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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 computationMon, 08 Oct 2012 17:37:28 -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/2012/Oct/08/t1349732338xuq24tcy5u6pfmb.htm/, Retrieved Thu, 02 May 2024 01:23:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174360, Retrieved Thu, 02 May 2024 01:23:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact34

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram Bouwver...] [2012-10-08 21:37:28] [919f2ba82fb4b9463f31da46ca7d0ab5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
406
380
414
295
360
359
319
316
349
347
299
294
296
318
385
327
326
385
371
400
323
386
286
296
335
357
353
372
365
441
304
341
393
339
281
360
324
360
356
358
324
366
365
372
282
312
293
350
354
375
373
360
397
408
348
407
348
360
242
295
311
324
346
300
376
318
304
354
344
291
232
295

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174360&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]2 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=174360&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174360&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[220,240[23010.0138890.0138890.000694
[240,260[25010.0138890.0277780.000694
[260,280[270000.0277780
[280,300[290120.1666670.1944440.008333
[300,320[31090.1250.3194440.00625
[320,340[33080.1111110.4305560.005556
[340,360[350150.2083330.6388890.010417
[360,380[370140.1944440.8333330.009722
[380,400[39060.0833330.9166670.004167
[400,420[41050.0694440.9861110.003472
[420,440[430000.9861110
[440,460]45010.01388910.000694

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[220,240[ & 230 & 1 & 0.013889 & 0.013889 & 0.000694 \tabularnewline
[240,260[ & 250 & 1 & 0.013889 & 0.027778 & 0.000694 \tabularnewline
[260,280[ & 270 & 0 & 0 & 0.027778 & 0 \tabularnewline
[280,300[ & 290 & 12 & 0.166667 & 0.194444 & 0.008333 \tabularnewline
[300,320[ & 310 & 9 & 0.125 & 0.319444 & 0.00625 \tabularnewline
[320,340[ & 330 & 8 & 0.111111 & 0.430556 & 0.005556 \tabularnewline
[340,360[ & 350 & 15 & 0.208333 & 0.638889 & 0.010417 \tabularnewline
[360,380[ & 370 & 14 & 0.194444 & 0.833333 & 0.009722 \tabularnewline
[380,400[ & 390 & 6 & 0.083333 & 0.916667 & 0.004167 \tabularnewline
[400,420[ & 410 & 5 & 0.069444 & 0.986111 & 0.003472 \tabularnewline
[420,440[ & 430 & 0 & 0 & 0.986111 & 0 \tabularnewline
[440,460] & 450 & 1 & 0.013889 & 1 & 0.000694 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174360&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][220,240[[/C][C]230[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.000694[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.000694[/C][/ROW]
[ROW][C][260,280[[/C][C]270[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][280,300[[/C][C]290[/C][C]12[/C][C]0.166667[/C][C]0.194444[/C][C]0.008333[/C][/ROW]
[ROW][C][300,320[[/C][C]310[/C][C]9[/C][C]0.125[/C][C]0.319444[/C][C]0.00625[/C][/ROW]
[ROW][C][320,340[[/C][C]330[/C][C]8[/C][C]0.111111[/C][C]0.430556[/C][C]0.005556[/C][/ROW]
[ROW][C][340,360[[/C][C]350[/C][C]15[/C][C]0.208333[/C][C]0.638889[/C][C]0.010417[/C][/ROW]
[ROW][C][360,380[[/C][C]370[/C][C]14[/C][C]0.194444[/C][C]0.833333[/C][C]0.009722[/C][/ROW]
[ROW][C][380,400[[/C][C]390[/C][C]6[/C][C]0.083333[/C][C]0.916667[/C][C]0.004167[/C][/ROW]
[ROW][C][400,420[[/C][C]410[/C][C]5[/C][C]0.069444[/C][C]0.986111[/C][C]0.003472[/C][/ROW]
[ROW][C][420,440[[/C][C]430[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][440,460][/C][C]450[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000694[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174360&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174360&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
[220,240[23010.0138890.0138890.000694
[240,260[25010.0138890.0277780.000694
[260,280[270000.0277780
[280,300[290120.1666670.1944440.008333
[300,320[31090.1250.3194440.00625
[320,340[33080.1111110.4305560.005556
[340,360[350150.2083330.6388890.010417
[360,380[370140.1944440.8333330.009722
[380,400[39060.0833330.9166670.004167
[400,420[41050.0694440.9861110.003472
[420,440[430000.9861110
[440,460]45010.01388910.000694


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')
}