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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, 16 Aug 2013 08:56:45 -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/2013/Aug/16/t1376657877iqxfuxlaqpgz20k.htm/, Retrieved Sun, 28 Apr 2024 12:00:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211120, Retrieved Sun, 28 Apr 2024 12:00:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDe Laere Dieter
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks 1 - Sta...] [2013-08-16 12:56:45] [bc2cf5f41ec5ca561b7a550898b8dd0d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
145756
145472
145160
144588
150460
150172
145756
142820
143108
143108
143392
143992
143992
141340
140172
141340
145472
144872
139288
134560
133676
131908
133104
134560
133988
132792
130456
132792
134872
134272
127492
124556
121620
119256
118972
120736
118372
117488
116604
121620
122192
119256
111304
107772
102188
99820
100988
102756
102756
101304
100988
105720
109540
107772
101872
98940
92756
88936
91872
94808
94808
90988
90704
95688
98940
97768
91872
88052
79788
76568
77736
82752
83036
75684
78336
84804
87740
85972
78024
72436
65968
60952
63004
67420
66252
59784
61836
68304
71840
69788
61836
58304
53004
47416
48300
52716
53288
47988
48872
56252
58016
55056
44168
38584
31204
23852
26216
29436
28868
23252
26500
34452
37984
36220
29152
23568
17668
10884
12084
14136

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211120&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211120&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211120&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20000[1000040.0333330.0333332e-06
[20000,40000[30000130.1083330.1416675e-06
[40000,60000[50000130.1083330.255e-06
[60000,80000[70000170.1416670.3916677e-06
[80000,1e+05[90000190.1583330.558e-06
[1e+05,120000[110000180.150.78e-06
[120000,140000[130000180.150.858e-06
[140000,160000]150000180.1518e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20000[ & 10000 & 4 & 0.033333 & 0.033333 & 2e-06 \tabularnewline
[20000,40000[ & 30000 & 13 & 0.108333 & 0.141667 & 5e-06 \tabularnewline
[40000,60000[ & 50000 & 13 & 0.108333 & 0.25 & 5e-06 \tabularnewline
[60000,80000[ & 70000 & 17 & 0.141667 & 0.391667 & 7e-06 \tabularnewline
[80000,1e+05[ & 90000 & 19 & 0.158333 & 0.55 & 8e-06 \tabularnewline
[1e+05,120000[ & 110000 & 18 & 0.15 & 0.7 & 8e-06 \tabularnewline
[120000,140000[ & 130000 & 18 & 0.15 & 0.85 & 8e-06 \tabularnewline
[140000,160000] & 150000 & 18 & 0.15 & 1 & 8e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211120&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][0,20000[[/C][C]10000[/C][C]4[/C][C]0.033333[/C][C]0.033333[/C][C]2e-06[/C][/ROW]
[ROW][C][20000,40000[[/C][C]30000[/C][C]13[/C][C]0.108333[/C][C]0.141667[/C][C]5e-06[/C][/ROW]
[ROW][C][40000,60000[[/C][C]50000[/C][C]13[/C][C]0.108333[/C][C]0.25[/C][C]5e-06[/C][/ROW]
[ROW][C][60000,80000[[/C][C]70000[/C][C]17[/C][C]0.141667[/C][C]0.391667[/C][C]7e-06[/C][/ROW]
[ROW][C][80000,1e+05[[/C][C]90000[/C][C]19[/C][C]0.158333[/C][C]0.55[/C][C]8e-06[/C][/ROW]
[ROW][C][1e+05,120000[[/C][C]110000[/C][C]18[/C][C]0.15[/C][C]0.7[/C][C]8e-06[/C][/ROW]
[ROW][C][120000,140000[[/C][C]130000[/C][C]18[/C][C]0.15[/C][C]0.85[/C][C]8e-06[/C][/ROW]
[ROW][C][140000,160000][/C][C]150000[/C][C]18[/C][C]0.15[/C][C]1[/C][C]8e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211120&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211120&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
[0,20000[1000040.0333330.0333332e-06
[20000,40000[30000130.1083330.1416675e-06
[40000,60000[50000130.1083330.255e-06
[60000,80000[70000170.1416670.3916677e-06
[80000,1e+05[90000190.1583330.558e-06
[1e+05,120000[110000180.150.78e-06
[120000,140000[130000180.150.858e-06
[140000,160000]150000180.1518e-06


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')
}