Opgave 6-oefening 2-mean plot-veerle van rompay | ||||||||||||||||||||||||||||||||||||||||||||
| *Unverified author* | ||||||||||||||||||||||||||||||||||||||||||||
| R Software Module: rwasp_meanplot.wasp (opens new window with default values) | ||||||||||||||||||||||||||||||||||||||||||||
| Title produced by software: Mean Plot | ||||||||||||||||||||||||||||||||||||||||||||
| Date of computation: Sat, 29 Nov 2008 05:48:41 -0700 | ||||||||||||||||||||||||||||||||||||||||||||
| Cite this page as follows: | ||||||||||||||||||||||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/29/t1227962975y00ta9ivwopuxny.htm/, Retrieved Sat, 29 Nov 2008 12:49:35 +0000 | ||||||||||||||||||||||||||||||||||||||||||||
| BibTeX entries for LaTeX users: | ||||||||||||||||||||||||||||||||||||||||||||
@Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Nov/29/t1227962975y00ta9ivwopuxny.htm/},
year = {2008},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2008},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
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| Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data) | ||||||||||||||||||||||||||||||||||||||||||||
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Post a new message | ||||||||||||||||||||||||||||||||||||||||||||
| Original text written by user: | ||||||||||||||||||||||||||||||||||||||||||||
| IsPrivate? | ||||||||||||||||||||||||||||||||||||||||||||
| No (this computation is public) | ||||||||||||||||||||||||||||||||||||||||||||
| User-defined keywords: | ||||||||||||||||||||||||||||||||||||||||||||
| Dataseries X: | ||||||||||||||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||||||||||||||||||||
| 113,9000 112,0000 113,8500 113,0800 111,7200 110,6900 113,5300 113,9900 112,7400 112,1500 115,8200 118,3800 118,8100 123,8500 117,9600 120,1600 118,7400 119,8400 124,8100 121,3300 120,2000 118,3200 129,5800 130,2000 127,1900 133,1000 129,1200 123,2800 123,3600 124,1300 126,9700 127,1400 123,7000 123,6700 130,1900 134,0100 124,9600 129,9600 128,3200 132,3800 126,2500 128,9100 131,4200 129,4400 126,8600 126,7100 131,6300 132,7800 126,6100 132,8400 123,1400 128,1300 125,4900 126,4800 130,8600 127,3200 126,5600 126,6400 129,2600 126,4700 135,4000 135,5000 132,2200 122,6200 125,1600 128,5000 133,8600 128,8700 125,0700 125,2500 132,1600 130,2400 | ||||||||||||||||||||||||||||||||||||||||||||
| Output produced by software: | ||||||||||||||||||||||||||||||||||||||||||||
| Charts produced by software: |
| Parameters (Session): | par1 = 12 ; | | Parameters (R input): | par1 = 12 ; | | R code (references can be found in the software module): | par1 <- as.numeric(par1)
| (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np+1)) darr <- array(NA,dim=c(par1,np+1)) ari <- array(0,dim=par1) dx <- diff(x) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] darr[j,ari[j]] <- dx[i] if (j == par1) j = 0 } ari arr darr arr.mean <- array(NA,dim=par1) arr.median <- array(NA,dim=par1) arr.midrange <- array(NA,dim=par1) for (j in 1:par1) { arr.mean[j] <- mean(arr[j,],na.rm=TRUE) arr.median[j] <- median(arr[j,],na.rm=TRUE) arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 } overall.mean <- mean(x) overall.median <- median(x) overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 bitmap(file='plot1.png') plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.mean,0) dev.off() bitmap(file='plot2.png') plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.median,0) dev.off() bitmap(file='plot3.png') plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.midrange,0) dev.off() bitmap(file='plot4.png') z <- data.frame(t(arr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) dev.off() bitmap(file='plot4b.png') z <- data.frame(t(darr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries')) dev.off() bitmap(file='plot5.png') z <- data.frame(arr) names(z) <- c(1:np) (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) dev.off() bitmap(file='plot6.png') z <- data.frame(cbind(arr.mean,arr.median,arr.midrange)) names(z) <- list('mean','median','midrange') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots')) dev.off() | Copyright
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