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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, 15 Aug 2016 21:06:01 +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/15/t1471291599xn9cpfby1700sjt.htm/, Retrieved Sun, 28 Apr 2024 01:33:30 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 28 Apr 2024 01:33:30 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
700
700
620
680
700
670
660
730
680
680
650
800
660
710
660
590
660
710
620
700
690
680
640
810
620
700
720
620
630
680
670
720
660
630
620
810
540
690
720
620
650
690
660
700
630
590
570
760
500
660
750
680
710
620
640
720
680
580
530
740
480
640
690
600
640
580
690
690
720
550
510
680
450
560
730
650
680
580
750
670
670
590
480
810
350
570
710
650
710
510
800
680
660
620
580
830
480
550
720
620
730
520
870
660
650
620
560
820

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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[350,400[37510.0092590.0092590.000185
[400,450[425000.0092590
[450,500[47540.0370370.0462960.000741
[500,550[52560.0555560.1018520.001111
[550,600[575130.120370.2222220.002407
[600,650[625180.1666670.3888890.003333
[650,700[675340.3148150.7037040.006296
[700,750[725210.1944440.8981480.003889
[750,800[77530.0277780.9259260.000556
[800,850[82570.0648150.9907410.001296
[850,900]87510.00925910.000185

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[350,400[ & 375 & 1 & 0.009259 & 0.009259 & 0.000185 \tabularnewline
[400,450[ & 425 & 0 & 0 & 0.009259 & 0 \tabularnewline
[450,500[ & 475 & 4 & 0.037037 & 0.046296 & 0.000741 \tabularnewline
[500,550[ & 525 & 6 & 0.055556 & 0.101852 & 0.001111 \tabularnewline
[550,600[ & 575 & 13 & 0.12037 & 0.222222 & 0.002407 \tabularnewline
[600,650[ & 625 & 18 & 0.166667 & 0.388889 & 0.003333 \tabularnewline
[650,700[ & 675 & 34 & 0.314815 & 0.703704 & 0.006296 \tabularnewline
[700,750[ & 725 & 21 & 0.194444 & 0.898148 & 0.003889 \tabularnewline
[750,800[ & 775 & 3 & 0.027778 & 0.925926 & 0.000556 \tabularnewline
[800,850[ & 825 & 7 & 0.064815 & 0.990741 & 0.001296 \tabularnewline
[850,900] & 875 & 1 & 0.009259 & 1 & 0.000185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][350,400[[/C][C]375[/C][C]1[/C][C]0.009259[/C][C]0.009259[/C][C]0.000185[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]0[/C][C]0[/C][C]0.009259[/C][C]0[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]4[/C][C]0.037037[/C][C]0.046296[/C][C]0.000741[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]6[/C][C]0.055556[/C][C]0.101852[/C][C]0.001111[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]13[/C][C]0.12037[/C][C]0.222222[/C][C]0.002407[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]18[/C][C]0.166667[/C][C]0.388889[/C][C]0.003333[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]34[/C][C]0.314815[/C][C]0.703704[/C][C]0.006296[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]21[/C][C]0.194444[/C][C]0.898148[/C][C]0.003889[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]3[/C][C]0.027778[/C][C]0.925926[/C][C]0.000556[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]7[/C][C]0.064815[/C][C]0.990741[/C][C]0.001296[/C][/ROW]
[ROW][C][850,900][/C][C]875[/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=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[350,400[37510.0092590.0092590.000185
[400,450[425000.0092590
[450,500[47540.0370370.0462960.000741
[500,550[52560.0555560.1018520.001111
[550,600[575130.120370.2222220.002407
[600,650[625180.1666670.3888890.003333
[650,700[675340.3148150.7037040.006296
[700,750[725210.1944440.8981480.003889
[750,800[77530.0277780.9259260.000556
[800,850[82570.0648150.9907410.001296
[850,900]87510.00925910.000185


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 {
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')
}