Home » date » 2011 » Nov » 15 »

W6 T5

*The author of this computation has been verified*

R Software Module: /rwasp_meanplot.wasp (opens new window with default values)

Title produced by software: Mean Plot

Date of computation: Tue, 15 Nov 2011 16:08:03 -0500

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj.htm/, Retrieved Fri, 24 May 2013 09:23:59 +0000

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

System-generated keywords (parent):

t1321197634j0kryoz1g4142m0 (pk = 141739)

Estimated Impact

Dataseries X:

» Textfile « » CSV « » Stem and Leaf « » Histogram « » Kernel Density « » Harrell-Davis Quantiles « » Central Tendency « » Variability «

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Charts produced by software:

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/1gkk11321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/1gkk11321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/2em2i1321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/2em2i1321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/3nk0o1321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/3nk0o1321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/42wy01321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/42wy01321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/51pma1321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/51pma1321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/6tiif1321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/6tiif1321391281.ps (opens in new window)

Click here to open pdf file.

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/74g8j1321391281.png (opens in new window)

http://www.freestatistics.org/blog/date/2011/Nov/15/t13213913039as8rttwyimcaxj/74g8j1321391281.ps (opens in new window)

Click here to open pdf file.

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()