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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 16:41:17 -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/21/t1266709346a5088qsexajkltd.htm/, Retrieved Wed, 24 Apr 2024 22:25:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73221, Retrieved Wed, 24 Apr 2024 22:25:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact188

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel 2] [2010-02-20 23:41:17] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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=73221&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=73221&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73221&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
[5,10[7.52670.2966670.2966670.059333
[10,15[12.5140.0155560.3122220.003111
[15,20[17.5630.070.3822220.014
[20,25[22.53390.3766670.7588890.075333
[25,30[27.51500.1666670.9255560.033333
[30,35[32.5400.0444440.970.008889
[35,40[37.570.0077780.9777780.001556
[40,45[42.5110.0122220.990.002444
[45,50]47.590.0110.002

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,10[ & 7.5 & 267 & 0.296667 & 0.296667 & 0.059333 \tabularnewline
[10,15[ & 12.5 & 14 & 0.015556 & 0.312222 & 0.003111 \tabularnewline
[15,20[ & 17.5 & 63 & 0.07 & 0.382222 & 0.014 \tabularnewline
[20,25[ & 22.5 & 339 & 0.376667 & 0.758889 & 0.075333 \tabularnewline
[25,30[ & 27.5 & 150 & 0.166667 & 0.925556 & 0.033333 \tabularnewline
[30,35[ & 32.5 & 40 & 0.044444 & 0.97 & 0.008889 \tabularnewline
[35,40[ & 37.5 & 7 & 0.007778 & 0.977778 & 0.001556 \tabularnewline
[40,45[ & 42.5 & 11 & 0.012222 & 0.99 & 0.002444 \tabularnewline
[45,50] & 47.5 & 9 & 0.01 & 1 & 0.002 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73221&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][5,10[[/C][C]7.5[/C][C]267[/C][C]0.296667[/C][C]0.296667[/C][C]0.059333[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]14[/C][C]0.015556[/C][C]0.312222[/C][C]0.003111[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]63[/C][C]0.07[/C][C]0.382222[/C][C]0.014[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]339[/C][C]0.376667[/C][C]0.758889[/C][C]0.075333[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]150[/C][C]0.166667[/C][C]0.925556[/C][C]0.033333[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]40[/C][C]0.044444[/C][C]0.97[/C][C]0.008889[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]7[/C][C]0.007778[/C][C]0.977778[/C][C]0.001556[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]11[/C][C]0.012222[/C][C]0.99[/C][C]0.002444[/C][/ROW]
[ROW][C][45,50][/C][C]47.5[/C][C]9[/C][C]0.01[/C][C]1[/C][C]0.002[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73221&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73221&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
[5,10[7.52670.2966670.2966670.059333
[10,15[12.5140.0155560.3122220.003111
[15,20[17.5630.070.3822220.014
[20,25[22.53390.3766670.7588890.075333
[25,30[27.51500.1666670.9255560.033333
[30,35[32.5400.0444440.970.008889
[35,40[37.570.0077780.9777780.001556
[40,45[42.5110.0122220.990.002444
[45,50]47.590.0110.002


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')