C]49.7140275718462[/C][C]52.965[/C][C]56.2159724281538[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55456&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55456&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
Belg_Werkl_Men172.004846292533175.61179.215153707467
Belg_Werkl_Women91.06591224723294.1297.174087752768
Belg_Uurl125.066845781624127.98130.893154218376
Belg_Infl49.714027571846252.96556.2159724281538



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')