gemiddelde versus mediaan- Wouters Danai | ||||||||||||||||||||||||||||||||
| R Software Module: rwasp_meanversusmedian.wasp (opens new window with default values) | ||||||||||||||||||||||||||||||||
| Title produced by software: Mean versus Median | ||||||||||||||||||||||||||||||||
| Date of computation: Mon, 21 Apr 2008 08:22:02 -0600 | ||||||||||||||||||||||||||||||||
| Cite this page as follows: | ||||||||||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Apr/21/t120878783486yb0wp75dff84i.htm/, Retrieved Mon, 21 Apr 2008 16:23:56 +0200 | ||||||||||||||||||||||||||||||||
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| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||||||||
| 411013 412218 492982 501175 506949 491951 565441 575772 572507 548752 621486 615237 588119 552118 624447 615482 595130 526883 562254 545427 522084 483414 528797 532749 511380 472941 516118 502940 476118 432418 475525 453638 431417 390934 436414 418451 399528 367749 423433 420450 415906 392949 453203 455926 451879 434996 498811 505940 517395 508456 585132 587971 584027 557196 613433 600049 588993 559271 622580 616645 603243 557949 608882 582930 570492 542907 598067 568717 551773 514465 569055 528897 515229 481141 535612 498547 478587 445911 503412 469797 458365 436761 502205 481627 473698 457200 521671 513354 515369 505652 575676 555865 559504 540994 605635 600315 588224 569861 625950 601554 587760 573307 621764 570214 547034 511873 553870 | ||||||||||||||||||||||||||||||||
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| Output produced by software: | ||||||||||||||||||||||||||||||||
| Charts produced by software: |
| 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') | Copyright
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