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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, 18 Sep 2013 07:08:16 -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/Sep/18/t1379502548kz0q22zrh91juo7.htm/, Retrieved Sat, 27 Apr 2024 15:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211455, Retrieved Sat, 27 Apr 2024 15:58:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-09-18 11:08:16] [3e2b14d12dd0cca2f2b67dfbdf2cdaf9] [Current]
- RM      [Histogram] [] [2013-09-26 10:35:40] [74be16979710d4c4e7c6647856088456]
- R P     [Histogram] [] [2013-09-26 10:44:06] [74be16979710d4c4e7c6647856088456]
- R P     [Histogram] [] [2013-09-26 10:45:56] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
115699
117589
124527
133111
134210
121563
97680
96301
99772
104009
110030
111203
105698
108120
114045
124144
126656
120092
92286
92462
97968
102304
106365
109843
109415
112454
119920
132540
135574
130455
102082
100001
107304
112514
118240
120528
121225
118277
123725
134704
137448
130676
103493
99197
106534
108293
109078
109337
106758
104519
108811
117008
120327
115867
87486
84031
93248
94545
101281
104782
104919
105531
114971
123946
130374
124129
93051
94542
101802
104609
111272
116566
115614
122683
134339
149147
149946
143565
112093
110737
113719
116615
122716
125326

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=211455&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=211455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211455&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
[80000,90000[8500020.023810.023812e-06
[90000,1e+05[95000110.1309520.1547621.3e-05
[1e+05,110000[105000240.2857140.4404762.9e-05
[110000,120000[115000200.2380950.6785712.4e-05
[120000,130000[125000140.1666670.8452381.7e-05
[130000,140000[135000100.1190480.9642861.2e-05
[140000,150000]14500030.03571414e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80000,90000[ & 85000 & 2 & 0.02381 & 0.02381 & 2e-06 \tabularnewline
[90000,1e+05[ & 95000 & 11 & 0.130952 & 0.154762 & 1.3e-05 \tabularnewline
[1e+05,110000[ & 105000 & 24 & 0.285714 & 0.440476 & 2.9e-05 \tabularnewline
[110000,120000[ & 115000 & 20 & 0.238095 & 0.678571 & 2.4e-05 \tabularnewline
[120000,130000[ & 125000 & 14 & 0.166667 & 0.845238 & 1.7e-05 \tabularnewline
[130000,140000[ & 135000 & 10 & 0.119048 & 0.964286 & 1.2e-05 \tabularnewline
[140000,150000] & 145000 & 3 & 0.035714 & 1 & 4e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211455&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][80000,90000[[/C][C]85000[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]2e-06[/C][/ROW]
[ROW][C][90000,1e+05[[/C][C]95000[/C][C]11[/C][C]0.130952[/C][C]0.154762[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1e+05,110000[[/C][C]105000[/C][C]24[/C][C]0.285714[/C][C]0.440476[/C][C]2.9e-05[/C][/ROW]
[ROW][C][110000,120000[[/C][C]115000[/C][C]20[/C][C]0.238095[/C][C]0.678571[/C][C]2.4e-05[/C][/ROW]
[ROW][C][120000,130000[[/C][C]125000[/C][C]14[/C][C]0.166667[/C][C]0.845238[/C][C]1.7e-05[/C][/ROW]
[ROW][C][130000,140000[[/C][C]135000[/C][C]10[/C][C]0.119048[/C][C]0.964286[/C][C]1.2e-05[/C][/ROW]
[ROW][C][140000,150000][/C][C]145000[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]4e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211455&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
[80000,90000[8500020.023810.023812e-06
[90000,1e+05[95000110.1309520.1547621.3e-05
[1e+05,110000[105000240.2857140.4404762.9e-05
[110000,120000[115000200.2380950.6785712.4e-05
[120000,130000[125000140.1666670.8452381.7e-05
[130000,140000[135000100.1190480.9642861.2e-05
[140000,150000]14500030.03571414e-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')
}