## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_fitdistrlnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Lognormal Distribution
Date of computationSun, 18 Apr 2010 08:52:54 +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/2010/Apr/18/t12715809665aipoaf7mdxee9p.htm/, Retrieved Tue, 28 Nov 2023 23:22:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74654, Retrieved Tue, 28 Nov 2023 23:22:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsb611,steven,coomans,lognormal,thesis
Estimated Impact232
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Lognormal Distribution] [b611,steven,cooma...] [2010-04-18 08:52:54] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
46,426
46,855
153,135
64
31
2,25
2,25
2,3
22,6
1,5
10,65
34
81,75
106,5
0,525
24,025
5,25
9
12,8
25,05
0,3
75,75
54,75
1,526
30,993
3,752
17,25
9,2
50,25
2,25
3,95
60
55,8
6,75
61,95
7,025
85,75
18,525
6
25,35
46,775
51,025
30
3
30
44
80,75
27,5
39,725
29,25
32,725
56,25
28,65
51,75
32,26
72
65,4
33,75
77,85
10,875

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74654&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74654&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74654&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Parameter Estimated Value Standard Deviation meanlog 2.94364572568189 0.178426102199650 sdlog 1.38208264469589 0.126166306806056

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
meanlog & 2.94364572568189 & 0.178426102199650 \tabularnewline
sdlog & 1.38208264469589 & 0.126166306806056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74654&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]meanlog[/C][C]2.94364572568189[/C][C]0.178426102199650[/C][/ROW]
[ROW][C]sdlog[/C][C]1.38208264469589[/C][C]0.126166306806056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74654&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74654&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Parameter Estimated Value Standard Deviation meanlog 2.94364572568189 0.178426102199650 sdlog 1.38208264469589 0.126166306806056

library(MASS)PPCC <- function(meanlog, sdlog, x){x <- sort(x)pp <- ppoints(x)cor(qlnorm(pp, meanlog=meanlog, sdlog=sdlog), x)}par1 <- as.numeric(par1)par2 <- as.numeric(par2)if (par1 < 0.1) par1 <- 0.1if (par1 > 50) par1 <- 50if (par2 < 0.1) par2 <- 0.1if (par2 > 50) par2 <- 50par1h <- par1*10par2h <- par2*10sortx <- sort(x)c <- array(NA,dim=c(par2h))for (i in par1h:par2h){c[i] <- cor(qlnorm(ppoints(x), meanlog=0,sdlog=i/10),sortx)}bitmap(file='test1.png')plot((par1h:par2h)/10,c[par1h:par2h],xlab='sdlog',ylab='correlation',main='PPCC Plot - Lognormal')dev.off()(f<-fitdistr(x, 'lognormal'))xlab <- paste('Lognormal(meanlog=',round(f$estimate[[1]],2))xlab <- paste(xlab,', sdlog=')xlab <- paste(xlab,round(f$estimate[[2]],2))xlab <- paste(xlab,')')bitmap(file='test2.png')qqplot(qlnorm(ppoints(x), meanlog=f$estimate[[1]], sdlog=f$estimate[[2]]), x, main='QQ plot (Lognormal)', xlab=xlab )grid()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,'meanlog',header=TRUE)a<-table.element(a,f$estimate[1])a<-table.element(a,f$sd[1])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'sdlog',header=TRUE)a<-table.element(a,f$estimate[2])a<-table.element(a,f$sd[2])a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable.tab')