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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationWed, 12 Dec 2012 11:19:37 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/12/t135532919020ymq0apk0481rr.htm/, Retrieved Sun, 28 Apr 2024 23:45:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198972, Retrieved Sun, 28 Apr 2024 23:45:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Multiple Regression] [Unemployment] [2010-11-30 13:40:15] [b98453cac15ba1066b407e146608df68]
- RMPD      [Mean versus Median] [mrmegem] [2012-12-12 16:19:37] [e357aba3893873b930815b56a53f1005] [Current]
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Dataseries X:
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21.199495967741400
27.367237903224700
42.389818548385200
23.628528225806400
-9.697278225805260
13.373689516130700
27.218850806451500
26.625302419354800
10.667237903225800
17.196270161289900
31.928528225806400
37.667916666667700
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88.838884408602100
117.161465053763000
161.600174731183000
133.874368279570000
198.845336021505000
186.790497311828000
171.796948924731000
202.538884408602000
158.667916666667000
168.200174731183000
190.739563172043000
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169.610530913978000
143.733111559140000
124.071821236559000
80.146014784946200
79.416982526881700
40.262143817204300
45.068595430107500
17.010530913978500
25.039563172043000
27.871821236559200
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104.041767473118000
88.683702956989200
70.112735215053700
95.944993279570000
83.684381720430200
75.787607526881700
58.055349462365600
22.977930107526900
20.416639784946200
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3.606962365591360
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24.555349462365600
42.984381720430100
29.016639784946300
15.556028225806500
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32.426995967741900
15.649576612903300
13.488286290322600
19.962479838709600
13.933447580645100
27.778608870967700
5.285060483870950
42.926995967741900
63.856028225806500
111.688286290323000
124.927674731183000
146.930900537634000
146.098642473118000
131.421223118280000
130.359932795699000
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109.405094086021000
88.450255376344000
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16.231579301075300
29.670967741935500
44.074193548387100
23.541935483871000
17.564516129032300
33.703225806451600
21.477419354838600
2.848387096774120
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180.574018817204000
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163.744986559140000
103.867567204301000
82.706276881720500
140.180470430107000
111.751438172043000
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103.444986559140000
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3.639213709677500
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33.374697580645200
15.116633064516200
9.945665322580720
17.077923387096900




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198972&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198972&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198972&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Median versus Mean
mean-5.49082415586529e-15
median-2.822496639785

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & -5.49082415586529e-15 \tabularnewline
median & -2.822496639785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198972&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]-5.49082415586529e-15[/C][/ROW]
[ROW][C]median[/C][C]-2.822496639785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198972&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198972&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-5.49082415586529e-15
median-2.822496639785



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')