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Author*The author of this computation has been verified*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationThu, 30 Oct 2014 17:22:55 +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/2014/Oct/30/t14146898498tceki42dvo4oqb.htm/, Retrieved Fri, 01 Nov 2024 00:07:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=250206, Retrieved Fri, 01 Nov 2024 00:07:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean versus Median] [] [2014-10-30 17:22:55] [4897fbbb7461c8caec7645a3718e7cbe] [Current]
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Dataseries X:
255.00
280.20
299.90
339.20
374.20
393.50
389.20
381.70
375.20
369.00
357.40
352.10
346.50
342.90
340.30
328.30
322.90
314.30
308.90
294.00
285.60
281.20
280.30
278.80
274.50
270.40
263.40
259.90
258.00
262.70
284.70
311.30
322.10
327.00
331.30
333.30
321.40
327.00
320.00
314.70
316.70
314.40
321.30
318.20
307.20
301.30
287.50
277.70
274.40
258.80
253.30
251.00
248.40
249.50
246.10
244.50
243.60
244.00
240.80
249.80
248.00
259.40
260.50
260.80
261.30
259.50
256.60
257.90
256.50
254.20
253.30
253.80
255.50
257.10
257.30
253.20
252.80
252.00
250.70
252.20
250.00
251.00
253.40
251.20
255.60
261.10
258.90
259.90
261.20
264.70
267.10
266.40
267.70
268.60
267.50
268.50
268.50
270.50
270.90
270.10
269.30
269.80
270.10
264.90
263.70
264.80
263.70
255.90
276.20
360.10
380.50
373.70
369.80
366.60
359.30
345.80
326.20
324.50
328.10
327.50
324.40
316.50
310.90
301.50
291.70
290.40
287.40
277.70
281.60
288.00
276.00
272.90
283.00
283.30
276.80
284.50
282.70
281.20
287.40
283.10
284.00
285.50
289.20
292.50
296.40
305.20
303.90
311.50
316.30
316.70
322.50
317.10
309.80
303.80
290.30
293.70
291.70
296.50
289.10
288.50
293.80
297.70
305.40
302.70
302.50
303.00
294.50
294.10
294.50
297.10
289.40
292.40
287.90
286.60
280.50
272.40
269.20
270.60
267.30
262.50
266.80
268.80
263.10
261.20
266.00
262.50
265.20
261.30
253.70
249.20
239.10
236.40
235.20
245.20
246.20
247.70
251.40
253.30
254.80
250.00
249.30
241.50
243.30
248.00
253.00
252.90
251.50
251.60
253.50
259.80
334.10
448.00
445.80
445.00
448.20
438.20
439.80
423.40
410.80
408.40
406.70
405.90
402.70
405.10
399.60
386.50
381.40
375.20
357.70
359.00
355.00
352.70
344.40
343.80
338.00
339.00
333.30
334.40
328.30
330.70
330.00
331.60
351.20
389.40
410.90
442.80
462.80
466.90
461.70
439.20
430.30
416.10
402.50
397.30
403.30
395.90
387.80
378.60
377.10
370.40
362.00
350.30
348.20
344.60
343.50
342.80
347.60
346.60
349.50
342.10
342.00
342.80
339.30
348.20
333.70
334.70
354.00
367.70
363.30
358.40
353.10
343.10
344.60
344.40
333.90
331.70
324.30
321.20
322.40
321.70
320.50
312.80
309.70
315.60
309.70
304.60
302.50
301.50
298.80
291.30
293.60
294.60
285.90
297.60
301.10
293.80
297.70
292.90
292.10
287.20
288.20
283.80
299.90
292.40
293.30
300.80
293.70
293.10
294.40
292.10
291.90
282.50
277.90
287.50
289.20
285.60
293.20
290.80
283.10
275.00
287.80
287.80
287.40
284.00
277.80
277.60
304.90
294.00
300.90
324.00
332.90
341.60
333.40
348.20
344.70
344.70
329.30
323.50
323.20
317.40
330.10
329.20
334.90
315.80
315.40
319.60
317.30
313.80
315.80
311.30




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=250206&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=250206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=250206&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'George Udny Yule' @ yule.wessa.net







Median versus Mean
mean308.350833333333
median296.45

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 308.350833333333 \tabularnewline
median & 296.45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=250206&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]308.350833333333[/C][/ROW]
[ROW][C]median[/C][C]296.45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=250206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=250206&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
mean308.350833333333
median296.45



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')