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Author's title

Author

*Unverified author*

R Software Module

rwasp_BoxplotAndScatterplotMatrix.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Mon, 21 Oct 2013 16:22:22 -0400

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/2013/Oct/21/t1382386964kkpo7ieou9deut8.htm/, Retrieved Sun, 28 Apr 2024 23:11:38 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217812, Retrieved Sun, 28 Apr 2024 23:11:38 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMP         [Boxplot and Trimmed Means] [CARE Study Age 7 ] [2013-10-17 12:59:45] [34296d8f7657c52ed60d5bff9133afec]
- R  D            [Boxplot and Trimmed Means] [Question 4 40trims ] [2013-10-21 20:22:22] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
75	72	75	69	73
77	72	77	72	74
78	73	79	72	75
79	77	79	73	77
79	77	81	73	77
80	78	81	73	77
80	78	83	73	78
81	79	83	75	79
81	79	83	77	80
82	79	83	78	81
82	80	84	79	81
83	80	84	80	82
83	80	84	80	82
84	80	84	81	82
85	81	84	81	82
85	81	84	82	82
85	81	85	83	82
85	82	85	83	83
86	82	85	83	83
86	82	86	84	83
86	82	86	84	83
87	82	86	84	83
88	82	86	84	83
88	84	86	84	84
88	84	86	84	84
88	85	86	84	84
88	86	87	84	84
88	86	87	85	84
88	86	87	86	85
89	86	87	86	86
89	86	87	87	86
89	86	87	87	86
89	86	88	87	86
90	86	88	87	87
90	87	88	88	88
91	88	88	88	88
91	88	88	88	88
91	88	88	89	89
91	88	88	89	89
91	89	88	89	89
91	89	88	89	89
91	89	88	89	89
91	90	89	89	89
91	90	89	89	90
92	90	90	90	90
92	91	90	90	90
92	91	90	90	90
93	91	91	90	90
93	91	91	90	91
94	91	91	90	91
94	92	92	90	91
94	92	92	91	92
94	92	92	91	92
95	92	92	91	92
95	92	93	92	92
95	92	93	92	92
95	92	93	94	92
96	92	93	94	92
96	93	93	94	93
97	94	94	94	93
97	94	94	94	93
97	95	94	94	93
97	95	94	95	93
97	95	95	95	93
98	95	95	96	94
98	95	95	96	94
98	96	95	96	94
98	96	95	96	95
98	96	96	96	95
98	97	97	97	96
98	97	97	97	96
98	97	99	98	96
100	98	100	98	97
100	98	101	98	97
100	99	101	100	97
102	100	101	100	98
102	100	102	101	98
102	100	102	102	98
102	102	102	103	98
102	103	102	104	99
103	103	103	105	99
103	103	103	105	100
104	104	103	105	100
104	105	104	105	100
106	105	104	105	100
106	105	105	106	101
106	105	105	106	102
107	105	105	107	104
108	108	105	107	104
112	109	105	107	105
112	111	105	110	107
113	112	108	110	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	NA

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217812&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217812&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217812&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ10AFS	91	91	92	94	95
WJ10AVA	88	89	91	92	92
WJ10ARD	88	88	90	92	93
WJ10AMA	88	89	90	90	91
WJ10AKN	88	89	90	91	92

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AFS & 91 & 91 & 92 & 94 & 95 \tabularnewline
WJ10AVA & 88 & 89 & 91 & 92 & 92 \tabularnewline
WJ10ARD & 88 & 88 & 90 & 92 & 93 \tabularnewline
WJ10AMA & 88 & 89 & 90 & 90 & 91 \tabularnewline
WJ10AKN & 88 & 89 & 90 & 91 & 92 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217812&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]WJ10AFS[/C][C]91[/C][C]91[/C][C]92[/C][C]94[/C][C]95[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]88[/C][C]89[/C][C]91[/C][C]92[/C][C]92[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]88[/C][C]88[/C][C]90[/C][C]92[/C][C]93[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]88[/C][C]89[/C][C]90[/C][C]90[/C][C]91[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]88[/C][C]89[/C][C]90[/C][C]91[/C][C]92[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217812&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217812&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
WJ10AFS	91	91	92	94	95
WJ10AVA	88	89	91	92	92
WJ10ARD	88	88	90	92	93
WJ10AMA	88	89	90	90	91
WJ10AKN	88	89	90	91	92

Boxplot Notches
Variable	lower bound	median	upper bound
WJ10AFS	90.97	92	93.03
WJ10AVA	89.97	91	92.03
WJ10ARD	88.62	90	91.38
WJ10AMA	89.66	90	90.34
WJ10AKN	89.31	90	90.69

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ10AFS & 90.97 & 92 & 93.03 \tabularnewline
WJ10AVA & 89.97 & 91 & 92.03 \tabularnewline
WJ10ARD & 88.62 & 90 & 91.38 \tabularnewline
WJ10AMA & 89.66 & 90 & 90.34 \tabularnewline
WJ10AKN & 89.31 & 90 & 90.69 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217812&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]WJ10AFS[/C][C]90.97[/C][C]92[/C][C]93.03[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]89.97[/C][C]91[/C][C]92.03[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]88.62[/C][C]90[/C][C]91.38[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]89.66[/C][C]90[/C][C]90.34[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]89.31[/C][C]90[/C][C]90.69[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217812&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217812&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
Variable	lower bound	median	upper bound
WJ10AFS	90.97	92	93.03
WJ10AVA	89.97	91	92.03
WJ10ARD	88.62	90	91.38
WJ10AMA	89.66	90	90.34
WJ10AKN	89.31	90	90.69

Boxplot Means
Variable	trimmed mean	unbiased SD
WJ10AFS	92	1.57
WJ10AVA	90.6	1.52
WJ10ARD	90	1.83
WJ10AMA	89.8	1.12
WJ10AKN	90	1.35

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AFS & 92 & 1.57 \tabularnewline
WJ10AVA & 90.6 & 1.52 \tabularnewline
WJ10ARD & 90 & 1.83 \tabularnewline
WJ10AMA & 89.8 & 1.12 \tabularnewline
WJ10AKN & 90 & 1.35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217812&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ10AFS[/C][C]92[/C][C]1.57[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.6[/C][C]1.52[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]90[/C][C]1.83[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]89.8[/C][C]1.12[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]90[/C][C]1.35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217812&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217812&T=3

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
WJ10AFS	92	1.57
WJ10AVA	90.6	1.52
WJ10ARD	90	1.83
WJ10AMA	89.8	1.12
WJ10AKN	90	1.35

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 2 ; par2 = TRUE ; par3 = 5 ;

Parameters (R input):

par1 = 2 ; par2 = TRUE ; par3 = 40 ;

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(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(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