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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, 20 Oct 2008 16:48:59 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/21/t1224542976bhdlecl7u6snb3d.htm/, Retrieved Sun, 19 May 2024 18:49:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18282, Retrieved Sun, 19 May 2024 18:49:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Histogram: werkel...] [2008-10-20 22:48:59] [7957bb37a64ed417bbed8444b0b0ea8a] [Current]
Feedback Forum
2008-10-27 18:15:58 [Evelyn Ongena] [reply] 
Je hebt enkel de link in het document vervat, zonder enige uitleg of conclusie wat het moeilijk maakt je hierop te beoordelen.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
582
552
436
602
640
551
421
382
382
427
542
708
465
474
371
463
515
509
380
313
313
359
427
415
402
388
353
464
429
398
291
272
241
288
365
312
325
346
282
362
369
340
308
294
306
328
351
366
350
356
295
359
380
360
336
299
262
299
313
357
356
368
284
338
352
342
315
277
317
291
326
353
371
356
274
352
347
345
336
276
312
330
325
328
332
341
316
377
380
373
346
272
283
302
301
303
320

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18282&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18282&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18282&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' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[200,250[22510.0103090.0103090.000206
[250,300[275160.1649480.1752580.003299
[300,350[325310.3195880.4948450.006392
[350,400[375290.2989690.7938140.005979
[400,450[42570.0721650.8659790.001443
[450,500[47540.0412370.9072160.000825
[500,550[52530.0309280.9381440.000619
[550,600[57530.0309280.9690720.000619
[600,650[62520.0206190.9896910.000412
[650,700[675000.9896910
[700,750]72510.01030910.000206

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[200,250[ & 225 & 1 & 0.010309 & 0.010309 & 0.000206 \tabularnewline
[250,300[ & 275 & 16 & 0.164948 & 0.175258 & 0.003299 \tabularnewline
[300,350[ & 325 & 31 & 0.319588 & 0.494845 & 0.006392 \tabularnewline
[350,400[ & 375 & 29 & 0.298969 & 0.793814 & 0.005979 \tabularnewline
[400,450[ & 425 & 7 & 0.072165 & 0.865979 & 0.001443 \tabularnewline
[450,500[ & 475 & 4 & 0.041237 & 0.907216 & 0.000825 \tabularnewline
[500,550[ & 525 & 3 & 0.030928 & 0.938144 & 0.000619 \tabularnewline
[550,600[ & 575 & 3 & 0.030928 & 0.969072 & 0.000619 \tabularnewline
[600,650[ & 625 & 2 & 0.020619 & 0.989691 & 0.000412 \tabularnewline
[650,700[ & 675 & 0 & 0 & 0.989691 & 0 \tabularnewline
[700,750] & 725 & 1 & 0.010309 & 1 & 0.000206 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18282&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][200,250[[/C][C]225[/C][C]1[/C][C]0.010309[/C][C]0.010309[/C][C]0.000206[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]16[/C][C]0.164948[/C][C]0.175258[/C][C]0.003299[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]31[/C][C]0.319588[/C][C]0.494845[/C][C]0.006392[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]29[/C][C]0.298969[/C][C]0.793814[/C][C]0.005979[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]7[/C][C]0.072165[/C][C]0.865979[/C][C]0.001443[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]4[/C][C]0.041237[/C][C]0.907216[/C][C]0.000825[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]3[/C][C]0.030928[/C][C]0.938144[/C][C]0.000619[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]3[/C][C]0.030928[/C][C]0.969072[/C][C]0.000619[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]2[/C][C]0.020619[/C][C]0.989691[/C][C]0.000412[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]0[/C][C]0[/C][C]0.989691[/C][C]0[/C][/ROW]
[ROW][C][700,750][/C][C]725[/C][C]1[/C][C]0.010309[/C][C]1[/C][C]0.000206[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18282&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18282&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
[200,250[22510.0103090.0103090.000206
[250,300[275160.1649480.1752580.003299
[300,350[325310.3195880.4948450.006392
[350,400[375290.2989690.7938140.005979
[400,450[42570.0721650.8659790.001443
[450,500[47540.0412370.9072160.000825
[500,550[52530.0309280.9381440.000619
[550,600[57530.0309280.9690720.000619
[600,650[62520.0206190.9896910.000412
[650,700[675000.9896910
[700,750]72510.01030910.000206


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.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)
}
dev.off()
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')