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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 computationMon, 01 Aug 2016 12:52:22 +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/01/t1470052429yif6cpllfnkw515.htm/, Retrieved Mon, 29 Apr 2024 08:52:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295986, Retrieved Mon, 29 Apr 2024 08:52:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-08-01 11:52:22] [b94c13d84d922b33c8d74b1e5b1d38c1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
630
720
740
720
720
690
790
760
840
840
640
840
590
770
750
590
730
740
770
660
830
900
630
770
640
700
760
500
740
740
680
580
780
990
630
780
630
780
730
490
710
700
740
520
730
1110
510
750
690
740
690
640
660
580
760
510
810
1050
510
740
690
800
670
670
640
540
740
600
860
1080
480
680
650
860
650
630
600
500
760
590
800
1120
520
710
600
880
700
590
680
530
730
600
880
1120
540
740
580
850
670
530
680
540
760
620
910
1230
530
720

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295986&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]0 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=295986&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295986&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[400,500[45020.0185190.0185190.000185
[500,600[550200.1851850.2037040.001852
[600,700[650290.2685190.4722220.002685
[700,800[750360.3333330.8055560.003333
[800,900[850120.1111110.9166670.001111
[900,1000[95030.0277780.9444440.000278
[1000,1100[105020.0185190.9629630.000185
[1100,1200[115030.0277780.9907410.000278
[1200,1300]125010.00925919.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[400,500[ & 450 & 2 & 0.018519 & 0.018519 & 0.000185 \tabularnewline
[500,600[ & 550 & 20 & 0.185185 & 0.203704 & 0.001852 \tabularnewline
[600,700[ & 650 & 29 & 0.268519 & 0.472222 & 0.002685 \tabularnewline
[700,800[ & 750 & 36 & 0.333333 & 0.805556 & 0.003333 \tabularnewline
[800,900[ & 850 & 12 & 0.111111 & 0.916667 & 0.001111 \tabularnewline
[900,1000[ & 950 & 3 & 0.027778 & 0.944444 & 0.000278 \tabularnewline
[1000,1100[ & 1050 & 2 & 0.018519 & 0.962963 & 0.000185 \tabularnewline
[1100,1200[ & 1150 & 3 & 0.027778 & 0.990741 & 0.000278 \tabularnewline
[1200,1300] & 1250 & 1 & 0.009259 & 1 & 9.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295986&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][400,500[[/C][C]450[/C][C]2[/C][C]0.018519[/C][C]0.018519[/C][C]0.000185[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]20[/C][C]0.185185[/C][C]0.203704[/C][C]0.001852[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]29[/C][C]0.268519[/C][C]0.472222[/C][C]0.002685[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]36[/C][C]0.333333[/C][C]0.805556[/C][C]0.003333[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]12[/C][C]0.111111[/C][C]0.916667[/C][C]0.001111[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]3[/C][C]0.027778[/C][C]0.944444[/C][C]0.000278[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]2[/C][C]0.018519[/C][C]0.962963[/C][C]0.000185[/C][/ROW]
[ROW][C][1100,1200[[/C][C]1150[/C][C]3[/C][C]0.027778[/C][C]0.990741[/C][C]0.000278[/C][/ROW]
[ROW][C][1200,1300][/C][C]1250[/C][C]1[/C][C]0.009259[/C][C]1[/C][C]9.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295986&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295986&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
[400,500[45020.0185190.0185190.000185
[500,600[550200.1851850.2037040.001852
[600,700[650290.2685190.4722220.002685
[700,800[750360.3333330.8055560.003333
[800,900[850120.1111110.9166670.001111
[900,1000[95030.0277780.9444440.000278
[1000,1100[105020.0185190.9629630.000185
[1100,1200[115030.0277780.9907410.000278
[1200,1300]125010.00925919.3e-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')
}