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Author's title

Author

*Unverified author*

R Software Module

Ian.Hollidayrwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Mon, 25 Oct 2010 08:33:22 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/25/t1287995571kqehepk3rzcbnz4.htm/, Retrieved Thu, 31 Oct 2024 23:04:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88010, Retrieved Thu, 31 Oct 2024 23:04:29 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

221

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]
-   P       [CARE Data - Boxplots and Scatterplot Matrix] [CARE Year 7 - Box...] [2010-10-24 17:17:29] [3d2d5199bc0cfc575074a922b1a90fad]
-   PD          [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data - Year ...] [2010-10-25 08:33:22] [4ac516aed8547e5ddb6075d57afaf908] [Current]
-                 [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data - Year ...] [2010-10-25 08:35:19] [3d2d5199bc0cfc575074a922b1a90fad] 
-                 [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data - Year ...] [2010-10-25 08:35:19] [3d2d5199bc0cfc575074a922b1a90fad] 
-                 [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data - Year ...] [2010-10-25 08:35:19] [3d2d5199bc0cfc575074a922b1a90fad] 
-   P               [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data - Year ...] [2010-10-25 09:55:08] [3d2d5199bc0cfc575074a922b1a90fad] 

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Dataseries X:

Download CSV

Histogram

Boxplots

58	62	64	63	60
58	62	64	63	60
58	62	64	63	60
58	62	64	63	60
58	68	66	64	63
59	70	68	67	63
62	71	69	68	66
63	71	70	69	67
68	72	70	69	67
68	72	71	69	69
70	72	72	70	70
70	72	72	70	70
71	72	73	72	71
71	72	74	72	71
73	72	74	73	73
73	72	75	73	73
74	72	77	75	74
75	72	77	77	75
75	73	77	77	75
75	74	78	77	75
75	74	78	78	77
77	75	78	79	78
77	75	78	79	78
77	75	78	80	79
77	75	78	80	79
78	75	78	81	79
78	75	79	81	79
78	75	79	81	79
80	77	79	82	80
80	77	79	82	81
80	78	80	82	81
80	78	81	82	81
80	78	81	82	82
80	78	81	83	82
80	79	82	83	82
80	79	82	83	82
80	79	82	83	82
81	80	82	83	82
81	80	83	83	82
81	81	83	83	82
82	81	83	83	82
82	81	83	84	83
82	82	84	84	83
82	82	84	84	83
82	82	84	84	84
82	82	84	85	84
83	82	84	86	84
83	82	84	86	84
84	82	84	86	85
84	82	85	86	85
84	82	86	87	85
84	82	86	87	85
84	84	86	87	85
84	85	86	88	85
84	85	86	88	85
84	85	86	88	85
85	86	87	88	85
85	87	87	88	85
86	87	87	88	85
86	87	87	88	86
86	87	87	88	86
86	88	87	88	86
86	88	87	89	86
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	89	88	89	87
86	89	89	89	87
86	89	89	89	87
86	90	89	90	88
87	90	90	90	88
87	90	90	90	88
87	90	90	91	88
87	90	90	91	88
87	91	90	91	89
87	91	90	91	89
88	91	91	91	89
88	91	91	91	89
88	91	92	92	90
88	91	92	92	90
89	91	92	92	90
89	91	92	92	91
89	91	93	92	91
89	92	94	92	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
90	92	95	94	92
90	92	95	94	92
90	93	95	94	92
90	93	96	94	93
90	93	96	94	93
90	93	96	95	93
90	93	96	95	93
90	93	96	95	93
90	95	97	95	94
91	95	97	96	94
91	95	97	96	94
91	95	98	96	95
91	95	98	96	95
91	95	98	96	95
92	95	98	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	100	97	97
92	96	100	97	97
94	97	100	98	97
94	97	101	98	97
94	97	102	98	97
95	97	102	98	97
95	97	102	98	97
95	97	102	98	97
96	97	103	98	97
96	97	103	98	98
97	97	103	99	99
97	97	104	99	99
97	98	104	99	99
98	98	105	99	99
98	99	105	100	100
98	100	105	100	100
98	100	106	100	100
98	100	106	100	100
98	102	106	100	101
98	102	106	101	102
98	102	108	101	103
98	102	108	101	104
98	102	108	101	104
98	102	108	102	104
98	102	109	102	104
99	102	109	102	105
99	102	109	102	105
99	104	109	102	105
99	104	109	102	106
102	104	109	102	107
102	104	109	103	108
102	105	109	103	109
102	105	110	103	109
102	105	110	103	109
102	105	111	104	109
104	105	111	104	109
104	105	112	105	110
104	106	112	106	111
105	106	112	108	112
105	108	114	108	112
106	109	114	108	113
107	109	114	108	114
110	110	116	108	114
112	110	116	108	114
112	110	117	109	114
112	110	118	110	117
113	111	120	110	118
113	113	121	113	118
113	113	121	113	118
114	113	122	114	118
117	114	123	119	121
117	114	123	119	121
117	114	123	119	121
117	114	123	119	121

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88010&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88010&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ7ARD	82	86	88	91	97
WJ7AMA	81	87	91	95	98
WJ7AWL	83	87	92	98	104
WJ7AKN	83	88	92	96	99
WJ7ASK	82	86	90	95	99

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 82 & 86 & 88 & 91 & 97 \tabularnewline
WJ7AMA & 81 & 87 & 91 & 95 & 98 \tabularnewline
WJ7AWL & 83 & 87 & 92 & 98 & 104 \tabularnewline
WJ7AKN & 83 & 88 & 92 & 96 & 99 \tabularnewline
WJ7ASK & 82 & 86 & 90 & 95 & 99 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88010&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]82[/C][C]86[/C][C]88[/C][C]91[/C][C]97[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]81[/C][C]87[/C][C]91[/C][C]95[/C][C]98[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]83[/C][C]87[/C][C]92[/C][C]98[/C][C]104[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]83[/C][C]88[/C][C]92[/C][C]96[/C][C]99[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]82[/C][C]86[/C][C]90[/C][C]95[/C][C]99[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88010&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ7ARD	82	86	88	91	97
WJ7AMA	81	87	91	95	98
WJ7AWL	83	87	92	98	104
WJ7AKN	83	88	92	96	99
WJ7ASK	82	86	90	95	99

Boxplot Means
Variable	trimmed mean	unbiased SD
WJ7ARD	88.17	4
WJ7AMA	91.05	4.95
WJ7AWL	92.17	6.17
WJ7AKN	91.85	4.46
WJ7ASK	90.07	4.81

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.17 & 4 \tabularnewline
WJ7AMA & 91.05 & 4.95 \tabularnewline
WJ7AWL & 92.17 & 6.17 \tabularnewline
WJ7AKN & 91.85 & 4.46 \tabularnewline
WJ7ASK & 90.07 & 4.81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88010&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]88.17[/C][C]4[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]91.05[/C][C]4.95[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]92.17[/C][C]6.17[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]91.85[/C][C]4.46[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]90.07[/C][C]4.81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88010&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88010&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
Variable	trimmed mean	unbiased SD
WJ7ARD	88.17	4
WJ7AMA	91.05	4.95
WJ7AWL	92.17	6.17
WJ7AKN	91.85	4.46
WJ7ASK	90.07	4.81

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 8 ; par2 = FALSE ; par3 = 25 ;

Parameters (R input):

par1 = 8 ; par2 = FALSE ; par3 = 25 ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code