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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 14:22:55 +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/t1449498220mq2i1qzalvrjry3.htm/, Retrieved Thu, 16 May 2024 18:32:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285398, Retrieved Thu, 16 May 2024 18:32:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [006b54b8ce76f482b86cd20c6480b526]
-    D              [Histogram] [Histogram totaal ...] [2015-12-07 14:22:55] [7a1b228211171c106fd09cb69827bfa3] [Current]
-    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 
276444
268606
267679
269879
265641
262525
258597
253849
256221
286895
294610
280363
269926
264341
263269
271045
267915
262078
257751
253271
257638
287452
298152
284793
274560
268270
267577
271866
268546
264722
262425
258973
262751
296186
304659
295442
285466
279575
279985
286012
281337
276270
271472
265637
268974
299299
305452
295468
285584
278204
276505
279732
276980
271832
263105
256162
260705
285857
291870
280358
270981

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=285398&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=285398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285398&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
[250000,260000[25500080.1311480.1311481.3e-05
[260000,270000[265000200.3278690.4590163.3e-05
[270000,280000[275000140.2295080.6885252.3e-05
[280000,290000[285000100.1639340.8524591.6e-05
[290000,3e+05[29500070.1147540.9672131.1e-05
[3e+05,310000]30500020.03278713e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[250000,260000[ & 255000 & 8 & 0.131148 & 0.131148 & 1.3e-05 \tabularnewline
[260000,270000[ & 265000 & 20 & 0.327869 & 0.459016 & 3.3e-05 \tabularnewline
[270000,280000[ & 275000 & 14 & 0.229508 & 0.688525 & 2.3e-05 \tabularnewline
[280000,290000[ & 285000 & 10 & 0.163934 & 0.852459 & 1.6e-05 \tabularnewline
[290000,3e+05[ & 295000 & 7 & 0.114754 & 0.967213 & 1.1e-05 \tabularnewline
[3e+05,310000] & 305000 & 2 & 0.032787 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285398&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][250000,260000[[/C][C]255000[/C][C]8[/C][C]0.131148[/C][C]0.131148[/C][C]1.3e-05[/C][/ROW]
[ROW][C][260000,270000[[/C][C]265000[/C][C]20[/C][C]0.327869[/C][C]0.459016[/C][C]3.3e-05[/C][/ROW]
[ROW][C][270000,280000[[/C][C]275000[/C][C]14[/C][C]0.229508[/C][C]0.688525[/C][C]2.3e-05[/C][/ROW]
[ROW][C][280000,290000[[/C][C]285000[/C][C]10[/C][C]0.163934[/C][C]0.852459[/C][C]1.6e-05[/C][/ROW]
[ROW][C][290000,3e+05[[/C][C]295000[/C][C]7[/C][C]0.114754[/C][C]0.967213[/C][C]1.1e-05[/C][/ROW]
[ROW][C][3e+05,310000][/C][C]305000[/C][C]2[/C][C]0.032787[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285398&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
[250000,260000[25500080.1311480.1311481.3e-05
[260000,270000[265000200.3278690.4590163.3e-05
[270000,280000[275000140.2295080.6885252.3e-05
[280000,290000[285000100.1639340.8524591.6e-05
[290000,3e+05[29500070.1147540.9672131.1e-05
[3e+05,310000]30500020.03278713e-06


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')
}