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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, 25 Sep 2016 17:05:03 +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/Sep/25/t1474819601fr7kw1kxcrx6ujo.htm/, Retrieved Mon, 29 Apr 2024 22:12:58 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 29 Apr 2024 22:12:58 +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 
1982
1976
1969
1964
1961
1964
1961
1960
1970
1962
1957
1961
1944
1956
1946
1938
1944
1943
1931
1942
1944
1938
1926
1925
1899
1896
1891
1884
1883
1879
1871
1870
1870
1866
1865
1863
1849
1846
1843
1847
1859
1860
1852
1856
1857
1864
1849
1845
1835
1831
1830
1825
1829
1830
1825
1828
1837
1839
1834
1834

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=&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=&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1820,1840[1830120.20.20.01
[1840,1860[1850100.1666670.3666670.008333
[1860,1880[187090.150.5166670.0075
[1880,1900[189050.0833330.60.004167
[1900,1920[1910000.60
[1920,1940[193050.0833330.6833330.004167
[1940,1960[195080.1333330.8166670.006667
[1960,1980[1970100.1666670.9833330.008333
[1980,2000]199010.01666710.000833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1820,1840[ & 1830 & 12 & 0.2 & 0.2 & 0.01 \tabularnewline
[1840,1860[ & 1850 & 10 & 0.166667 & 0.366667 & 0.008333 \tabularnewline
[1860,1880[ & 1870 & 9 & 0.15 & 0.516667 & 0.0075 \tabularnewline
[1880,1900[ & 1890 & 5 & 0.083333 & 0.6 & 0.004167 \tabularnewline
[1900,1920[ & 1910 & 0 & 0 & 0.6 & 0 \tabularnewline
[1920,1940[ & 1930 & 5 & 0.083333 & 0.683333 & 0.004167 \tabularnewline
[1940,1960[ & 1950 & 8 & 0.133333 & 0.816667 & 0.006667 \tabularnewline
[1960,1980[ & 1970 & 10 & 0.166667 & 0.983333 & 0.008333 \tabularnewline
[1980,2000] & 1990 & 1 & 0.016667 & 1 & 0.000833 \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][1820,1840[[/C][C]1830[/C][C]12[/C][C]0.2[/C][C]0.2[/C][C]0.01[/C][/ROW]
[ROW][C][1840,1860[[/C][C]1850[/C][C]10[/C][C]0.166667[/C][C]0.366667[/C][C]0.008333[/C][/ROW]
[ROW][C][1860,1880[[/C][C]1870[/C][C]9[/C][C]0.15[/C][C]0.516667[/C][C]0.0075[/C][/ROW]
[ROW][C][1880,1900[[/C][C]1890[/C][C]5[/C][C]0.083333[/C][C]0.6[/C][C]0.004167[/C][/ROW]
[ROW][C][1900,1920[[/C][C]1910[/C][C]0[/C][C]0[/C][C]0.6[/C][C]0[/C][/ROW]
[ROW][C][1920,1940[[/C][C]1930[/C][C]5[/C][C]0.083333[/C][C]0.683333[/C][C]0.004167[/C][/ROW]
[ROW][C][1940,1960[[/C][C]1950[/C][C]8[/C][C]0.133333[/C][C]0.816667[/C][C]0.006667[/C][/ROW]
[ROW][C][1960,1980[[/C][C]1970[/C][C]10[/C][C]0.166667[/C][C]0.983333[/C][C]0.008333[/C][/ROW]
[ROW][C][1980,2000][/C][C]1990[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.000833[/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
[1820,1840[1830120.20.20.01
[1840,1860[1850100.1666670.3666670.008333
[1860,1880[187090.150.5166670.0075
[1880,1900[189050.0833330.60.004167
[1900,1920[1910000.60
[1920,1940[193050.0833330.6833330.004167
[1940,1960[195080.1333330.8166670.006667
[1960,1980[1970100.1666670.9833330.008333
[1980,2000]199010.01666710.000833


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')
}