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 softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationTue, 18 Oct 2011 18:32:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/18/t13189771828wi7f9phta6zsrz.htm/, Retrieved Sat, 27 Apr 2024 07:03:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132649, Retrieved Sat, 27 Apr 2024 07:03:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact336
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
- R PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2011-10-18 22:32:38] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- R         [Maximum-likelihood Fitting - Normal Distribution] [] [2011-12-22 21:10:14] [15bfeb8ba2dec978019010a9eeaecfc7]
- RMPD      [Central Tendency] [] [2011-12-23 15:35:18] [9b13650c94c5192ca5135ec8a1fa39f7]
- RMPD      [Mean versus Median] [] [2011-12-23 15:37:56] [9b13650c94c5192ca5135ec8a1fa39f7]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [Workshop 3 ] [2012-10-19 08:30:09] [b8fff3381cd5ab6dded5825409053f97]
- RMP       [Histogram] [1.3 Frequency plot] [2012-12-16 11:39:39] [ed906dce46ddef36a6228cf206971146]
- R         [Maximum-likelihood Fitting - Normal Distribution] [1.3 Fitted normal...] [2012-12-16 11:44:21] [ed906dce46ddef36a6228cf206971146]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [grafiek i2] [2014-10-15 10:33:59] [15866c21ed6246d5efde5ff3ba421193]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 11:22:16] [394a9522c47495260fca596e959e6202]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [WS3-task3-I2] [2014-10-15 12:33:12] [81f624c2f0b20a2549c93e7c3dccf981]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 12:48:00] [9b99fe494671b75fb711c2dc543f4e3e]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [WS3-task3-I3] [2014-10-15 13:06:29] [81f624c2f0b20a2549c93e7c3dccf981]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [WS3 task 3 I2] [2014-10-15 13:46:17] [67894a4ff6098ffac356bc81e6028257]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [ws3 task3i2a] [2014-10-15 13:49:21] [46c7ebd23dbdec306a09830d8b7528e7]
- RM D      [Maximum-likelihood Fitting - Normal Distribution] [WS3 task3i3] [2014-10-15 13:51:57] [46c7ebd23dbdec306a09830d8b7528e7]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [WS3-task3-E1] [2014-10-15 13:52:14] [81f624c2f0b20a2549c93e7c3dccf981]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [WS3-task3-E2] [2014-10-15 13:54:42] [81f624c2f0b20a2549c93e7c3dccf981]
- RM D      [Maximum-likelihood Fitting - Normal Distribution] [WS3 task3E2] [2014-10-15 13:57:32] [46c7ebd23dbdec306a09830d8b7528e7]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [P IM2 histogram] [2014-12-14 09:46:07] [46c7ebd23dbdec306a09830d8b7528e7]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 14:00:51] [eee95947b6243a1febfcd5f41483d733]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [Vraag 3] [2014-10-15 14:12:02] [36781f05c04c55e165b348994b753b95]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [Q3] [2014-10-15 14:13:28] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [Q3] [2014-10-15 14:14:54] [bcf5edf18529a33bd1494456d2c6cb9a]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [10] [2014-10-15 14:17:20] [e3727f74ca0896859afbe865e40a3465]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [question 3 WS3] [2014-10-15 14:17:39] [6795cd14e59cd8fafcdf800c40b889d9]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 14:20:16] [63554e339c9381d8e23ab848f4176daf]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 14:29:36] [ae96d02647dd9ad9c105f1fa6642e295]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [WS3 Question 3] [2014-10-15 14:37:47] [ce9f16fa58bb2303d66047ab4343b505]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 14:38:54] [fda96889f4ef6d31c0c28fd64d281011]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 14:47:38] [b007041690f75f30ec26eb43925b7b35]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [Task 3] [2014-10-15 15:26:11] [1651e47f7f65f3a10bbbb444d4b26be7]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [Task 3 WS3] [2014-10-15 15:44:05] [805021881bfa5340347077d26b077617]
- RMP       [Kernel Density Estimation] [Task 3.1 WS3] [2014-10-15 15:47:39] [805021881bfa5340347077d26b077617]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 16:01:37] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 16:12:19] [dacad244957cb51472792888970d4390]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [E3] [2014-10-15 16:21:02] [18108d1ac0353540c4304edbd3652e0f]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [histo] [2014-10-15 16:29:28] [18108d1ac0353540c4304edbd3652e0f]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [WS3 SHW] [2014-10-15 16:41:19] [cac6c5fb035463be46c296b46e439cb5]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 16:48:47] [5efa6717cfe6505454df834acc87b53b]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 16:57:37] [bca3c6529212edfac3e771806c79a908]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 17:30:05] [69bf0eb8b9b38defaaf4848d8c317571]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [Workshop 3 questi...] [2014-10-15 17:30:32] [a6b2572b29932aa41ecec373f1b28823]
-  M D        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-03 14:21:49] [a6b2572b29932aa41ecec373f1b28823]
- RMPD      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 17:38:10] [69bf0eb8b9b38defaaf4848d8c317571]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 18:35:27] [1a6d42b46b3d01bc960fcfb45e99fecd]
- RMP       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-15 19:04:14] [99723d3e379f668157309b7b2091b15d]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-16 13:55:13] [4c4ebb0b36a379d1d949ba77427e658a]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-16 14:48:24] [6656361aa4da5489a6a45e803df0211c]
- RM        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-16 15:46:28] [ce58fb8a0a6d5fe2eedf5e527a9cf2f2]

[Truncated]
Feedback Forum

Post a new message
Dataseries X:
21
16
19
18
16
23
17
12
19
16
19
20
13
20
27
17
8
25
26
13
19
15
5
16
14
24
24
9
19
19
25
19
18
15
12
21
12
15
28
25
19
20
24
26
25
12
12
15
17
14
16
11
20
11
22
20
19
17
21
23
18
17
27
25
19
22
24
20
19
11
22
22
16
20
24
16
16
22
24
16
27
11
21
20
20
27
20
12
8
21
18
24
16
18
20
20
19
17
16
26
15
22
17
23
21
19
14
17
12
24
18
20
16
20
22
12
16
17
22
12
14
23
15
17
28
20
23
13
18
23
19
23
12
16
23
13
22
18
23
20
10
17
18
15
23
17
17
22
20
20
19
18
22
20
22
18
16
16
16
16
17
18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132649&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132649&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







ParameterEstimated ValueStandard Deviation
mean18.5370370370370.34767269970282
standard deviation4.425151024679370.245841723593298

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 18.537037037037 & 0.34767269970282 \tabularnewline
standard deviation & 4.42515102467937 & 0.245841723593298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132649&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]18.537037037037[/C][C]0.34767269970282[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.42515102467937[/C][C]0.245841723593298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132649&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
mean18.5370370370370.34767269970282
standard deviation4.425151024679370.245841723593298



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
library(MASS)
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')
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$estimate[2])^2),min(x),max(x),add=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$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')