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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 computationWed, 15 Feb 2012 13:57:23 -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/Feb/15/t132933235948xwrdr0689fz74.htm/, Retrieved Tue, 07 May 2024 19:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162538, Retrieved Tue, 07 May 2024 19:49:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2EC
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Opdracht 1] [2012-02-15 17:01:57] [e1680f202cffa2e901a7ae55f249efef]
- RMP     [Histogram] [Opdracht2Oef2Stap1] [2012-02-15 18:57:23] [8c2ac70842cc3f093ee1ba38f92d16ef] [Current]
- RMP       [Kernel Density Estimation] [Opdracht2Oef2Stap2] [2012-02-15 19:00:32] [e1680f202cffa2e901a7ae55f249efef]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1759
1563
2036
1547
1581
1826
2076
2280
2589
2752
2872
3291
3832
1968
2611
2769
2241
2079
2614
2165
3037
2670
2990
2988
2810
1930
2601
2821
2707
3142
3594
4122
5760
4039
5632
4990
3721
3397
5207
3523
3090
3523
4063
3923
3647
3509
3381
2553
3087
2105
2881
2837
2622
2375
2560
2229
2281
2218
1721
2099
1697
2125
1990
2340
1650
2054
2588
3176
4085
4365
4479
4293
3693
3197
4835
3709
3250
3564
3538
3391
3450

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162538&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]0 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=162538&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162538&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1500,2000[1750110.1358020.1358020.000272
[2000,2500[2250150.1851850.3209880.00037
[2500,3000[2750190.2345680.5555560.000469
[3000,3500[3250120.1481480.7037040.000296
[3500,4000[3750120.1481480.8518520.000296
[4000,4500[425070.086420.9382720.000173
[4500,5000[475020.0246910.9629634.9e-05
[5000,5500[525010.0123460.9753092.5e-05
[5500,6000]575020.02469114.9e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1500,2000[ & 1750 & 11 & 0.135802 & 0.135802 & 0.000272 \tabularnewline
[2000,2500[ & 2250 & 15 & 0.185185 & 0.320988 & 0.00037 \tabularnewline
[2500,3000[ & 2750 & 19 & 0.234568 & 0.555556 & 0.000469 \tabularnewline
[3000,3500[ & 3250 & 12 & 0.148148 & 0.703704 & 0.000296 \tabularnewline
[3500,4000[ & 3750 & 12 & 0.148148 & 0.851852 & 0.000296 \tabularnewline
[4000,4500[ & 4250 & 7 & 0.08642 & 0.938272 & 0.000173 \tabularnewline
[4500,5000[ & 4750 & 2 & 0.024691 & 0.962963 & 4.9e-05 \tabularnewline
[5000,5500[ & 5250 & 1 & 0.012346 & 0.975309 & 2.5e-05 \tabularnewline
[5500,6000] & 5750 & 2 & 0.024691 & 1 & 4.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162538&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][1500,2000[[/C][C]1750[/C][C]11[/C][C]0.135802[/C][C]0.135802[/C][C]0.000272[/C][/ROW]
[ROW][C][2000,2500[[/C][C]2250[/C][C]15[/C][C]0.185185[/C][C]0.320988[/C][C]0.00037[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]19[/C][C]0.234568[/C][C]0.555556[/C][C]0.000469[/C][/ROW]
[ROW][C][3000,3500[[/C][C]3250[/C][C]12[/C][C]0.148148[/C][C]0.703704[/C][C]0.000296[/C][/ROW]
[ROW][C][3500,4000[[/C][C]3750[/C][C]12[/C][C]0.148148[/C][C]0.851852[/C][C]0.000296[/C][/ROW]
[ROW][C][4000,4500[[/C][C]4250[/C][C]7[/C][C]0.08642[/C][C]0.938272[/C][C]0.000173[/C][/ROW]
[ROW][C][4500,5000[[/C][C]4750[/C][C]2[/C][C]0.024691[/C][C]0.962963[/C][C]4.9e-05[/C][/ROW]
[ROW][C][5000,5500[[/C][C]5250[/C][C]1[/C][C]0.012346[/C][C]0.975309[/C][C]2.5e-05[/C][/ROW]
[ROW][C][5500,6000][/C][C]5750[/C][C]2[/C][C]0.024691[/C][C]1[/C][C]4.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162538&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162538&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
[1500,2000[1750110.1358020.1358020.000272
[2000,2500[2250150.1851850.3209880.00037
[2500,3000[2750190.2345680.5555560.000469
[3000,3500[3250120.1481480.7037040.000296
[3500,4000[3750120.1481480.8518520.000296
[4000,4500[425070.086420.9382720.000173
[4500,5000[475020.0246910.9629634.9e-05
[5000,5500[525010.0123460.9753092.5e-05
[5500,6000]575020.02469114.9e-05


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')
}