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Author's title

Author*Unverified author*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationTue, 18 Oct 2011 10:36:04 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/18/t1318948644u9n8kl2f29gs0di.htm/, Retrieved Thu, 16 May 2024 04:20:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132074, Retrieved Thu, 16 May 2024 04:20:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W52a
Estimated Impact70
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean versus Median] [Gemiddelde consum...] [2011-10-18 14:36:04] [bd8cebb9d7961275d2f6ed94788b7e5f] [Current]
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Dataseries X:
20.98		
20.1		
20.61		
20.27		
20.08		
23.58		
22.31		
22.89		
21.78		
22.19		
22.58		
22.78		
25.06		
25.16		
25.47		
25.34		
24.2		
25.32		
25.57		
25.76		
24.79		
23.14		
22.66		
22.06		
24.26		
23.15		
22.92		
21.43		
21.56		
23.48		
24.35		
24.83		
24.19		
23.58		
23.58		
24.35		
27.18		
25.69		
24.81		
23.26		
23.49		
26.86		
27.12		
27.66		
26.26		
25.51		
24.63		
23.57		
27.63		
25.85		
26.09		
24.47		
24.19		
25.09		
25.26		
25.58		
24.76		
25.02		
24.24		
24.14		
28.69		
26.74		
26.48		
24.45		
23.88		
26.58		
26.23		
28.63		
26.81		
26.56		
26.64		
26.8		
28.37		
27.13		
28.44		
28.62		
27.28		
31.32		
31.26		
31.41		
31.76		
32.72		
32.15		
33.62		
35.97		
33.78		
33.77		
32.75		
32.55		
33.22		
32.88		
31.56		
30.27		
28.65		
27.89		
27.07		
30.8		
28.38		
27.5		
28		
28.02		
29.2		
27.59		
27.22		
27.16		
26.31		
25.67		
26.41		
28.34		
25.43		
23.72		
23.33		
23.8		
27.7		
26.28		
27.51		
27.93		
28.76		
28.65		
29.52		
31.23		
27.9		
27.87		
27.52		
27.59		
31.2		
30.22		
30.62		
31.52		
30.59		
31.42		
31.95		




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132074&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132074&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132074&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Median versus Mean
mean26.6705303030303
median26.445

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 26.6705303030303 \tabularnewline
median & 26.445 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132074&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]26.6705303030303[/C][/ROW]
[ROW][C]median[/C][C]26.445[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132074&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132074&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
mean26.6705303030303
median26.445



Parameters (Session):
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')