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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationSun, 14 Jun 2020 16:32:35 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Jun/14/t15921457017jxqlawrir149mq.htm/, Retrieved Sat, 20 Apr 2024 03:48:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319176, Retrieved Sat, 20 Apr 2024 03:48:27 +0000
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Original text written by user:Difference between actual and predicted loudspeaker preference scores in the Sean Olive study (generalized model): http://www.aes.org/e-lib/browse.cfm?elib=12847 (Figure 5) Figure digitized by Sancus: https://www.audiosciencereview.com/forum/index.php?threads/master-preference-ratings-for-loudspeakers.11091/page-13#post-343941
IsPrivate?No (this computation is public)
User-defined keywordsolive,speaker,loudspeaker,preference,rating,error
Estimated Impact214
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [ML Fitting and QQ Plot- Normal Distribution] [Olive Loudspeaker...] [2020-06-14 14:32:35] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
-1.766
-1.587
-1.349
-1.216
-1.202
-1.191
-1.148
-1.037
-0.972
-0.954
-0.9249
-0.889
-0.845
-0.81
-0.764
-0.738
-0.67
-0.628
-0.626
-0.561
-0.546
-0.485
-0.479
-0.46
-0.449
-0.417
-0.399
-0.376
-0.334
-0.325
-0.296
-0.296
-0.293
-0.29
-0.242
-0.214
-0.065
-0.062
-0.06
-0.059
0.005
0.018
0.05
0.051
0.083
0.091
0.118
0.134
0.158
0.193
0.266
0.274
0.285
0.29
0.349
0.506
0.561
0.564
0.649
0.695
0.726
0.741
0.771
0.915
0.969
0.976
0.992
1.022
1.149
1.211
1.52
1.623
2.406
2.518
2.568




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319176&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319176&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319176&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean-0.007705333333333330.102669184469444
standard deviation0.8891412193636940.0725980765572365

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -0.00770533333333333 & 0.102669184469444 \tabularnewline
standard deviation & 0.889141219363694 & 0.0725980765572365 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319176&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-0.00770533333333333[/C][C]0.102669184469444[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.889141219363694[/C][C]0.0725980765572365[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319176&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319176&T=1

As an alternative you can also use a QR Code:  

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

ParameterEstimated ValueStandard Deviation
mean-0.007705333333333330.102669184469444
standard deviation0.8891412193636940.0725980765572365



Parameters (Session):
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
par2 <- '0'
par1 <- '8'
library(MASS)
library(car)
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')
print(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$estimate[2])^2),min(x),max(x),add=T)
dev.off()
bitmap(file='test3.png')
qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$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')