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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 computationFri, 28 Sep 2012 03:31:53 -0400
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/Sep/28/t1348817573qipj25t6vr45lj4.htm/, Retrieved Sat, 04 May 2024 10:52:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170154, Retrieved Sat, 04 May 2024 10:52:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-09-28 07:31:53] [0dfc9291120e0017631158d00b067a5a] [Current]
- RM      [Histogram] [] [2012-10-02 10:12:36] [04fa4ee604cd977030026ba8260136a9]
- RMP     [Kernel Density Estimation] [] [2012-10-02 10:36:25] [04fa4ee604cd977030026ba8260136a9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2048
2037
2149
2124
2205
2489
2573
2702
2718
2646
2712
2634
2614
2637
2649
2579
2505
2462
2467
2447
2656
2626
2483
2540
2503
2467
2513
2443
2293
2071
2030
2052
1864
1670
1811
1905
1863
2014
2198
2962
3047
3033
3504
3801
3858
3674
3721
3844
4117
4105
4435
4296
4203
4563
4621
4697
4591
4357
4503
4444
4291
4200
4139
3970
3862
3702
3570
3801
3896
3918
3813
3667

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170154&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170154&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' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1500,2000[175050.0694440.0694440.000139
[2000,2500[2250180.250.3194445e-04
[2500,3000[2750170.2361110.5555560.000472
[3000,3500[325020.0277780.5833335.6e-05
[3500,4000[3750150.2083330.7916670.000417
[4000,4500[4250100.1388890.9305560.000278
[4500,5000]475050.06944410.000139

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1500,2000[ & 1750 & 5 & 0.069444 & 0.069444 & 0.000139 \tabularnewline
[2000,2500[ & 2250 & 18 & 0.25 & 0.319444 & 5e-04 \tabularnewline
[2500,3000[ & 2750 & 17 & 0.236111 & 0.555556 & 0.000472 \tabularnewline
[3000,3500[ & 3250 & 2 & 0.027778 & 0.583333 & 5.6e-05 \tabularnewline
[3500,4000[ & 3750 & 15 & 0.208333 & 0.791667 & 0.000417 \tabularnewline
[4000,4500[ & 4250 & 10 & 0.138889 & 0.930556 & 0.000278 \tabularnewline
[4500,5000] & 4750 & 5 & 0.069444 & 1 & 0.000139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170154&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]5[/C][C]0.069444[/C][C]0.069444[/C][C]0.000139[/C][/ROW]
[ROW][C][2000,2500[[/C][C]2250[/C][C]18[/C][C]0.25[/C][C]0.319444[/C][C]5e-04[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]17[/C][C]0.236111[/C][C]0.555556[/C][C]0.000472[/C][/ROW]
[ROW][C][3000,3500[[/C][C]3250[/C][C]2[/C][C]0.027778[/C][C]0.583333[/C][C]5.6e-05[/C][/ROW]
[ROW][C][3500,4000[[/C][C]3750[/C][C]15[/C][C]0.208333[/C][C]0.791667[/C][C]0.000417[/C][/ROW]
[ROW][C][4000,4500[[/C][C]4250[/C][C]10[/C][C]0.138889[/C][C]0.930556[/C][C]0.000278[/C][/ROW]
[ROW][C][4500,5000][/C][C]4750[/C][C]5[/C][C]0.069444[/C][C]1[/C][C]0.000139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170154&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[175050.0694440.0694440.000139
[2000,2500[2250180.250.3194445e-04
[2500,3000[2750170.2361110.5555560.000472
[3000,3500[325020.0277780.5833335.6e-05
[3500,4000[3750150.2083330.7916670.000417
[4000,4500[4250100.1388890.9305560.000278
[4500,5000]475050.06944410.000139


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')
}