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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationFri, 01 Jun 2012 06:38:13 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jun/01/t133854710673ayyvnao1ha9vt.htm/, Retrieved Thu, 02 May 2024 13:05:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168727, Retrieved Thu, 02 May 2024 13:05:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Triglyceridge Reg...] [2011-07-07 15:11:49] [74be16979710d4c4e7c6647856088456]
- R     [Simple Linear Regression] [Triglyceride] [2012-05-04 19:33:41] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD      [CARE Data - Boxplots and Scatterplot Matrix] [Q1 B 2] [2012-06-01 10:38:13] [7cb93daa1b43d22beaebea6418b7e3ab] [Current]
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Dataseries X:
58	51	77	77
53	54	68	70
59	59	76	76
51	52	76	77
64	64	69	73
52	57	71	71
65	66	65	64
62	62	70	75
61	61	92	101
61	61	76	75
54	59	119	124
50	50	65	66
63	61	66	70
58	60	101	100
39	41	75	73
71	71	79	76
52	52	64	65
68	63	69	69
56	54	88	86
54	53	65	67
63	59	80	80
54	55	78	80
54	56	85	82
75	75	82	85
56	57	74	73
78	75	102	107
60	59	65	64
64	63	73	74
64	62	75	70
52	51	57	58
62	61	68	69
55	54	71	71
56	57	71	76
50	50	97	98
50	55	80	76
63	64	66	66
61	60	69	70
53	52	69	70
60	55	55	56
56	56	59	61
53	53	62	66
57	59	70	68
57	56	84	86
56	56	69	71
56	57	88	87
50	50	103	101
52	52	63	63
55	55	84	90
47	47	79	79
45	45	67	67
62	63	83	83
53	51	96	94
52	51	75	76
57	55	65	66
64	64	78	77
59	55	69	73
55	57	87	89
76	77	83	84
62	62	90	91
68	68	85	83
55	55	66	68
45	45	88	86
68	68	54	58
44	44	69	68
62	61	56	58
56	53	96	95
50	47	76	75
53	53	61	61
64	62	62	64
52	53	71	68
53	55	66	67
54	55	81	82
64	66	68	68
55	55	80	78
55	55	70	70
59	55	76	75
70	67	88	93
57	58	89	86
47	47	74	71
47	45	83	80
48	44	90	91
57	56	79	81
51	50	NA	NA
54	54	NA	NA
53	52	NA	NA
59	58	NA	NA
59	59	NA	NA
63	62	NA	NA
66	66	NA	NA
53	50	NA	NA
63	59	NA	NA
56	56	NA	NA
60	55	NA	NA
58	54	NA	NA
50	49	NA	NA
59	59	NA	NA
51	51	NA	NA
62	61	NA	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168727&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168727&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168727&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
FW4453566275
FRW4152566171
MW54687583103
MRW56687583101

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
FW & 44 & 53 & 56 & 62 & 75 \tabularnewline
FRW & 41 & 52 & 56 & 61 & 71 \tabularnewline
MW & 54 & 68 & 75 & 83 & 103 \tabularnewline
MRW & 56 & 68 & 75 & 83 & 101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168727&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]FW[/C][C]44[/C][C]53[/C][C]56[/C][C]62[/C][C]75[/C][/ROW]
[ROW][C]FRW[/C][C]41[/C][C]52[/C][C]56[/C][C]61[/C][C]71[/C][/ROW]
[ROW][C]MW[/C][C]54[/C][C]68[/C][C]75[/C][C]83[/C][C]103[/C][/ROW]
[ROW][C]MRW[/C][C]56[/C][C]68[/C][C]75[/C][C]83[/C][C]101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168727&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168727&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
FW4453566275
FRW4152566171
MW54687583103
MRW56687583101







Boxplot Notches
Variablelower boundmedianupper bound
FW54.565657.44
FRW54.565657.44
MW72.387577.62
MRW72.387577.62

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
FW & 54.56 & 56 & 57.44 \tabularnewline
FRW & 54.56 & 56 & 57.44 \tabularnewline
MW & 72.38 & 75 & 77.62 \tabularnewline
MRW & 72.38 & 75 & 77.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168727&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]FW[/C][C]54.56[/C][C]56[/C][C]57.44[/C][/ROW]
[ROW][C]FRW[/C][C]54.56[/C][C]56[/C][C]57.44[/C][/ROW]
[ROW][C]MW[/C][C]72.38[/C][C]75[/C][C]77.62[/C][/ROW]
[ROW][C]MRW[/C][C]72.38[/C][C]75[/C][C]77.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168727&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168727&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
FW54.565657.44
FRW54.565657.44
MW72.387577.62
MRW72.387577.62







Boxplot Means
Variabletrimmed meanunbiased SD
FW57.196.923
FRW56.676.788
MW75.9812.16
MRW76.5612.29

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
FW & 57.19 & 6.923 \tabularnewline
FRW & 56.67 & 6.788 \tabularnewline
MW & 75.98 & 12.16 \tabularnewline
MRW & 76.56 & 12.29 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168727&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]FW[/C][C]57.19[/C][C]6.923[/C][/ROW]
[ROW][C]FRW[/C][C]56.67[/C][C]6.788[/C][/ROW]
[ROW][C]MW[/C][C]75.98[/C][C]12.16[/C][/ROW]
[ROW][C]MRW[/C][C]76.56[/C][C]12.29[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168727&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168727&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
Variabletrimmed meanunbiased SD
FW57.196.923
FRW56.676.788
MW75.9812.16
MRW76.5612.29



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Wilcoxon-Mann_Whitney ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; 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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')