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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 24 Sep 2014 16:27:34 +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/2014/Sep/24/t1411572697prjxvbeq82ejwfi.htm/, Retrieved Fri, 10 May 2024 21:52:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236135, Retrieved Fri, 10 May 2024 21:52:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Datareeks - Goudp...] [2014-09-24 15:27:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
385864
393119
387595
390775
397158
389400
382250
380863
382440
385609
378947
379850
377727
384863
396908
391352
389069
390524
385023
396250
383420
379293
353153
341202
349238
358988
358398
371363
352472
348250
350023
337438
327034
323341
329342
323536
321775
332425
340608
342469
338375
326705
322071
314083
326205
375786
367600
363977
364095
394786
384696
382806
392750
391053
389175
393432
406238
408932
402750
392605
367227
369300
375477
378974
401313
410525
403476
392409
403475
405935
404138
401795

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236135&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236135&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236135&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[310000,320000[31500010.0138890.0138891e-06
[320000,330000[32500080.1111110.1251.1e-05
[330000,340000[33500030.0416670.1666674e-06
[340000,350000[34500050.0694440.2361117e-06
[350000,360000[35500050.0694440.3055567e-06
[360000,370000[36500050.0694440.3757e-06
[370000,380000[37500080.1111110.4861111.1e-05
[380000,390000[385000140.1944440.6805561.9e-05
[390000,4e+05[395000130.1805560.8611111.8e-05
[4e+05,410000[40500090.1250.9861111.2e-05
[410000,420000]41500010.01388911e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[310000,320000[ & 315000 & 1 & 0.013889 & 0.013889 & 1e-06 \tabularnewline
[320000,330000[ & 325000 & 8 & 0.111111 & 0.125 & 1.1e-05 \tabularnewline
[330000,340000[ & 335000 & 3 & 0.041667 & 0.166667 & 4e-06 \tabularnewline
[340000,350000[ & 345000 & 5 & 0.069444 & 0.236111 & 7e-06 \tabularnewline
[350000,360000[ & 355000 & 5 & 0.069444 & 0.305556 & 7e-06 \tabularnewline
[360000,370000[ & 365000 & 5 & 0.069444 & 0.375 & 7e-06 \tabularnewline
[370000,380000[ & 375000 & 8 & 0.111111 & 0.486111 & 1.1e-05 \tabularnewline
[380000,390000[ & 385000 & 14 & 0.194444 & 0.680556 & 1.9e-05 \tabularnewline
[390000,4e+05[ & 395000 & 13 & 0.180556 & 0.861111 & 1.8e-05 \tabularnewline
[4e+05,410000[ & 405000 & 9 & 0.125 & 0.986111 & 1.2e-05 \tabularnewline
[410000,420000] & 415000 & 1 & 0.013889 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236135&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][310000,320000[[/C][C]315000[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]1e-06[/C][/ROW]
[ROW][C][320000,330000[[/C][C]325000[/C][C]8[/C][C]0.111111[/C][C]0.125[/C][C]1.1e-05[/C][/ROW]
[ROW][C][330000,340000[[/C][C]335000[/C][C]3[/C][C]0.041667[/C][C]0.166667[/C][C]4e-06[/C][/ROW]
[ROW][C][340000,350000[[/C][C]345000[/C][C]5[/C][C]0.069444[/C][C]0.236111[/C][C]7e-06[/C][/ROW]
[ROW][C][350000,360000[[/C][C]355000[/C][C]5[/C][C]0.069444[/C][C]0.305556[/C][C]7e-06[/C][/ROW]
[ROW][C][360000,370000[[/C][C]365000[/C][C]5[/C][C]0.069444[/C][C]0.375[/C][C]7e-06[/C][/ROW]
[ROW][C][370000,380000[[/C][C]375000[/C][C]8[/C][C]0.111111[/C][C]0.486111[/C][C]1.1e-05[/C][/ROW]
[ROW][C][380000,390000[[/C][C]385000[/C][C]14[/C][C]0.194444[/C][C]0.680556[/C][C]1.9e-05[/C][/ROW]
[ROW][C][390000,4e+05[[/C][C]395000[/C][C]13[/C][C]0.180556[/C][C]0.861111[/C][C]1.8e-05[/C][/ROW]
[ROW][C][4e+05,410000[[/C][C]405000[/C][C]9[/C][C]0.125[/C][C]0.986111[/C][C]1.2e-05[/C][/ROW]
[ROW][C][410000,420000][/C][C]415000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236135&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236135&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[310000,320000[31500010.0138890.0138891e-06
[320000,330000[32500080.1111110.1251.1e-05
[330000,340000[33500030.0416670.1666674e-06
[340000,350000[34500050.0694440.2361117e-06
[350000,360000[35500050.0694440.3055567e-06
[360000,370000[36500050.0694440.3757e-06
[370000,380000[37500080.1111110.4861111.1e-05
[380000,390000[385000140.1944440.6805561.9e-05
[390000,4e+05[395000130.1805560.8611111.8e-05
[4e+05,410000[40500090.1250.9861111.2e-05
[410000,420000]41500010.01388911e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}