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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrlnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Lognormal Distribution
Date of computationMon, 02 Aug 2010 08:50:56 +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/Aug/02/t1280739067xp4iayjxs4mrn1k.htm/, Retrieved Thu, 02 May 2024 05:22:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78208, Retrieved Thu, 02 May 2024 05:22:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Lognormal Distribution] [] [2010-08-02 08:50:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.94 
0.82 
0.91 
3.84 
2.06 
0.95 
1.81 
0.84 
0.66 
1.78 
0.44 
0.24 
0.55 
1.35 
1.75 
0.05 
1.29 
0.83 
0.69 
1.11 
1.81 
0.58 
1.24 
0.78 
0.68 
1.29 
3.57 
1.80 
2.07 
2.39 
6.93 
2.22 
1.13 
2.14 
5.95 
1.92

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78208&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78208&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 1.5 ;
Parameters (R input):
par1 = 0.1 ; par2 = 1.5 ;
R code (references can be found in the software module):
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 <- 0.1
if (par1 > 50) par1 <- 50
if (par2 < 0.1) par2 <- 0.1
if (par2 > 50) par2 <- 50
par1h <- par1*10
par2h <- par2*10
sortx <- 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')