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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Reddy-Moores Data Boxplot V2.0.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationMon, 28 Oct 2013 09:45:19 -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/2013/Oct/28/t1382967935irzva1osrlbj48r.htm/, Retrieved Tue, 07 May 2024 07:31:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=220122, Retrieved Tue, 07 May 2024 07:31:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Wilcoxon-Mann-Whitney Test] [Reddy-Moores Plac...] [2013-10-22 12:31:16] [34296d8f7657c52ed60d5bff9133afec]
- R     [Wilcoxon-Mann-Whitney Test] [Exercise 1 week 3] [2013-10-28 13:36:11] [25d2ba45d5ebe8be93d39e0907163e03]
- RMP       [Boxplot and Trimmed Means] [Exercise 1 week 3...] [2013-10-28 13:45:19] [1c4de6ccd86a11ce2cf18d24837542c5] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70.80	66.67
69.60	66.33
69.87	64.33
67.47	64.00
67.60	63.33
67.13	61.33
66.27	64.67
66.73	63.00
68.07	60.67
67.80	63.67
64.80	60.67
64.60	61.67
64.20	62.33
64.20	60.33
63.67	59.67
61.00	60.33
59.67	59.33
59.67	58.67
59.80	58.67
60.73	59.33
59.40	57.33
58.07	59.33
57.47	56.00
70.73	53.67
72.87	58.67
66.00	49.33
66.07	71.33
66.00	70.33
66.27	69.00
64.00	66.00
63.67	66.00
63.73	63.33
63.33	65.33
63.53	64.33
63.53	64.00
62.87	61.67
59.53	63.67
62.80	64.67
60.80	61.67
59.80	62.00
56.67	61.33
57.67	63.67
58.40	61.33
55.47	62.33
56.20	59.67
71.53	59.33
68.67	61.67
65.67	58.67
66.73	58.00
67.33	56.67
66.73	59.67
66.87	58.00
65.80	57.00
64.73	57.67
65.47	58.67
63.60	55.33
64.07	56.00
64.67	55.67
63.73	53.33
62.53	53.67
61.93	51.00
62.67	47.00
62.80	4.33
61.33	70.00
62.60	68.67
59.13	67.67
61.27	66.00
59.47	65.67
57.87	65.67
59.73	63.67
61.40	63.67
58.80	64.00
58.33	62.00
57.47	62.00
57.13	61.67
55.00	61.67
51.53	63.33
72.73	61.00
73.00	62.33
70.80	60.33
70.07	60.33
71.67	60.67
71.07	57.67
70.67	58.33
70.73	58.00
70.73	57.33
68.60	56.67
69.60	58.00
66.47	55.33
67.07	55.67
68.67	54.67
66.93	56.33
65.93	55.00
68.87	55.00
66.53	54.67
65.80	54.33
66.60	49.00
66.00	48.33
65.00	49.67
66.80	43.67
65.60	6.33
66.00	3.00
65.67	66.67
64.67	67.33
65.07	65.33
64.67	66.00
65.07	65.67
65.20	66.67
64.87	65.67
63.47	65.00
62.60	64.67
64.07	66.67
63.73	63.67
64.67	63.33
61.60	63.67
61.60	63.33
60.47	63.67
61.27	63.00
63.00	61.67
61.47	61.33
60.87	60.67
61.67	60.00
62.87	61.67
62.40	61.33
59.73	58.67
60.13	60.33
58.80	59.67
59.60	59.33
58.93	59.67
60.13	61.00
58.20	61.00
58.27	60.00
58.27	60.00
55.07	58.67
53.87	58.33
52.33	58.00
47.20	56.33
37.93	54.67
72.73	55.33
70.07	54.00
70.67	52.67
72.07	44.00
68.80	65.67
68.80	65.00
67.47	66.33
66.73	64.00
66.53	62.33
66.00	61.33
67.60	63.00
66.00	63.67
66.00	62.00
66.53	61.33
65.80	64.67
64.27	62.67
64.67	64.00
64.60	61.00
64.13	60.67
65.47	59.67
62.93	60.33
63.53	56.67
62.13	56.67
63.87	54.33
64.67	51.00
63.33	51.00
63.13	47.00
62.80	68.00
62.40	65.00
62.40	64.00
62.60	64.00
61.47	64.00
62.20	62.00
63.00	61.00
61.80	60.00
59.73	60.00
60.33	62.00
60.13	60.00
59.53	59.00
59.00	61.00
55.93	60.00
41.87	60.00
36.33	58.00
71.67	58.00
71.47	60.00
70.47	58.00
69.53	59.00
70.73	56.00
69.93	54.00
68.73	51.00
67.53	47.00

