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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 computationMon, 17 Aug 2015 08:08:56 +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/2015/Aug/17/t1439795366x0uywigs3daqbep.htm/, Retrieved Wed, 15 May 2024 13:10:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280237, Retrieved Wed, 15 May 2024 13:10:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

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] [] [2014-09-20 19:01:39] [46d78fa4bef23992fc20db72a2a0da97]
- R PD  [Univariate Data Series] [] [2015-08-16 14:59:07] [46d78fa4bef23992fc20db72a2a0da97]
- RMPD    [Histogram] [] [2015-08-16 22:19:20] [46d78fa4bef23992fc20db72a2a0da97]
- R           [Histogram] [] [2015-08-17 07:08:56] [fced41568b3cc41e6659ad201d611503] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
193590
193745
193885
194040
194190
194345
194495
194650
194805
194955
195110
195260
195415
195570
195710
195865
196015
196170
196320
196475
196630
196780
196935
197085
197240
197395
197540
197695
197845
198000
198150
198305
198460
198610
198765
198915
199070
199225
199365
199520
199670
199825
199975
200130
200285
200435
200590
200740
200895
201050
201190
201345
201495
201650
201800
201955
202110
202260
202415
202565
202720
202875
203015
203170
203320
203475
203625
203780
203935
204085
204240
204390
204545
204700
204845
205000
205150
205305
205455
205610
205765
205915
206070
206220
206375
206530
206670
206825
206975
207130
207280
207435
207590
207740
207895
208045
208200
208355
208495
208650
208800
208955
209105
209260
209415
209565
209720
209870

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280237&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280237&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280237&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[192000,194000[19300030.0277780.0277781.4e-05
[194000,196000[195000130.120370.1481486e-05
[196000,198000[197000130.120370.2685196e-05
[198000,2e+05[199000140.129630.3981486.5e-05
[2e+05,202000[201000130.120370.5185196e-05
[202000,204000[203000130.120370.6388896e-05
[204000,206000[205000130.120370.7592596e-05
[206000,208000[207000130.120370.879636e-05
[208000,210000]209000130.1203716e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[192000,194000[ & 193000 & 3 & 0.027778 & 0.027778 & 1.4e-05 \tabularnewline
[194000,196000[ & 195000 & 13 & 0.12037 & 0.148148 & 6e-05 \tabularnewline
[196000,198000[ & 197000 & 13 & 0.12037 & 0.268519 & 6e-05 \tabularnewline
[198000,2e+05[ & 199000 & 14 & 0.12963 & 0.398148 & 6.5e-05 \tabularnewline
[2e+05,202000[ & 201000 & 13 & 0.12037 & 0.518519 & 6e-05 \tabularnewline
[202000,204000[ & 203000 & 13 & 0.12037 & 0.638889 & 6e-05 \tabularnewline
[204000,206000[ & 205000 & 13 & 0.12037 & 0.759259 & 6e-05 \tabularnewline
[206000,208000[ & 207000 & 13 & 0.12037 & 0.87963 & 6e-05 \tabularnewline
[208000,210000] & 209000 & 13 & 0.12037 & 1 & 6e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280237&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][192000,194000[[/C][C]193000[/C][C]3[/C][C]0.027778[/C][C]0.027778[/C][C]1.4e-05[/C][/ROW]
[ROW][C][194000,196000[[/C][C]195000[/C][C]13[/C][C]0.12037[/C][C]0.148148[/C][C]6e-05[/C][/ROW]
[ROW][C][196000,198000[[/C][C]197000[/C][C]13[/C][C]0.12037[/C][C]0.268519[/C][C]6e-05[/C][/ROW]
[ROW][C][198000,2e+05[[/C][C]199000[/C][C]14[/C][C]0.12963[/C][C]0.398148[/C][C]6.5e-05[/C][/ROW]
[ROW][C][2e+05,202000[[/C][C]201000[/C][C]13[/C][C]0.12037[/C][C]0.518519[/C][C]6e-05[/C][/ROW]
[ROW][C][202000,204000[[/C][C]203000[/C][C]13[/C][C]0.12037[/C][C]0.638889[/C][C]6e-05[/C][/ROW]
[ROW][C][204000,206000[[/C][C]205000[/C][C]13[/C][C]0.12037[/C][C]0.759259[/C][C]6e-05[/C][/ROW]
[ROW][C][206000,208000[[/C][C]207000[/C][C]13[/C][C]0.12037[/C][C]0.87963[/C][C]6e-05[/C][/ROW]
[ROW][C][208000,210000][/C][C]209000[/C][C]13[/C][C]0.12037[/C][C]1[/C][C]6e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280237&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280237&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
[192000,194000[19300030.0277780.0277781.4e-05
[194000,196000[195000130.120370.1481486e-05
[196000,198000[197000130.120370.2685196e-05
[198000,2e+05[199000140.129630.3981486.5e-05
[2e+05,202000[201000130.120370.5185196e-05
[202000,204000[203000130.120370.6388896e-05
[204000,206000[205000130.120370.7592596e-05
[206000,208000[207000130.120370.879636e-05
[208000,210000]209000130.1203716e-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')
}