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Author's title

Author

*Unverified author*

R Software Module

Ian.Hollidayrwasp_Reddy-Moores Data Boxplot V2.0.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Tue, 19 Oct 2010 13:44:59 +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/19/t12874958462pas3iuq0g8mu9l.htm/, Retrieved Mon, 29 Apr 2024 01:00:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86436, Retrieved Mon, 29 Apr 2024 01:00:34 +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] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D    [Boxplot and Trimmed Means] [Error with Boxplot] [2010-10-17 09:53:51] [a1af044be13ec2160cfa9b8e01858a75]
- R  D      [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:31:37] [98fd0e87c3eb04e0cc2efde01dbafab6]
-             [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:38:06] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R             [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:42:04] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R               [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-18 11:10:52] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R                 [Boxplot and Trimmed Means] [Boxplot 0% trim] [2010-10-18 14:56:34] [98fd0e87c3eb04e0cc2efde01dbafab6]
-                     [Boxplot and Trimmed Means] [20% trim boxplot] [2010-10-18 15:00:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
-                       [Boxplot and Trimmed Means] [20% trim] [2010-10-18 15:13:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P                     [Boxplot and Trimmed Means] [Trim 0%] [2010-10-18 15:18:47] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D                      [Boxplot and Trimmed Means] [test] [2010-10-18 16:42:35] [b98453cac15ba1066b407e146608df68]
-   P                         [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-18 17:11:37] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D                            [Boxplot and Trimmed Means] [boxplot for place...] [2010-10-19 13:44:59] [a81e54560608f419cca58cdb29143179] [Current]

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Dataseries X:

