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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 computationThu, 03 Aug 2017 13:50:49 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Aug/03/t1501761257vwe39obap55hwhg.htm/, Retrieved Fri, 10 May 2024 00:34:28 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 00:34:28 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70200
67600
71500
57200
74100
72800
78000
80600
89700
78000
74100
92300
78000
58500
68900
52000
72800
59800
79300
71500
75400
84500
83200
98800
71500
59800
66300
48100
68900
53300
75400
71500
63700
91000
81900
93600
70200
65000
58500
48100
63700
57200
78000
75400
65000
87100
80600
104000
83200
50700
50700
50700
59800
59800
80600
74100
66300
83200
76700
110500
87100
50700
53300
44200
61100
70200
88400
87100
70200
81900
72800
104000
79300
63700
57200
42900
63700
76700
89700
84500
62400
89700
70200
107900
89700
65000
59800
40300
63700
61100
92300
92300
70200
91000
67600
105300
89700
66300
50700
35100
68900
66300
87100
100100
74100
83200
62400
107900

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[30000,40000[3500010.0092590.0092591e-06
[40000,50000[4500050.0462960.0555565e-06
[50000,60000[55000180.1666670.2222221.7e-05
[60000,70000[65000210.1944440.4166671.9e-05
[70000,80000[75000280.2592590.6759262.6e-05
[80000,90000[85000210.1944440.870371.9e-05
[90000,100000[9500070.0648150.9351856e-06
[100000,110000[10500060.0555560.9907416e-06
[110000,120000]11500010.00925911e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[30000,40000[ & 35000 & 1 & 0.009259 & 0.009259 & 1e-06 \tabularnewline
[40000,50000[ & 45000 & 5 & 0.046296 & 0.055556 & 5e-06 \tabularnewline
[50000,60000[ & 55000 & 18 & 0.166667 & 0.222222 & 1.7e-05 \tabularnewline
[60000,70000[ & 65000 & 21 & 0.194444 & 0.416667 & 1.9e-05 \tabularnewline
[70000,80000[ & 75000 & 28 & 0.259259 & 0.675926 & 2.6e-05 \tabularnewline
[80000,90000[ & 85000 & 21 & 0.194444 & 0.87037 & 1.9e-05 \tabularnewline
[90000,100000[ & 95000 & 7 & 0.064815 & 0.935185 & 6e-06 \tabularnewline
[100000,110000[ & 105000 & 6 & 0.055556 & 0.990741 & 6e-06 \tabularnewline
[110000,120000] & 115000 & 1 & 0.009259 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][30000,40000[[/C][C]35000[/C][C]1[/C][C]0.009259[/C][C]0.009259[/C][C]1e-06[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]5[/C][C]0.046296[/C][C]0.055556[/C][C]5e-06[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]18[/C][C]0.166667[/C][C]0.222222[/C][C]1.7e-05[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]21[/C][C]0.194444[/C][C]0.416667[/C][C]1.9e-05[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]28[/C][C]0.259259[/C][C]0.675926[/C][C]2.6e-05[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]21[/C][C]0.194444[/C][C]0.87037[/C][C]1.9e-05[/C][/ROW]
[ROW][C][90000,100000[[/C][C]95000[/C][C]7[/C][C]0.064815[/C][C]0.935185[/C][C]6e-06[/C][/ROW]
[ROW][C][100000,110000[[/C][C]105000[/C][C]6[/C][C]0.055556[/C][C]0.990741[/C][C]6e-06[/C][/ROW]
[ROW][C][110000,120000][/C][C]115000[/C][C]1[/C][C]0.009259[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[30000,40000[3500010.0092590.0092591e-06
[40000,50000[4500050.0462960.0555565e-06
[50000,60000[55000180.1666670.2222221.7e-05
[60000,70000[65000210.1944440.4166671.9e-05
[70000,80000[75000280.2592590.6759262.6e-05
[80000,90000[85000210.1944440.870371.9e-05
[90000,100000[9500070.0648150.9351856e-06
[100000,110000[10500060.0555560.9907416e-06
[110000,120000]11500010.00925911e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48481212multiplicative121212Verkochte exemplaren L'EchoVerkochte exemplaren L'EchoVerkochte exemplaren L'EchoVerkochte exemplaren L'EchoVerkochte exemplaren L'Echo48Verkochte exemplaren L'Echo ; par2 = 1112DoubleDoubleDoubleniet gekendniet gekendniet gekendniet gekendniet gekend1Niet gekendgrey ; par3 = 00multiplicativemultiplicativemultiplicativeDeze reeks geeft de verkochte aantal exemplaren van L'Echo van 2006 tot 2014Deze reeks geeft de verkochte aantal exemplaren van L'Echo van 2006 tot 2014Deze reeks geeft de verkochte aantal exemplaren van L'Echo van 2006 tot 2014Deze reeks geeft de verkochte aantal exemplaren van L'Echo van 2006 tot 2014Deze reeks geeft de verkochte aantal exemplaren van L'Echo van 2006 tot 201400FALSE ; par4 = 001212121212No season121200Unknown ; par5 = 1212 ; par6 = White NoiseWhite Noise ; par7 = 0.950.95 ;
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')
}