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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, 14 Dec 2016 16:39:40 +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/Dec/14/t148173029655he9ozbatekqdd.htm/, Retrieved Fri, 01 Nov 2024 03:44:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299577, Retrieved Fri, 01 Nov 2024 03:44:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [histogrammn] [2016-12-14 15:39:40] [11b61e09f442d73f657668491c17a736] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
13
14
NA
NA
13
NA
NA
NA
14
14
12
12
11
12
14
NA
NA
NA
NA
13
NA
13
NA
NA
NA
12
12
13
13
10
12
13
NA
10
14
NA
10
10
14
NA
14
10
13
12
12
NA
12
10
NA
14
NA
NA
8
11
10
NA
14
12
NA
14
13
13
13
12
10
14
11
10
13
NA
NA
NA
NA
NA
12
13
11
10
14
NA
7
NA
13
NA
15
13
14
NA
13
11
NA
14
NA
14
NA
12
13
14
13
NA
NA
12
10
NA
NA
NA
NA
NA
12
NA
NA
NA
9
NA
12
13
NA
13
11
12
11
NA
12
NA
12
13
NA
NA
NA
8
NA
13
NA
8
NA
13
NA
12
15
14
NA
11
NA
10
14
10
15
11
NA
NA
12
13
12
9
NA
14
NA
NA
14
12
15
11
NA
NA
NA
12
NA
11
Dataseries Y:
Download CSV
Histogram 
10
15
13
13
11
15
12
15
14
12
15
NA
15
14
11
11
15
NA
12
11
12
8
14
14
14
12
14
13
14
14
NA
14
15
3
14
13
12
12
14
13
12
13
NA
15
15
5
9
11
12
NA
14
15
12
13
15
12
14
12
12
10
11
13
13
13
13
12
10
12
10
13
11
15
9
10
14
10
15
13
10
13
15
12
11
13
15
11
14
14
15
13
12
12
15
12
15
14
14
12
15
15
9
14
15
15
NA
13
12
12
15
14
10
11
10
13
11
14
13
13
15
13
11
11
14
15
13
13
13
13
11
14
14
13
15
12
12
12
13
7
12
14
15
15
12
13
13
13
14
15
13
14
12
13
9
11
13
13
11
10
15
14
13
13
15
14
15
14
12
13
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=299577&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=299577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299577&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 XNA
standard deviation of XNA
mean of YNA
standard deviation of YNA

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
mean of X & NA \tabularnewline
standard deviation of X & NA \tabularnewline
mean of Y & NA \tabularnewline
standard deviation of Y & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299577&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]mean of X[/C][C]NA[/C][/ROW]
[ROW][C]standard deviation of X[/C][C]NA[/C][/ROW]
[ROW][C]mean of Y[/C][C]NA[/C][/ROW]
[ROW][C]standard deviation of Y[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299577&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 XNA
standard deviation of XNA
mean of YNA
standard deviation of YNA


Figures (Output of Computation)

Input Parameters & R Code

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')