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WS6Q5SCHEID

R Software Module: rwasp_fitdistrnorm.wasp (opens new window with default values)
Title produced by software: Maximum-likelihood Fitting - Normal Distribution
Date of computation: Sun, 04 Nov 2007 07:38:52 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/04/w545i4zo8kocr6i1194187043.htm/, Retrieved Sun, 04 Nov 2007 15:37:24 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
2529 2196 3202 2718 2728 2354 2697 2651 2067 2641 2539 2294 2712 2314 3092 2677 2813 2668 2939 2617 2231 2481 2421 2408 2560 2100 3315 2801 2403 3024 2507 2980 2211 2471 2594 2452 2232 2373 3127 2802 2641 2787 2619 2806 2193 2323 2529 2412 2262 2154 3230 2295 2715 2733 2317 2730 1913 2390 2484 1960
 
Text written by user:
 
Output produced by software:


Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


ParameterEstimated ValueStandard Deviation
mean2557.2333333333339.917333791688
standard deviation309.19833800042028.2258174109895
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/w545i4zo8kocr6i1194187043/1xmy91194187130.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/w545i4zo8kocr6i1194187043/1xmy91194187130.ps (open in new window)


 
Parameters:
par1 = 8 ; par2 = 0 ;
 
R code (references can be found in the software module):
library(MASS)
par1 <- as.numeric(par1)
if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
r <- fitdistr(x,'normal')
r
bitmap(file='test1.png')
myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$estimate[1])
a<-table.element(a,r$sd[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,r$estimate[2])
a<-table.element(a,r$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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