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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_meanversusmedian.wasp

Title produced by software

Mean versus Median

Date of computation

Tue, 12 Dec 2017 16:13:37 +0100

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/2017/Dec/12/t151309171194r75d0cgbhhg39.htm/, Retrieved Wed, 15 May 2024 14:38:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309129, Retrieved Wed, 15 May 2024 14:38:54 +0000

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Original text written by user:

zie Word-document

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)

-       [Mean versus Median] [Gemiddelde GDP pe...] [2017-12-12 15:13:37] [0624292ea623603b59620a7164665963] [Current]

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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	Big 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309129&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]

3 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309129&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309129&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	Big Analytics Cloud Computing Center

Median versus Mean
mean	33872.7428571429
median	35327.5

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 33872.7428571429 \tabularnewline
median & 35327.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309129&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]33872.7428571429[/C][/ROW]
[ROW][C]median[/C][C]35327.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309129&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309129&T=1

As an alternative you can also use a QR Code:

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

Median versus Mean
mean	33872.7428571429
median	35327.5

Figure 1

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Postscript link

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Parameters (Session):

par1 = 0.950.950.950.9595 ; par2 = 5033872,7433872,7433872,7433872,74 ;

Parameters (R input):

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

library(Hmisc)
m <- mean(x)
e <- median(x)
bitmap(file='test1.png')
op <- par(mfrow=c(2,1))
mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE)
plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density')
abline(v=e,lty=1)
abline(v=m,lty=5)
grid()
myseq <- seq(0.01, 0.99, 0.01)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)')
abline(h=m,lty=5)
abline(h=e,lty=1)
grid()
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Median versus Mean',2,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.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

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