Tables (Output of Computation)





\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Engine error message & 
Error in boxplot.default(split(mf[[response]], mf[-response]), ...) : 
  invalid first argument
Calls: boxplot -> boxplot.formula -> boxplot -> boxplot.default
In addition: Warning message:
In is.na(rows) : is.na() applied to non-(list or vector) of type 'NULL'
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=220122&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in boxplot.default(split(mf[[response]], mf[-response]), ...) : 
  invalid first argument
Calls: boxplot -> boxplot.formula -> boxplot -> boxplot.default
In addition: Warning message:
In is.na(rows) : is.na() applied to non-(list or vector) of type 'NULL'
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=220122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=220122&T=0

As an alternative you can also use a QR Code:  
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'Herman Ole Andreas Wold' @ wold.wessa.net
R Engine error message
Error in boxplot.default(split(mf[[response]], mf[-response]), ...) : 
  invalid first argument
Calls: boxplot -> boxplot.formula -> boxplot -> boxplot.default
In addition: Warning message:
In is.na(rows) : is.na() applied to non-(list or vector) of type 'NULL'
Execution halted


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = TRUE ; par3 = 25 ; par4 = 1 ; par5 = 2 ;
Parameters (R input):
par1 = grey ; par2 = TRUE ; par3 = 25 ; par4 = 1 ; par5 = 2 ;
R code (references can be found in the software module):
par5 <- '2'
par4 <- '1'
par3 <- '50'
par2 <- 'TRUE'
par1 <- 'grey'
bitmap(file='test1.png')
par2<- as.logical(par2) # notches
par3<-as.numeric(par3) # percentage 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.')}
par4 <- as.numeric(par4) #factor column
par5 <- as.numeric(par5) # response column
x <- t(x)
x1<-as.numeric(x[,par5]) # response
f1<-as.character(x[,par4]) # factor
x2<-x1[f1=='no']
f2 <- f1[f1=='no']
lotrm<-as.integer(length(x2)*par3/100)
hitrm<-as.integer(length(x2)*(100-par3)/100)
srt<-order(x2,f2)
trmx1<-x2[srt[lotrm:hitrm]]
trmf1<-f2[srt[lotrm:hitrm]]
x3<-x1[f1=='yes']
f3 <- f1[f1=='yes']
lotrm<-as.integer(length(x3)*par3/100)
hitrm<-as.integer(length(x3)*(100-par3)/100)
srt<-order(x3,f3)
trmx2<-x3[srt[lotrm:hitrm]]
trmf2<-f3[srt[lotrm:hitrm]]
xtrm<-c(trmx1,trmx2)
ftrm<-c(trmf1,trmf2)
xtrm[1:6]
ftrm[1:6]
r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, main=main, xlab=xlab, ylab=ylab)
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,'Placement',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)
a<-table.row.start(a)
a<-table.element(a,'no',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,1])
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'yes',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,2])
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
tr.mns<-tapply(x1,f1,mean, trim=par3/100)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('trimmed_mean.htm','Trimmed Mean Equation','Trimmed Mean'),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'No Placement')
a<-table.element(a,'Placement')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,tr.mns[1])
a<-table.element(a,tr.mns[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')