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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 computationThu, 08 Mar 2012 10:09:32 -0500
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/Mar/08/t1331219477udm7a3um6sqed0g.htm/, Retrieved Sat, 04 May 2024 08:53:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163800, Retrieved Sat, 04 May 2024 08:53:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact76

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Opgave 1 deel 2 f...] [2012-03-08 15:09:32] [2c3906e099e396db093769aeca236bf5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1157364
1185986
1430183
1686944
1787903
1789879
2070194
1943461
1870554
1700436
1403305
1266932
1240303
1262079
1567165
1750958
1846579
1888635
2241216
2142676
2065581
1892108
1614968
1505911
1426367
1513251
1767385
1915718
2057762
2057994
2356367
2258319
2108897
1908910
1545304
1423982
1279458
1302560
1570100
1905182
1954595
1987875
2340472
2271636
2063460
1914860
1623402
1502776
1371881
1424803
1704379
1563479
2107736
2124789
2521039
2441647
2243761
2168578
1780592
1587783

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=163800&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=163800&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163800&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
[1e+06,1200000[110000020.0333330.0333330
[1200000,1400000[130000060.10.1333330
[1400000,1600000[1500000130.2166670.351e-06
[1600000,1800000[1700000100.1666670.5166671e-06
[1800000,2e+06[1900000110.1833330.71e-06
[2e+06,2200000[2100000100.1666670.8666671e-06
[2200000,2400000[230000060.10.9666670
[2400000,2600000]250000020.03333310

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1e+06,1200000[ & 1100000 & 2 & 0.033333 & 0.033333 & 0 \tabularnewline
[1200000,1400000[ & 1300000 & 6 & 0.1 & 0.133333 & 0 \tabularnewline
[1400000,1600000[ & 1500000 & 13 & 0.216667 & 0.35 & 1e-06 \tabularnewline
[1600000,1800000[ & 1700000 & 10 & 0.166667 & 0.516667 & 1e-06 \tabularnewline
[1800000,2e+06[ & 1900000 & 11 & 0.183333 & 0.7 & 1e-06 \tabularnewline
[2e+06,2200000[ & 2100000 & 10 & 0.166667 & 0.866667 & 1e-06 \tabularnewline
[2200000,2400000[ & 2300000 & 6 & 0.1 & 0.966667 & 0 \tabularnewline
[2400000,2600000] & 2500000 & 2 & 0.033333 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163800&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][1e+06,1200000[[/C][C]1100000[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0[/C][/ROW]
[ROW][C][1200000,1400000[[/C][C]1300000[/C][C]6[/C][C]0.1[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][1400000,1600000[[/C][C]1500000[/C][C]13[/C][C]0.216667[/C][C]0.35[/C][C]1e-06[/C][/ROW]
[ROW][C][1600000,1800000[[/C][C]1700000[/C][C]10[/C][C]0.166667[/C][C]0.516667[/C][C]1e-06[/C][/ROW]
[ROW][C][1800000,2e+06[[/C][C]1900000[/C][C]11[/C][C]0.183333[/C][C]0.7[/C][C]1e-06[/C][/ROW]
[ROW][C][2e+06,2200000[[/C][C]2100000[/C][C]10[/C][C]0.166667[/C][C]0.866667[/C][C]1e-06[/C][/ROW]
[ROW][C][2200000,2400000[[/C][C]2300000[/C][C]6[/C][C]0.1[/C][C]0.966667[/C][C]0[/C][/ROW]
[ROW][C][2400000,2600000][/C][C]2500000[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163800&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163800&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
[1e+06,1200000[110000020.0333330.0333330
[1200000,1400000[130000060.10.1333330
[1400000,1600000[1500000130.2166670.351e-06
[1600000,1800000[1700000100.1666670.5166671e-06
[1800000,2e+06[1900000110.1833330.71e-06
[2e+06,2200000[2100000100.1666670.8666671e-06
[2200000,2400000[230000060.10.9666670
[2400000,2600000]250000020.03333310


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')
}