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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationFri, 22 Oct 2010 11:20:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/22/t1287746346e32nraml8u2ku7x.htm/, Retrieved Tue, 05 Dec 2023 22:31:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87396, Retrieved Tue, 05 Dec 2023 22:31:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R  D        [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-22 11:20:25] [54267adef7baf61333616dd7c1eaeb30] [Current]
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Dataseries X:
89	81	109	83	95
90	91	88	102	92
82	96	87	75	85
82	85	78	92	83
71	74	72	94	73
80	78	85	88	81
62	71	73	77	63
77	72	77	63	77
80	87	90	73	82
87	72	78	85	82
96	90	96	80	95
80	87	84	77	85
85	89	87	67	88
89	110	105	98	98
89	95	89	89	87
73	72	78	63	71
88	70	96	97	89
86	79	79	77	86
83	92	90	96	88
91	93	96	84	93
98	97	95	94	95
80	75	79	70	78
84	88	86	100	84
90	105	99	88	97
92	82	111	97	95
86	89	105	78	88
117	114	123	108	121
88	81	102	81	97
86	73	82	96	82
78	82	86	84	82
104	110	117	104	108
89	93	94	87	90
99	114	110	98	113
84	91	86	89	86
89	97	109	93	105
95	97	118	89	105
58	68	64	63	60
77	72	78	84	75
77	81	86	82	79
98	102	98	105	104
58	62	64	70	60
81	102	84	94	87
92	84	87	101	93
94	75	88	83	85
87	102	106	88	97
75	62	78	69	67
80	100	79	94	85
84	82	95	82	86
87	78	98	82	88
114	106	101	109	114
97	88	104	86	97
102	85	91	99	93
80	97	78	82	80
112	114	123	114	118
104	105	109	99	109
75	100	77	91	81
82	72	77	81	79
92	106	102	102	104
102	78	88	101	97
73	80	81	72	75
78	88	83	91	82
74	62	72	83	71
92	93	95	102	92
97	87	109	103	104
92	109	91	93	99
91	91	87	88	89
102	110	112	110	114
89	98	95	100	95
98	99	103	88	106
117	95	108	119	117
92	97	116	98	109
70	88	71	90	74
63	72	70	69	63
91	102	105	98	103
106	95	112	98	107
81	93	86	81	86
98	90	109	93	99
88	80	112	91	87
95	75	97	86	93
105	109	122	95	114
90	75	97	87	82
58	72	64	63	60
86	77	84	89	83
112	93	110	108	111
71	72	70	99	75
98	91	100	90	94
87	95	102	91	91
98	111	108	82	100
117	105	123	119	121
98	90	78	97	90
98	105	109	108	105
90	90	106	101	97
84	92	95	96	92
86	95	108	97	92
68	75	74	69	67
86	92	86	89	90
77	100	82	84	85
83	82	88	79	85
90	102	96	103	97
107	104	114	92	118
102	98	111	104	109
90	95	88	102	94
113	114	123	106	121
86	93	89	93	85
105	110	114	108	112
110	104	121	119	118
82	91	100	102	93
89	79	83	83	85
99	97	92	92	97
113	102	108	119	121
91	77	87	100	83
92	105	84	97	89
86	95	95	103	92
91	104	90	95	89
82	75	82	73	82
86	82	84	86	85
86	91	96	88	92
102	105	109	102	112
84	71	84	87	79
80	89	83	100	84
96	79	93	88	92
117	113	120	100	118
88	82	83	79	82
99	102	103	90	100
89	82	103	83	87
86	92	102	95	97
98	82	90	89	87
58	86	69	64	70
98	108	114	108	110
58	74	64	80	60
81	87	87	83	81
90	97	116	96	94
112	102	121	108	114
84	75	90	86	85
84	82	92	88	85
75	72	81	97	79
78	88	84	110	82
94	97	106	102	102
75	85	75	92	73
82	62	79	91	78
87	95	80	92	84
59	95	74	72	70
68	72	66	88	66
80	92	81	99	79
94	91	98	95	95
87	97	99	83	95
70	78	68	68	69
113	95	100	101	109
99	91	97	91	100
90	95	99	89	91
102	88	104	98	99
80	92	82	89	84
98	97	92	98	101
98	104	99	97	99
95	113	109	98	104
104	113	106	113	109
86	82	89	83	87
84	90	87	92	88
85	91	98	113	87
90	95	95	103	95
86	102	92	96	92
97	92	90	94	100




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87396&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87396&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AWL648392105123
WJ7AKN63839299119
WJ7ASK60829099121

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 58 & 82 & 88.5 & 98 & 117 \tabularnewline
WJ7AMA & 62 & 81 & 91 & 98 & 114 \tabularnewline
WJ7AWL & 64 & 83 & 92 & 105 & 123 \tabularnewline
WJ7AKN & 63 & 83 & 92 & 99 & 119 \tabularnewline
WJ7ASK & 60 & 82 & 90 & 99 & 121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87396&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]WJ7ARD[/C][C]58[/C][C]82[/C][C]88.5[/C][C]98[/C][C]117[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]62[/C][C]81[/C][C]91[/C][C]98[/C][C]114[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]64[/C][C]83[/C][C]92[/C][C]105[/C][C]123[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]63[/C][C]83[/C][C]92[/C][C]99[/C][C]119[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]60[/C][C]82[/C][C]90[/C][C]99[/C][C]121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87396&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87396&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
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AWL648392105123
WJ7AKN63839299119
WJ7ASK60829099121







Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AWL93.3614.38
WJ7AKN91.4112.07
WJ7ASK91.1913.9

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.68 & 12.64 \tabularnewline
WJ7AMA & 90.17 & 12.52 \tabularnewline
WJ7AWL & 93.36 & 14.38 \tabularnewline
WJ7AKN & 91.41 & 12.07 \tabularnewline
WJ7ASK & 91.19 & 13.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87396&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ7ARD[/C][C]88.68[/C][C]12.64[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.17[/C][C]12.52[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]93.36[/C][C]14.38[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]91.41[/C][C]12.07[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]91.19[/C][C]13.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87396&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87396&T=2

As an alternative you can also use a QR Code:  

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

Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AWL93.3614.38
WJ7AKN91.4112.07
WJ7ASK91.1913.9



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,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,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),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,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')