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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 17 Dec 2016 15:39:55 +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/Dec/17/t1481985609hs16rmuzdz2tppk.htm/, Retrieved Thu, 02 May 2024 05:59:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300820, Retrieved Thu, 02 May 2024 05:59:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [N1030 Histogram] [2016-12-17 14:39:55] [2e11ca31a00cf8de75c33c1af2d59434] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3203.4
3248.4
3446.2
3448.6
3535
3586.8
3722.4
3796.6
3755
3654.4
3485.2
3348.6
3177
3207.2
3236.2
3358.8
3436
3563.2
3588.8
3645.4
3801.2
3856.2
4056.4
3894.4
3844.4
3712.2
3765.4
3874.8
3777
3879.2
3879
4043.2
4118.8
4103.2
4188.8
4496.6
4646
4710
4713
4440
4498.2
4266.6
4253.4
4133.2

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300820&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300820&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3000,3200[310010.0227270.0227270.000114
[3200,3400[330060.1363640.1590910.000682
[3400,3600[350080.1818180.3409090.000909
[3600,3800[370080.1818180.5227270.000909
[3800,4000[390070.1590910.6818180.000795
[4000,4200[410060.1363640.8181820.000682
[4200,4400[430020.0454550.8636360.000227
[4400,4600[450030.0681820.9318180.000341
[4600,4800]470030.06818210.000341

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3000,3200[ & 3100 & 1 & 0.022727 & 0.022727 & 0.000114 \tabularnewline
[3200,3400[ & 3300 & 6 & 0.136364 & 0.159091 & 0.000682 \tabularnewline
[3400,3600[ & 3500 & 8 & 0.181818 & 0.340909 & 0.000909 \tabularnewline
[3600,3800[ & 3700 & 8 & 0.181818 & 0.522727 & 0.000909 \tabularnewline
[3800,4000[ & 3900 & 7 & 0.159091 & 0.681818 & 0.000795 \tabularnewline
[4000,4200[ & 4100 & 6 & 0.136364 & 0.818182 & 0.000682 \tabularnewline
[4200,4400[ & 4300 & 2 & 0.045455 & 0.863636 & 0.000227 \tabularnewline
[4400,4600[ & 4500 & 3 & 0.068182 & 0.931818 & 0.000341 \tabularnewline
[4600,4800] & 4700 & 3 & 0.068182 & 1 & 0.000341 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300820&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][3000,3200[[/C][C]3100[/C][C]1[/C][C]0.022727[/C][C]0.022727[/C][C]0.000114[/C][/ROW]
[ROW][C][3200,3400[[/C][C]3300[/C][C]6[/C][C]0.136364[/C][C]0.159091[/C][C]0.000682[/C][/ROW]
[ROW][C][3400,3600[[/C][C]3500[/C][C]8[/C][C]0.181818[/C][C]0.340909[/C][C]0.000909[/C][/ROW]
[ROW][C][3600,3800[[/C][C]3700[/C][C]8[/C][C]0.181818[/C][C]0.522727[/C][C]0.000909[/C][/ROW]
[ROW][C][3800,4000[[/C][C]3900[/C][C]7[/C][C]0.159091[/C][C]0.681818[/C][C]0.000795[/C][/ROW]
[ROW][C][4000,4200[[/C][C]4100[/C][C]6[/C][C]0.136364[/C][C]0.818182[/C][C]0.000682[/C][/ROW]
[ROW][C][4200,4400[[/C][C]4300[/C][C]2[/C][C]0.045455[/C][C]0.863636[/C][C]0.000227[/C][/ROW]
[ROW][C][4400,4600[[/C][C]4500[/C][C]3[/C][C]0.068182[/C][C]0.931818[/C][C]0.000341[/C][/ROW]
[ROW][C][4600,4800][/C][C]4700[/C][C]3[/C][C]0.068182[/C][C]1[/C][C]0.000341[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300820&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
[3000,3200[310010.0227270.0227270.000114
[3200,3400[330060.1363640.1590910.000682
[3400,3600[350080.1818180.3409090.000909
[3600,3800[370080.1818180.5227270.000909
[3800,4000[390070.1590910.6818180.000795
[4000,4200[410060.1363640.8181820.000682
[4200,4400[430020.0454550.8636360.000227
[4400,4600[450030.0681820.9318180.000341
[4600,4800]470030.06818210.000341


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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,'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')
}