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Description of Statistical Computation

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 computationMon, 04 Oct 2010 21:30:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/04/t1286227860qkz8dfs9b0f031o.htm/, Retrieved Sun, 28 Apr 2024 05:12:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81239, Retrieved Sun, 28 Apr 2024 05:12:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Pearson Correlation] [Screen dimensions] [2010-09-25 10:10:17] [b98453cac15ba1066b407e146608df68]
F RM D    [Mean versus Median] [] [2010-10-04 21:30:53] [297722d8c88c4886be8e106c47d8f3cc] [Current]
Feedback Forum
2010-10-07 17:55:38 [536303b3a93229de4a593d72b4a11cb3] [reply] 
Geeft geen grafiek weer. Een voorbeeld mean versus median kan je met de volgende link bekijken https://automated.biganalytics.eu/rwasp_meanversusmedian.wasp.
2010-10-11 16:32:50 [4d4f7d38b8a37a3fb90a9939352fc7e6] [reply] 
https://automated.biganalytics.eu/rwasp_meanversusmedian.wasp

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1024
1024	1050
1024	1050
1024	1050
1024	1050
1024	1080
1024	1200
1024	1200
1024	1440
1024	550
1024	640
1024	641
1117	698
1120	700
1140	735
1143	735
1152	737
1152	768
1176	768
1176	768
1257	768
1280	768
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1280	768
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1280	768
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1280	768
1280	768
1280	768
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1280	768
1280	768
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1280	800
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1408	800
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1440	800
1440	800
1440	845
1440	857
1440	864
1440	864
1440	880
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1600	900
1600	900
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1680	900
1680	900
1688	900
1760	900
1920	900
1920	900
2560	900
917	949
983	990

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81239&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81239&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81239&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Figures (Output of Computation)

Input Parameters & R Code

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')