Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationFri, 01 Dec 2017 15:56:14 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/01/t15121403433cf7675trstf8or.htm/, Retrieved Thu, 16 May 2024 01:28:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308432, Retrieved Thu, 16 May 2024 01:28:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
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] [] [2017-12-01 14:56:14] [0424453abe6dfdd5de162caa7aa6885d] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.38
0.8
0.11
0.72
0.37
0.41
0.1
0.92
0.89
0.42
0.45
0.11
0.84
0.41
0.36
0.38
0.45
0.78
0.45
0.76
0.11
0.38
0.09
0.46
0.4
0.89
0.82
0.4
0.41
0.38
0.09
0.45
0.4
0.45
0.84
0.1
0.38
0.45
0.11
0.41
0.87
0.45
0.4
0.1
0.09
0.84
0.4
0.57
0.4
0.43
0.13
0.44
0.38
0.39
0.1
0.37
0.11
0.1
0.38
0.85
0.85
0.11
0.1
0.36
0.11
0.81
0.43
0.9
0.76
0.43
0.74
0.09
0.45
0.09
0.11
0.11
0.1
0.4
0.43
0.39
0.45
0.38
0.79
0.84
0.11
0.11
0.17
0.44
0.37
0.1
0.4
0.89
0.42
0.46
0.09
0.37
0.1
0.1
0.11




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308432&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=308432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308432&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 time3 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean0.4080808080808080.0259521967082128
standard deviation0.2582210968999150.0183509742790645

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.408080808080808 & 0.0259521967082128 \tabularnewline
standard deviation & 0.258221096899915 & 0.0183509742790645 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308432&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.408080808080808[/C][C]0.0259521967082128[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.258221096899915[/C][C]0.0183509742790645[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308432&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
mean0.4080808080808080.0259521967082128
standard deviation0.2582210968999150.0183509742790645



Parameters (Session):
par2 = grey ; par3 = TRUE ; par4 = 5-point Likert ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
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')