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Author

*The author of this computation has been verified*

R Software Module

rwasp_BoxplotAndScatterplotMatrix.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Mon, 28 Oct 2013 12:09:35 -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/28/t1382976584sym9vrh6mku3tg9.htm/, Retrieved Mon, 06 May 2024 11:17:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=220159, Retrieved Mon, 06 May 2024 11:17:23 +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)

-     [Kolmogorov-Smirnov Test] [Kolmogorov-Smirno...] [2013-10-27 23:52:59] [2e1f0c6ea7dd47c8b5ce2e7f8d046a85]
- RMPD    [Boxplot and Trimmed Means] [ghjghjgj,gh] [2013-10-28 16:09:35] [f980f8df2359eb61bd5adb3678f83f7a] [Current]

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Dataseries X:

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Histogram

Boxplots

70.80	70.77
69.60	70.43
69.87	68.43
67.47	68.10
67.60	67.43
67.13	65.43
66.27	68.77
66.73	67.10
68.07	64.77
67.80	67.77
64.80	64.77
64.60	65.77
64.20	66.43
64.20	64.43
63.67	63.77
61.00	64.43
59.67	63.43
59.67	62.77
59.80	62.77
60.73	63.43
59.40	61.43
58.07	63.43
57.47	60.10
70.73	57.77
72.87	62.77
66.00	53.43
66.07	75.43
66.00	74.43
66.27	73.10
64.00	70.10
63.67	70.10
63.73	67.43
63.33	69.43
63.53	68.43
63.53	68.10
62.87	65.77
59.53	67.77
62.80	68.77
60.80	65.77
59.80	66.10
56.67	65.43
57.67	67.77
58.40	65.43
55.47	66.43
56.20	63.77
71.53	63.43
68.67	65.77
65.67	62.77
66.73	62.10
67.33	60.77
66.73	63.77
66.87	62.10
65.80	61.10
64.73	61.77
65.47	62.77
63.60	59.43
64.07	60.10
64.67	59.77
63.73	57.43
62.53	57.77
61.93	55.10
62.67	51.10
62.80	8.43
61.33	74.10
62.60	72.77
59.13	71.77
61.27	70.10
59.47	69.77
57.87	69.77
59.73	67.77
61.40	67.77
58.80	68.10
58.33	66.10
57.47	66.10
57.13	65.77
55.00	65.77
51.53	67.43
72.73	65.10
73.00	66.43
70.80	64.43
70.07	64.43
71.67	64.77
71.07	61.77
70.67	62.43
70.73	62.10
70.73	61.43
68.60	60.77
69.60	62.10
66.47	59.43
67.07	59.77
68.67	58.77
66.93	60.43
65.93	59.10
68.87	59.10
66.53	58.77
65.80	58.43
66.60	53.10
66.00	52.43
65.00	53.77
66.80	47.77
65.60	10.43
66.00	7.10
65.67	70.77
64.67	71.43
65.07	69.43
64.67	70.10
65.07	69.77
65.20	70.77
64.87	69.77
63.47	69.10
62.60	68.77
64.07	70.77
63.73	67.77
64.67	67.43
61.60	67.77
61.60	67.43
60.47	67.77
61.27	67.10
63.00	65.77
61.47	65.43
60.87	64.77
61.67	64.10
62.87	65.77
62.40	65.43
59.73	62.77
60.13	64.43
58.80	63.77
59.60	63.43
58.93	63.77
60.13	65.10
58.20	65.10
58.27	64.10
58.27	64.10
55.07	62.77
53.87	62.43
52.33	62.10
47.20	60.43
37.93	58.77
72.73	59.43
70.07	58.10
70.67	56.77
72.07	48.10
68.80	69.77
68.80	69.10
67.47	70.43
66.73	68.10
66.53	66.43
66.00	65.43
67.60	67.10
66.00	67.77
66.00	66.10
66.53	65.43
65.80	68.77
64.27	66.77
64.67	68.10
64.60	65.10
64.13	64.77
65.47	63.77
62.93	64.43
63.53	60.77
62.13	60.77
63.87	58.43
64.67	55.10
63.33	55.10
63.13	51.10
62.80	72.10
62.40	69.10
62.40	68.10
62.60	68.10
61.47	68.10
62.20	66.10
63.00	65.10
61.80	64.10
59.73	64.10
60.33	66.10
60.13	64.10
59.53	63.10
59.00	65.10
55.93	64.10
41.87	64.10
36.33	62.10
71.67	62.10
71.47	64.10
70.47	62.10
69.53	63.10
70.73	60.10
69.93	58.10
68.73	55.10
67.53	51.10

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	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in if (par3 > 45) { : missing value where TRUE/FALSE needed Execution halted

\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
R Engine error message & Error in if (par3 > 45) { : missing value where TRUE/FALSE needed
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=220159&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]
[ROW][C]R Engine error message[/C][C]Error in if (par3 > 45) { : missing value where TRUE/FALSE needed
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=220159&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=220159&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	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in if (par3 > 45) { : missing value where TRUE/FALSE needed Execution halted

Parameters (Session):

par2 = TRUE ;

Parameters (R input):

par1 = ; par2 = TRUE ; par3 = ;

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