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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 21 Feb 2009 09:32:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Feb/21/t1235234055qz8plmuzfo9wan2.htm/, Retrieved Sat, 11 May 2024 07:43:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38111, Retrieved Sat, 11 May 2024 07:43:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact230
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [maximumprijs 2005] [2009-02-15 18:10:11] [74be16979710d4c4e7c6647856088456]
-   P   [Univariate Data Series] [datareeks - maxim...] [2009-02-21 10:54:09] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [frequentietabel g...] [2009-02-21 16:32:54] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
220206
220115
218444
214912
210705
209673
237041
242081
241878
242621
238545
240337
244752
244576
241572
240541
236089
236997
264579
270349
269645
267037
258113
262813
267413
267366
264777
258863
254844
254868
277267
285351
286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263
255765
264319




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38111&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38111&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38111&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[205000,210000[20750010.0117650.0117652e-06
[210000,215000[21250020.0235290.0352945e-06
[215000,220000[21750010.0117650.0470592e-06
[220000,225000[22250020.0235290.0705885e-06
[225000,230000[22750020.0235290.0941185e-06
[230000,235000[232500000.0941180
[235000,240000[23750070.0823530.1764711.6e-05
[240000,245000[24250090.1058820.2823532.1e-05
[245000,250000[24750090.1058820.3882352.1e-05
[250000,255000[25250050.0588240.4470591.2e-05
[255000,260000[25750050.0588240.5058821.2e-05
[260000,265000[26250070.0823530.5882351.6e-05
[265000,270000[26750080.0941180.6823531.9e-05
[270000,275000[27250040.0470590.7294129e-06
[275000,280000[27750090.1058820.8352942.1e-05
[280000,285000[28250050.0588240.8941181.2e-05
[285000,290000[28750050.0588240.9529411.2e-05
[290000,295000]29250040.04705919e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[205000,210000[ & 207500 & 1 & 0.011765 & 0.011765 & 2e-06 \tabularnewline
[210000,215000[ & 212500 & 2 & 0.023529 & 0.035294 & 5e-06 \tabularnewline
[215000,220000[ & 217500 & 1 & 0.011765 & 0.047059 & 2e-06 \tabularnewline
[220000,225000[ & 222500 & 2 & 0.023529 & 0.070588 & 5e-06 \tabularnewline
[225000,230000[ & 227500 & 2 & 0.023529 & 0.094118 & 5e-06 \tabularnewline
[230000,235000[ & 232500 & 0 & 0 & 0.094118 & 0 \tabularnewline
[235000,240000[ & 237500 & 7 & 0.082353 & 0.176471 & 1.6e-05 \tabularnewline
[240000,245000[ & 242500 & 9 & 0.105882 & 0.282353 & 2.1e-05 \tabularnewline
[245000,250000[ & 247500 & 9 & 0.105882 & 0.388235 & 2.1e-05 \tabularnewline
[250000,255000[ & 252500 & 5 & 0.058824 & 0.447059 & 1.2e-05 \tabularnewline
[255000,260000[ & 257500 & 5 & 0.058824 & 0.505882 & 1.2e-05 \tabularnewline
[260000,265000[ & 262500 & 7 & 0.082353 & 0.588235 & 1.6e-05 \tabularnewline
[265000,270000[ & 267500 & 8 & 0.094118 & 0.682353 & 1.9e-05 \tabularnewline
[270000,275000[ & 272500 & 4 & 0.047059 & 0.729412 & 9e-06 \tabularnewline
