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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_qqplot.wasp
Title produced by softwareQQPlot and Histogram
Date of computationMon, 06 Sep 2021 08:48:27 +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/2021/Sep/06/t1630910976tq4yw447dm8y9m3.htm/, Retrieved Sun, 28 Apr 2024 22:28:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319506, Retrieved Sun, 28 Apr 2024 22:28:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

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] [] [2021-09-06 06:48:27] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-3.95%
4.90%
1.58%
1.27%
3.83%
1.50%
-1.75%
0.18%
2.79%
1.81%
-1.37%
0.66%
2.48%
-1.99%
-0.68%
-3.80%
-2.35%
-3.08%
0.00%
1.47%
1.06%
3.20%
0.90%
-1.26%
0.97%
1.57%
1.07%
-2.81%
0.28%
1.41%
-3.14%
-0.11%
-4.88%
0.11%
-1.08%
0.00%
0.64%
3.12%
0.86%
0.78%
-0.62%
0.95%
-0.39%
-1.91%
1.53%
4.32%
0.80%
1.99%
-3.20%
-1.00%
0.89%
Dataseries Y:
Download CSV
Histogram 
0.00%
0.90%
1.49%
1.08%
4.27%
1.37%
0.25%
-1.64%
2.82%
1.91%
-1.36%
0.67%
2.42%
-2.00%
-0.69%
-3.70%
-4.09%
-5.78%
0.00%
1.41%
1.09%
3.24%
1.25%
0.85%
-1.43%
1.45%
1.09%
-3.16%
1.10%
1.39%
-3.75%
0.80%
-5.95%
-0.75%
-3.00%
0.00%
0.57%
2.70%
1.00%
3.06%
-2.09%
0.11%
0.98%
-1.06%
0.21%
4.36%
0.72%
1.92%
-5.88%
-1.59%
-1.59%

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319506&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319506&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319506&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 time1 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ;
Parameters (R input):
par1 = 10 ;
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')