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Author*Unverified author*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationSat, 25 Apr 2015 13:37:38 +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/2015/Apr/25/t14299654709o44exvl76wc4a7.htm/, Retrieved Thu, 09 May 2024 09:22:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=278947, Retrieved Thu, 09 May 2024 09:22:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean versus Median] [consumentenprijze...] [2015-04-25 12:37:38] [0793dda36b6d92f80d1980fc1d00d6bd] [Current]
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Dataseries X:
98,68
99,06
99,84
100,3
100,38
100,02
99,83
100,36
100,74
100,49
100,33
99,96
100,08
100,54
101,63
102,12
102,19
101,77
101,29
101,47
102,07
102,11
102,26
101,83
102,11
102,8
103,82
104,2
104,57
104,38
104,54
104,74
105,19
104,95
104,57
103,81
104,08
104,81
105,86
106,1
106,24
105,87
104,74
105,03
105,59
105,69
105,58
104,96
104,93
105,68
106,93
107,29
107,25
106,74
106,44
106,6
107,26
107,35
107,22
106,99
106,87
107,68
108,9
109,48
109,57
109,03
109,58
109,76
110,15
110,2
109,86
109,58
109,52
110,35
111,61
112,06
111,9
111,36
112,09
112,24
112,7
113,36
112,9
112,74
112,77
113,66
114,87
114,97
115
114,57
115,54
115,39
115,46
115,13
114,56
114,62




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278947&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278947&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Median versus Mean
mean106.711354166667
median105.985

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 106.711354166667 \tabularnewline
median & 105.985 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278947&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]106.711354166667[/C][/ROW]
[ROW][C]median[/C][C]105.985[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278947&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
mean106.711354166667
median105.985



Parameters (Session):
par1 = 0.01 ; par2 = 0.90 ; par3 = 0.01 ;
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')