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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, 09 Aug 2010 13:26:51 +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/2010/Aug/09/t12813604843fop391dlfpre5c.htm/, Retrieved Mon, 29 Apr 2024 06:15:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78519, Retrieved Mon, 29 Apr 2024 06:15:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Boxel Dieter
Estimated Impact215

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks 1 - Stap 3] [2010-08-09 13:26:51] [f91e4cd4d3d1892f3fcf702e4827e40c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
356
355
354
352
372
371
356
346
347
347
348
350
353
350
343
346
373
363
349
350
353
356
355
346
349
348
342
342
379
375
363
361
363
373
367
360
358
367
357
346
386
383
367
354
363
370
361
354
363
366
353
351
389
385
364
348
347
352
342
338
343
354
329
320
353
345
324
310
314
313
310
301
294
296
274
269
292
287
271
256
260
265
263
256
246
245
220
224
240
238
222
203
209
214
216
214
206
196
169
177
193
183
164
142
141
137
140
146
136
124
105
114
135
123
100
74
64
57
62
64

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78519&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78519&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78519&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,100[7550.0416670.0416670.000833
[100,150[125120.10.1416670.002
[150,200[17560.050.1916670.001
[200,250[225130.1083330.30.002167
[250,300[275120.10.40.002
[300,350[325270.2250.6250.0045
[350,400]375450.37510.0075

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,100[ & 75 & 5 & 0.041667 & 0.041667 & 0.000833 \tabularnewline
[100,150[ & 125 & 12 & 0.1 & 0.141667 & 0.002 \tabularnewline
[150,200[ & 175 & 6 & 0.05 & 0.191667 & 0.001 \tabularnewline
[200,250[ & 225 & 13 & 0.108333 & 0.3 & 0.002167 \tabularnewline
[250,300[ & 275 & 12 & 0.1 & 0.4 & 0.002 \tabularnewline
[300,350[ & 325 & 27 & 0.225 & 0.625 & 0.0045 \tabularnewline
[350,400] & 375 & 45 & 0.375 & 1 & 0.0075 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78519&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][50,100[[/C][C]75[/C][C]5[/C][C]0.041667[/C][C]0.041667[/C][C]0.000833[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]12[/C][C]0.1[/C][C]0.141667[/C][C]0.002[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]6[/C][C]0.05[/C][C]0.191667[/C][C]0.001[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]13[/C][C]0.108333[/C][C]0.3[/C][C]0.002167[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]12[/C][C]0.1[/C][C]0.4[/C][C]0.002[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]27[/C][C]0.225[/C][C]0.625[/C][C]0.0045[/C][/ROW]
[ROW][C][350,400][/C][C]375[/C][C]45[/C][C]0.375[/C][C]1[/C][C]0.0075[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78519&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78519&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
[50,100[7550.0416670.0416670.000833
[100,150[125120.10.1416670.002
[150,200[17560.050.1916670.001
[200,250[225130.1083330.30.002167
[250,300[275120.10.40.002
[300,350[325270.2250.6250.0045
[350,400]375450.37510.0075


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')