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Author's title

Author

*Unverified author*

R Software Module

Ian.Hollidayrwasp_Reddy-Moores DAta.wasp

Title produced by software

Histogram and QQPlot (Reddy-Moores Data)

Date of computation

Tue, 19 Oct 2010 13:01:27 +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/t1287493274cnj8q6iqt2vn15h.htm/, Retrieved Sun, 28 Apr 2024 21:08:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86361, Retrieved Sun, 28 Apr 2024 21:08:57 +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)

-     [Histogram and QQplot] [PY2224 Aston Work...] [2009-10-06 09:57:09] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P   [Histogram and QQplot] [olivia friday] [2009-10-09 12:41:21] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RMPD    [Histogram and QQplot] [Reddy Moores Hist...] [2009-10-09 13:23:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R         [Histogram and QQPlot (Reddy-Moores Data)] [Reddy Moores Hist...] [2010-10-13 14:59:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D          [Histogram and QQPlot (Reddy-Moores Data)] [COMPENDIUM 2] [2010-10-19 13:01:27] [6defc5e19d0bba1c99310bca6511c2f6] [Current]

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86361&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86361&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86361&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	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Parameters (Session):

par1 = 10 ;

Parameters (R input):

par1 = 10 ;

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

bitmap(file='test1.png')
par1 <- as.numeric(par1)
myhist<-hist(x, breaks=par1, col=2, xlab=xlab,  main=main)
dev.off()
bitmap(file='test2.png')
qqnorm(x)
qqline(x, col=2)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,hyperlink('arithmetic_mean.htm','formula','click to see the formula'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,sd(x))
a<-table.element(a,hyperlink('unbiased1.htm','formula','click to see the formula'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code