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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 computationSun, 12 Aug 2012 09:45:37 -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/2012/Aug/12/t13447791640ydaldg4lu4qaw2.htm/, Retrieved Sat, 27 Apr 2024 16:04:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169241, Retrieved Sat, 27 Apr 2024 16:04:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan der Smissen Britt
Estimated Impact138

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] [2012-08-12 13:45:37] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
840
880
930
920
940
880
980
860
900
930
870
1000
870
860
930
980
1010
860
1140
880
800
900
900
1000
890
890
870
1000
1050
790
1160
830
730
950
980
910
840
860
880
1030
1060
770
1140
890
740
860
1050
840
810
830
920
1070
1040
740
1250
850
790
810
1080
760
840
820
900
1010
1080
780
1150
820
790
820
1130
800
890
810
950
1090
1090
850
1200
790
800
850
1230
800
930
700
1030
1040
1000
830
1190
720
810
870
1190
800
970
690
1010
1030
950
830
1150
750
840
880
1210
830

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169241&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169241&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[650,700[67510.0092590.0092590.000185
[700,750[72550.0462960.0555560.000926
[750,800[77580.0740740.129630.001481
[800,850[825220.2037040.3333330.004074
[850,900[875210.1944440.5277780.003889
[900,950[925120.1111110.6388890.002222
[950,1000[97570.0648150.7037040.001296
[1000,1050[1025120.1111110.8148150.002222
[1050,1100[107580.0740740.8888890.001481
[1100,1150[112530.0277780.9166670.000556
[1150,1200[117550.0462960.9629630.000926
[1200,1250]122540.03703710.000741

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[650,700[ & 675 & 1 & 0.009259 & 0.009259 & 0.000185 \tabularnewline
[700,750[ & 725 & 5 & 0.046296 & 0.055556 & 0.000926 \tabularnewline
[750,800[ & 775 & 8 & 0.074074 & 0.12963 & 0.001481 \tabularnewline
[800,850[ & 825 & 22 & 0.203704 & 0.333333 & 0.004074 \tabularnewline
[850,900[ & 875 & 21 & 0.194444 & 0.527778 & 0.003889 \tabularnewline
[900,950[ & 925 & 12 & 0.111111 & 0.638889 & 0.002222 \tabularnewline
[950,1000[ & 975 & 7 & 0.064815 & 0.703704 & 0.001296 \tabularnewline
[1000,1050[ & 1025 & 12 & 0.111111 & 0.814815 & 0.002222 \tabularnewline
[1050,1100[ & 1075 & 8 & 0.074074 & 0.888889 & 0.001481 \tabularnewline
[1100,1150[ & 1125 & 3 & 0.027778 & 0.916667 & 0.000556 \tabularnewline
[1150,1200[ & 1175 & 5 & 0.046296 & 0.962963 & 0.000926 \tabularnewline
[1200,1250] & 1225 & 4 & 0.037037 & 1 & 0.000741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169241&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]1[/C][C]0.009259[/C][C]0.009259[/C][C]0.000185[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]5[/C][C]0.046296[/C][C]0.055556[/C][C]0.000926[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]8[/C][C]0.074074[/C][C]0.12963[/C][C]0.001481[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]22[/C][C]0.203704[/C][C]0.333333[/C][C]0.004074[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]21[/C][C]0.194444[/C][C]0.527778[/C][C]0.003889[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]12[/C][C]0.111111[/C][C]0.638889[/C][C]0.002222[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]7[/C][C]0.064815[/C][C]0.703704[/C][C]0.001296[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]12[/C][C]0.111111[/C][C]0.814815[/C][C]0.002222[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]8[/C][C]0.074074[/C][C]0.888889[/C][C]0.001481[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]3[/C][C]0.027778[/C][C]0.916667[/C][C]0.000556[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]5[/C][C]0.046296[/C][C]0.962963[/C][C]0.000926[/C][/ROW]
[ROW][C][1200,1250][/C][C]1225[/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=169241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169241&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[67510.0092590.0092590.000185
[700,750[72550.0462960.0555560.000926
[750,800[77580.0740740.129630.001481
[800,850[825220.2037040.3333330.004074
[850,900[875210.1944440.5277780.003889
[900,950[925120.1111110.6388890.002222
[950,1000[97570.0648150.7037040.001296
[1000,1050[1025120.1111110.8148150.002222
[1050,1100[107580.0740740.8888890.001481
[1100,1150[112530.0277780.9166670.000556
[1150,1200[117550.0462960.9629630.000926
[1200,1250]122540.03703710.000741


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 {
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')
}