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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 computationTue, 12 Feb 2013 08:33:56 -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/2013/Feb/12/t1360676050q2dyhsefn12md5i.htm/, Retrieved Sun, 28 Apr 2024 19:27:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206353, Retrieved Sun, 28 Apr 2024 19:27:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Economische situa...] [2013-02-05 15:31:24] [41b8d88384d696c671e043f0c3bb96a9]
- R P     [Histogram] [Economische situa...] [2013-02-12 13:33:56] [5d7546d7dacadccf70943ca90d1ce990] [Current]
-           [Histogram] [Economische situa...] [2013-02-12 13:35:22] [41b8d88384d696c671e043f0c3bb96a9]
- RM        [Kernel Density Estimation] [Economische situa...] [2013-02-12 13:36:51] [41b8d88384d696c671e043f0c3bb96a9]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-48
-47
-37
-33
-30
-14
-16
-8
-14
-19
-10
-21
-17
-12
-19
-17
-15
-25
-36
-37
-22
-37
-38
-41
-38
-34
-42
-44
-47
-58
-61
-64
-67
-69
-72
-69
-69
-63
-66
-56
-63
-66
-55
-50
-46
-39
-38
-40
-33
-30
-14
-16
-10
-8
-4
-4
2
-6
-6
-7
-15
-7
-8
-10
-16
-10
-16
-17
-19
-21
-20
-19
-25
-28
-33
-43
-32
-38
-38
-31
-19
-12
-18
-21

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=206353&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=206353&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206353&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
[-80,-60[-70110.1309520.1309520.006548
[-60,-40[-50120.1428570.273810.007143
[-40,-20[-30260.3095240.5833330.015476
[-20,0[-10340.4047620.9880950.020238
[0,20]1010.01190510.000595

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-80,-60[ & -70 & 11 & 0.130952 & 0.130952 & 0.006548 \tabularnewline
[-60,-40[ & -50 & 12 & 0.142857 & 0.27381 & 0.007143 \tabularnewline
[-40,-20[ & -30 & 26 & 0.309524 & 0.583333 & 0.015476 \tabularnewline
[-20,0[ & -10 & 34 & 0.404762 & 0.988095 & 0.020238 \tabularnewline
[0,20] & 10 & 1 & 0.011905 & 1 & 0.000595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206353&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][-80,-60[[/C][C]-70[/C][C]11[/C][C]0.130952[/C][C]0.130952[/C][C]0.006548[/C][/ROW]
[ROW][C][-60,-40[[/C][C]-50[/C][C]12[/C][C]0.142857[/C][C]0.27381[/C][C]0.007143[/C][/ROW]
[ROW][C][-40,-20[[/C][C]-30[/C][C]26[/C][C]0.309524[/C][C]0.583333[/C][C]0.015476[/C][/ROW]
[ROW][C][-20,0[[/C][C]-10[/C][C]34[/C][C]0.404762[/C][C]0.988095[/C][C]0.020238[/C][/ROW]
[ROW][C][0,20][/C][C]10[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]0.000595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206353&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206353&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
[-80,-60[-70110.1309520.1309520.006548
[-60,-40[-50120.1428570.273810.007143
[-40,-20[-30260.3095240.5833330.015476
[-20,0[-10340.4047620.9880950.020238
[0,20]1010.01190510.000595


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = grey ; par3 = TRUE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 5 ; 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')
}