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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, 26 Oct 2016 13:49:47 +0200
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/Oct/26/t14774826276sxg3j52fkg9dba.htm/, Retrieved Tue, 09 Aug 2022 20:41:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296683, Retrieved Tue, 09 Aug 2022 20:41:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [QQPlot and Histogram] [QQplot] [2016-10-26 11:49:47] [86c9a777e8dbb7ef3face68c75fc8376] [Current]
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Dataseries X:
88.6
71.6
93.3
84.3
80.6
75.2
69.7
82
69.4
83.3
79.6
82.6
80.6
83.5
76.3
Dataseries Y:
20
16
19.8
18.4
17.1
15.5
14.7
17.1
15.4
16.2
15
17.2
16
17
14.4




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=296683&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=296683&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296683&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 Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center







Descriptive Statistics
mean of X80.04
standard deviation of X6.70733074436364
mean of Y16.6533333333333
standard deviation of Y1.70204358961584

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
mean of X & 80.04 \tabularnewline
standard deviation of X & 6.70733074436364 \tabularnewline
mean of Y & 16.6533333333333 \tabularnewline
standard deviation of Y & 1.70204358961584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296683&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]mean of X[/C][C]80.04[/C][/ROW]
[ROW][C]standard deviation of X[/C][C]6.70733074436364[/C][/ROW]
[ROW][C]mean of Y[/C][C]16.6533333333333[/C][/ROW]
[ROW][C]standard deviation of Y[/C][C]1.70204358961584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296683&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296683&T=1

As an alternative you can also use a QR Code:  

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

Descriptive Statistics
mean of X80.04
standard deviation of X6.70733074436364
mean of Y16.6533333333333
standard deviation of Y1.70204358961584



Parameters (Session):
par1 = 0 ;
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')