Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_fitdistrweibull.wasp
Title produced by softwareMaximum-likelihood Fitting - Weibull Distribution
Date of computationSun, 18 Apr 2010 09:00:30 +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/t1271581290o4bfet5qe7h6608.htm/, Retrieved Tue, 28 Nov 2023 23:12:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74655, Retrieved Tue, 28 Nov 2023 23:12:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsB611,steven,coomans,weibull,thesis
Estimated Impact222
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Weibull Distribution] [B611,steven,cooma...] [2010-04-18 09:00:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
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 2 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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74655&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]2 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=74655&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74655&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 2 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

 Parameter Estimated Value Standard Deviation shape 1.00560698219678 0.10691847919641 scale 35.1329895388747 4.72915795214837

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
shape & 1.00560698219678 & 0.10691847919641 \tabularnewline
scale & 35.1329895388747 & 4.72915795214837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74655&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]shape[/C][C]1.00560698219678[/C][C]0.10691847919641[/C][/ROW]
[ROW][C]scale[/C][C]35.1329895388747[/C][C]4.72915795214837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74655&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74655&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 shape 1.00560698219678 0.10691847919641 scale 35.1329895388747 4.72915795214837

library(MASS)PPCCWeibull <- function(shape, scale, x){x <- sort(x)pp <- ppoints(x)cor(qweibull(pp, shape=shape, scale=scale), 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(qweibull(ppoints(x), shape=i/10,scale=2),sortx)}bitmap(file='test1.png')plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull')dev.off()f<-fitdistr(x, 'weibull')f$estimatef$sdxlab <- paste('Weibull(shape=',round(f$estimate[[1]],2))xlab <- paste(xlab,', scale=')xlab <- paste(xlab,round(f$estimate[[2]],2))xlab <- paste(xlab,')')bitmap(file='test2.png')qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', 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,'shape',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,'scale',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')