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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 computationWed, 15 Feb 2012 06:44:22 -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/2012/Feb/15/t1329306494553vtby39sdyvbv.htm/, Retrieved Tue, 07 May 2024 17:59:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162405, Retrieved Tue, 07 May 2024 17:59:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [N werkende werkzo...] [2012-02-15 11:44:22] [6bc76992abd60365a139c3a4f687f4e1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98658
96945
92497
90687
88796
90015
113228
118711
117460
106556
97347
92657
93118
89037
83570
81693
75956
73993
97088
102394
96549
89727
82336
82653
82303
79596
74472
73562
66618
69029
89899
93774
90305
83799
80320
82497
84420
84646
84186
83269
77793
81145
101691
107357
104253
95963
91432
94324
93855
92183
87600
83641
78195
79604
100846
105293
102518
93132
87479
85476
85460
82868
79941
76909
72613
72496
93244
99126
96748
89318
84724
83111
87497

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=162405&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=162405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162405&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
[65000,70000[6750020.0273970.0273975e-06
[70000,75000[7250050.0684930.095891.4e-05
[75000,80000[7750070.095890.1917811.9e-05
[80000,85000[82500170.2328770.4246584.7e-05
[85000,90000[87500100.1369860.5616442.7e-05
[90000,95000[92500130.1780820.7397263.6e-05
[95000,1e+05[9750080.1095890.8493152.2e-05
[1e+05,105000[10250050.0684930.9178081.4e-05
[105000,110000[10750030.0410960.9589048e-06
[110000,115000[11250010.0136990.9726033e-06
[115000,120000]11750020.02739715e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[65000,70000[ & 67500 & 2 & 0.027397 & 0.027397 & 5e-06 \tabularnewline
[70000,75000[ & 72500 & 5 & 0.068493 & 0.09589 & 1.4e-05 \tabularnewline
[75000,80000[ & 77500 & 7 & 0.09589 & 0.191781 & 1.9e-05 \tabularnewline
[80000,85000[ & 82500 & 17 & 0.232877 & 0.424658 & 4.7e-05 \tabularnewline
[85000,90000[ & 87500 & 10 & 0.136986 & 0.561644 & 2.7e-05 \tabularnewline
[90000,95000[ & 92500 & 13 & 0.178082 & 0.739726 & 3.6e-05 \tabularnewline
[95000,1e+05[ & 97500 & 8 & 0.109589 & 0.849315 & 2.2e-05 \tabularnewline
[1e+05,105000[ & 102500 & 5 & 0.068493 & 0.917808 & 1.4e-05 \tabularnewline
[105000,110000[ & 107500 & 3 & 0.041096 & 0.958904 & 8e-06 \tabularnewline
[110000,115000[ & 112500 & 1 & 0.013699 & 0.972603 & 3e-06 \tabularnewline
[115000,120000] & 117500 & 2 & 0.027397 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162405&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][65000,70000[[/C][C]67500[/C][C]2[/C][C]0.027397[/C][C]0.027397[/C][C]5e-06[/C][/ROW]
[ROW][C][70000,75000[[/C][C]72500[/C][C]5[/C][C]0.068493[/C][C]0.09589[/C][C]1.4e-05[/C][/ROW]
[ROW][C][75000,80000[[/C][C]77500[/C][C]7[/C][C]0.09589[/C][C]0.191781[/C][C]1.9e-05[/C][/ROW]
[ROW][C][80000,85000[[/C][C]82500[/C][C]17[/C][C]0.232877[/C][C]0.424658[/C][C]4.7e-05[/C][/ROW]
[ROW][C][85000,90000[[/C][C]87500[/C][C]10[/C][C]0.136986[/C][C]0.561644[/C][C]2.7e-05[/C][/ROW]
[ROW][C][90000,95000[[/C][C]92500[/C][C]13[/C][C]0.178082[/C][C]0.739726[/C][C]3.6e-05[/C][/ROW]
[ROW][C][95000,1e+05[[/C][C]97500[/C][C]8[/C][C]0.109589[/C][C]0.849315[/C][C]2.2e-05[/C][/ROW]
[ROW][C][1e+05,105000[[/C][C]102500[/C][C]5[/C][C]0.068493[/C][C]0.917808[/C][C]1.4e-05[/C][/ROW]
[ROW][C][105000,110000[[/C][C]107500[/C][C]3[/C][C]0.041096[/C][C]0.958904[/C][C]8e-06[/C][/ROW]
[ROW][C][110000,115000[[/C][C]112500[/C][C]1[/C][C]0.013699[/C][C]0.972603[/C][C]3e-06[/C][/ROW]
[ROW][C][115000,120000][/C][C]117500[/C][C]2[/C][C]0.027397[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162405&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
[65000,70000[6750020.0273970.0273975e-06
[70000,75000[7250050.0684930.095891.4e-05
[75000,80000[7750070.095890.1917811.9e-05
[80000,85000[82500170.2328770.4246584.7e-05
[85000,90000[87500100.1369860.5616442.7e-05
[90000,95000[92500130.1780820.7397263.6e-05
[95000,1e+05[9750080.1095890.8493152.2e-05
[1e+05,105000[10250050.0684930.9178081.4e-05
[105000,110000[10750030.0410960.9589048e-06
[110000,115000[11250010.0136990.9726033e-06
[115000,120000]11750020.02739715e-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')
}