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Histogram

Boxplots

'no'	60.33
'no'	55.67
'no'	63.33
'no'	67.67
'no'	59.67
'no'	57.47
'no'	59.67
'no'	62.60
'no'	64.87
'no'	57.13
'no'	67.80
'no'	65.67
'no'	69.60
'no'	64.33
'no'	58.33
'no'	62.53
'no'	62.60
'no'	60.00
'no'	64.60
'no'	66.67
'no'	62.20
'no'	59.47
'no'	61.93
'no'	59.13
'no'	59.67
'no'	66.27
'no'	69.60
'no'	64.73
'no'	62.80
'no'	70.07
'no'	64.67
'no'	60.87
'no'	62.93
'no'	66.33
'no'	59.73
'no'	60.00
'no'	58.00
'no'	66.20
'no'	58.67
'no'	62.33
'no'	64.00
'no'	66.33
'no'	67.33
'no'	62.40
'no'	61.67
'no'	64.13
'no'	59.73
'no'	6.33
'no'	59.00
'no'	66.47
'no'	58.00
'no'	72.07
'no'	61.80
'no'	63.53
'no'	59.33
'no'	63.13
'no'	64.67
'no'	61.47
'no'	51.53
'no'	56.33
'no'	57.67
'no'	60.33
'no'	51.00
'no'	66.53
'no'	56.67
'no'	51.00
'no'	61.33
'no'	61.27
'no'	62.00
'no'	65.07
'no'	64.00
'no'	59.33
'no'	62.40
'no'	55.00
'no'	60.13
'no'	64.40
'no'	61.93
'no'	41.87
'no'	60.00
'no'	61.33
'no'	56.00
'no'	55.67
'no'	63.33
'no'	64.27
'no'	64.00
'no'	66.00
'no'	56.33
'no'	61.67
'no'	67.13
'no'	69.00
'no'	70.73
'no'	51.00
'no'	58.00
'no'	59.53
'no'	64.07
'no'	63.73
'no'	63.67
'no'	63.27
'no'	58.80
'no'	64.00
'no'	58.67
'no'	60.33
'no'	69.93
'no'	47.20
'no'	57.33
'no'	63.67
'no'	58.67
'no'	65.67
'no'	61.87
'no'	58.00
'no'	58.67
'no'	56.00
'no'	65.33
'no'	65.00
'no'	58.80
'no'	67.47
'no'	61.00
'no'	64.33
'no'	61.33
'no'	63.67
'no'	62.40
'no'	70.73
'no'	59.60
'no'	61.00
'no'	65.47
'no'	70.67
'no'	55.00
'no'	63.00
'no'	57.87
'no'	49.33
'no'	62.00
'no'	70.07
'no'	60.40
'no'	67.60
'no'	56.00
'no'	63.60
'no'	66.67
'no'	57.33
'no'	63.00
'no'	71.07
'no'	65.80
'no'	63.67
'no'	62.13
'no'	62.80
'no'	59.33
'no'	64.67
'no'	60.33
'no'	36.33
'no'	58.67
'no'	62.00
'no'	61.40
'no'	65.67
'no'	63.73
'no'	58.07
'no'	65.93
'no'	71.67
'no'	59.00
'no'	63.67
'no'	58.93
'no'	63.87
'no'	64.67
'no'	62.00
'no'	62.33
'no'	61.67
'no'	63.47
'no'	64.67
'no'	48.33
'no'	61.27
'no'	58.00
'no'	56.33
'no'	72.73
'no'	64.47
'no'	65.00
'no'	64.80
'no'	61.67
'no'	55.33
'no'	63.67
'no'	62.33
'no'	59.53
'no'	51.00
'no'	62.33
'no'	56.67
'no'	64.00
'no'	65.80
'no'	61.00
'no'	54.00
'no'	54.20
'no'	66.07
Pment	64.67
'yes'	62.00
'yes'	54.73
'yes'	66.00
'yes'	66.00
'yes'	66.00
'yes'	55.00
'yes'	66.80
'yes'	68.67
'yes'	59.00
'yes'	66.00
'yes'	60.00
'yes'	54.33
'yes'	62.93
'yes'	63.53
'yes'	68.67
'yes'	68.67
'yes'	64.67
'yes'	63.00
'yes'	66.73
'yes'	60.67
'yes'	61.00
'yes'	63.00
'yes'	68.73
'yes'	63.07
'yes'	64.00
'yes'	64.00
'yes'	61.47
'yes'	58.20
'yes'	55.47
'yes'	62.60
'yes'	69.53
'yes'	52.67
'yes'	66.20
'yes'	64.60
'yes'	67.60
'yes'	59.87
'yes'	70.33
'yes'	66.00
'yes'	49.00
'yes'	61.33
'yes'	53.87
'yes'	49.67
'yes'	61.33
'yes'	58.27
'yes'	60.67
'yes'	61.60
'yes'	47.00
'yes'	59.13
'yes'	59.67
'yes'	61.40
'yes'	61.60
'yes'	70.73
'yes'	70.00
'yes'	64.67
'yes'	64.07
'yes'	54.67
'yes'	58.00
'yes'	63.00
'yes'	60.73
'yes'	62.67
'yes'	68.00
'yes'	62.67
'yes'	60.67
'yes'	59.67
'yes'	63.67
'yes'	64.00
'yes'	65.60
'yes'	62.00
'yes'	65.80
'yes'	58.40
'yes'	55.33
'yes'	64.07
'yes'	56.20
'yes'	63.33
'yes'	61.67
'yes'	62.00
'yes'	61.67
'yes'	62.87
'yes'	71.47
'yes'	70.73
'yes'	3.00
'yes'	60.67
'yes'	66.60
'yes'	67.33
'yes'	62.80
'yes'	70.47
'yes'	44.00
'yes'	63.33
'yes'	61.33
'yes'	63.67
'yes'	72.73
'yes'	64.20
'yes'	59.33
'yes'	66.73
'yes'	66.73
'yes'	17.60
'yes'	61.00
'yes'	61.60
'yes'	61.00
'yes'	57.67
'yes'	65.00
'yes'	59.73
'yes'	58.00
'yes'	65.67
'yes'	54.33
'yes'	63.67
'yes'	61.93
'yes'	65.00
'yes'	65.33
'yes'	64.67
'yes'	63.67
'yes'	73.00
'yes'	57.67
'yes'	65.67
'yes'	66.73
'yes'	58.00
'yes'	60.13
'yes'	66.00
'yes'	66.27
'yes'	68.87
'yes'	53.33
'yes'	59.80
'yes'	68.60
'yes'	61.00
'yes'	59.67
'yes'	58.33
'yes'	64.67
'yes'	68.80
'yes'	64.67
'yes'	63.33
'yes'	58.27
'yes'	60.67
'yes'	53.67
'yes'	68.07
'yes'	63.33
'yes'	61.67
'yes'	66.00
'yes'	60.00
'yes'	64.20
'yes'	69.87
'yes'	57.00
'yes'	66.00
'yes'	55.93
'yes'	65.67
'yes'	60.00
'yes'	64.00
'yes'	62.87
'yes'	59.80
'yes'	62.40
'yes'	65.00
'yes'	65.67
'yes'	65.07
'yes'	60.47
'yes'	58.33
'yes'	63.67
'yes'	61.33
'yes'	52.33
'yes'	53.67
'yes'	68.80
'yes'	67.47
'yes'	57.47
'yes'	63.67
'yes'	64.27
'yes'	72.87
'yes'	55.33
'yes'	71.33
'yes'	59.33
'yes'	60.33
'yes'	71.67
'yes'	52.67
'yes'	62.67
'yes'	66.93
'yes'	63.53
'yes'	67.07
'yes'	43.67
'yes'	60.00
'yes'	62.60
'yes'	60.00
'yes'	60.33
'yes'	57.80
'yes'	66.87
'yes'	61.33
'yes'	67.53
'yes'	56.67
'yes'	61.67
'yes'	70.80
'yes'	65.47
'yes'	59.67
'yes'	59.67
'yes'	54.00
'yes'	58.67
'yes'	60.00
'yes'	57.67
'yes'	37.93
'yes'	59.40
'yes'	59.53
'yes'	47.00
'yes'	58.67
'yes'	61.00
'yes'	66.53
'yes'	56.67
'yes'	4.33
'yes'	55.07
'yes'	63.33
'yes'	62.40
'yes'	56.67
'yes'	70.67
'yes'	63.73
'yes'	66.00
'yes'	66.00
'yes'	54.67
'yes'	65.20
'yes'	60.13
'yes'	66.67
'yes'	61.67
'yes'	60.80
'yes'	71.53
'yes'	70.80
'yes'	60.33
'yes'	63.20
'yes'	66.53
'yes'	64.67
'yes'	66.67
'yes'	54.67
'yes'	47.00

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135
R Engine error message	Error in as.vector(data) : object 'Pment' not found Calls: array -> as.vector 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Engine error message & Error in as.vector(data) : object 'Pment' not found
Calls: array -> as.vector
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86436&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Engine error message[/C][C]Error in as.vector(data) : object 'Pment' not found
Calls: array -> as.vector
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86436&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86436&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	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135
R Engine error message	Error in as.vector(data) : object 'Pment' not found Calls: array -> as.vector Execution halted

Parameters (Session):

par1 = 3 ; par2 = FALSE ; par3 = 0 ; par4 = 1 ; par5 = 2 ;

Parameters (R input):

par1 = 3 ; par2 = FALSE ; par3 = 0 ; par4 = 1 ; par5 = 2 ;

R code (references can be found in the software module):

par1 <- as.numeric(par1) # colour
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]
bitmap(file='test1.png')
r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, main='Reddy and Moores Placements Data', xlab='Placement Student', ylab='Degree Grade')
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')

Free Statistics

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code