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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 2011 11:17:41 -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/15/t13134216072umqa79s6xhfwhr.htm/, Retrieved Tue, 14 May 2024 18:28:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123786, Retrieved Tue, 14 May 2024 18:28:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBerns Sophie
Estimated Impact83

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] [2011-08-15 15:17:41] [adf65953347764930908a56f01d4e8ba] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
860
950
780
840
840
900
860
810
870
930
790
930
820
930
730
860
800
890
850
890
850
1040
740
940
790
920
770
780
770
890
890
860
830
1020
740
940
780
860
820
760
780
900
820
980
830
930
770
960
750
850
850
820
730
960
760
940
880
890
830
850
850
860
800
840
760
910
650
990
780
910
820
780
890
810
830
890
760
860
670
940
740
920
800
800
920
810
790
850
780
900
710
960
760
920
740
800
870
740
710
900
740
880
700
1040
880
900
820
740

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123786&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123786&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123786&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[650,700[67520.0185190.0185190.00037
[700,750[725120.1111110.129630.002222
[750,800[775190.1759260.3055560.003519
[800,850[825210.1944440.50.003889
[850,900[875260.2407410.7407410.004815
[900,950[925190.1759260.9166670.003519
[950,1000[97560.0555560.9722220.001111
[1000,1050]102530.02777810.000556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[650,700[ & 675 & 2 & 0.018519 & 0.018519 & 0.00037 \tabularnewline
[700,750[ & 725 & 12 & 0.111111 & 0.12963 & 0.002222 \tabularnewline
[750,800[ & 775 & 19 & 0.175926 & 0.305556 & 0.003519 \tabularnewline
[800,850[ & 825 & 21 & 0.194444 & 0.5 & 0.003889 \tabularnewline
[850,900[ & 875 & 26 & 0.240741 & 0.740741 & 0.004815 \tabularnewline
[900,950[ & 925 & 19 & 0.175926 & 0.916667 & 0.003519 \tabularnewline
[950,1000[ & 975 & 6 & 0.055556 & 0.972222 & 0.001111 \tabularnewline
[1000,1050] & 1025 & 3 & 0.027778 & 1 & 0.000556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123786&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][650,700[[/C][C]675[/C][C]2[/C][C]0.018519[/C][C]0.018519[/C][C]0.00037[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]12[/C][C]0.111111[/C][C]0.12963[/C][C]0.002222[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]19[/C][C]0.175926[/C][C]0.305556[/C][C]0.003519[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]21[/C][C]0.194444[/C][C]0.5[/C][C]0.003889[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]26[/C][C]0.240741[/C][C]0.740741[/C][C]0.004815[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]19[/C][C]0.175926[/C][C]0.916667[/C][C]0.003519[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]6[/C][C]0.055556[/C][C]0.972222[/C][C]0.001111[/C][/ROW]
[ROW][C][1000,1050][/C][C]1025[/C][C]3[/C][C]0.027778[/C][C]1[/C][C]0.000556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123786&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123786&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
[650,700[67520.0185190.0185190.00037
[700,750[725120.1111110.129630.002222
[750,800[775190.1759260.3055560.003519
[800,850[825210.1944440.50.003889
[850,900[875260.2407410.7407410.004815
[900,950[925190.1759260.9166670.003519
[950,1000[97560.0555560.9722220.001111
[1000,1050]102530.02777810.000556


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')
}