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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 computationSat, 20 Feb 2010 15:42:57 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Feb/20/t1266705896o86bmpd4hxw4j8p.htm/, Retrieved Thu, 25 Apr 2024 05:53:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73209, Retrieved Thu, 25 Apr 2024 05:53:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact226

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Maximum Leeftijd ...] [2010-02-20 22:42:57] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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12

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73209&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73209&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[51960.2284380.2284380.022844
[10,20[156460.7529140.9813520.075291
[20,30[2510.0011660.9825170.000117
[30,40[35000.9825170
[40,50[45000.9825170
[50,60[5510.0011660.9836830.000117
[60,70[65000.9836830
[70,80[7510.0011660.9848480.000117
[80,90[8510.0011660.9860140.000117
[90,100]95120.01398610.001399

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 196 & 0.228438 & 0.228438 & 0.022844 \tabularnewline
[10,20[ & 15 & 646 & 0.752914 & 0.981352 & 0.075291 \tabularnewline
[20,30[ & 25 & 1 & 0.001166 & 0.982517 & 0.000117 \tabularnewline
[30,40[ & 35 & 0 & 0 & 0.982517 & 0 \tabularnewline
[40,50[ & 45 & 0 & 0 & 0.982517 & 0 \tabularnewline
[50,60[ & 55 & 1 & 0.001166 & 0.983683 & 0.000117 \tabularnewline
[60,70[ & 65 & 0 & 0 & 0.983683 & 0 \tabularnewline
[70,80[ & 75 & 1 & 0.001166 & 0.984848 & 0.000117 \tabularnewline
[80,90[ & 85 & 1 & 0.001166 & 0.986014 & 0.000117 \tabularnewline
[90,100] & 95 & 12 & 0.013986 & 1 & 0.001399 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73209&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][0,10[[/C][C]5[/C][C]196[/C][C]0.228438[/C][C]0.228438[/C][C]0.022844[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]646[/C][C]0.752914[/C][C]0.981352[/C][C]0.075291[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]1[/C][C]0.001166[/C][C]0.982517[/C][C]0.000117[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]0[/C][C]0[/C][C]0.982517[/C][C]0[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]1[/C][C]0.001166[/C][C]0.983683[/C][C]0.000117[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]1[/C][C]0.001166[/C][C]0.984848[/C][C]0.000117[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]1[/C][C]0.001166[/C][C]0.986014[/C][C]0.000117[/C][/ROW]
[ROW][C][90,100][/C][C]95[/C][C]12[/C][C]0.013986[/C][C]1[/C][C]0.001399[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73209&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
[0,10[51960.2284380.2284380.022844
[10,20[156460.7529140.9813520.075291
[20,30[2510.0011660.9825170.000117
[30,40[35000.9825170
[40,50[45000.9825170
[50,60[5510.0011660.9836830.000117
[60,70[65000.9836830
[70,80[7510.0011660.9848480.000117
[80,90[8510.0011660.9860140.000117
[90,100]95120.01398610.001399


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.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)
}
dev.off()
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')