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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 computationSun, 21 Aug 2011 05:11:52 -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/21/t13139179345rrdfxbbm3wwvvw.htm/, Retrieved Wed, 15 May 2024 03:16:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=124218, Retrieved Wed, 15 May 2024 03:16:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBlij Arnaud
Estimated Impact194

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks 2 - Stap 3] [2011-08-21 09:11:52] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
600
700
720
630
660
740
700
670
720
630
700
770
570
640
720
630
700
700
670
760
870
670
810
810
610
600
730
630
750
770
660
790
890
680
800
860
670
610
690
680
740
760
670
750
890
730
750
940
740
640
640
750
770
780
640
730
970
780
720
1050
790
610
530
750
730
870
670
750
1090
830
740
1010
780
640
590
770
650
880
700
790
1140
860
630
1060
840
720
570
790
570
800
790
780
1120
850
600
1050
810
750
550
740
500
750
820
810
1090
820
630
1080

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124218&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]2 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=124218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124218&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[500,600[55070.0648150.0648150.000648
[600,700[650290.2685190.3333330.002685
[700,800[750430.3981480.7314810.003981
[800,900[850180.1666670.8981480.001667
[900,1000[95020.0185190.9166670.000185
[1000,1100[105070.0648150.9814810.000648
[1100,1200]115020.01851910.000185

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[500,600[ & 550 & 7 & 0.064815 & 0.064815 & 0.000648 \tabularnewline
[600,700[ & 650 & 29 & 0.268519 & 0.333333 & 0.002685 \tabularnewline
[700,800[ & 750 & 43 & 0.398148 & 0.731481 & 0.003981 \tabularnewline
[800,900[ & 850 & 18 & 0.166667 & 0.898148 & 0.001667 \tabularnewline
[900,1000[ & 950 & 2 & 0.018519 & 0.916667 & 0.000185 \tabularnewline
[1000,1100[ & 1050 & 7 & 0.064815 & 0.981481 & 0.000648 \tabularnewline
[1100,1200] & 1150 & 2 & 0.018519 & 1 & 0.000185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124218&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][500,600[[/C][C]550[/C][C]7[/C][C]0.064815[/C][C]0.064815[/C][C]0.000648[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]29[/C][C]0.268519[/C][C]0.333333[/C][C]0.002685[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]43[/C][C]0.398148[/C][C]0.731481[/C][C]0.003981[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]18[/C][C]0.166667[/C][C]0.898148[/C][C]0.001667[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]2[/C][C]0.018519[/C][C]0.916667[/C][C]0.000185[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]7[/C][C]0.064815[/C][C]0.981481[/C][C]0.000648[/C][/ROW]
[ROW][C][1100,1200][/C][C]1150[/C][C]2[/C][C]0.018519[/C][C]1[/C][C]0.000185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124218&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
[500,600[55070.0648150.0648150.000648
[600,700[650290.2685190.3333330.002685
[700,800[750430.3981480.7314810.003981
[800,900[850180.1666670.8981480.001667
[900,1000[95020.0185190.9166670.000185
[1000,1100[105070.0648150.9814810.000648
[1100,1200]115020.01851910.000185


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')
}