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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 computationWed, 03 Aug 2011 09:34:54 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/03/t13123785219ntcvn7bvvwpkbe.htm/, Retrieved Tue, 14 May 2024 17:01:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123337, Retrieved Tue, 14 May 2024 17:01:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDe Wolf Davy
Estimated Impact178

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [TIJDREEKS B - STAP 2] [2011-08-03 13:34:54] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
760
730
730
680
730
710
800
830
820
770
800
840
800
710
800
780
760
730
770
880
850
810
770
810
890
790
840
830
740
760
630
890
900
820
810
820
890
810
810
840
830
790
610
870
870
820
800
840
860
860
730
850
860
900
610
960
820
860
810
820
820
880
840
910
860
880
620
970
810
880
870
800
740
1010
850
980
880
870
660
940
860
880
1000
840
800
1060
790
930
920
840
690
940
1010
890
1000
820
800
1000
780
1010
950
830
670
1000
960
920
1040
860

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'AstonUniversity' @ aston.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 & 10 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123337&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123337&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 time10 seconds
R Server'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[600,650[62540.0370370.0370370.000741
[650,700[67540.0370370.0740740.000741
[700,750[72590.0833330.1574070.001667
[750,800[775110.1018520.2592590.002037
[800,850[825340.3148150.5740740.006296
[850,900[875240.2222220.7962960.004444
[900,950[92580.0740740.870370.001481
[950,1000[97550.0462960.9166670.000926
[1000,1050[102580.0740740.9907410.001481
[1050,1100]107510.00925910.000185

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[600,650[ & 625 & 4 & 0.037037 & 0.037037 & 0.000741 \tabularnewline
[650,700[ & 675 & 4 & 0.037037 & 0.074074 & 0.000741 \tabularnewline
[700,750[ & 725 & 9 & 0.083333 & 0.157407 & 0.001667 \tabularnewline
[750,800[ & 775 & 11 & 0.101852 & 0.259259 & 0.002037 \tabularnewline
[800,850[ & 825 & 34 & 0.314815 & 0.574074 & 0.006296 \tabularnewline
[850,900[ & 875 & 24 & 0.222222 & 0.796296 & 0.004444 \tabularnewline
[900,950[ & 925 & 8 & 0.074074 & 0.87037 & 0.001481 \tabularnewline
[950,1000[ & 975 & 5 & 0.046296 & 0.916667 & 0.000926 \tabularnewline
[1000,1050[ & 1025 & 8 & 0.074074 & 0.990741 & 0.001481 \tabularnewline
[1050,1100] & 1075 & 1 & 0.009259 & 1 & 0.000185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123337&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][600,650[[/C][C]625[/C][C]4[/C][C]0.037037[/C][C]0.037037[/C][C]0.000741[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]4[/C][C]0.037037[/C][C]0.074074[/C][C]0.000741[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]9[/C][C]0.083333[/C][C]0.157407[/C][C]0.001667[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]11[/C][C]0.101852[/C][C]0.259259[/C][C]0.002037[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]34[/C][C]0.314815[/C][C]0.574074[/C][C]0.006296[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]24[/C][C]0.222222[/C][C]0.796296[/C][C]0.004444[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]8[/C][C]0.074074[/C][C]0.87037[/C][C]0.001481[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]5[/C][C]0.046296[/C][C]0.916667[/C][C]0.000926[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]8[/C][C]0.074074[/C][C]0.990741[/C][C]0.001481[/C][/ROW]
[ROW][C][1050,1100][/C][C]1075[/C][C]1[/C][C]0.009259[/C][C]1[/C][C]0.000185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123337&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
[600,650[62540.0370370.0370370.000741
[650,700[67540.0370370.0740740.000741
[700,750[72590.0833330.1574070.001667
[750,800[775110.1018520.2592590.002037
[800,850[825340.3148150.5740740.006296
[850,900[875240.2222220.7962960.004444
[900,950[92580.0740740.870370.001481
[950,1000[97550.0462960.9166670.000926
[1000,1050[102580.0740740.9907410.001481
[1050,1100]107510.00925910.000185


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 {
plot(mytab <- table(x),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')
}