[275000,280000[ & 277500 & 9 & 0.105882 & 0.835294 & 2.1e-05 \tabularnewline
[280000,285000[ & 282500 & 5 & 0.058824 & 0.894118 & 1.2e-05 \tabularnewline
[285000,290000[ & 287500 & 5 & 0.058824 & 0.952941 & 1.2e-05 \tabularnewline
[290000,295000] & 292500 & 4 & 0.047059 & 1 & 9e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38111&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][205000,210000[[/C][C]207500[/C][C]1[/C][C]0.011765[/C][C]0.011765[/C][C]2e-06[/C][/ROW]
[ROW][C][210000,215000[[/C][C]212500[/C][C]2[/C][C]0.023529[/C][C]0.035294[/C][C]5e-06[/C][/ROW]
[ROW][C][215000,220000[[/C][C]217500[/C][C]1[/C][C]0.011765[/C][C]0.047059[/C][C]2e-06[/C][/ROW]
[ROW][C][220000,225000[[/C][C]222500[/C][C]2[/C][C]0.023529[/C][C]0.070588[/C][C]5e-06[/C][/ROW]
[ROW][C][225000,230000[[/C][C]227500[/C][C]2[/C][C]0.023529[/C][C]0.094118[/C][C]5e-06[/C][/ROW]
[ROW][C][230000,235000[[/C][C]232500[/C][C]0[/C][C]0[/C][C]0.094118[/C][C]0[/C][/ROW]
[ROW][C][235000,240000[[/C][C]237500[/C][C]7[/C][C]0.082353[/C][C]0.176471[/C][C]1.6e-05[/C][/ROW]
[ROW][C][240000,245000[[/C][C]242500[/C][C]9[/C][C]0.105882[/C][C]0.282353[/C][C]2.1e-05[/C][/ROW]
[ROW][C][245000,250000[[/C][C]247500[/C][C]9[/C][C]0.105882[/C][C]0.388235[/C][C]2.1e-05[/C][/ROW]
[ROW][C][250000,255000[[/C][C]252500[/C][C]5[/C][C]0.058824[/C][C]0.447059[/C][C]1.2e-05[/C][/ROW]
[ROW][C][255000,260000[[/C][C]257500[/C][C]5[/C][C]0.058824[/C][C]0.505882[/C][C]1.2e-05[/C][/ROW]
[ROW][C][260000,265000[[/C][C]262500[/C][C]7[/C][C]0.082353[/C][C]0.588235[/C][C]1.6e-05[/C][/ROW]
[ROW][C][265000,270000[[/C][C]267500[/C][C]8[/C][C]0.094118[/C][C]0.682353[/C][C]1.9e-05[/C][/ROW]
[ROW][C][270000,275000[[/C][C]272500[/C][C]4[/C][C]0.047059[/C][C]0.729412[/C][C]9e-06[/C][/ROW]
[ROW][C][275000,280000[[/C][C]277500[/C][C]9[/C][C]0.105882[/C][C]0.835294[/C][C]2.1e-05[/C][/ROW]
[ROW][C][280000,285000[[/C][C]282500[/C][C]5[/C][C]0.058824[/C][C]0.894118[/C][C]1.2e-05[/C][/ROW]
[ROW][C][285000,290000[[/C][C]287500[/C][C]5[/C][C]0.058824[/C][C]0.952941[/C][C]1.2e-05[/C][/ROW]
[ROW][C][290000,295000][/C][C]292500[/C][C]4[/C][C]0.047059[/C][C]1[/C][C]9e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38111&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38111&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[205000,210000[20750010.0117650.0117652e-06
[210000,215000[21250020.0235290.0352945e-06
[215000,220000[21750010.0117650.0470592e-06
[220000,225000[22250020.0235290.0705885e-06
[225000,230000[22750020.0235290.0941185e-06
[230000,235000[232500000.0941180
[235000,240000[23750070.0823530.1764711.6e-05
[240000,245000[24250090.1058820.2823532.1e-05
[245000,250000[24750090.1058820.3882352.1e-05
[250000,255000[25250050.0588240.4470591.2e-05
[255000,260000[25750050.0588240.5058821.2e-05
[260000,265000[26250070.0823530.5882351.6e-05
[265000,270000[26750080.0941180.6823531.9e-05
[270000,275000[27250040.0470590.7294129e-06
[275000,280000[27750090.1058820.8352942.1e-05
[280000,285000[28250050.0588240.8941181.2e-05
[285000,290000[28750050.0588240.9529411.2e-05
[290000,295000]29250040.04705919e-06



Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; 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')