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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, 10 Aug 2016 21:47:36 +0100
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/Aug/10/t1470862161bpzr5w1b4gzwy3n.htm/, Retrieved Tue, 30 Apr 2024 06:28:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296245, Retrieved Tue, 30 Apr 2024 06:28:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-08-10 20:47:36] [3e69b53d94b342798d3f1a806941de01] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
615
680
680
625
710
695
640
665
700
685
645
750
630
680
660
650
720
680
665
710
755
640
655
730
640
685
695
695
730
705
615
630
795
625
700
725
610
645
700
700
730
725
635
630
775
615
690
745
590
595
700
690
755
700
645
600
800
610
690
725
630
565
695
690
785
660
605
595
790
575
665
710
630
520
725
680
750
620
630
610
840
605
675
740
635
520
725
655
755
580
645
615
840
595
655
740
660
525
690
660
740
575
625
630
840
575
655
735

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=296245&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=296245&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296245&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
[500,550[52530.0277780.0277780.000556
[550,600[57590.0833330.1111110.001667
[600,650[625300.2777780.3888890.005556
[650,700[675290.2685190.6574070.00537
[700,750[725240.2222220.879630.004444
[750,800[77590.0833330.9629630.001667
[800,850]82540.03703710.000741

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[500,550[ & 525 & 3 & 0.027778 & 0.027778 & 0.000556 \tabularnewline
[550,600[ & 575 & 9 & 0.083333 & 0.111111 & 0.001667 \tabularnewline
[600,650[ & 625 & 30 & 0.277778 & 0.388889 & 0.005556 \tabularnewline
[650,700[ & 675 & 29 & 0.268519 & 0.657407 & 0.00537 \tabularnewline
[700,750[ & 725 & 24 & 0.222222 & 0.87963 & 0.004444 \tabularnewline
[750,800[ & 775 & 9 & 0.083333 & 0.962963 & 0.001667 \tabularnewline
[800,850] & 825 & 4 & 0.037037 & 1 & 0.000741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296245&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][500,550[[/C][C]525[/C][C]3[/C][C]0.027778[/C][C]0.027778[/C][C]0.000556[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]9[/C][C]0.083333[/C][C]0.111111[/C][C]0.001667[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]30[/C][C]0.277778[/C][C]0.388889[/C][C]0.005556[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]29[/C][C]0.268519[/C][C]0.657407[/C][C]0.00537[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]24[/C][C]0.222222[/C][C]0.87963[/C][C]0.004444[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]9[/C][C]0.083333[/C][C]0.962963[/C][C]0.001667[/C][/ROW]
[ROW][C][800,850][/C][C]825[/C][C]4[/C][C]0.037037[/C][C]1[/C][C]0.000741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296245&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296245&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
[500,550[52530.0277780.0277780.000556
[550,600[57590.0833330.1111110.001667
[600,650[625300.2777780.3888890.005556
[650,700[675290.2685190.6574070.00537
[700,750[725240.2222220.879630.004444
[750,800[77590.0833330.9629630.001667
[800,850]82540.03703710.000741


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')
}