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Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrchisq1.wasp
Title produced by softwareMaximum-likelihood Fitting - Chi-squared Distribution
Date of computationSun, 08 Nov 2015 15:40:23 +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/2015/Nov/08/t1446997265ek9dd4z2zu41q17.htm/, Retrieved Tue, 14 May 2024 04:16:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283253, Retrieved Tue, 14 May 2024 04:16:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Chi-squared Distribution] [] [2015-11-08 15:40:23] [7b81fac622814275349f5d25cf6bd6bd] [Current]
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Dataseries X:
0.9166135835
0.06341588222
1.226464806
0.0000007564796232
0.2064223386
0.1751768905
0.3054236114
0.4056870806
3.41218098
0.832921117
1.039803714
0.05144363466
0.03461377428
1.634359928
0.00007875824891
1.030996798
1.06829989
0.2527804328
0.003465477602
0.3062908396
1.542727887
0.2397831559
0.1471625813
0.2176752708
0.1381937683
0.01750906108
0.1156089887
2.642471915
0.03827906616
0.4156836149
0.4894988776
0.2222021615
0.06496244106
0.9152232964
0.04880130533
0.02714360045
0.001004628352
0.0003291586285
0.366474118
1.262431272
3.123021906
0.2164502883
0.04506429186
0.003820554404
0.2478023212
0.02196523863
0.03452672731
0.06509148528
0.05365940765
3.883717382
0.1350186584
0.3708739235
2.195566158
0.4630449556
0.6797621467
4.698836017
0.5523849051
5.038438585
1.972462985
0.361365576
1.750163815
0.2386730574
0.1714849777
0.06096457823
0.1850339512
0.47148681
3.549322057
0.7354809418
0.6210854945
0.1688232137
0.009937487252
6.643532439
0.002199061125
1.145708817
0.6160839229
0.1349411023
0.2267947952
1.479021472
0.2856113582
0.06667987549
0.6165794549
0.1879780397
1.051960035
0.05695207072
1.387859112
1.377540937
0.01152303823
0.7585871837
0.6224156729
0.5959377074
0.01041396806
1.376179849
1.011438634
0.02684051137
2.418037288
1.809000122
0.7638663073
0.1576509404
0.2450331088
3.821843979
0.9076394469
0.001081493763
0.1902367407
0.03745810536
0.7360701769
2.381273139
0.002702711772
0.1268437154
0.9549278166
0.8381949382
1.383584415
0.0597018355
3.876293045
0.4252552949
0.7429731866
2.921042902
0.3281316877
0.6168582777
0.1569063548
0.1369322552
2.370562086
0.02797022888
0.2294862053
0.1658656958
0.1080917954
1.992457177
3.219028034
1.485268346
0.0006745733482
0.01357362759
1.115643388
0.450992197
0.9391289633
0.5500855203
1.23999293
1.114515128
0.01283333904
1.514313979
3.997033887
0.1565561824
0.0225693646
0.08815282391
0.01556153873
0.8780792669
0.1826811657
2.044009962
0.238233185
0.1521398201
0.08218692981
0.1435059624




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283253&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283253&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283253&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 time3 seconds
R Server'George Udny Yule' @ yule.wessa.net







ParameterEstimated ValueStandard Deviation
df0.9181964258715180.0683122359239064

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
df & 0.918196425871518 & 0.0683122359239064 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283253&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]df[/C][C]0.918196425871518[/C][C]0.0683122359239064[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283253&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283253&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
df0.9181964258715180.0683122359239064



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(MASS)
library(car)
chii <- x
chi_df <- fitdistr(chii,'chi-squared',start=list(df=3), method='Brent',lower=0.1,upper=100)
chi_k <- chi_df[[1]][1]
bitmap(file='test1.png')
chi_hist <- hist(chii,breaks=50,col='gray',freq=FALSE,main='Histogram scaled to density',xlab='x')
curve(dchisq(x,df=chi_k),add=TRUE,col='red')
dev.off()
f<-chi_df
f$estimate
f$sd
xlab <- paste('Chisq(df = ',round(f$estimate[[1]],2),sep='')
xlab <- paste(xlab,')',sep='')
xlab
bitmap(file='test2.png')
qqPlot(x, dist='chisq', df=f$estimate[[1]], ncp=0, main='QQ plot (Chi-squared 1 param.)', 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,'df',header=TRUE)
a<-table.element(a,f$estimate[1])
a<-table.element(a,f$sd[1])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')