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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 computationThu, 18 Feb 2016 12:17:20 +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/2016/Feb/18/t1455798463ga0yr921psxjdb9.htm/, Retrieved Mon, 06 May 2024 21:54:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292123, Retrieved Mon, 06 May 2024 21:54:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2016-02-06 21:39:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [Frequentietabel e...] [2016-02-18 12:17:20] [cd64a5fdaad03808d42c807526620cf5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
303506
303711
303907
304117
304323
304556
304798
305045
305309
305554
305786
306004
306208
306402
306588
306787
306984
307206
307439
307685
307946
308189
308418
308633
308833
309027
309212
309191
309376
309562
309767
309989
310218
310451
310657
310853
311042
311205
311367
311548
311729
311923
312139
312355
312587
312810
313003
313191
313373
313537
313705
313881
314052
314247
314449
314673
314909
315129
315341
315532
315701
315869
316041
316220
316395
316594
316799
317019
317253
317470
317679
317867
318032
318200
318373
318552
318728
318927
319133
319354
319588
319804
320013
320201
320367
320534
320707
320887
321062
321262
321467
321688
321922
322139
322348
322536

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292123&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292123&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292123&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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[302000,304000[30300030.031250.031251.6e-05
[304000,306000[30500080.0833330.1145834.2e-05
[306000,308000[307000100.1041670.218755.2e-05
[308000,310000[309000110.1145830.3333335.7e-05
[310000,312000[311000100.1041670.43755.2e-05
[312000,314000[313000100.1041670.5416675.2e-05
[314000,316000[315000100.1041670.6458335.2e-05
[316000,318000[317000100.1041670.755.2e-05
[318000,320000[319000100.1041670.8541675.2e-05
[320000,322000[321000110.1145830.968755.7e-05
[322000,324000]32300030.0312511.6e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[302000,304000[ & 303000 & 3 & 0.03125 & 0.03125 & 1.6e-05 \tabularnewline
[304000,306000[ & 305000 & 8 & 0.083333 & 0.114583 & 4.2e-05 \tabularnewline
[306000,308000[ & 307000 & 10 & 0.104167 & 0.21875 & 5.2e-05 \tabularnewline
[308000,310000[ & 309000 & 11 & 0.114583 & 0.333333 & 5.7e-05 \tabularnewline
[310000,312000[ & 311000 & 10 & 0.104167 & 0.4375 & 5.2e-05 \tabularnewline
[312000,314000[ & 313000 & 10 & 0.104167 & 0.541667 & 5.2e-05 \tabularnewline
[314000,316000[ & 315000 & 10 & 0.104167 & 0.645833 & 5.2e-05 \tabularnewline
[316000,318000[ & 317000 & 10 & 0.104167 & 0.75 & 5.2e-05 \tabularnewline
[318000,320000[ & 319000 & 10 & 0.104167 & 0.854167 & 5.2e-05 \tabularnewline
[320000,322000[ & 321000 & 11 & 0.114583 & 0.96875 & 5.7e-05 \tabularnewline
[322000,324000] & 323000 & 3 & 0.03125 & 1 & 1.6e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292123&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][302000,304000[[/C][C]303000[/C][C]3[/C][C]0.03125[/C][C]0.03125[/C][C]1.6e-05[/C][/ROW]
[ROW][C][304000,306000[[/C][C]305000[/C][C]8[/C][C]0.083333[/C][C]0.114583[/C][C]4.2e-05[/C][/ROW]
[ROW][C][306000,308000[[/C][C]307000[/C][C]10[/C][C]0.104167[/C][C]0.21875[/C][C]5.2e-05[/C][/ROW]
[ROW][C][308000,310000[[/C][C]309000[/C][C]11[/C][C]0.114583[/C][C]0.333333[/C][C]5.7e-05[/C][/ROW]
[ROW][C][310000,312000[[/C][C]311000[/C][C]10[/C][C]0.104167[/C][C]0.4375[/C][C]5.2e-05[/C][/ROW]
[ROW][C][312000,314000[[/C][C]313000[/C][C]10[/C][C]0.104167[/C][C]0.541667[/C][C]5.2e-05[/C][/ROW]
[ROW][C][314000,316000[[/C][C]315000[/C][C]10[/C][C]0.104167[/C][C]0.645833[/C][C]5.2e-05[/C][/ROW]
[ROW][C][316000,318000[[/C][C]317000[/C][C]10[/C][C]0.104167[/C][C]0.75[/C][C]5.2e-05[/C][/ROW]
[ROW][C][318000,320000[[/C][C]319000[/C][C]10[/C][C]0.104167[/C][C]0.854167[/C][C]5.2e-05[/C][/ROW]
[ROW][C][320000,322000[[/C][C]321000[/C][C]11[/C][C]0.114583[/C][C]0.96875[/C][C]5.7e-05[/C][/ROW]
[ROW][C][322000,324000][/C][C]323000[/C][C]3[/C][C]0.03125[/C][C]1[/C][C]1.6e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292123&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292123&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
[302000,304000[30300030.031250.031251.6e-05
[304000,306000[30500080.0833330.1145834.2e-05
[306000,308000[307000100.1041670.218755.2e-05
[308000,310000[309000110.1145830.3333335.7e-05
[310000,312000[311000100.1041670.43755.2e-05
[312000,314000[313000100.1041670.5416675.2e-05
[314000,316000[315000100.1041670.6458335.2e-05
[316000,318000[317000100.1041670.755.2e-05
[318000,320000[319000100.1041670.8541675.2e-05
[320000,322000[321000110.1145830.968755.7e-05
[322000,324000]32300030.0312511.6e-05


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.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')
}