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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 computationTue, 29 Jul 2014 11:23:39 +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/2014/Jul/29/t1406629471hb26oa3ge7lsmc1.htm/, Retrieved Wed, 15 May 2024 07:38:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235358, Retrieved Wed, 15 May 2024 07:38:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-07-29 10:23:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
740
730
740
820
820
850
870
930
890
790
840
880
730
730
770
880
820
900
940
1080
920
710
880
910
680
740
740
810
800
900
920
1030
910
720
930
900
680
770
770
810
810
910
820
980
830
760
930
910
640
780
690
820
800
910
850
980
830
820
1010
930
630
760
670
850
780
900
840
1050
810
860
1020
820
670
780
690
800
810
910
870
1010
810
960
990
780
700
810
760
810
840
900
920
1050
860
870
880
860
650
830
730
810
840
940
870
940
770
870
860
760

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235358&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235358&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235358&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[600,650[62520.0185190.0185190.00037
[650,700[67570.0648150.0833330.001296
[700,750[725110.1018520.1851850.002037
[750,800[775130.120370.3055560.002407
[800,850[825260.2407410.5462960.004815
[850,900[875170.1574070.7037040.003148
[900,950[925210.1944440.8981480.003889
[950,1000[97540.0370370.9351850.000741
[1000,1050[102540.0370370.9722220.000741
[1050,1100]107530.02777810.000556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[600,650[ & 625 & 2 & 0.018519 & 0.018519 & 0.00037 \tabularnewline
[650,700[ & 675 & 7 & 0.064815 & 0.083333 & 0.001296 \tabularnewline
[700,750[ & 725 & 11 & 0.101852 & 0.185185 & 0.002037 \tabularnewline
[750,800[ & 775 & 13 & 0.12037 & 0.305556 & 0.002407 \tabularnewline
[800,850[ & 825 & 26 & 0.240741 & 0.546296 & 0.004815 \tabularnewline
[850,900[ & 875 & 17 & 0.157407 & 0.703704 & 0.003148 \tabularnewline
[900,950[ & 925 & 21 & 0.194444 & 0.898148 & 0.003889 \tabularnewline
[950,1000[ & 975 & 4 & 0.037037 & 0.935185 & 0.000741 \tabularnewline
[1000,1050[ & 1025 & 4 & 0.037037 & 0.972222 & 0.000741 \tabularnewline
[1050,1100] & 1075 & 3 & 0.027778 & 1 & 0.000556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235358&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][600,650[[/C][C]625[/C][C]2[/C][C]0.018519[/C][C]0.018519[/C][C]0.00037[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]7[/C][C]0.064815[/C][C]0.083333[/C][C]0.001296[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]11[/C][C]0.101852[/C][C]0.185185[/C][C]0.002037[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]13[/C][C]0.12037[/C][C]0.305556[/C][C]0.002407[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]26[/C][C]0.240741[/C][C]0.546296[/C][C]0.004815[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]17[/C][C]0.157407[/C][C]0.703704[/C][C]0.003148[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]21[/C][C]0.194444[/C][C]0.898148[/C][C]0.003889[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]4[/C][C]0.037037[/C][C]0.935185[/C][C]0.000741[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]4[/C][C]0.037037[/C][C]0.972222[/C][C]0.000741[/C][/ROW]
[ROW][C][1050,1100][/C][C]1075[/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=235358&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235358&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
[600,650[62520.0185190.0185190.00037
[650,700[67570.0648150.0833330.001296
[700,750[725110.1018520.1851850.002037
[750,800[775130.120370.3055560.002407
[800,850[825260.2407410.5462960.004815
[850,900[875170.1574070.7037040.003148
[900,950[925210.1944440.8981480.003889
[950,1000[97540.0370370.9351850.000741
[1000,1050[102540.0370370.9722220.000741
[1050,1100]107530.02777810.000556


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')
}