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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_qqplot.wasp
Title produced by softwareQQPlot and Histogram
Date of computationWed, 30 Nov 2016 15:24:32 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/30/t14805159732cz7xrwlqyznkiw.htm/, Retrieved Sun, 19 May 2024 00:05:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297445, Retrieved Sun, 19 May 2024 00:05:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [QQPlot and Histogram] [QQ Plots] [2016-11-30 14:24:32] [aed32bb2e1132335210cb15bafce0db8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18
19
18
15
19
19
19
16
18
20
14
15
18
19
16
18
18
17
19
19
17
18
16
20
13
19
15
17
17
16
17
19
18
19
20
16
17
16
16
16
16
14
17
18
16
16
13
16
15
19
16
17
19
17
17
15
16
16
16
17
18
18
18
19
14
13
18
16
15
18
18
16
19
17
17
19
19
20
19
18
16
16
15
20
16
16
20
20
18
15
14
16
14
18
20
20
18
20
14
20
17
20
14
16
20
19
18
17
17
19
15
18
15
16
16
20
18
20
18
17
19
18
19
17
18
17
16
19
18
17
18
16
20
14
17
13
13
17
18
16
17.33333333
19
18.66666667
17
16
17
17
17
20
14
20
19
16
19
17
19
20
19
19
16
18
16
17
18
16
17
15
18
Dataseries Y:
Download CSV
Histogram 
10
13
14
12
12
13
13
13.5
13.5
14
14
12
12
11
12
14
12
11
13.5
13
12
13
12
13.5
12
12
12
13
13
10
12
13
13.5
10
14
12
10
10
14
12
14
10
13
12
12
13.5
12
10
9
14
15
13.5
8
11
10
12
14
12
12
14
13
13
13
12
10
14
11
10
13
12
12
10.5
10.5
13.5
12
13
11
10
14
13.5
7
13.5
13
13.5
15
13
14
12
13
11
12
14
13.5
14
12
12
13
14
13
12
13.5
12
10
12
13.5
12
13.5
12
12
12
10.5
12
9
14
12
13
13.5
13
11
12
11
12
12
13.5
12
13
13.5
12
12
8
12
13
10.5
8
12
13
9
12
15
14
10.5
11
12
10
14
10
15
11
12
9
12
13
12
9
12
14
10.5
12
14
12
15
11
12
12
10.5
12
10.5
11

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297445&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297445&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center






Descriptive Statistics
mean of X17.2559523809524
standard deviation of X1.80631450056491
mean of Y12.1488095238095
standard deviation of Y1.53751444548934

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
mean of X & 17.2559523809524 \tabularnewline
standard deviation of X & 1.80631450056491 \tabularnewline
mean of Y & 12.1488095238095 \tabularnewline
standard deviation of Y & 1.53751444548934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297445&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]mean of X[/C][C]17.2559523809524[/C][/ROW]
[ROW][C]standard deviation of X[/C][C]1.80631450056491[/C][/ROW]
[ROW][C]mean of Y[/C][C]12.1488095238095[/C][/ROW]
[ROW][C]standard deviation of Y[/C][C]1.53751444548934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297445&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
mean of X17.2559523809524
standard deviation of X1.80631450056491
mean of Y12.1488095238095
standard deviation of Y1.53751444548934


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 200 ; par2 = 5 ; par3 = 0 ; par4 = P1 P5 Q1 Q3 P95 P99 ;
Parameters (R input):
par1 = 0 ;
R code (references can be found in the software module):
library(car)
if(par1 == '') par1 <- 0
par1 <- as.numeric(par1)
if (par1 < 0) par1 <- 0
bitmap(file='test1.png')
if(par1 > 0) {
myhist<-hist(x, breaks=par1, col=2,main='Histogram (series X)')
} else {
myhist <- hist(x, col=2)
}
dev.off()
bitmap(file='test1a.png')
if(par1 > 0) {
myhist<-hist(y, breaks=par1, col=2,main='Histogram (series Y)')
} else {
myhist <- hist(y, col=2)
}
dev.off()
bitmap(file='test2.png')
qqPlot(x,main='Normal Q-Q Plot (series X)',ylab='Sample Quantiles',xlab='Normal Quantiles')
dev.off()
bitmap(file='test2a.png')
qqPlot(y,main='Normal Q-Q Plot (series Y)',ylab='Sample Quantiles',xlab='Normal Quantiles')
dev.off()
bitmap(file='test3.png')
qqplot(x,y,main='Q-Q Plot (series X vs Y)',ylab='Sample Quantiles of series Y',xlab='Sample Quantiles of series X')
qqline(x,y)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean of X',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation of X',header=TRUE)
a<-table.element(a,sd(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean of Y',header=TRUE)
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation of Y',header=TRUE)
a<-table.element(a,sd(y))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')