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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 computationMon, 07 Dec 2015 14:21:55 +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/2015/Dec/07/t1449498148h8rjebu9yl4hapu.htm/, Retrieved Sat, 18 May 2024 09:43:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285397, Retrieved Sat, 18 May 2024 09:43:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot] [2015-12-07 13:57:43] [006b54b8ce76f482b86cd20c6480b526]
-       [Notched Boxplots] [boxplot] [2015-12-07 14:04:56] [006b54b8ce76f482b86cd20c6480b526]
- R PD    [Notched Boxplots] [Boxplot 25-50] [2015-12-07 14:11:12] [006b54b8ce76f482b86cd20c6480b526]
-    D      [Notched Boxplots] [Boxplot ouder 50] [2015-12-07 14:12:43] [006b54b8ce76f482b86cd20c6480b526]
- R  D        [Notched Boxplots] [] [2015-12-07 14:21:26] [006b54b8ce76f482b86cd20c6480b526]
- RM D            [Histogram] [Histogram totaal ...] [2015-12-07 14:21:55] [7a1b228211171c106fd09cb69827bfa3] [Current]
-    D              [Histogram] [Histogram totaal ...] [2015-12-07 14:22:55] [006b54b8ce76f482b86cd20c6480b526]
-    D                [Histogram] [Histogram mannen ...] [2015-12-07 14:30:30] [006b54b8ce76f482b86cd20c6480b526]
-    D                  [Histogram] [Histogram vrouwen...] [2015-12-07 14:31:49] [006b54b8ce76f482b86cd20c6480b526]
-    D                    [Histogram] [histogram mannen ...] [2015-12-07 14:32:55] [006b54b8ce76f482b86cd20c6480b526]
-    D                      [Histogram] [Histogram vrouwen...] [2015-12-07 14:33:46] [006b54b8ce76f482b86cd20c6480b526]
-    D                        [Histogram] [Histogram mannen ...] [2015-12-07 14:34:32] [006b54b8ce76f482b86cd20c6480b526]
-    D                          [Histogram] [Histogram vrouwen...] [2015-12-07 14:35:14] [006b54b8ce76f482b86cd20c6480b526]
- RMPD                [Notched Boxplots] [] [2015-12-14 16:11:38] [006b54b8ce76f482b86cd20c6480b526]
- RMPD                  [Histogram] [mannen jonger dan 25] [2015-12-14 16:12:15] [006b54b8ce76f482b86cd20c6480b526]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
287224
279998
283495
285775
282329
277799
271980
266730
262433
285378
286692
282917
277686
274371
277466
290604
290770
283654
278601
274405
272817
294292
300562
298982
296917
295008
297295
305671
303853
300708
298194
292254
290646
314707
317009
317706
313312
311048
315917
326174
322116
317092
310468
302438
298493
320124
321873
321676
316696
312612
313307
320883
318749
315126
304600
295245
293619
309700
310597
307416
301126

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=285397&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=285397&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285397&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
[260000,270000[26500020.0327870.0327873e-06
[270000,280000[27500090.1475410.1803281.5e-05
[280000,290000[28500080.1311480.3114751.3e-05
[290000,3e+05[295000130.2131150.524592.1e-05
[3e+05,310000[30500090.1475410.6721311.5e-05
[310000,320000[315000140.2295080.9016392.3e-05
[320000,330000]32500060.09836111e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[260000,270000[ & 265000 & 2 & 0.032787 & 0.032787 & 3e-06 \tabularnewline
[270000,280000[ & 275000 & 9 & 0.147541 & 0.180328 & 1.5e-05 \tabularnewline
[280000,290000[ & 285000 & 8 & 0.131148 & 0.311475 & 1.3e-05 \tabularnewline
[290000,3e+05[ & 295000 & 13 & 0.213115 & 0.52459 & 2.1e-05 \tabularnewline
[3e+05,310000[ & 305000 & 9 & 0.147541 & 0.672131 & 1.5e-05 \tabularnewline
[310000,320000[ & 315000 & 14 & 0.229508 & 0.901639 & 2.3e-05 \tabularnewline
[320000,330000] & 325000 & 6 & 0.098361 & 1 & 1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285397&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][260000,270000[[/C][C]265000[/C][C]2[/C][C]0.032787[/C][C]0.032787[/C][C]3e-06[/C][/ROW]
[ROW][C][270000,280000[[/C][C]275000[/C][C]9[/C][C]0.147541[/C][C]0.180328[/C][C]1.5e-05[/C][/ROW]
[ROW][C][280000,290000[[/C][C]285000[/C][C]8[/C][C]0.131148[/C][C]0.311475[/C][C]1.3e-05[/C][/ROW]
[ROW][C][290000,3e+05[[/C][C]295000[/C][C]13[/C][C]0.213115[/C][C]0.52459[/C][C]2.1e-05[/C][/ROW]
[ROW][C][3e+05,310000[[/C][C]305000[/C][C]9[/C][C]0.147541[/C][C]0.672131[/C][C]1.5e-05[/C][/ROW]
[ROW][C][310000,320000[[/C][C]315000[/C][C]14[/C][C]0.229508[/C][C]0.901639[/C][C]2.3e-05[/C][/ROW]
[ROW][C][320000,330000][/C][C]325000[/C][C]6[/C][C]0.098361[/C][C]1[/C][C]1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285397&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285397&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
[260000,270000[26500020.0327870.0327873e-06
[270000,280000[27500090.1475410.1803281.5e-05
[280000,290000[28500080.1311480.3114751.3e-05
[290000,3e+05[295000130.2131150.524592.1e-05
[3e+05,310000[30500090.1475410.6721311.5e-05
[310000,320000[315000140.2295080.9016392.3e-05
[320000,330000]32500060.09836111e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 80 ; par3 = 1e-08 ;
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 {
barplot(mytab <- sort(table(x),T),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')
}