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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 04 Dec 2011 15:41:53 -0500
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/Dec/04/t1323031323vudi3hu9oznsuka.htm/, Retrieved Sun, 05 May 2024 09:11:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150766, Retrieved Sun, 05 May 2024 09:11:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-12-04 20:41:53] [4cf172296f32adf71d8383c359dbb80f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
126
132
146
143
135
149
162
162
150
133
118
132
129
140
155
149
139
163
184
184
172
147
128
154
159
164
192
177
186
192
213
213
198
176
160
180
185
194
207
195
197
232
244
256
223
205
186
208
210
210
250
249
243
257
278
286
251
225
194
215
218
202
249
241
248
278
316
307
273
243
217
243
256
247
281
283
284
329
378
361
326
288
251
292
298
291
331
327
332
388
427
419
369
320
285
320
329
315
370
362
369
436
479
481
418
361
319
350
354
332
376
362
377
449
505
519
418
373
324
351
374
356
420
410
434
486
562
573
477
421
376
419
431
405
433
475
486
549
636
620
522
475
404
446

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150766&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150766&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150766&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,150[125150.1041670.1041670.002083
[150,200[175250.1736110.2777780.003472
[200,250[225230.1597220.43750.003194
[250,300[275180.1250.56250.0025
[300,350[325140.0972220.6597220.001944
[350,400[375180.1250.7847220.0025
[400,450[425160.1111110.8958330.002222
[450,500[47570.0486110.9444440.000972
[500,550[52540.0277780.9722220.000556
[550,600[57520.0138890.9861110.000278
[600,650]62520.01388910.000278

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,150[ & 125 & 15 & 0.104167 & 0.104167 & 0.002083 \tabularnewline
[150,200[ & 175 & 25 & 0.173611 & 0.277778 & 0.003472 \tabularnewline
[200,250[ & 225 & 23 & 0.159722 & 0.4375 & 0.003194 \tabularnewline
[250,300[ & 275 & 18 & 0.125 & 0.5625 & 0.0025 \tabularnewline
[300,350[ & 325 & 14 & 0.097222 & 0.659722 & 0.001944 \tabularnewline
[350,400[ & 375 & 18 & 0.125 & 0.784722 & 0.0025 \tabularnewline
[400,450[ & 425 & 16 & 0.111111 & 0.895833 & 0.002222 \tabularnewline
[450,500[ & 475 & 7 & 0.048611 & 0.944444 & 0.000972 \tabularnewline
[500,550[ & 525 & 4 & 0.027778 & 0.972222 & 0.000556 \tabularnewline
[550,600[ & 575 & 2 & 0.013889 & 0.986111 & 0.000278 \tabularnewline
[600,650] & 625 & 2 & 0.013889 & 1 & 0.000278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150766&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][100,150[[/C][C]125[/C][C]15[/C][C]0.104167[/C][C]0.104167[/C][C]0.002083[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]25[/C][C]0.173611[/C][C]0.277778[/C][C]0.003472[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]23[/C][C]0.159722[/C][C]0.4375[/C][C]0.003194[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]18[/C][C]0.125[/C][C]0.5625[/C][C]0.0025[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]14[/C][C]0.097222[/C][C]0.659722[/C][C]0.001944[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]18[/C][C]0.125[/C][C]0.784722[/C][C]0.0025[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]16[/C][C]0.111111[/C][C]0.895833[/C][C]0.002222[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]7[/C][C]0.048611[/C][C]0.944444[/C][C]0.000972[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]4[/C][C]0.027778[/C][C]0.972222[/C][C]0.000556[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]2[/C][C]0.013889[/C][C]0.986111[/C][C]0.000278[/C][/ROW]
[ROW][C][600,650][/C][C]625[/C][C]2[/C][C]0.013889[/C][C]1[/C][C]0.000278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150766&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150766&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
[100,150[125150.1041670.1041670.002083
[150,200[175250.1736110.2777780.003472
[200,250[225230.1597220.43750.003194
[250,300[275180.1250.56250.0025
[300,350[325140.0972220.6597220.001944
[350,400[375180.1250.7847220.0025
[400,450[425160.1111110.8958330.002222
[450,500[47570.0486110.9444440.000972
[500,550[52540.0277780.9722220.000556
[550,600[57520.0138890.9861110.000278
[600,650]62520.01388910.000278


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')
}